Answer-engine readiness

AI Search Visibility Checker

AI search visibility is less about keyword tricks and more about whether the site states who it is, what it does, who it helps, what evidence supports it, and why the next step is credible.

Diagnostic intent

Can AI explain the company correctly?

This public tool is designed to capture a sharper lead, prepare the right review context, and route the visitor toward a credible HAAM audit, sprint, or implementation conversation.

B2B services

Useful when the team needs a clearer outside signal before spending more time or budget.

founders

Useful when the team needs a clearer outside signal before spending more time or budget.

agencies

Useful when the team needs a clearer outside signal before spending more time or budget.

technical products

Useful when the team needs a clearer outside signal before spending more time or budget.

Inputs

What the visitor provides

The tool keeps the intake small enough to complete, but specific enough to support useful follow-up.

  • Website URL
  • Core offer
  • Competitor or category
  • Priority audience

Review model

What HAAM should inspect

The first version collects the request. A full backend can attach evidence collection, screenshots, scoring, and reviewer approval behind the same page.

  • Entity clarity across home, about, service, and case pages
  • Service naming, audience specificity, and proof density
  • Schema, metadata, headings, summaries, and machine-readable structure
  • Comparison readiness against similar providers
  • Sourceability of claims, dates, examples, people, and company facts

Lead magnet output

What the prospect should receive

The goal is not a giant automated report. The goal is a compact, credible artifact that makes the next conversation easier.

  • AI visibility scorecard
  • Rewrite priorities for key pages
  • Structured content recommendations
  • Comparison and citation readiness notes

Example findings

The language should be specific, conservative, and useful

These examples show the type of signal the tool is meant to surface. Real findings should only be sent after evidence is collected and reviewed.

Example 1

The service category is understandable to humans only after scrolling, but not clear enough for an AI answer summary.

Example 2

Claims are strong but not sourceable because dates, examples, and named outcomes are missing.

Example 3

The site has enough expertise but too little structured context for comparison queries.

Conversion path

Route the visitor into a serious project request

The call to action preloads the selected tool into HAAM start flow so the request has context before a conversation begins.

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