New research: The 2026 AI Visibility Report

Insights · AI visibility · from our 2026 research

Why your business doesn’t show up when people ask ChatGPT.

Five reasons AI assistants leave a business out of their answers, and what fixed each one, from a test of 108 real businesses.

When someone asks ChatGPT, Claude, Gemini or Perplexity “who’s the best [your trade] in [your town]?”, the assistant doesn’t search your website. It searches the web the way a researcher would, picks a handful of sources it trusts, and names the businesses those sources name. In our 2026 AI Visibility Report we put 422 buyer questions to four engines for 108 businesses. 41 of them were never cited once. Here is why, in the order we saw it most.

The five reasons, and the fix for each.

What we found

1. The engine can’t read your site at all

A robots.txt that blocks GPTBot, ClaudeBot or PerplexityBot, a noindex tag left over from a redesign, or text that only appears after JavaScript runs. It happens to good businesses more than you’d think: our own site shipped a launch with a noindex tag on every page and nobody noticed for two weeks. Fix: run the free check; it reads your site the way a crawler does and tells you in ten seconds.

2. You’re not on the pages the engine reads

For local questions, engines lean on directories and round-ups: “10 best X in South Carolina” lists, Yelp, LinkedIn, Reddit threads. In our tests LinkedIn, Yelp and Reddit were among the ten most-cited sources. If those pages don’t mention you, the engine has no way to. Fix: find the three sources the engines actually cite for your question (we show you in the full check) and get listed, reviewed or mentioned there.

3. Nothing on your site answers the buyer’s question

Engines cite pages that answer the question asked. “Who can build an AI agent for emailed orders?” gets answered by a page about AI agents for emailed orders, not by a homepage that says “innovative solutions.” Most sites have a services page; few have a page per question. Fix: write down the five questions a buyer asks before they call you, and give each one a page that opens with a two-sentence answer.

4. There’s no sign a real person stands behind it

No author, no date, no credentials, no named clients. Engines (and Google’s own guidance) favour first-hand experience: a named person, specific numbers, original data, real case studies. Commodity copy gets skipped. Fix: put a visible byline and an updated date on every guide and case study, and quote a real result with a number in it.

5. The engine doesn’t know what you are

Your name is one thing on your site, another on Google, a third on LinkedIn; the address differs; there’s no structured data saying “this is a business, here, doing this.” Engines match entities, and an entity that doesn’t resolve cleanly is easy to leave out. Fix: one consistent name, address and phone everywhere, Organization and LocalBusiness markup on the site, and a current Google Business Profile.

What to measure instead of rankings.

The reporting shift

How do I know if it’s working?

Pick ten questions your buyers actually ask. Once a month, put them to ChatGPT, Claude, Gemini and Perplexity and count three things: how often you’re cited as a source, how often you’re named, and how often you’re recommended. That’s the number. Rankings and sessions tell you about Google in 2019; this tells you about the assistant your next customer is talking to.

Can I do this myself?

Most of it, yes: the robots check, the bylines, the question pages. The part that’s hard alone is knowing which sources each engine trusts for your questions, because it changes by engine and by intent. The full check runs the questions for you and shows who got cited instead.

Is AI recommending you yet? Let’s find out.

The free instant check reads your website the way an AI crawler does in about ten seconds. The full check puts your buyers’ questions to four engines and shows who they name.