# SearchIntel — Full Content > Complete content dump of the SearchIntel website for AI clients that fetch `llms-full.txt` as the fallback to `llms.txt`. Last generated: 21 April 2026. SearchIntel is an AI search intelligence agency helping brands win visibility across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Founded by Paul Byrne — 20+ years in search strategy; roles at MediaCom (LEGO, Adidas, Shell, Coca-Cola), Google, and TripAdvisor/Viator. --- ## SearchIntel — Homepage **Source:** https://www.searchintel.tech/ Search Intelligence for the AI Search Era | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog About Free AI Check Book a call Services Technology Travel Partners Automation Research Blog About Free AI Check Book a call # Know if AI recommends your brand and why. We help brands understand and win visibility across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. Book a call Free AI visibility checker See where you stand across AI search platforms — takes 60 seconds. Market: UK Category: Running shoes Nike vs Adidas running shoes Google AI Overview via editorial citation Recommended Nike ChatGPT secondary mention only Mentioned Adidas Claude no brand mention Not present — Gemini via product review source Recommended Brooks ## Same query. Different recommendations. Each AI platform uses different sources and selection logic. Rankings don't predict who gets recommended. Google AI Overview Recommended Nike Source: Publisher ChatGPT Mentioned Adidas Source: Reviews Claude Not present — Source: — Gemini Recommended Brooks Source: Review site Your customers are asking AI for recommendations. Are you in the answer? ## Search intelligence for the answer economy SearchIntel is an AI search intelligence agency. We combine proprietary tracking tools with strategic advisory to help brands understand and win visibility across AI platforms. Most brands don't know why they don't show up in AI answers — we fix that. We're not a DIY dashboard. We're search intelligence experts who interpret the data and tell you what to do. Methodology built on experience with ## How we work Start with a baseline. Go deeper when ready. 01 ### Get Clarity Understand where you stand in AI search with a baseline assessment or visibility audit. Learn more 02 ### Get a Plan Go deeper with a strategic diagnostic, citation strategy, or team training. Learn more 03 ### Get Results Ongoing advisory and execution to win and maintain AI visibility. Learn more See all services ## Built on 20 years of search strategy SearchIntel is founded by Paul Byrne, who spent two decades leading search strategy at agencies like MediaCom, working with brands including LEGO, Adidas, Shell, and Coca-Cola, with experience at Google and client-side roles in travel and tourism. We built SearchIntel because AI is changing how people find brands, and most companies don't have visibility into what's happening. Search intelligence — knowing exactly which AI platforms recommend your brand and which recommend your competitors — is the foundation of everything we do. Read: What is search intelligence? → ## Want to see where you stand? Book a call and we'll show you how your brand performs across AI search. Book a call Check your brand's visibility for free #### Services Get Clarity Get a Plan Get Results Technology Access AI Automation AI Search Optimization AI SEO Agency #### Company About Partners Contact Privacy Policy Terms of Service #### Resources Research Blog Free AI Check Sample Output #### Got a question? Drop us a line. Send Thanks! We'll be in touch. © SearchIntel. All rights reserved. --- ## About SearchIntel and Paul Byrne **Source:** https://www.searchintel.tech/about About SearchIntel - AI Search Intelligence Agency | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Services Technology Travel Partners Automation Research Blog Free AI Check Book a call # About SearchIntel Visibility intelligence for the answer economy. We help brands understand, measure, and improve how AI recommends them across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. ## Company Facts 2025 Founded London, UK Headquarters Independent Independent & founder-funded 5 Platforms Monitored continuously SearchIntel is an independent AI search intelligence agency based in London, UK. We were founded in 2025 to solve a problem that most brands do not yet fully understand: the shift from search to answers. Customers are no longer clicking through ten blue links. They are asking ChatGPT for recommendations, getting answers from Google AI Overviews before they see organic results, and relying on Gemini, Claude, and Perplexity to make purchasing decisions. The brands that appear in those answers win. The ones that don't are invisible in the fastest-growing discovery channel in marketing. SearchIntel exists to help brands measure, understand, and improve their visibility in this new landscape. We are not a dashboard company. We are not a traditional SEO agency. We are a strategic intelligence partner that combines proprietary monitoring technology with two decades of search strategy expertise. ## What We Do SearchIntel operates proprietary monitoring technology that tracks brand visibility across five AI platforms: ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. We query these platforms with real customer questions, hundreds of them, run each query multiple times to account for the non-deterministic nature of AI responses, and score visibility using our 8-dimension methodology. The result is a precise, data-backed picture of how AI sees your brand compared to your competitors. But data alone is not enough. Most monitoring tools stop at the dashboard. SearchIntel goes further. We combine this technology with 20 years of search strategy experience, built on work with brands like LEGO, Adidas, Coca-Cola, and TripAdvisor, to interpret the data and deliver specific, actionable recommendations. We tell you what is happening, why it matters, and exactly what to do about it. Our engagements range from one-off diagnostic audits to long-term strategic advisory and full execution programs. Whether you need to understand your current position, build a 12-month roadmap, or execute a complete AI search optimization strategy, we have a service tier that fits. ### AI Visibility Monitoring We track how your brand appears across 5 AI platforms. Share of Memory, Recommendation Rate, Entity Authority, and Citation Readiness scored and benchmarked against competitors. You get a clear picture of where you stand today and how it changes over time. ### Strategic Advisory Monthly intelligence reports, competitive analysis, and actionable recommendations. We tell you what's changing, what it means, and what to do next. Every recommendation is prioritised by impact so your team knows where to focus first. ### AI Search Optimization Structured data, third-party citation strategy, entity authority building, and content optimization. The execution layer that moves your visibility score. We handle the work, not just the strategy. ### Diagnostics & Audits 45-day deep dives covering 50-100 keywords across all AI platforms. Competitive benchmarking, citation analysis, financial impact modelling, and a 12-month roadmap. You walk away knowing exactly where you are losing visibility and how to win it back. ## Our Methodology We query the actual AI platforms, ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews, with real user questions. No proxies. No estimates. Real data from real queries. Each brand we work with gets a custom set of queries based on their category, their competitors, and the questions their customers actually ask. AI responses are non-deterministic. The same question asked twice can produce different answers. That is why we run each query multiple times to build a statistically meaningful picture of how each platform treats your brand. This approach eliminates the noise and reveals genuine patterns in visibility, recommendation, and citation. To date we have analysed over 5,600 queries and tracked visibility a [...content truncated for brevity in full dump...] --- ## SearchIntel Services and Diagnostic **Source:** https://www.searchintel.tech/diagnostic AI Search Visibility Diagnostic — 45-Day Assessment | SearchIntel "> SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Services Technology Travel Partners Automation Research Blog Free AI Check Book a call 45-Day Strategic Diagnostic For Enterprise Brands # Your Brand Is Invisible In AI Search. AI-powered