~/jeremy
Answerproof

Find out where AI search recommends your competitors instead of you.

A productized AI visibility audit for B2B SaaS and high-value B2B services teams. I test the buyer questions that matter, trace which sources AI systems cite, and turn the gaps into a 30-day revenue-search plan.

Request diagnostic Score your gap See sample View checklist
$ offer

What you get

  • Prompt map for high-intent buyer questions across your category.
  • Competitor citation table across ChatGPT, Perplexity, Gemini, and Google AI surfaces.
  • Source audit showing which pages, entities, schema, and third-party mentions shape the answers.
  • 30-day action plan ranked by revenue relevance and implementation effort.

Who it is for

  • B2B SaaS and services teams with an existing category, not a brand-new market.
  • Founders, CMOs, and growth leads who already care about SEO and conversion.
  • Teams that suspect traditional rankings are no longer the whole discovery path.
  • Companies with 2 to 5 named competitors buyers regularly compare.
$ packages
Diagnostic

$1,500

One-time audit, delivered as a buyer-question map, competitor citation report, and prioritized fixes.

Start diagnostic
Monitor

$2,500/mo

Monthly prompt tracking, answer-drift review, source-gap analysis, and implementation planning.

Start monthly
Build

$5,000/mo

Everything in Monitor plus done-with-you technical SEO, schema, content briefs, and citation work.

Talk scope
$ positioning

Not another monitoring dashboard.

AI answers already cite plenty of tools and agencies. The expensive gap is knowing which buyer questions matter, why competitors appear, which sources caused the answer, and what to fix first. Answerproof is audit-first: evidence, source trail, and a ranked implementation plan before you buy another dashboard.

$ self-check

Is this worth checking now?

This quick score is intentionally blunt. If the total is high, the risk is not abstract brand awareness. It is buyers asking AI for vendor shortlists and seeing somebody else first.

14 / 20: worth a first audit
$ sample

See the shape of the deliverable.

I published a sample teardown using a public AI-visibility category query. It shows the buyer question, cited domains, source interpretation, and 30-day action plan.

Open sample teardown Read the field note Read 12 pre-check notes
$ prompt map

Generate your first buyer-question map

This does not call an API. It gives you the question set I would use for a first-pass audit, then packages it into an email so I can run the real check. 

Enter a domain, category, and competitors to generate a starter map.
Email this map
$ why me

This sits at the intersection of work I already do: technical SEO, data engineering, operator-style diagnosis, and testing AI systems as systems rather than demos. The deliverable is not a dashboard dump. It is a ranked answer to one expensive question: what should change this month so more qualified buyers see you in AI-mediated search?

Send me your site