Why doesn't ChatGPT mention my company?

ChatGPT does not mention a company when public pages lack the extractable signals it retrieves: clear category language naming the buyer and use case, structured FAQ schema, a comparison page, and outside corroboration. WhoCites shows which of those signals are missing for a specific domain.

Does adding schema markup fix invisibility?

Schema markup helps AI engines parse a page, but it does not invent authority. The full fix usually combines extractable copy, schema, comparison pages, and outside mentions that confirm what the brand does.

How long until AI starts mentioning my company after fixes?

Browsing-grounded engines (ChatGPT with web, Perplexity, Google AI Overviews) can change within days once pages are crawled. Static-training engines reflect changes only at the next training cut, so improvements depend on the engine.

Can I check before paying?

WhoCites runs a free public surface check covering llms.txt, robots.txt, sitemap, JSON-LD, metadata, and canonical URL before any paid scan. Paid scans run the live AI queries.

WhoCites

Why Is My Company Never Mentioned by AI?

Q: Is my company invisible to all AI engines or just some?

It varies by engine. WhoCites runs the same buying-intent prompts across ChatGPT, Claude, Gemini, Grok, Copilot, Perplexity, and Google AI Overviews, then reports per-engine coverage so the gap is engine-specific.

Your company usually is not mentioned by AI because public pages do not give engines enough reliable evidence to retrieve, quote, and recommend the brand. WhoCites measures the gap across 7 sources and turns it into a fix list.

Last updated 2026-05-21

Run an AI visibility scan

Diagnostic answer

Why is my company never mentioned by AI? is not a mystery problem. It is usually a retrieval-surface problem: public pages either give AI systems enough clear evidence to quote, or they leave the engine to choose a better-documented competitor.

Symptom

The brand is absent when buyers ask AI systems for tools, vendors, products, or answers in the category, while competitors or generic articles appear instead.

Likely cause

The site is crawlable but not extractable: the homepage does not name the category clearly, the FAQ does not answer buyer questions, schema is missing or thin, and outside sources do not corroborate the claim.

What to check

Check the public evidence layer before changing the product. The highest-signal checks are crawl access, answer-shaped copy, schema, citations, and whether the same buyer question is answered on one canonical URL.

Google and Bing can crawl the homepage and canonical answer pages.
The homepage names the category, buyer, use case, price, and outcome in plain language.
At least one page directly answers the exact buyer question in the H1 and first paragraph.
FAQPage, Service/WebApplication, WebPage, and BreadcrumbList schema match visible page content.
Credible third-party pages mention the brand in the same category.

What WhoCites measures

WhoCites does not guess from metadata alone. It runs the category prompts against live AI and search sources, then ties the result back to the pages and signals that explain the miss.

Whether 7 engines mention the brand for buying-intent prompts.
Which competitors appear instead and in what rank.
Whether source citations point to the brand, competitors, directories, or generic guides.
Which prompt misses are core category failures versus adjacent opportunities.

What to fix next

The next fix should improve the source material AI can retrieve, not just the words on a landing page.

Publish or strengthen one canonical answer page for the missed buyer question.
Add self-contained FAQ answers and schema that repeat the category language naturally.
Make changed URLs discoverable through internal links, sitemap, Search Console, and IndexNow.
Earn one legitimate outside reference that confirms the brand's category fit.

Why is my company never mentioned by AI?

AI engines mention companies whose pages are easy to extract from: clear category language, structured schema, self-contained FAQ chunks, comparison content, and outside citations. When those signals are absent, AI recommends whichever competitor is easier to retrieve. WhoCites measures this across ChatGPT, Claude, Gemini, Grok, Copilot, Perplexity, and Google AI Overviews for $49.

What signals make a brand extractable

Extractable brand signals are a homepage that names the category and buyer in plain language, FAQ pages with structured chunks, schema markup (FAQPage, Service/WebApplication, BreadcrumbList, HowTo), comparison content against named competitors, and verifiable outside citations from third-party sources.

Why competitors get cited and you don't

Competitors get cited when their pages give AI a confident, defensible chunk to quote. If a brand's homepage says 'workflow software' but a competitor's says 'project management for design agencies', AI quotes the more specific page. Specificity wins.

Differences across AI engines

ChatGPT (with browsing) and Perplexity quote live web content. Claude relies more on training data plus optional browsing. Gemini blends training with Search retrieval. Google AI Overviews is browsing-grounded. Grok and Copilot vary by query type. Coverage on one engine does not predict coverage on another.

What WhoCites measures

WhoCites runs the same buying-intent prompts against 7 engines and records brand mention rate, brand rank when mentioned, competitor mentions in the same response, source citations, and engine-by-engine visibility. The result is one 0-100 visibility score plus the prompts where the brand is missing.

What to fix first

Fix order: homepage entity clarity, FAQ schema, comparison page against named competitors, methodology or research page, then outside corroboration. The report ranks fixes by leverage so the first commit is high-impact.