Why doesn't ChatGPT recommend my company?

August 3, 2026 — 8 min read — Discoverability & Content

Ask an AI engine this and you get a visibility checklist. Fix your Google Business Profile. Get consistent NAP details. Collect reviews on trusted sites. Earn backlinks from reputable publications. Add schema markup. Publish authoritative content.

All true, all worth doing, and none of it explains the actual failure — because you can complete every item on that list and still score 52 out of 100 on whether an AI agent can do anything with you.

That is not a rhetorical number. It is what the agent-readiness engine returns when you pass every visibility and markup check and nothing else.

The reason the checklist tops out so low is that roughly half the score has nothing to do with being found. It is about what your business has decided to publish, and what it will let a stranger do without talking to a human. No amount of structured data fixes a pricing page that says "contact us."

None of this is specific to ChatGPT. The same gap applies to Perplexity, Claude and Google's AI Overviews — ChatGPT is simply where most people notice it first, because it is where most people ask.

Here is the arithmetic, run on a real audit, with the output shown — the same reproducible engine-output method used in My LTV:CAC is bad. Which number do you actually fix?

The same discipline applied to reporting metrics — which numbers actually show whether marketing is working — is in How do I know if marketing is working?

The visibility half of the problem

The engine scores fifteen checks across five dimensions. Eight of them are things the standard advice already covers — findability and machine-readability:

  • Content renders without JavaScript — 14 points
  • Structured data on key pages — 8
  • llms.txt published — 5
  • Clean heading hierarchy — 3
  • Organization schema, consistent identity — 6
  • AI crawlers permitted in robots.txt — 6
  • No blanket bot-blocking at the edge — 4
  • Key actions aren't CAPTCHA-walled — 6

That is 52 points. Every one of them is on every "get recommended by AI" listicle published in the last year, and they are all worth doing.

The other 48 points are different in kind:

  • Pricing published and parseable — 12
  • Self-serve path exists — 8
  • Specs and features in structured form — 7
  • Comparison facts available — 6
  • Public API or documented integration — 6
  • Claims sourced and verifiable — 5
  • Facts consistent across surfaces — 4

None of those are visibility. Publishing your prices is a commercial decision. Offering a route that completes without a sales call is a go-to-market decision. Documenting an API is a roadmap decision. No amount of directory listings or review volume moves any of them.

What a perfect visibility score actually looks like

Pass all eight findability checks, fail everything else:

AAJ · AGENT READINESS
──────────────────────────────────────────────────────────────────
  Score  █████░░░░░  52/100
  WEAK — An agent can read the site but can't reliably evaluate or transact.

BY DIMENSION
  Machine-readable content     30/30  ██████████
  Evaluable facts               0/25  ░░░░░░░░░░
  Action surface                6/20  ███░░░░░░░
  Identity & trust             6/15  ████░░░░░░
  Agent access policy          10/10  ██████████

Two dimensions at full marks. The verdict is still WEAK, and the engine's one-line summary is the whole problem: an agent can read the site but can't reliably evaluate or transact.

Being found is the part everyone optimises. It is also the part that no longer differentiates anything, because it is the part that is easy.

The single most expensive line item is your pricing page

The largest deduction in the entire rubric is not schema, or reviews, or backlinks. It is twelve points for pricing a machine cannot parse. The engine's reasoning is blunt:

An agent comparing options cannot include you. 'Contact us' is a non-answer to a machine — it will return your competitor's number instead.

That is worth sitting with, because it explains the original question better than any visibility answer does. An agent asked to shortlist three vendors does not pause at a contact form. It does not email you. It returns the two vendors whose numbers it could read — and you are not rejected or ranked lower. You are simply absent.

Publishing prices moves the same site from 52 to 64. One change, no code, worth more than server-side rendering and structured data combined.

Our own site scores 75

We ran this on aajconsult.com. Prices are published, specs are in tables, facts are consistent across pages. Here is the result, unedited:

{
  "score": 75,
  "verdict": "PARTIAL",
  "blocked": false,
  "dimensions": [
    { "id": "readable",   "name": "Machine-readable content", "earned": 30, "possible": 30 },
    { "id": "evaluable",  "name": "Evaluable facts",          "earned": 19, "possible": 25 },
    { "id": "actionable", "name": "Action surface",           "earned":  6, "possible": 20 },
    { "id": "trust",      "name": "Identity & trust",         "earned": 10, "possible": 15 },
    { "id": "access",     "name": "Agent access policy",      "earned": 10, "possible": 10 }
  ],
  "gaps": [
    { "id": "selfServe",      "label": "Self-serve path exists",              "points": 8 },
    { "id": "comparisonData", "label": "Comparison facts available",          "points": 6 },
    { "id": "api",            "label": "Public API or documented integration","points": 6 },
    { "id": "claimsSourced",  "label": "Claims are sourced and verifiable",   "points": 5 }
  ]
}

Action surface: 6 out of 20. That is the number that matters, and it is the worst score on our own site.

