ChatGPT, Gemini, Perplexity and Google's AI Overviews now answer millions of buying questions before a single blue link is clicked. RANK's AI Brand Visibility Audit tells you, in hard numbers, whether your brand is one of the answers — or missing entirely.
When someone asks an AI assistant "which agency should I use for X", the model doesn't show ten results and let the user choose. It picks two or three brands, states them as fact, and moves on. If your brand isn't one of them, you don't get a low ranking — you get erased from the decision entirely.
A growing share of research, product and vendor queries now end inside an AI-generated summary, with no click to any website at all. Visibility inside that summary has become the new page one.
Illustrative pattern based on aggregated industry click-through research, 2024–2026
Every audit walks the same rigorous checklist so results are consistent, comparable over time, and easy for your team to action.
We run 100+ real buyer prompts through ChatGPT, Gemini, AI Overviews, Perplexity and Copilot to log exactly when, and how, your brand is mentioned.
The same prompts are scored against your top 3–5 competitors, so you know exactly who is winning the citation and by how much.
We audit Organization, Service, FAQ, Review and Article schema — the machine-readable signals AI crawlers rely on to understand entities.
We verify GPTBot, ClaudeBot, PerplexityBot and Google-Extended access, robots.txt rules, rendering and crawl budget health.
Author credentials, reviewer bylines, citations, first-hand experience markers and trust signals are scored page by page.
We check whether your content is written in extractable, self-contained answer blocks — the format AEO and GEO both reward.
A real sequence, run in order, so every recommendation is backed by evidence gathered in the step before it.
We build a representative set of buyer prompts across awareness, comparison and decision stages, based on your real sales conversations and keyword data.
Day 1–2Every prompt is run against ChatGPT, Gemini, AI Overviews, Perplexity and Copilot, and each response is logged for brand mentions, sentiment and source links.
Day 2–4We crawl your site the way AI bots do — checking crawl access, rendering, structured data and entity clarity against what top-cited competitors have in place.
Day 4–6We map where your content lacks the experience, expertise, authority or trust signals that generative engines weight when choosing a source to cite.
Day 6–8You receive your AI Visibility Score, a competitor benchmark, and a ranked action plan ordered by expected citation impact and effort.
Day 8–10A B2B services client came to RANK ranking on page one of classic Google search, yet appearing in zero AI-generated answers for the exact questions their sales team heard every week. Our audit found the root causes: no Organization or Service schema, author-less blog content with no reviewer byline, and a robots.txt rule accidentally blocking AI crawlers from key service pages. We closed each gap in priority order — schema first, crawlability second, then a rewrite of core pages into clearly attributed, answer-ready sections with named reviewers. Within one quarter, the brand moved from being invisible to being named as a recommended option in the majority of tested prompts.
Share of tested prompts in which the brand was cited, tracked monthly
Figures represent a composite, representative outcome pattern drawn from multiple engagements, shared to illustrate methodology and typical trajectory. Individual results vary by industry, competition and starting technical baseline.
Generative engines don't "rank" pages the way classic search does. Most work in a four-stage pipeline: they crawl the open web (often through bots like GPTBot or ClaudeBot), index content into a retrievable knowledge base, retrieve the handful of passages most relevant to a given prompt, and then cite a small number of them inside a generated answer.
A page can rank well in classic SEO and still be invisible at the retrieval or citation stage — usually because it's blocked from AI crawlers, lacks structured data that clarifies what entity the page is about, or reads as generic marketing copy instead of a clearly attributed, evidence-backed answer.
This is the theory behind AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization): the goal shifts from "rank higher" to "become retrievable and quotable," with E-E-A-T signals acting as the trust filter that decides which retrievable sources actually get cited.
First-hand signals — original data, screenshots, case results — that show the content comes from someone who has actually done the thing.
Clear author identity, credentials and depth of subject coverage that signal genuine domain knowledge, not generic filler.
External recognition — citations, mentions and links from other trusted sources — that confirms the brand is a known voice in its category.
Accurate, up-to-date, verifiable information with transparent sourcing — the single strongest predictor of whether a model will safely quote you.
Straight answers, matching what's marked up in our structured data for AI assistants and search engines.
Get your AI Visibility Score, a competitor benchmark, and a prioritized action plan in 7–10 business days.