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AI search for AI Companies

6 ways ai companies get recommended by ChatGPT and AI search

Buyers ask AI assistants which AI tools to use, which is ironic and very real. Engines name AI products that are discussed widely and documented clearly, and they change quickly.

Where product teams and enterprise buyers now ask
  • ChatGPT
  • Claude
  • Perplexity
  • Gemini
  • Google AI Overviews
What changed

From ranking a page to being the answer

The SEO era

AI startups launched on Product Hunt, X and newsletters, with SEO an afterthought.

The AI answer

Now product teams and enterprise buyers ask an AI assistant and get a short list with reasons. The category changes weekly and engines' knowledge lags, so AI companies are often described with outdated features or missing entirely.

The playbook

6 ways to get your AI company recommended

  1. 01

    Answer the data safety question

    Enterprise buyers ask it first. Clear, specific security and data use pages are essential.

  2. 02

    Own a use case

    Named tasks and teams, not "AI for everything".

  3. 03

    Document publicly

    APIs, limits and integrations in public docs.

  4. 04

    Publish comparisons

    Versus and alternatives pages, kept current in a fast-moving category.

  5. 05

    Be discussed by practitioners

    Communities decide which tools engines consider credible.

  6. 06

    Refresh often

    Answers about AI tools go stale in weeks, not years.

Our work · Developer tools · Global

An evidence and grounding API for AI agents. A technical product made legible to the buyers and agents that evaluate it. Generating inbound developer sign-ups and enquiries.

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Demand programmes · Technical B2B, software and APIs

Visibility is the diagnostic; enquiries are the goal. For technical b2b, software and apis we run budgeted programmes against a commercial objective: relevant evaluation journeys and sales-accepted opportunities, measured by what your sales team accepts.

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AI search for ai companies: questions

Why do AI engines describe our AI product with outdated features?

Their knowledge lags and they read whatever sources they find. Current, dated documentation and comparison pages help them answer accurately.

What do enterprise buyers ask AI about AI tools?

Data safety, compliance, integrations and alternatives. Clear answers to those are the priority.

How do I know if AI recommends my AI company?

Ask the questions your customers ask, in the engines they use, and see who is named. A single check is an anecdote, because answers vary. Our free demand snapshot runs one buyer journey for your AI company against the questions product teams and enterprise buyers actually ask, shows who the engines recommend instead, and names the next commercial question.

Is AI visibility different from SEO for ai companies?

It builds on it. AI startups launched on Product Hunt, X and newsletters, with SEO an afterthought. AI answers add a new layer: instead of ranking a page, the engine names a business and explains why, using sources beyond your own site.

Want more qualified enquiries for your AI company?

Start with a free, capped snapshot: the questions product teams and enterprise buyers ask, who the engines name instead, and where enquiries leak. If the economics hold, we scope a programme.