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Answer Engine Optimization · Buyer's Guide

What Is an AI Visibility Audit? What's Included + What It Costs

An AI visibility audit is a structured benchmark of how AI engines — ChatGPT, Perplexity, Gemini, Google AI Overviews — mention, cite, and describe your brand versus competitors. It combines prompt-set testing, citation-source analysis, and technical review into a baseline plus a prioritized roadmap. At Helix Apps it costs $4,500 and takes two weeks.

Quick answer: An AI visibility audit measures where your brand stands in AI-generated answers today: how often you're mentioned and cited across ChatGPT, Perplexity, Gemini, and AI Overviews, how you compare to competitors, which sources the engines trust, and what's technically blocking you. The deliverable is a dated baseline and a prioritized roadmap — the prerequisite for any serious AEO work.

What is an AI visibility audit?

An AI visibility audit (you'll also see "AI search audit" or "GEO audit" — same engagement, different label) is a point-in-time diagnostic of your brand's presence in AI-generated answers. Where a traditional SEO audit asks "can search engines crawl and rank this site?", an AI visibility audit asks a harder set of questions: when buyers ask AI assistants the questions that lead to your category, do you appear? Are you cited as a source? How are you described? And who's winning the answers you're losing?

It's the diagnostic arm of answer engine optimization: everything AEO does — content, schema, entity work, citation-source outreach — should trace back to a gap the audit found and quantified.

Why do you need a baseline before AEO work?

Three reasons, and they compound:

  • You can't prove progress without a starting point. AI answers are probabilistic; anyone can screenshot one good response. A dated baseline — mention rates, citation rates, share of voice, sampled across repeated runs — is the only way to later demonstrate that your numbers moved because of the work. That's the discipline behind AI visibility tracking.
  • You can't prioritize without a diagnosis. Maybe your schema is fine and your real problem is absence from the review sites Perplexity cites. Maybe engines describe you with outdated positioning. Each failure mode demands different work; skipping the audit means guessing.
  • It keeps vendors honest. A baseline plus roadmap turns any subsequent retainer — with any provider — into a testable proposition instead of a faith purchase.

In the audits we run at Helix Apps, the baseline regularly contradicts the client's assumptions — a competitor nobody worried about dominating recommendation prompts, or a "content problem" that turns out to be an entity problem. The roadmap that follows looks nothing like the plan the team walked in with.

What does a rigorous AI visibility audit include?

Six components separate a real audit from an automated crawl report:

ComponentWhat it answers
Prompt-set benchmarkingAcross a set of real buying-intent prompts, sampled repeatedly on ChatGPT, Perplexity, Gemini, and Google AI Overviews: how often are you mentioned and cited, and how are you framed?
Competitor share of voiceOn the same prompts, which competitors appear, how often, and with what sentiment — who owns the answers you want?
Citation-source analysisWhich third-party sites — review platforms, communities, publications — each engine actually cites in your category, and where you're absent.
Technical & schema reviewCan AI crawlers access your site? Is structured data present, valid, and aligned with how engines parse entities and answers?
Entity auditIs your brand described consistently across the web — name, category, capabilities — so models resolve you to the right entity with current facts?
Prioritized roadmapEvery finding ranked by expected impact and effort: what to fix first, what to build, what to ignore.

If a provider's "audit" skips the benchmarking or the competitor comparison, you're buying a site crawl with an AI sticker on it.

What deliverables should you expect?

Insist on artifacts you can reuse regardless of who executes next:

  • The baseline report: mention rate, citation rate, and sentiment per engine, with the methodology documented (prompt list, run counts, dates) so it can be re-run identically next quarter.
  • Share-of-voice scorecard: you versus named competitors, prompt by prompt.
  • Citation-source target list: the specific domains each engine trusts in your category — effectively your PR hit list.
  • Technical and entity findings: concrete, ticket-ready fixes, not observations.
  • The prioritized roadmap: sequenced recommendations with expected impact, owner, and effort.
  • A readout call: a working session with the practitioner who did the analysis — not a PDF lobbed over the wall.

How much does it cost and how long does it take?

At Helix Apps, the AI Visibility Audit is $4,500 with a two-week turnaround, covering all six components above and the readout. Two weeks is the honest timeline: sampling each prompt multiple times per engine and scoring the outputs is manual analytical work, and it's exactly the work cheap audits skip.

