Publishing standards

Methodology

How SearchIntel measures AI search visibility, what we cite as evidence, and how we handle corrections. Updated as our methodology evolves; significant changes are version-stamped at the bottom of this page.

Platforms we track

SearchIntel monitors brand visibility across six AI search surfaces:

Each platform draws from different sources, applies different ranking, and produces different answers for the same query. We measure all six because optimising for one does not transfer to the others. Industry estimates put citation overlap between Google AI Overviews and Google AI Mode at roughly 14 percent, so they have to be tracked separately.

How we run a visibility scan

For every query in a client's prompt set, we send the query to each of the six platforms through their official APIs or vendor-backed scraping (SerpAPI for AI Overviews and AI Mode). For the four conversational platforms (ChatGPT, Claude, Gemini, Perplexity) we run multiple repetitions per query because LLM outputs are probabilistic. AI Overviews and AI Mode are queried once per run because their output is deterministic for a given query and region.

For each platform response we capture:

Source hierarchy

When we cite external evidence in reports or content, we apply a source hierarchy:

  1. Primary data we collected ourselves from the SearchIntel scan engine, with the date and scan ID recorded.
  2. Official platform documentation (OpenAI announcements, Google blog posts, Anthropic system cards) when describing platform behaviour.
  3. Named industry research with the underlying study or dataset linked (Profound, Peec, BrightEdge, SimilarWeb, SEO Clarity, when the methodology is public).
  4. Trade press only as a secondary signal pointing at a primary source we then verify.

We avoid citing aggregator pages that compile stats without linking to the underlying studies. If a statistic appears repeatedly across the web but the original source cannot be found, we mark it as unverified and look for a primary-source equivalent.

Confidence labels

Client-facing findings carry a confidence label:

We do not present directional findings or observations with the language of certainty. If we are still gathering data on a question, we say so.

Corrections

When we publish something that turns out to be wrong, we correct it visibly:

If you find a mistake in anything we publish, please tell us at paul@searchintel.tech. Corrections we accept are shipped within five working days.

What we don't claim

SearchIntel is a measurement and advisory agency, not a platform. We do not control how AI systems generate their answers. Our role is to measure what they say, identify the patterns, and recommend changes that have a reasonable chance of moving the result over time.

We do not guarantee specific score improvements within specific timeframes. AI search visibility depends on factors outside our control: model updates, training data changes, third-party citations we don't manage, and the competitive content moves of other brands in the same category.

SearchIntel is published by SearchIntel Ltd, registered in England and Wales. Editorial contact: paul@searchintel.tech. See also Editorial Policy and Ethics.

Methodology v1.0 — Published 20 May 2026 (added Google AI Mode as sixth platform following Google I/O 1B MAU announcement).