search is recommending your competitors to customers who should be finding you. Our diagnostic reveals exactly where you're losing visibility and how to improve it. Traffic dropped but rankings look fine ChatGPT cites competitors, not you Invisible in Google AI Overviews No visibility into AI attribution Google AI ChatGPT Claude Gemini ## Request Your Diagnostic 45-day analysis + prioritized action plan Company Name Work Email Your Role Website Request Analysis We'll contact you within 24 hours Thank you! We'll be in touch within 24 hours. Something went wrong. Please email us directly. ## What You'll Get A complete picture of your AI search visibility ### Complete Visibility Audit Full analysis across Google AI, ChatGPT, Claude, and Gemini showing exactly where your brand appears (or doesn't). ### Competitor Gap Analysis See which competitors are being recommended instead of you and understand why they're winning. ### Revenue Impact Assessment Quantify the revenue you're losing to AI search invisibility with data-backed projections. ### 90-Day Action Plan Prioritized roadmap of exactly what to prioritise, with expected impact for each initiative. ## How the 45-day diagnostic works Four phases. One outcome. You walk away knowing exactly where AI search is costing you and what to do about it. 1 ### Week 1–2: Baseline visibility audit We run 50 to 100 queries across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Each query is tested multiple times per platform, so we capture the variance in how AI models actually recommend. Output: your share of memory across priority query sets, platform-by-platform breakdown, and the first read on whether you are visible at all. 2 ### Week 3–4: Competitive benchmarking and citation analysis We map the 5 to 10 competitors AI actually recommends alongside you or instead of you. These are not always the competitors your leadership thinks about. Then we trace the citations: Reddit threads, review sites, publisher articles, vendor directories. This is where most recommendations originate and where most brands have no footprint. 3 ### Week 5–6: Revenue impact modelling We quantify what AI invisibility is already costing you. This uses your GA4 and Search Console data plus share-of-memory gaps to estimate pipeline at risk. Not a directional estimate. A specific number you can take to a CFO. 4 ### Week 7: Executive presentation and 90-day roadmap A 60-minute session with your leadership team walking through the findings and the specific fixes, sequenced by expected impact. You leave with a prioritised roadmap and the evidence to defend the investment internally. ## What the diagnostic usually finds Three patterns we see in almost every enterprise brand we assess. ### The citation gap is bigger than the content gap Most brands we audit are publishing more content than their competitors and ranking well in traditional search. The problem is citations. AI models cite Reddit, review sites, and publisher articles far more than they cite brand websites. Brands that never earned third-party authority signals are invisible in AI answers, regardless of how strong their SEO is. ### The competitor set inside AI is not the one in the pitch deck When we ask AI platforms to recommend options in a category, the competitive set that appears is often different from the competitors your marketing team tracks. Newer entrants, direct-to-consumer brands, and international players consistently surface. If your strategy is built around a competitor list that AI does not share, your positioning is already out of sync. ### Recommendation rate is the metric that matters, not mention rate Being mentioned in an AI answer and being recommended are different outcomes. A brand can appear frequently in AI responses while almost never being the answer to "which one should I choose." We separate the two in every diagnostic because only the recommendation rate correlates to pipeline. ## Is This For You? This diagnostic is designed for established brands ### Perfect Fit If You're... An enterprise bran [...content truncated for brevity in full dump...] --- ## SearchIntel Technology Platform **Source:** https://www.searchintel.tech/technology Technology — SearchIntel AI Visibility Intelligence SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Services Technology Travel Partners Automation Research Blog Free AI Check Book a call # The intelligence behind our recommendations. We built proprietary technology to track how brands appear across AI search platforms. Here's how it works. ## Four platforms. One view. We track brand visibility across the AI platforms that matter. ### Google AI Overviews The AI answers appearing at the top of Google search results. ### ChatGPT The world's most popular AI assistant, used by millions daily. ### Claude Anthropic's AI assistant, growing rapidly in business use. ### Gemini Google's conversational AI, integrated across Google products. ## How we gather intelligence 01 ### We ask the questions We query each AI platform with your target keywords, the same questions your customers are asking. 02 ### We capture the answers We record which brands appear, where they rank, what sources are cited, and who your competitors are in each response. 03 ### We tell you what it means We turn raw data into strategic insights: what's working, what's not, and what to do about it. ## Why this is different from asking ChatGPT yourself One query, once, is not data. It is a snapshot with no context. ### AI answers vary by session, location, and context Ask the same question twice and you will get two different answers. AI models sample probabilistically and personalise by conversation history. A single manual check tells you nothing about how your brand actually performs across the long tail of sessions your customers will run. ### We run each query multiple times across five platforms SearchIntel runs every query through ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, and repeats each query enough times to stabilise the variance. The output is a distribution, not a single answer. We report how often your brand is recommended versus mentioned versus absent, and which competitors consistently appear in the top of each response. ### We track the same queries over time Visibility is a moving target. A brand that ranks in 40 percent of responses today may fall to 15 percent next month as AI models retrain, competitors publish, or review sentiment shifts. SearchIntel stores every check and shows you the trend, not just the latest reading. ### We trace the citations When an AI model names a brand, we capture what it cited. A recommendation backed by a Reddit thread behaves differently from one backed by a review site or a publisher article. Understanding the citation pattern is what makes the data actionable. ## Global coverage. Local intelligence. We track visibility across six markets with native-language prompts because AI recommendations differ by region. 🇬🇧 ### UK English 🇺🇸 ### US English 🇩🇪 ### Germany German 🇫🇷 ### France French 🇪🇸 ### Spain Spanish 🇦🇺 ### Australia English AI platforms give different answers in different markets. We track them all. ## What we measure The metrics that matter for AI visibility. ### Brand Visibility Whether your brand appears in AI responses, and how often. ### Competitive Mentions Which competitors are recommended instead of you. ### Citation Sources Where AI platforms get their information from. ### Recommendation Strength Whether you're the top recommendation or a secondary mention. ### Google AIO Frequency How often Google shows AI Overviews for your keywords. ### Trend Over Time How your visibility is changing week to week. ## The three metrics that matter Most AI visibility tools report one number. We report three because they answer different questions. Metric 01 ### Share of Memory The percentage of AI queries in your category where your brand appears at all. This is your floor. If you are not in the memory, you are not in the consideration set. Answers the question: are we even visible? Metric 02 ### Recommendation Rate Of the queries where your brand appears, how often are you actively recommended versus just listed. Being named in a roundup is not the same as being the answer. Pipeline correlates with the second, not the first. Answers the question: are we the choice? Metric 03 ### Entity Authority The signal strength behind the recommendation. AI models weight s [...content truncated for brevity in full dump...] --- ## Services **Source:** https://www.searchintel.tech/services AI Search Intelligence Agency | Services | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Services Technology Travel Partners Automation Research Blog Free AI Check Book a call # How we work From quick assessments to full strategic programs. Find the right way to start. Methodology built on experience with 1 Entry Points 2 Flagship 3 Ongoing 4 Execution 5 Partnerships 6 AI Automation ## Entry Points Start here. Get a baseline, build a business case, or upskill your team. ### SMB Assessment 60-minute diagnostic session with baseline visibility analysis. Who it's for Founders, small teams, consultants exploring AI visibility. What's included Platform analysis (1 market, 100 keywords) 60-min video call Baseline scores across 5 AI platforms Top 3 competitors Prioritised action plan with specific recommendations for your brand Recording and summary Best for: Founders and small teams who want a fast, affordable baseline before committing to a larger engagement. Not for: Enterprise teams needing multi-market analysis or board-level reporting. Delivery: 1 week Book your assessment ### AI Visibility Audit A structured engagement for brands beginning their AI search journey and teams building an internal business case. Who it's for Marketing managers, SEO leads building a business case. What's included Full audit across 5 platforms (1-2 markets) 200+ keywords 5 competitor benchmark Citation source analysis Financial impact estimate 90-day roadmap 60-min presentation Best for: Marketing managers and SEO leads who need data to build an internal business case for AI search investment. Not for: Brands who already know they need execution and want to skip straight to optimisation. Delivery: 2-3 weeks Book an audit ### AI Search Training Workshop Team capability building session (half-day or full-day). Who it's for Agencies, in-house marketing teams, PR teams. What's included Custom examples using attendee brands 3-6 hour workshop AI search landscape overview Hands-on audit demonstration Optimization framework Slides and recording Best for: Agencies and in-house teams who want to understand the AI search landscape and build internal capability fast. Not for: Teams looking for done-for-you execution or ongoing monitoring. Scheduled based on availability Delivered for global agency leadership teams Book a call ### Travel AI Visibility Index Free Quarterly research report on AI visibility in the travel sector. Who it's for Travel industry professionals, journalists, analysts. What's included Top 20 brands by AI recommendation share Destination visibility analysis Platform breakdown Quarter-over-quarter trends Citation source analysis View the report ## Flagship Services Comprehensive strategic engagements for brands ready to invest in AI visibility. ### 45-Day Strategic Diagnostic Comprehensive AI search audit with strategic roadmap and executive narrative. Who it's for Enterprise brands and serious mid-market teams. What's included Stakeholder interviews Comprehensive keyword analysis Multi-market coverage (up to 3) 5-10 competitor benchmark AI visibility audit across all platforms Competitive benchmarking Citation source mapping Financial modeling with scenarios 12-month strategic roadmap Board-ready presentation Best for: Enterprise brands and mid-market teams who need a board-ready narrative and a clear strategic roadmap before committing to execution. Not for: Small teams with limited budget who just need a quick baseline. Start with the SMB Assessment instead. Delivery: 6 weeks Book a call ### Third-Party Citation Strategy Strategic engagement focused on the sources AI actually cites. Who it's for Brands who understand that 85% of AI citations come from third parties. What's included Full citation audit (review sites, publisher coverage, community forums) Competitor citation reverse-engineering Third-party engagement strategy Review generation roadmap Publisher outreach targets Content placement opportunities Playbook and templates Team training Best for: Brands who understand that AI models cite third-party sources (review sites, publisher coverage, community forums) more than brand websites, and want a plan to influence those sources. Not for: Teams who haven't done an initial audit yet. You need baseline data before building a citation strategy. Deli [...content truncated for brevity in full dump...] --- ## Travel & Tourism **Source:** https://www.searchintel.tech/travel AI Search for Travel Brands | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Services Technology Travel Partners Automation Research Blog Free AI Check Book a call # AI Search for Travel When travelers ask AI where to go and what to do, is your brand in the answer? Book a call See the research ## The Challenge ### Destination queries are moving to AI When someone asks "things to do in Barcelona" or "best family resorts in Portugal," AI platforms give direct answers. The brands in those answers win consideration. The rest become invisible. Learn why brands don't show up in AI answers. ### OTAs and aggregators dominate AI platforms heavily cite TripAdvisor, Viator, GetYourGuide, and Booking.com. Direct suppliers, hotel groups, and DMOs often don't appear at all. ### Reviews drive recommendations AI systems pull from review sites, Reddit, and editorial publishers. Your own website content may not be in the citation set. ### Every market is different A query in German returns different recommendations than the same query in English. Most brands only track one market. ## Same question. Different winners. Each AI platform recommends different brands for the same travel query. "Best things to do in Barcelona" Platform Brand recommended Source type Google AI Overview Viator Editorial publisher ChatGPT GetYourGuide Review aggregator Claude TripAdvisor User reviews Gemini Airbnb Experiences Product listings Your brand? Not in the answer. 85% of AI citations are third-party sources 67% of travel queries trigger AI answers 4 platforms with different recommendations 6 markets we track with native-language prompts ## How We Help Travel Brands Visibility intelligence built for how travelers actually search. ### Destination Visibility Tracking Track how your brand appears for "things to do in [destination]" queries across AI platforms. 50+ destinations tracked ### OTA Competitive Analysis See how you compare to Viator, GetYourGuide, TripAdvisor, and direct competitors. Benchmark against top 10 OTAs ### Tour & Experience Optimization Understand which of your products get recommended, which don't, and why. Product-level visibility data ### Multi-Market Monitoring Track visibility in UK, US, Germany, France, and more with native-language prompts. 6 markets, local language ## What We're Seeing in Travel AI Search 1 85% of AI citations come from third parties, not brand websites. In travel, this means TripAdvisor, editorial publishers, and Reddit dominate. 2 "Best [activity] in [destination]" queries almost always return OTA recommendations over direct suppliers. 3 Review volume and recency matter. AI platforms favor sources with fresh, high-volume user content. 4 Google AI Overviews and ChatGPT cite different sources for the same travel query. Optimising for one doesn't guarantee visibility in the other. ## Built by Someone Who Knows Travel SearchIntel is founded by Paul Byrne, who has worked with travel brands including American Express, American Airlines, and Octopus Travel, bringing 20 years of search strategy experience to the sector. ## Travel AI Visibility Research We publish quarterly analysis of AI visibility in the travel sector. The Travel AI Visibility Index tracks which brands are winning recommendations across destinations and experience categories. Travel AI Visibility Index Q1 2026 ### Travel AI Visibility Index Available Sector-level analysis of brand visibility across AI search platforms in the travel and experiences sector. Covers destinations, OTAs, and experience categories. View the report Coming soon: Destination-level deep dives (Barcelona, Lisbon, London) OTA citation source analysis Multi-market visibility comparison (EN vs DE vs FR) ## Find out where travelers are discovering your competitors instead of you. Book a travel-focused demo and see how your brand compares across AI search. Book a call #### Services Get Clarity Get a Plan Get Results Technology Access AI Automation #### Company About Partners Contact Privacy Policy Terms of Service #### Resources Research Blog Free AI Check