Brainpan.AI measures how AI assistants describe brands — which companies ChatGPT, Gemini, Perplexity, Copilot and Claude name when someone asks for a recommendation, and which they leave out. Each study is published with its methodology, and the Q2 2026 Insurance top-10 per-brand data is published as open JSON, so any figure quoted here can be checked rather than taken on trust.
1. Media contact
Press enquiries are answered directly by the founder, not through an agency. Interview, data and fact-check requests are usually answered same day.
Kevin Walsh — Founder
Email: kwalsh@brainpan.ai
Telephone: +1-703-951-7195
For a correction request against a published figure, use the formal route in the AIVI™ methodology and correction policy rather than this address — it is logged and answered on the record.
2. Boilerplate
Written to be pasted without rewriting. Both versions are accurate as they stand; please do not combine them with claims from elsewhere on this site without checking.
Short (25 words)
Brainpan.AI measures how AI assistants describe and cite brands. It publishes the AIVI™ benchmark, a versioned, reproducible study of brand visibility inside AI-generated answers.
Long (74 words)
Brainpan.AI is an AI visibility consultancy that measures how generative AI systems describe, cite and recommend brands. Its AIVI™ benchmark studies brand representation across ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI Overviews, with the surface set stated per study, using a declared prompt set and a published methodology, so results can be reproduced independently. The firm publishes its top-10 data and methodology in full, and operates a formal correction policy for challenged figures.
3. The research, and how to check it
Brainpan.AI has published two benchmark editions: the AIVI™ Q2 2026 Insurance Benchmark (134 brands, five AI engines, 1,742 organic citations recorded) and the Q3 2026 Medicare AIVI™ Benchmark (121 tracked brands, seven AI surfaces, 59,055 scored mentions). The Insurance study's five-engine comparison found organic mention volume varying by up to 1.8x between engines, which is why AIVI reports its components alongside the composite.
Download and verify
Q2 2026 Insurance summary report (PDF)
Top-10 results (JSON)
OpenAPI specification for the dataset
Insurance methodology and correction policy v1.0
Q3 2026 Medicare summary report (PDF)
Medicare methodology and correction policy v1.0
Per-brand JSON endpoints are published for the ten brands in the Q2 2026 Insurance leaderboard, linked from the benchmark page itself. A data desk can pull the figures directly rather than transcribing them.
4. What the data does not show
Stated here so it does not have to be discovered late in an edit.
It is not a quality ranking. Being mentioned more often by an AI assistant is not evidence that a brand is better, and we do not claim it is. Mention volume and recommendation are tracked separately because they diverge.
It is a snapshot, not a trend. Figures describe a defined measurement period against a defined prompt set. AI systems change between versions, and results move with them.
Retrieval mechanics are not documented by the vendors. We measure outputs. We do not claim to know how any specific product retrieves internally, and we are sceptical of anyone who does.
Comparisons hold only within a platform and mode. Not every AI surface exposes citations, so citation rates are comparable within a platform, not across them.
5. Reproducing figures and charts
Published research data may be quoted and reproduced with attribution to Brainpan.AI and a link to the source page. The full terms, including what may be redistributed, are set out in the research-data licensing section of our legal page.
If you need a figure in a specific format — a clean CSV of a table, a chart at print resolution, or a cut of the data we have not published — ask. We would rather supply it than have it retyped.
6. Spokesperson
Kevin Walsh is the founder of Brainpan.AI and the author of the AIVI™ methodology. He is available to comment on AI search measurement, generative engine optimisation, brand representation in AI-generated answers, and the limits of current AI visibility tooling.
A logo suitable for publication is available at brainpan-logo-transparent.webp.