Your next customer just asked an AI about you. What did it say?
Buyers moved from searching to asking. ChatGPT, Perplexity, and Google AI Overviews now answer the questions your pipeline used to start with - naming brands, citing sources, and skipping everyone who is not in the answer.
We are not an SEO agency. We are measurement engineers: we tell you exactly where you stand in AI answers, wire AI traffic and its revenue impact into your analytics, install and verify AI-platform tracking the way we handle any vendor tag, and build the technical layer underneath - crawler policy, llms.txt, AI-ready data. Your team or your agency writes; our instruments prove what moved.
What we do
AI visibility audit
Where you stand in AI answers: mention rates, competitor citations, crawler reality, gap plan. The standing entry point.
The audit →AI visibility engineering
The technical layer: crawler policy, llms.txt, citable structure specs, question-space maps - engineering, not copywriting.
The service →AI traffic measurement
The board-level question - how much of our traffic is AI - answered with referrers, logs, and honest limits.
The measurement →Find out what the engines say before your prospects do.
The audit produces the baseline almost no brand has: your mention rate, your competitors’ citations, and what AI crawlers fetch from your site.
We run this discipline on ourselves
Every GEO recommendation on this site is downstream of our own instruments - not a trend deck.
Continuous AI answer tracking - a dedicated monitoring account logging thousands of AI responses across our own competitive topics, daily.
Crawler-log analysis in production - our own tooling watching which AI bots fetch which pages across the Webclat estate.
The estate as testbed - llms.txt, answer-format pages, and per-question coverage shipped across every property we run; in our own tracked sample, guide-format answers drew the majority of AI citations. Our sample, our topics - evidence, not universal law.
Engine by engine
One set of fundamentals, five tuning passes. Each engine retrieves and cites differently - and your gaps will not be uniform.
ChatGPT
The reference engine for buyers - knowledge plus live-search citations.
The mechanics →Google AI Overviews
Where SEO strength converts into citation share.
The overlap →Perplexity
The lowest-competition, fastest-feedback citation win on the board.
The cheap win →Claude
Professional audience, zero keyword market - the GEO-only posture.
The posture →Copilot
Enterprise blind spot; Bing hygiene covers most of it.
The checklist →The full map
How each engine picks sources, and where to invest first.
All engines →Enterprise analytics should include the AI channel by now.
AI referral segmentation, crawler analytics, and outcome joins - wired into the measurement stack you already run.
Field guides
GEO vs SEO vs AEO
What actually changed in search - and what carried over.
Read →Why AI doesn’t mention your brand
The five causes, diagnosable and fixable, in order.
Read →AI crawlers
GPTBot, PerplexityBot, ClaudeBot: allow, block, or shape - deliberately.
Read →llms.txt
What it is, what it is not yet, and how to ship one correctly.
Read →AI-ready data
What the phrase actually means - and why tracking architecture decides it.
Read →AI traffic measurement
Referrers, crawler logs, dark-traffic inference - the honest layer.
Read →Frequently asked questions
Do you do AI SEO / GEO services?
No. We are not an SEO or content agency and we do not sell search engine optimization for AI. We measure AI visibility (answer tracking, crawler logs, AI traffic and impact analytics), engineer the technical readiness layer, and hand your team or agency the question-space map and the evidence. For the landscape itself, see the GEO vs SEO guide.
How do I know if AI engines mention my brand?
It is directly measurable: systematic answer tracking across engines on your question set, plus AI crawler activity in your server logs. That baseline is the first output of our AI visibility audit.
Can AI visibility be guaranteed?
No - nobody controls a generative engine's output. What can be guaranteed is the controllable layer: crawl access, question coverage, citable structure, and honest measurement of the movement.
How much of my traffic comes from ChatGPT?
Partially measurable today: AI referral segmentation gives a floor, crawler logs show retrieval demand, and dark-traffic inference - labeled as inference - fills the picture. We wire all three into one reporting layer.
Why does this practice claim credibility in AI visibility?
Because we run the discipline on ourselves with real instruments: a continuous AI answer-tracking account on our own topics, our own crawler-log analysis tooling in production, and llms.txt plus answer-format content shipped across our entire estate.
Get your baseline in AI answers - measured, not guessed.
The AI visibility audit is fixed-scope and evidence-first: mention rates across engines, competitor citations, crawler reality from your own logs, and the prioritized gap plan. It is the first number most brands have ever seen about themselves in AI.