Sample Output #### Got a question? Drop us a line. Send Thanks! We'll be in touch. © SearchIntel. All rights reserved. --- ## Research **Source:** https://www.searchintel.tech/research AI Search Visibility Research and Benchmarks | SearchIntel "> SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Services Technology Travel Partners Automation Research Blog Free AI Check Book a call # Research Benchmark insights on AI visibility and competitor movement. Available ### Travel AI Visibility Index Sector-level analysis of brand visibility across AI search platforms in the travel and experiences sector. View Research Report Coming Soon ### AI Visibility Benchmarks Cross-industry analysis of brand performance in AI-powered search results. In Development Coming Soon ### E-commerce AI Visibility Report How e-commerce and retail brands appear in AI product recommendations and search. In Development Coming Soon ### Retail AI Discovery Trends Product discovery patterns and brand visibility in retail AI search. In Development ## Apply this analysis to your brand Our 45-day AI Visibility Diagnostic applies the same methodology behind this research to your brand — showing where and why AI systems recommend competitors instead of you, and what to prioritise. Apply this analysis to your brand 45-day diagnostic · Senior-led · Clear remediation roadmap #### Services Get Clarity Get a Plan Get Results Technology Access AI Automation #### Company About Partners Contact Privacy Policy Terms of Service #### Resources Research Blog Free AI Check Sample Output #### Got a question? Drop us a line. Send Thanks! We'll be in touch. © SearchIntel. All rights reserved. --- ## Blog: What is AI Search Visibility? **Source:** https://www.searchintel.tech/blog/what-is-ai-search-visibility What Is AI Search Visibility? Complete Guide 2026 | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog Strategy 15 min read # What Is AI Search Visibility? A Complete Guide (2026 Edition) AI is rewriting the rules of discovery. Learn how to measure and improve your brand's visibility in ChatGPT, Perplexity, Gemini and Google AI Overviews. Paul Byrne January 2026 Last updated: 23 Mar 2026 ## What AI Search Visibility Actually Means AI search visibility measures how often your brand appears when someone asks ChatGPT, Claude, Gemini or Google AI Overviews a question relevant to your business. It's not about rankings or blue links. It's about whether AI mentions you at all. Think of it this way. When a potential customer asks ChatGPT "what's the best project management tool for remote teams?", the AI gives a direct answer. It names specific brands. If yours isn't in that answer, you've lost a potential customer before they ever visited your website or saw your ad. We analysed 5,600 queries across six AI platforms to understand how this works in practice. The findings show that AI search visibility isn't one thing. It's four very different things, depending on which platform your customer is using. ## About Our Research: 5,600 Queries Across Four Platforms Before we dive into the data, some context on how we gathered it. Our research covered 5,600 queries across ChatGPT, Google AI Overviews, Claude and Gemini. We ran the study over a four-week period in late 2025 and early 2026. The queries spanned multiple industries and verticals, including travel and tourism, consumer technology, B2B SaaS, financial services, health and wellness, and ecommerce. We deliberately chose a mix of query types: informational ("what is..."), comparison ("best X vs Y"), recommendation ("what should I use for..."), and transactional ("where to buy..."). This gave us a realistic picture of how AI platforms handle the kinds of questions real customers actually ask. Each query was run multiple times to account for variability in AI responses. The numbers you'll see below represent averages across all runs, not single snapshots. ## How Each Platform Handles Brands: What 5,600 Queries Reveal Each AI platform has its own personality when it comes to mentioning brands. Here's what our research found: Metric Google AIO ChatGPT Claude Gemini Answer length 83 words 422 words 241 words 679 words Brand mention rate 42.5% 74.2% 70.1% 82.5% Brands per response 1.1 2.7 1.9 3.4 Where brands appear 21% in 17.5% in 8.5% in 20.2% in Willingness to recommend 0.2% 8.9% 7.3% 7.3% The range is striking. Gemini mentions brands in 82.5% of responses. Google AI Overviews mentions them in just 42.5%. A brand that looks visible on one platform may be invisible on another. ## How Each AI Platform Actually Works Understanding the numbers is one thing. Understanding why they're so different requires knowing how each platform builds its answers. They don't all work the same way, and that matters for your strategy. ### ChatGPT ChatGPT pulls from three sources: the Bing search index, its own training data, and live web browsing when enabled. This gives it a broad view of the web, which explains its high brand mention rate of 74.2%. It actively searches for current information and combines it with what it already "knows" from training. ChatGPT also has the highest willingness to recommend at 8.9%, making it the most commercially valuable platform for many brands. ### Google AI Overviews Google AI Overviews synthesises answers from the top-ranking pages in Google's own search index. It's essentially a summary layer on top of traditional search results. This is why it gives the shortest answers (83 words) and the lowest brand mention rate (42.5%). It's cautious. It condenses. And it almost never explicitly recommends, with a recommendation rate of just 0.2%. But because it appears directly in Google search results, the sheer volume of exposure makes it impossible to ignore. ### Gemini Gemini uses Google's Knowledge Graph combined with search results. This gives it deep entity understanding, which is why it mentions the most brands per response (3.4) and has the highest overall mention rate (82.5%). It writes the longest answers at 679 words and tends to list multiple alternatives. If you're in a competitive category, Gemini is likely showing your competitors alongside you, or i [...content truncated for brevity in full dump...] --- ## Blog: How to Measure AI Search Visibility **Source:** https://www.searchintel.tech/blog/how-to-measure-ai-search-visibility How to Measure AI Search Visibility | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog Measurement 8 min read # How to Measure AI Search Visibility Track mentions, citations, sentiment and share of voice across AI platforms with this practical framework. Paul Byrne January 2026 Last updated: 23 Mar 2026 ## Why Measurement Is Hard — and Why It Matters There's no "ChatGPT Search Console." No click-through data. No ranking position. AI platforms decide whether to mention your brand at all — and each one makes that decision differently. If you're new to this topic, start with our guide on what AI search visibility is. Our analysis of 5,600 queries across six platforms reveals just how different each platform's behaviour is: What to Measure Google AIO ChatGPT Claude Gemini Brand mention rate 42.5% 74.2% 70.1% 82.5% Recommendation rate 0.2% 8.9% 7.3% 7.3% Citation rate 3.1% 28.6% 8.7% 30.4% Avg brands per response 1.1 2.7 1.9 3.4 A brand mentioned by Gemini in 82.5% of responses might only appear in 42.5% of Google AI Overviews. Measuring one platform gives you a misleading picture. ## The Measurement Framework ### 1. Mention Rate: Are You in the Conversation? The most fundamental metric. What percentage of relevant AI responses include your brand? Our data shows this varies from 42.5% (Google AIO) to 82.5% (Gemini). Track this per platform, not as a blended average. Run a consistent set of queries across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode Record whether your brand appears in each response Note the position: Claude mentions brands earliest (8.5% into the response). Gemini buries them later (20.2% in). Position affects whether users see your brand before they stop reading. ### 2. Recommendation Rate: Does AI Endorse You? Being mentioned isn't the same as being recommended. ChatGPT explicitly recommends brands in 8.9% of responses — 44x more often than Google AI Overviews (0.2%). This distinction matters because a recommendation carries significantly more weight than a passing mention. Track whether AI frames your brand positively, neutrally, or as just one option among many Compare your recommendation rate against competitors for