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AI Visibility Audit

AI Visibility Audit for brands missing from AI answers.

Uygen audits whether ChatGPT, Perplexity, Gemini, and Google AI can access, understand, and trust your brand. We run 30 buyer-relevant prompts, map your citation rate against competitors, identify the blockers, and deliver a prioritized baseline for what to fix first.

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Want to see the full scope first? Start with the informational guide to what an AI visibility audit is , diagnose why content is missing from Google AI Overviews , see what real user feedback reveals about rankings versus AI visibility , why Google rankings do not guarantee ChatGPT visibility , how to check whether ChatGPT cites your brand , why a clean SEO audit can still miss ChatGPT visibility , 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

Prompts are fixed per engagement and run identically each week. The baseline is frozen at week one so trend data is always directional against the same starting point.

Full methodology →

Deliverables

Evidence, production, and measurement — every week.

The loop produces concrete artifacts, not slide decks. Every deliverable connects to a measurable outcome.

01

Prompt test report

30 prompts run across 5 AI platforms. Every query, every result, every citation gap — documented.

02

Competitor citation gap

Which competitors appear where you don't, and what sources they have that you're missing.

03

Priority-page review

Extractability and entity clarity for the pages most likely to drive citation improvement.

04

Access check

AI crawler access, Bing indexing, robots directives, schema, and rendering — all in one pass.

05

Monthly content package

8 on-site articles and 8 off-site assets per month, production-ready for your team to publish.

06

Weekly delta report

Citation rate, share of voice, and appearance count compared against the frozen week-one baseline.

Scope and fit

One brand. One market. One category.

Tight scope is what makes weekly measurement and compounding evidence possible.

One brand, one market

The loop runs for a single brand in a single geographic market, in a single language. No multi-brand bundles. Scope clarity is what makes weekly measurement meaningful.

Already investing in search or content

You have SEO spend, a content team, or an agency. You're not starting from zero. The loop amplifies what's working and fixes what AI systems can't yet use.

Competitors appear in AI answers

You can see the gap in ChatGPT, Perplexity, or Gemini. It's not a hypothetical problem. The loop makes the gap measurable and gives you a weekly path to close it.

Not the right fit if:

  • Brands in their first 6 months with no existing SEO presence
  • Multi-brand or multi-market engagements
  • Teams looking for a one-time report with no follow-through

Pricing and terms

$700 per month. Three-month minimum.

Three months is enough time to baseline, produce, and show measurable movement. After that, continue month to month.

AI Visibility Loop

$700 / month
3-month commitment

Week one is the audit baseline. Every subsequent week closes the loop: find gaps, produce, measure again.

  • Week 1: AI visibility baseline audit (the starting-point measurement)
  • 30 prompts tested weekly across 5 AI platforms
  • 8 on-site content assets per month
  • 8 off-site placements and citations per month
  • Weekly delta report vs frozen baseline
  • One revision round per content batch
  • Monthly priority and gap review call
Book a call

Terms at a glance

Price
$700 / month
Initial commitment
3 months
Scope
1 brand · 1 market · 1 language · 1 category
Content revisions
1 round per batch
Start
Audit in week 1

Output metrics vs outcomes

We commit to output metrics: prompts tested, assets produced, reports delivered. Outcome metrics — citation rates, share of voice — are observed and reported, not guaranteed. AI citations are not deterministic.

FAQ

Questions people usually ask first

What exactly is the AI Visibility Loop?
It is a recurring weekly service, not a one-time audit. Each week we run 30 prompts across ChatGPT, Perplexity, Gemini, Google AI, and Bing Copilot, identify which citation gaps to close, produce 8 on-site and 8 off-site content assets, and measure your brand's citation rate again. The baseline is frozen at week one so improvement is always measured against where you started.
What does week one look like?
Week one is the baseline audit. We run the full prompt set, map your current citation rate and competitor gaps, review access and extractability blockers, and set the frozen baseline. Production starts in week two.
What are the "8 on-site" and "8 off-site" assets?
On-site assets are articles, page updates, and schema additions we produce for your domain. Off-site assets are directory submissions, citation placements, and structured mentions on third-party sources. You publish the on-site content; we handle placement for the off-site work. All assets are produced to close the specific gaps found that week.
Which AI systems do you test against?
The standard set is ChatGPT, Perplexity, Gemini, Google AI Overviews, and Bing Copilot. The exact 30 prompts are scoped to your category, buying queries, geography, and direct competitors.
Can you guarantee my brand will appear in ChatGPT?
No. AI citations are not deterministic — they change by query, model version, session, and source availability. We commit to output metrics: prompts tested, assets produced, weekly reports delivered. Citation rate, share of voice, and appearance counts are observed and reported, not guaranteed.
Why a 3-month minimum?
AI citation improvements build over weeks, not days. Technical fixes can unblock crawlers quickly, but off-site corroboration and citation momentum require time to accumulate. Three months gives the loop enough cycles to show a measurable trend. After the initial term, the engagement continues month to month.
How much time does this require from my team?
Under 30 minutes per week. You review the weekly report, approve content drafts, and publish what you want on your site. We handle everything else.
What does Uygen not do?
We don't push to your CMS, post on your behalf, or publish anything without your approval. We don't run multi-brand or multi-market engagements under one loop. We don't guarantee rankings, citations, or control over what AI systems say about you.
Who is this best suited for?
Brands already investing in SEO or content who can see that competitors appear in AI answers and they don't. One brand, one market, one language, one product or service category. Not for brands in their first six months with no existing search presence.

Ready to start

Find out why competitors appear in AI answers and you don't.

Book a call and we'll walk through the loop, scope the engagement, and show you what week one delivers. $700/mo. 3-month start.

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