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AI Visibility Audit

A practical audit for brands missing from AI answers.

We audit the gap between your current search visibility and your AI answer visibility, then show the blockers and the top fixes worth acting on first.

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Want to see the full scope first? Read what an AI visibility audit includes or review what an AI visibility audit cannot guarantee before booking.

What We Audit

Three buckets explain most AI visibility failures.

We do not treat AI visibility as one vague score. We isolate whether the problem is access, understanding, authority, or a mix of all three.

Access

Audit bucket

Can AI systems reach, read, and index the pages that should represent your brand?

  • + AI crawler access and robots directives
  • + Bing indexation and sitemap submission
  • + Rendering blockers, redirects, and crawl traps
  • + Schema and machine-readable page signals

Understanding

Audit bucket

Can models extract the core facts about who you are, what you do, and who should choose you?

  • + Answer-first content structure on priority pages
  • + Entity clarity across homepage, services, and about pages
  • + Missing category, use case, pricing, or qualification cues
  • + Page-level extractability for snippets and answers

Authority

Audit bucket

Do enough independent sources confirm your brand for AI systems to trust and cite you?

  • + Prompt testing against competitor answers
  • + Citation-pool mapping across third-party sources
  • + Review, comparison, and forum presence
  • + Authority gaps versus brands already being cited

Deliverables

The audit ends with evidence, priorities, and a path forward.

The goal is to answer one practical question: why are competitors showing up in AI answers and what should your team fix first?

AI Visibility Audit Report

Executive summary + working detail

Diagnostic output
  • Prompt test report across target commercial queries
  • Competitor citation-gap analysis
  • Priority-page review for extractability and entity clarity
  • Access checks for AI crawlers, Bing indexing, robots, schema, and rendering
  • Top 3 priorities to fix first, not a 40-item dump
  • 90-day roadmap with owner and severity guidance

Who It Is For

Best fit for brands that already feel the shift.

This is not for businesses looking for AI hype. It is for teams that want to diagnose a real visibility gap with evidence.

SEO spend is already there

You already invest in SEO, content, or digital visibility and need to understand why AI answers are not reflecting that work.

Traffic or clicks are flattening

Rankings may still look acceptable, but click-through and branded discovery are slipping as buyers use generated answers earlier in the journey.

Competitors show up in ChatGPT and you do not

You have a visible comparison problem now, not a hypothetical one. The audit makes the gap concrete and measurable.

Engagement

Start with the audit. Add implementation only if it makes sense.

The audit is the front door. It gives you a baseline, a competitor gap view, and the priorities worth acting on.

Primary Offer

AI Visibility Audit

Productized diagnostic

A focused review of whether AI systems can access, understand, and trust your brand across the pages and sources that matter.

  • 01 Access checks for AI crawlers, Bing, schema, rendering, and robots
  • 02 Prompt testing against target queries and direct competitors
  • 03 Priority-page extractability and entity review
  • 04 Executive summary, findings detail, and 90-day roadmap
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Optional Add-On

Fix Plan

A prioritized implementation plan broken down by owner, effort, and sequence for SEO, dev, content, and authority work.

Follow-On Support

Monthly Monitoring

Ongoing prompt testing, citation tracking, and implementation guidance once the baseline issues are clear.

FAQ

Questions people usually ask first

What is an AI Visibility Audit?
It is a diagnostic review of whether AI systems can access, understand, and trust your brand. The audit looks at crawler access, Bing indexation, prompt-test visibility, page extractability, and off-site corroboration so you can see what is blocking citation and what to fix first.
How is this different from traditional SEO?
Traditional SEO focuses heavily on Google rankings and organic traffic. AI visibility work also looks at whether answer engines can access your content, extract the right facts, and find enough trusted third-party signals to cite your brand in generated answers.
Which AI systems do you test?
The baseline is ChatGPT, Perplexity, Gemini, and Google AI surfaces where relevant. The exact prompt set depends on the client category, buying queries, and competitors that matter most.
Can you guarantee I will appear in ChatGPT answers?
No. AI citations are not deterministic and they change by query, model, session, and source availability. The service diagnoses and removes blockers, improves the inputs that drive citation probability, and shows you how the gap compares with competitors.
What does the audit deliver?
You get an executive summary, detailed findings, prompt test results, competitor citation-gap analysis, top priorities, and a 90-day roadmap. The goal is to replace vague AI visibility talk with concrete evidence and a usable next-step plan.
Do you implement the fixes too?
Yes, but the audit comes first. Once the blockers are clear, Uygen can help turn the findings into an implementation plan or ongoing monitoring and execution support.
How long does it take to see changes?
Technical fixes can remove access blockers quickly, but citations and answer visibility usually develop over weeks or months rather than days. The audit helps separate fast fixes from slower authority-building work.
Who is this best for?
The best fit is a brand already investing in SEO or content, noticing competitors appear in AI answers, and needing an evidence-based diagnosis rather than another generic optimization promise.

Next step

See why AI systems cite your competitors instead of you.

Book an AI Visibility Audit and get a clear view of the blockers, the citation gap, and the top fixes worth prioritizing first.

Book audit View methodology