the same queries ### 3. Citation Behaviour: Does AI Credit You? Citation rates vary enormously by platform. Gemini cites sources in 30.4% of responses. Claude does so in just 8.7%. This means the same high-quality content might earn citations on Gemini but go unattributed on Claude. Track which platforms link to your content vs just mention your brand name Monitor citation frequency over time — this is where Share of Memory comes in (see the dedicated section below) ### 4. Intent-Based Behaviour: Context Changes Everything AI platforms don't treat all queries the same. Our research found significant behavioural shifts based on query intent: ChatGPT contracts 33% on booking-intent queries (422 → 284 words) and increases hedging 4x — it actively retreats from the conversion moment Google AIO uses 4.3x more superlatives on comparison queries ("best", "top", "leading") — it leans into verdicts Gemini barely changes regardless of intent (CV 9.8%) — it applies the same thoroughness to every query Measure your visibility by intent type. You might dominate discovery queries but be invisible for booking queries — or vice versa. ### 5. Competitive Benchmarking Run identical queries for your brand and competitors across all six platforms Compare mention rates, recommendation rates and brand density If competitors are cited for topics you want to own, that's your content gap. Read more about why brands don't show up in AI answers. ## Share of Memory: The AI-Era Share of Voice Share of Memory measures how frequently AI platforms include your brand in their responses relative to competitors. It's the AI-era equivalent of share of voice — but instead of counting media mentions, it counts how often AI systems "remember" you when answering questions about your category. The metric matters because AI platforms are increasingly where customers form opinions. When someone asks ChatGPT "what's the best X for Y?", the brands that appear in the answer have share of memory. The ones that don't are invisible. Our data shows share of memory isn't one number — it's four different numbers, depending on which platform you're measuring: Platform Brand Mention Rate Brands per Response Where Brand [...content truncated for brevity in full dump...] --- ## Blog: GEO vs SEO **Source:** https://www.searchintel.tech/blog/geo-vs-seo GEO vs SEO: How AI Search Changes Everything (2026 Data) | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog Strategy 7 min read # GEO vs. SEO: What's Different? Understanding the differences between traditional SEO and Generative Engine Optimisation for AI platforms. Paul Byrne January 2026 Last updated: 23 Mar 2026 ## A Changing Landscape Search is splitting into two channels. Traditional search engines list links. AI platforms deliver direct answers. You need to be visible in both — but the rules for each are fundamentally different. The industry calls AI-side optimisation "GEO" (Generative Engine Optimisation). But the label doesn't matter as much as the data. We analysed 5,600 queries across Google AI Overviews, ChatGPT, Claude and Gemini. The findings show why a single approach to "search optimisation" no longer works. ## SEO: Optimising for Ranking Signals SEO improves a website's position on search engine results pages. It's well-understood: keywords, backlinks, technical health, click-through rate. Google indexes billions of pages and ranks them using known signals. Success is measured by traffic and rankings. ## AI Search Visibility: A Different Game Entirely AI search visibility is about being mentioned and recommended inside AI-generated answers. The challenge? Each platform behaves completely differently: Behaviour Google AIO ChatGPT Claude Gemini Answer length 83 words 422 words 241 words 679 words Brand mention rate 42.5% 74.2% 70.1% 82.5% Cites sources 3.1% 28.6% 8.7% 30.4% Recommends brands 0.2% 8.9% 7.3% 7.3% Tone Encyclopaedic Structured assistant Concise assistant Verbose conversational Google AIO is compressed — 83 words, rarely mentions brands, almost never recommends. Gemini is the opposite — 679 words, mentions brands 82.5% of the time, cites sources in 30.4% of responses. Learn more in our guide on how to measure AI visibility. ## SEO vs AI Search Visibility: Key Differences Aspect SEO AI Search Visibility Target Search engine algorithms 4+ AI platforms, each with different behaviour Goal Rank high on SERPs Be mentioned and recommended in AI answers Content Focus Keywords and backlinks Structured facts, citations, entity authority Success Metric Clicks, rankings, traffic Mention rate, recommendation rate, share of memory Measurement Google Search Console Per-platform monitoring (no single dashboard exists) ## What the Data Shows: Intent Changes Everything AI platforms don't just differ in how they answer — they change behaviour based on what the user is asking: ChatGPT contracts 33% for booking queries — it shortens responses from 422 to 284 words and increases hedging language 4x when users are close to a purchase decision Google AIO uses 4.3x more superlatives on comparison queries — when users ask "best X", AIO delivers verdicts. The LLMs hedge instead. Gemini barely changes regardless of intent — its word count stays within a 9.8% variance, applying the same exhaustive format to every query type This means optimising for "AI search" isn't one strategy. It's a different strategy for each platform and each intent. ## ChatGPT vs Google: A Platform Comparison The two platforms that most people compare — ChatGPT and Google AI Overviews — turn out to be dramatically different in how they handle brands. Understanding these differences is essential for any GEO strategy. Metric ChatGPT Google AI Overviews Average answer length 422 words 83 words Brand mention rate 74.2% 42.5% Willingness to recommend 8.9% 0.2% Cites sources 28.6% 3.1% Opening style Direct fact 77%, "Here are" 19% Direct fact 99.8% (no preamble) ### How ChatGPT Handles Brands It's an assistant that recommends. ChatGPT introduces brands early (17.5% into the response), averages 2.7 brands per answer, and is the most likely platform to say "I'd recommend" or "the best option is." It organises information into scannable sections with heavy formatting — 36 bullet points and 13 headers per response. But it retreats from transactions. When users ask booking-intent questions, ChatGPT shortens its response by 33% (422 to 284 words) and increases hedging language 4x. It recognises transactional intent and actively pulls back. ### How Google AI Overviews Handles Brands It's a compressed encyclopedia. Google AIO averages just 83 words — the shortest answers by 3x. It rarely mentions brands (42.5%), rarely cites sources (3.1 [...content truncated for brevity in full dump...] --- ## Blog: What is GEO? **Source:** https://www.searchintel.tech/blog/what-is-generative-engine-optimisation What Is Generative Engine Optimisation (GEO)? | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog Explainer 6 min read # What Is Generative Engine Optimisation (GEO)? Generative Engine Optimisation is the practice of making your brand visible in AI-generated answers. Here's what it is, why it matters, and how it works in 2026. Paul Byrne February 2026 Most marketers have heard of SEO. GEO is newer. And if you haven't started paying attention to it, your competitors probably have. Generative Engine Optimisation (GEO) is the practice of optimising your content and brand presence so that AI platforms — ChatGPT, Claude, Gemini, Google AI Overviews, Perplexity — mention and recommend your brand when users ask relevant questions. It's not a rebrand of SEO. It's a different discipline, targeting different systems, measured differently. This post explains what it is and what it means for your marketing strategy in 2026. ## Why GEO Exists Traditional search returns links. AI search returns answers. When someone asks ChatGPT "what's the best project management tool for remote teams?" they don't get ten blue links. They get a direct recommendation. One or two brands named. Maybe a short list. Then the conversation moves on. If your brand isn't in that answer, the click never happens. There's no position 7 to optimise your way up from. The channel is invisible to standard analytics. Google Search Console won't show you a thing. That's the gap GEO is designed to close. ## How AI Platforms Decide What to Recommend AI models are trained on large datasets of web content — articles, reviews, forums, directories, publications. They build a picture of the world