For market context: largely automated audit reports are advertised anywhere from a few hundred to a few thousand dollars (Stackmatix's pricing survey, for example, observes ranges of roughly $250–$3,000), and they can be a reasonable smoke test. But an automated crawl can't read model outputs, score sentiment, or tell you which competitor owns which prompt — the parts that change your plan. Our full breakdown of what AEO engagements cost, audits included, is in the AEO pricing guide.

What happens after the audit?

The audit is designed to make the next decision easy, whatever it is:

  • Execute in-house. The roadmap and citation-source list are written to be handed to your own team. Re-run the documented prompt methodology quarterly and you have a self-serve measurement program.
  • Engage Helix Apps. Many clients move into an ongoing program from our AEO services — content, entity, and citation-source execution against the roadmap, with monthly share-of-voice reporting versus the audit baseline.
  • Hire someone else. Genuinely fine. The audit makes any provider accountable to numbers they didn't produce — use our guide on how to choose an AEO agency to run the selection.

Either way, you exit the audit knowing where you stand, who's beating you, and what to do first. That's a position almost no B2B SaaS team is in today — and it's two weeks away. Book your AI Visibility Audit.

Key takeaways

  • An AI visibility audit benchmarks your mentions, citations, sentiment, and share of voice across ChatGPT, Perplexity, Gemini, and AI Overviews.
  • The baseline is non-negotiable: without it, no AEO work — yours or an agency's — can be verified.
  • Six components define rigor: prompt benchmarking, competitor share of voice, citation-source analysis, technical/schema review, entity audit, prioritized roadmap.
  • Helix Apps delivers the full audit for $4,500 in two weeks; automated cheap audits skip the analysis that changes your plan.
  • The deliverables are portable — execute in-house, with us, or with any agency, against numbers everyone can re-test.

Frequently asked questions

What is included in an AI visibility audit?

A rigorous AI visibility audit includes prompt-set benchmarking across ChatGPT, Perplexity, Gemini, and Google AI Overviews; competitor share-of-voice analysis; a citation-source analysis showing which third-party sites the engines trust in your category; a technical and schema review; an entity audit of how consistently the web describes your brand; and a prioritized roadmap ranking fixes by expected impact.

How much does an AI visibility audit cost?

Helix Apps charges $4,500 for a practitioner-led AI visibility audit delivered in two weeks. Market pricing varies widely: largely automated audit reports are advertised for a few hundred to a few thousand dollars, while rigorous manual benchmarking from specialist consultancies costs more. The differentiator is method — sampled prompt testing, competitor share of voice, and a prioritized roadmap rather than an automated crawl export.

How long does an AI search audit take?

A thorough AI search audit typically takes about two weeks. Prompt-set benchmarking is the pacing item: each prompt must be run multiple times per engine across ChatGPT, Perplexity, Gemini, and AI Overviews to average out run-to-run variance, then scored for mentions, citations, and sentiment. Faster automated audits exist, but they trade sampling rigor and analysis depth for speed.

What is a GEO audit?

A GEO audit — generative engine optimization audit — is the same engagement as an AI visibility audit under a different label: a structured assessment of how generative AI engines mention, cite, and describe your brand, benchmarked against competitors. Some providers use GEO audit, others use AI search audit or AEO audit. Compare what the deliverable contains, not what it is called.

Do I need an AI visibility audit before hiring an AEO agency?

Yes, in practice. Without a dated baseline of your mention rate, citation rate, and share of voice, you cannot verify whether an agency's work changed anything — every later claim becomes unfalsifiable. An audit also produces the prioritized roadmap that should define the agency's scope, so you negotiate a retainer around known gaps instead of a generic playbook.

KS
Keith Schilling — Founder & Principal Consultant, Helix Apps

Keith has spent 15+ years leading enterprise SEO and demand generation — including AI Search Optimization for PayPal Developer Marketing and enterprise SEO for IBM Watson — and now runs GEO/AEO programs for B2B SaaS companies at Helix Apps.

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Get your baseline in two weeks

The Helix Apps AI Visibility Audit — $4,500, delivered in 14 days — benchmarks your brand across ChatGPT, Perplexity, Gemini, and AI Overviews and hands you the prioritized roadmap. Stop guessing where you stand.