Takusen / AI visibility audit

AI visibility audit

A consultancy engagement for SEO agencies and B2B SaaS teams that need evidence they can review and improvements they can act on.

Start with a business question

Are buyers being told the right facts about your product? Is your business suggested for the use cases it actually serves? Which sources support competitor recommendations? We turn those questions into an explicit scope rather than promising complete market visibility.

Agree the scope first

The audit offer is $950. Before engagement, confirm the website, competitors, prompt set, surfaces, language, region where available, repeated runs, evidence format and delivery date. Consumer subscriptions and API experiments are different test conditions. Access restrictions may limit the final panel.

White-label agency delivery and an optional Free vs. Paid Tier Comparison can be agreed when appropriate access exists. No claim of exclusivity is made.

What the audit covers

  1. Website and crawler access. Review response codes, robots instructions, served HTML, navigation, canonical URLs and relevant public content. A diagnostic request is not proof of genuine crawler access.
  2. Defined AI-answer sampling. Select representative buyer questions and retain the prompt version, test conditions and full response evidence for agreed runs.
  3. Source review. Inspect citations and factual claims. Separate a link to your domain from a recommendation of your business.
  4. Competitor context. Where included, compare businesses against the same prompts and conditions. Mention order alone is not a ranking.
  5. Prioritized recommendations. Identify missing explanations, conflicting facts, access defects and useful content changes, with acceptance checks.

From report to implementation

A separate implementation sprint starts at $2,500. It can include comparison pages, schema that matches visible content, clearer documentation and crawler-access repairs. Each change gets a defined deliverable and validation plan; an MCP server or other integration is considered only if there is a real use case.

What this cannot establish

A small panel cannot measure all users, prove why a model chose an answer, or establish that a website change caused a later mention. Search indexing, model recommendations and commercial outcomes are not guaranteed.

Review the proposed methodology and technical self-audit example before requesting a scope.

Request an AI visibility audit