based on what's been written about it. Brands with strong third-party presence are more likely to be referenced. That means reviews on G2 or Trustpilot, mentions in industry publications, Reddit discussions, directory listings. It's not just about your own website. In fact, your website is often the least influential factor. The key signals AI uses: Third-party mentions — reviews, directories, publications, forums like Reddit Structured data and FAQs on your website — facts AI can extract and cite directly Entity recognition — does the AI "know" your brand as a distinct, credible entity? Consistency of brand description — is your positioning described the same way across multiple sources? A brand can rank number one on Google and score zero across every AI platform. These are different systems making independent judgements. ## GEO vs SEO — The Key Difference The two disciplines share some overlap — quality content and authority matter for both — but the mechanics are different enough that you need to treat them separately. Aspect SEO GEO Target Search engine algorithms AI language models Goal Rank on results pages Be mentioned and recommended in AI answers Content focus Keywords and backlinks Structured facts and entity authority Measurement GSC, rankings, traffic Mention rate, recommendation rate, Share of Memory For a deeper comparison of how the two disciplines relate — and where they overlap — read our guide on GEO vs. SEO: What's Different? ## What GEO Looks Like in Practice GEO isn't abstract. There are three concrete things you can do right now that directly improve AI visibility. 1. Build FAQ content that directly answers the questions your customers ask AI. When someone asks ChatGPT about your category, what questions are they most likely to type? Write pages that answer those questions clearly and specifically. Structured Q&A content is easy for AI to extract and reference. 2. Get listed in third-party sources AI trusts. This means relevant industry directories, review platforms (G2, Trustpilot, Capterra depending on your sector), publication mentions, and credible forum discussions. AI models weight third-party sources heavily. Your own website content matters less than what others say about you. 3. Add structured data to your website. FAQ schema and Organization schema give AI platforms a clean, machine-readable summary of what your brand is and what it does. It's the equivalent of a business card written in a language AI understands. Implementation takes hours, not weeks, and the upside is disproportionate. ## Is GEO the Same as AEO? You'll see both terms in the wild. AEO — Answer Engine Optimisation — is often used interchangeably with GEO. The goal is t [...content truncated for brevity in full dump...] --- ## Blog: What is AEO? **Source:** https://www.searchintel.tech/blog/what-is-aeo-answer-engine-optimisation What Is AEO (Answer Engine Optimisation)? | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog Explainer 5 min read # What Is AEO (Answer Engine Optimisation)? AEO is the discipline of making your brand visible in AI-generated answers. Here's what it means, how it differs from SEO, and what to do first. Paul Byrne February 2026 AEO stands for Answer Engine Optimisation. It's the discipline of making your brand visible in AI-generated answers — the responses produced by ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. Where SEO optimises for search engine rankings, AEO optimises for AI recommendations. ## Why the Term "Answer Engine" Matters The shift from "search engine" to "answer engine" reflects how users are changing their behaviour. They're not searching for links anymore — they're asking questions and expecting direct answers. Google processes over 8 billion queries per day. A growing percentage of those now return an AI-generated answer instead of a list of results. The brand that appears in that answer wins the impression without needing a click. That changes everything about how visibility works. A click-through rate of 0% on an AI answer still delivers brand exposure. But if you're not in the answer, you don't exist in that moment. ## AEO vs GEO — Are They the Same Thing? They're closely related. GEO (Generative Engine Optimisation) is the broader term for optimising across all AI platforms. AEO was originally associated with voice search and featured snippets — getting your content into Google's "answer boxes." Today most practitioners use the terms interchangeably, though some reserve AEO for structured Q&A formats and GEO for the full AI search channel. For practical purposes, the goal is the same: appear in the answer, not just the index. ## How AEO Works AI systems pull recommendations from two main sources: Your own website — FAQs, structured data (schema markup), well-structured content that answers questions directly Third-party sources — review platforms, directories, industry publications, Reddit, social proof Most brands focus only on their own website. That's a mistake. AI models weight third-party corroboration heavily. A brand mentioned positively in 15 independent sources is more likely to be recommended than one with a polished website and no external presence. Your site is your foundation. The web's conversation about you is what AI uses to decide whether you're credible. ## The 4 Core AEO Tactics FAQ content — Write direct Q&A content answering the exact questions your customers ask. Use question-format headings (H2/H3). Each question is a potential AI citation. Schema markup — Add FAQPage, Organization, and HowTo schema. This helps AI extract structured facts directly from your HTML, without guessing. Third-party presence — Get listed on review platforms relevant to your sector (G2, Trustpilot, Clutch, TripAdvisor, etc). Each listing is a citation signal. Entity building — Consistent brand description across all sources (same name, description, location, product focus). AI models build entity graphs. Contradictory information weakens your position. ## How to Measure AEO Performance You can't track AEO in Google Search Console or standard analytics. The only way to measure it is to run test queries across each AI platform and count brand appearances. Key metrics to track: Share of Memory — the percentage of relevant queries where your brand appears Recommendation Rate — where you're specifically recommended, not just mentioned Platform Breakdown — visibility varies dramatically by platform. A brand appearing in 70% of ChatGPT responses may appear in 10% of Google AI Overviews This is why standard analytics won't tell you the full story. You need to query each platform directly and track the results over time. ## Where to Start If you've never checked your AI visibility before, start there. Run 10-20 queries in ChatGPT and Gemini that your customers would ask, and see whether your brand appears. That baseline tells you everything about the opportunity in front of you. You might find you appear in 60% of relevant queries on one platform and 0% on another. That gap is the work. From there, the priority order is usually: fix your FAQ content, add schema, then build external presence. Not sure where your brand stands? Check your brand's AI visibility for free. ## Need Help [...content truncated for brevity in full dump...] --- ## Blog: Why Brands Don't Show in AI Answers **Source:** https://www.searchintel.tech/blog/why-brands-dont-show-up-in-ai-answers Why Your Brand Doesn't Show Up in AI Answers (7 Fixes) | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog AI Visibility 7 min read # Why Your Brand Doesn't Show Up in AI-Generated Answers (And How to Fix It) People are asking AI instead of searching Google. If ChatGPT, Gemini, Claude and Google AI Overviews don't mention your brand, you're invisible to a growing share of your market. Paul Byrne February 2026 Last updated: 23 Mar 2026 Quick answer: Brands don't show up in ChatGPT, Gemini, Claude or Google AI Overviews because AI relies on third-party sources — not your website. Our analysis of 5,600 queries found that 91% of AI citations come from reviews, Reddit, publications and directories. To appear, you need entity consistency, structured data, and a strong third-party citation footprint. ## The Shift You Can't Ignore Your customers have changed how they find things. Instead of typing keywords into Google and scanning ten blue links, they're asking ChatGPT, Gemini, Claude and Google AI Overviews for direct answers. "What's the best CRM for small businesses?" "Which tour operator should I use for Iceland?" "What accounting software handles multi-currency?" AI gives them one answer. Not a page of results. One synthesised recommendation. 