Every one of the four remaining gaps is a business-model decision. A consultancy selling sprints has no self-serve path because the product is a person's attention. There is no public API because there is nothing to call. Those are defensible choices — but they are choices, and the engine correctly refuses to let markup compensate for them.

The closing summary is the part worth printing out:

WHAT AN AGENT CAN DO TODAY
  Read your content      yes
  Compare you on price   yes
  Take an action         no — every path needs a human
  Reach you at all       yes

Three out of four. The one that fails is the one where revenue happens.

The comparison gets built whether you supply the facts or not

The six-point deduction for missing comparison data carries the sharpest line in the rubric:

Agents build comparisons whether or not you supply the facts. Absent yours, they use a competitor's framing.

This inverts the usual instinct. The conventional reason not to publish comparison pages is that you would rather not draw attention to alternatives. In an agent-mediated market that stops working, because the comparison happens regardless — assembled from whatever the agent can find, which will be your competitor's page about you, not your page about you.

The same logic applies to unsourced claims. An agent that cannot verify "3.2× pipeline growth" does not simply believe it less. It discounts it against a source it trusts more, and that source is rarely you. This is also why review volume and backlinks help less than the checklist implies: they establish that you exist, not what you cost or what you do.

Run it on your own site

Two commands, no configuration, no account:

npx skills add sarojkjha/aaj-marketing-skills --skill agent-readiness-audit
node .agents/skills/agent-readiness-audit/resources/agent-readiness.js --help

Then add one flag for each check you pass. To reproduce the 52-point visibility-only score above:

node .agents/skills/agent-readiness-audit/resources/agent-readiness.js \
  --ssr --schema --llms-txt --clean-headings \
  --org-schema --allows-ai-crawlers --no-agent-blocking --no-captcha

Add --json for machine-readable output, or --all to see what a perfect score looks like.

One caveat the engine states about itself: this is a self-assessment. Verify each answer against the live site — view-source for rendering, robots.txt for access, and an actual agent attempt for the action surface. A flag you award yourself optimistically produces a number you cannot defend. To measure the reach, read and understand layers on a live URL instead of self-reporting them, use the SEO & GEO Readiness Scorer.

What to do with the result

If you scored in the fifties with good visibility, you do not have a discoverability problem. You have a publishing problem, and the order is:

  1. Publish prices. Twelve points, and the only gap that removes you from comparisons entirely rather than ranking you lower within them.
  2. Structure your specs. Seven points. Tables with consistent labels. Say what it does, not how transformative it is.
  3. Open one self-serve path. Eight points. A trial, a purchase, or a booking that completes without a human.
  4. Publish your own comparison facts. Six points, including what you don't do.

The first two are copy changes. The third is a real decision, and for some businesses the right answer is to accept the deduction knowingly — which is a different thing from not knowing it exists. Our own published rates, including the AI visibility work, are on the pricing page — which is the first fix in this list, applied to ourselves.

Frequently asked questions

Isn't this just an SEO problem?

Partly, and the SEO half is the easier half. Directory listings, consistent business details, reviews and backlinks establish that you exist and help an engine find you. They do nothing about whether an agent can parse your price, match your capabilities against a requirement, or progress without a human. Those failures happen after you have been found, and they are worth 48 of the 100 points.

Why doesn't ChatGPT mention my company even though we rank well in Google?

Ranking proves your pages are retrievable. Being recommended requires an engine to have facts it can compare — a price, a specification, a limit, a sourced claim. A page can rank first and still supply nothing an engine can put in a comparison, in which case it names whoever did supply those facts.

Why don't AI engines recommend my company?

The same reason applies across ChatGPT, Perplexity, Claude and Google's AI Overviews, and it is not primarily about visibility. Once an engine can find you, it needs facts it can put into a comparison — a price, a specification, a limit, a sourced claim. Companies that publish those get named. Companies that publish positioning language and a contact form get read and then passed over. Engines differ in how they retrieve; they do not differ in needing something concrete to compare.

Is agent readiness the same thing as GEO?

No. GEO asks whether an AI engine will cite you in an answer. Agent readiness asks whether an agent acting for a buyer can evaluate you against alternatives and then do something. A site can be well cited and impossible to transact with — that gap is exactly what this measures.

We deliberately don't publish prices. Are we penalised unfairly?

You are penalised accurately. The deduction measures a real consequence, not a moral failing. If enterprise pricing genuinely has to be negotiated, publishing a starting figure or a documented range recovers most of the twelve points, because a parseable floor is enough to keep you in an agent's shortlist.

What's the fastest way to get recommended more often?

Publish prices as text with the unit and currency explicit, then put specs into tables with consistent labels. Those two changes are worth 19 points, require no engineering, and can usually ship in a day — considerably faster than earning the backlinks the standard checklist recommends.

Sources & further reading