68% of Google searches now end without a click. ChatGPT has over 800 million weekly users. Google AI Overviews appear on the majority of search results. If your brand is not in those AI-generated answers, a growing share of your market will never know you exist. So why is your company not ranking in AI-generated answers? Why is your brand missing from AI-generated summaries? There are seven reasons brands don't show up in AI answers — covering everything from how each platform works technically to the signals you're probably missing. Each one has a fix. ## 1. AI Doesn't Learn From Your Website Directly This is the biggest misconception. Most brands assume that because their website ranks well on Google, AI must know about them. That's not how it works. AI models like ChatGPT, Claude and Gemini build their understanding of brands from across the web. They pull from third-party sources: review sites, Reddit discussions, news articles, industry publications, directories, and expert content. Your website is one input among thousands. Think of it this way. If the only place that talks about your brand is your own website, AI has a single source. One source is not enough to build confidence. AI needs corroboration. It needs multiple independent sources saying the same thing before it will recommend you. Our research across 5,600 queries found that brands with strong third-party mention footprints consistently outperform those relying on their own domain alone. The brands AI recommends are the ones the rest of the internet talks about. Each platform handles this differently. ChatGPT's base knowledge comes from training data — a snapshot of the internet gathered up to its knowledge cutoff. When ChatGPT Plus users enable web browsing, a real-time Bing search layer is added, and in that mode it shows 87% citation correlation with Bing's top 10 results. But even then, an analysis of over 23,000 AI citations found that 91% came from third-party sources, not brand websites. Reddit alone accounts for approximately 40% of AI citations across major platforms. Google AI Overviews work differently again. They pull from Google's own search index, but they're far more selective — appearing on 15-20% of searches, averaging just 83 words, and mentioning brands in only 42.5% of responses. When an AI Overview answers the question directly, 65% of users never click an organic result below it. If you're not in the overview, you're not in the consideration set regardless of where you rank. ## 2. Your Website Is Built for Google, Not for AI Traditional SEO optimises for Google's crawler. Title tags, meta descriptions, header hierarchy, page speed, backlinks. These signals help you rank in search results. They do very little for AI visibility. AI models don't care about your meta description. They care about understanding what your brand is, what it does, and why it's relevant to a specific question. That requires different signals: Structured data tells AI models exactly what your entity is and what you offer. The most important types are Organization schema (your brand name, URL, industry), FAQPage schema (maps [...content truncated for brevity in full dump...] --- ## Blog: Share of Memory **Source:** https://www.searchintel.tech/blog/share-of-memory Share of Memory: Brand Impact in AI Search | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog Measurement 7 min read # Share of Memory: Measuring Brand Impact in AI Search A new metric for the AI era - how to measure whether your brand occupies space in LLM memory. Paul Byrne January 2026 Last updated: 9 Feb 2026 ## What Is Share of Memory? Share of Memory measures how frequently AI platforms include your brand in their responses relative to competitors. It's the AI-era equivalent of share of voice — but instead of counting media mentions, it counts how often AI systems "remember" you when answering questions about your category. The metric matters because AI platforms are increasingly where customers form opinions. When someone asks ChatGPT "what's the best X for Y?", the brands that appear in the answer have share of memory. The ones that don't are invisible. ## What 5,600 Queries Reveal About Share of Memory We analysed 5,600 queries across six AI platforms to understand how brand "memory" actually works. The findings show that share of memory isn't one number — it's four different numbers, depending on which platform you're measuring. Platform Brand Mention Rate Brands per Response Where Brands Appear Gemini 82.5% 3.4 20.2% into response ChatGPT 74.2% 2.7 17.5% into response Claude 70.1% 1.9 8.5% into response Google AIO 42.5% 1.1 21% into response Gemini "remembers" brands most generously — 82.5% of its responses include at least one brand, with an average of 3.4 per answer. Google AI Overviews is the most selective, mentioning brands in less than half of responses. ## Why Share of Memory Isn't the Same Across Platforms Claude front-loads brands. When Claude mentions your brand, it does so in the first 8.5% of the response — the earliest of any platform. But it's restrained: only 1.9 brands per response. Claude treats brand mention as a direct answer, not a catalogue of options. Gemini buries brands in volume. Gemini mentions the most brands (3.4 per response) but introduces them later (20.2% in). It writes 679-word answers and lists alternatives comprehensively. Being mentioned by Gemini carries less weight per mention because there's more competition within each response. ChatGPT is the most likely to recommend. While mention rates tell you if AI "remembers" your brand, recommendation rates tell you if it endorses you. ChatGPT explicitly recommends brands in 8.9% of responses — 44x more than Google AIO at 0.2%. The same visibility percentage means different things. A brand appearing in 70% of Claude responses (where it's one of 1.9 brands, mentioned first) has very different share of memory than the same brand appearing in 70% of Gemini responses (where it's one of 3.4 brands, mentioned later). For common reasons brands get excluded, see why brands don't show up in AI answers. ## How to Measure Share of Memory Track per platform, not blended. A blended average of 67% visibility could mean 82.5% on Gemini and 42.5% on Google AIO. Those are two very different situations requiring different actions. Measure by query intent. Our data shows ChatGPT contracts 33% for booking-intent queries and increases hedging 4x. Google AIO uses 4.3x more superlatives on comparison queries. Your share of memory changes based on what customers are asking. Compare against competitors on the same queries. Run identical prompts for your brand and competitors across all platforms. Understand the full measurement framework. Monitor trends over time. AI models retrain regularly. A brand with high share of memory today may lose it if competitors build stronger authority signals or if models re-weight their sources. ## How to Increase Share of Memory Understand each platform's citation behaviour. Gemini cites sources in 30.4% of responses. Claude cites in just 8.7%. Build content optimised for the platforms where citation earns the most visibility. Our AI Overviews guide covers platform-specific approaches. Build entity authority. Structured data (Organization, Product, FAQ schema) gives AI models clear signals about your brand. This is a "memory hook" that helps AI recall your entity. Earn third-party mentions. AI models weight authoritative sources. Citations from industry publications, review platforms, and forums increase the likelihood of being "remembered" in responses. Match content to intent. Discovery-intent content should [...content truncated for brevity in full dump...] --- ## Blog: How to Get Recommended by ChatGPT **Source:** https://www.searchintel.tech/blog/how-to-get-recommended-by-chatgpt How to Get Recommended by ChatGPT: What Works | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog How-To 8 min read # How to Get Recommended by ChatGPT: What Actually Works ChatGPT has 900 million weekly active users. When they ask it which brand to use, who shows up matters. Here's what drives ChatGPT recommendations. And how to be in the answer. Paul Byrne February 2026 ChatGPT is now used as a buying decision tool by hundreds of millions of people. "Best CRM for a small team", "which travel insurance is worth it", "what accounting software do most freelancers use" — these are the kinds of questions being asked every day, and ChatGPT answers them with brand names. The brands that get named aren't necessarily the ones with the best websites. They're the ones that the internet collectively talks about most — and most positively. Understanding that distinction is the starting point for getting recommended. ChatGPT has 900 million weekly active users (Backlinko, Jan 2026). When browsing is enabled, its citations show 87% correlation with Bing's top 10 results. 91% of AI-generated answers cite third-party sources, not brand websites. ## How ChatGPT Actually Picks Brands to Recommend ChatGPT draws on two distinct sources depending on how it's used: Training data: Everything ChatGPT learned before its knowledge cutoff. This includes your website content, but also every forum discussion, review, news article, Reddit thread, comparison blog, and industry publication that ever mentioned your brand. The brand that is discussed widely, positively, and accurately across these sources builds a strong training-data profile. Real-time web search via Bing: When web browsing is enabled (the default for ChatGPT Plus and in most usage contexts), ChatGPT searches Bing for current information. It shows strong correlation with Bing's top 10 results — so your Bing/Google search rankings matter for real-time queries. An analysis of 23,000+ AI citations by Omniscient Digital found the strongest predictors of ChatGPT mentions were: Brand search volume (0.334 correlation): How often people search for your brand by name. This signals to AI that the brand is well-known and trusted. Multi-platform presence — Brands appearing across 4+ channels (website, review sites, news, social, directories) are significantly more likely to be cited. Third-party mentions — Reddit, Trustpilot, G2, press coverage and industry comparisons carry disproportionate weight. Schema markup — Pages with structured data are 3x more likely to earn citations. ## The Third-Party Source Problem Most Brands Miss Most brands optimise their own website for search. Few systematically build their third-party presence for AI. This is the gap. According to LinkSurge's 2026 analysis, 91% of AI-generated answers cite third-party sources. Your own website accounts for just 9% of brand mentions in AI responses. Reddit alone accounts for 40% of AI citations. When someone asks ChatGPT "what's the best CRM for startups?" and a Reddit thread from r/startups comes up where 12 people recommended Pipedrive — ChatGPT learns that Pipedrive is trusted by startup founders. Your brand FAQ page doesn't compete with that signal. The implication: to get recommended by ChatGPT, you need to be talked about by real people in real places — review sites, forums, industry publications, comparison articles, expert roundups. ## Six Things That Drive ChatGPT Recommendations ### 1. Reddit presence in the right communities ChatGPT cites Reddit more than any other source type. Be present — genuinely helpfully, not promotionally — in the subreddits where your category is discussed. Answer questions, share data, be the expert who shows up when someone asks about your space. Over time, your name appears in threads. Those threads feed ChatGPT's understanding of which brands people trust. ### 2. Review site coverage Trustpilot, G2, Capterra, Google Reviews, Clutch — ChatGPT references these when forming opinions about brands. More reviews, higher ratings, and specific feature-level reviews all help. Actively encourage reviews from existing customers. Respond to negative reviews publicly (ChatGPT sees your responses too). ### 3. Media mentions and press coverage A single article in a relevant publication — whether it's a trade magazine, a national newspaper, or a respected industry blog — carries significant weight [...content truncated for brevity in full dump...] --- ## Blog: AI Search for Enterprise Brands **Source:** https://www.searchintel.tech/blog/ai-search-for-enterprise-brands AI Search for Enterprise Brands: What to Do | SearchIntel SearchIntel Services Technology Travel Partners Automation Research Blog Free AI Check Book a call Back to Blog Enterprise 9 min read # AI Search for Enterprise Brands: What's Different and What to Do Enterprise brands face an AI visibility challenge that's categorically different from small businesses. More markets, more brand complexity, more risk — and the same basic tools won't cut it. Paul Byrne February 2026 Quick answer: Enterprise brands face unique AI visibility challenges across ChatGPT, Gemini, Claude, Google AI Overviews and Perplexity. Complex brand architectures, multi-market entity inconsistency, and siloed agencies produce contradictory signals that AI cannot resolve. Most enterprise brands score 15-40% on AI category queries. Fixing entity consistency, building third-party citations, and aligning agencies around AI visibility KPIs are the priorities. When a small business asks "why aren't we showing up in ChatGPT?" it's a straightforward visibility problem. When an enterprise brand asks the same question, the answers are rarely simple. You might have 12 sub-brands. 40 markets. Four agencies managing different parts of the digital footprint. A brand that means something completely different in Germany than it does in the UK. AI doesn't handle that complexity automatically — and most AI visibility strategies aren't built for it. Here's what's actually different about AI search for enterprise brands, and what a real strategy looks like at scale. ## The Enterprise AI Visibility Problem Most brands are losing AI visibility without realising it. The mechanism isn't dramatic — it's quiet erosion. Customers ask ChatGPT which supplier to use. Gemini gets asked which brand is best for a specific use case. AI Overviews answer product comparison queries before anyone clicks through. And the brand that doesn't appear in those answers loses the consideration before the search even begins. Brands cited inside Google AI Overviews earn 35% more organic clicks than those ranked below them. Being in the AI answer is now more valuable than ranking beneath it. For enterprise brands, the scale of this exposure is enormous. A consumer goods brand might have 2,000 relevant AI queries per day across five markets. A financial services firm might have category queries running across 30 languages. The gap between "we appear occasionally" and "we appear consistently" translates directly into influenced revenue at a scale that smaller brands don't face. McKinsey research highlights that enterprise employees already spend significant time searching for information — AI is rapidly becoming the default interface for that behaviour. ## Why Enterprise Is Harder Four things make enterprise AI visibility uniquely complex. ### 1. Brand architecture AI can't map AI models build their understanding of a brand from every signal they can find: website, press coverage, review sites, social media, LinkedIn, Wikipedia, Crunchbase, industry databases. When a parent brand has 15 sub-brands each with their own digital presence — some consistent with the parent, some contradictory — AI resolves the ambiguity by either ignoring the brand entirely or representing it inaccurately. If your brand architecture looks clean internally but reads as fragmented to AI crawlers, you'll pay for it in citation rate. ### 2. Multi-market entity inconsistency AI treats "Acme UK" and "Acme Germany" as potentially different entities unless the signals tell it otherwise. If your German website has different product descriptions, your French press office has given different positioning quotes, and your US LinkedIn page has a different founding date — AI models either hedge ("Acme, which operates in several European markets...") or simply don't mention you. Entity consistency across markets — same brand description, same founding story, same key claims, same structured data — is a prerequisite for reliable multi-market AI visibility. ### 3. Agency silos producing contradictory signals Most enterprise brands run their SEO agency, PR agency, content agency and paid media agency in separate workstreams. None of them are optimising for AI visibility. Worse, they're each producing content that may contradict each other — different descriptions of what the brand does, different claims about market position, different ways of describing the same product. AI synthesises all of this. If the synthe [...content truncated for brevity in full dump...] ---