AEO & AI Search
The AI Visibility Audit: What It Measures, What the Market Charges & What Ours Costs
Before you spend a dollar on AEO/GEO tactics, you need to know where you actually stand. Here's what a real AI visibility audit checks, what the market charges for one, and what we publish as a fixed price.
By Constant Concepts AI · Every figure below carries a publisher and year
Key takeaways
- →A real AI visibility audit measures four things: multi-engine presence, extractability, entity/schema hygiene, and a citation baseline.
- →The credible market range for a real audit is $1,000–$5,000; cheap $49–$497 automated scans exist but skip citation-log accountability.
- →Engagement-grade audits for large competitive sets run $8,000–$25,000.
- →Our own AI Visibility Audit is a fixed, published price — credited toward a retainer if you continue.
Most agencies hide their audit pricing behind a "custom scoped" discovery call. We publish ours, the same way we publish everything else — and before you pay anyone for one, here's what a real audit actually needs to check.
What it measures
A real AI visibility audit answers four separate questions, and a report that skips any one of them is incomplete — presence without extractability is a false positive, and entity hygiene without a citation baseline gives you no way to measure whether anything improved.
1.Multi-engine presence
Whether the brand shows up when a defined set of buyer-intent prompts is asked across ChatGPT, Perplexity, Gemini, and Google AI Overviews — tested per engine, not a single spot-check on one platform.
2.Extractability
Whether an engine can actually pull content off the site at all: crawlability, page structure, and whether the answer sits in the first 150–200 words or is buried three paragraphs into a scene-setting intro.
3.Entity & schema hygiene
Consistent business name, address, and description across the site and third-party sources, sameAs links, Organization/Service/FAQ schema, and knowledge-panel accuracy.
4.Citation baseline
The brand's current citation rate and share of voice versus named competitors on the tracked prompt set — the number every future report gets measured against.
Multi-engine presence
The starting question is simple and almost nobody has checked it: when a real buyer asks ChatGPT, Perplexity, Gemini, or Google's AI Overview the question your business answers, do you show up at all? A single spot-check on one engine isn't an answer — the platform-share data shows the traffic is spread across five meaningfully different engines with different retrieval behavior, so presence on one says nothing about presence on the others.
A defined prompt basket — the specific questions a real buyer in your category would actually type — gets run against each engine, and the result is a presence map: where you show up, where a competitor shows up instead, and where nobody shows up yet.
Extractability
No engine, generative or otherwise, quotes a page it can't crawl or can't parse. The audit checks the mechanical layer first — is the page actually crawlable, is the content in the HTML (not locked behind client-side rendering an AI crawler skips), and is the direct answer stated early enough for a model scanning the page to actually find it.
This is where the audit and the fix connect directly: a page that fails extractability is exactly the kind of gap our answer-first content work closes.
Entity & schema hygiene
Consistent business name, address, and description across your own site and every third-party source that mentions you — Crunchbase, LinkedIn, G2, your Google Business Profile — plus sameAs links tying them together and Organization/Service/FAQ schema on your own pages. A model that finds three different spellings of your company name treats you as three weaker signals instead of one strong one.
The audit reports this as a checklist of specific mismatches to fix, not a generic "improve your entity signals" note.
Citation baseline
Everything above rolls up into one number: your current citation rate and share of voice against named competitors on the tracked prompt set. This baseline is what makes the audit useful past day one — it's the number every future citation-log report gets compared against. Without it, "did the work move the needle" is a guess instead of a measurement.
We cover exactly how that ongoing measurement works — the citation log, share of voice, and realistic timelines — in the measuring AI citations guide.
What the market charges
A one-time AI visibility / AEO audit runs $1,000–$5,000 (Space & Story, 2026) for a real, human-scoped engagement. A tier of cheap DIY-adjacent scan tools exists below that — a fixed $99, 5-day, 5-query scan (Optimum Web, 2026), tiered self-serve audits from $497 (Mass Monopoly, 2026), and automated scans from $49 (Webteqno, 2026) — but the market itself is candid that packages priced that low "cannot realistically include citation building, custom content, or tracking accountability" (Outreach Bloom, 2026).
At the top end, engagement-grade AI visibility audits for large competitive sets and deep prompt baskets run $8,000–$25,000 as a one-time engagement, scaling with competitive-set size and prompt-basket depth (Sparkle Technologies, 2026).
Our published offer
Our AI Visibility Audit is a fixed $1,500 — undercutting the $1,000–$5,000 market range while remaining a real, human-run engagement rather than a $49–$99 loss-leader scan. It covers where you stand today across ChatGPT, Perplexity, Gemini, and Google AI Overviews, plus a prioritized 90-day roadmap, and it's credited toward a retainer if you continue. Full pricing sheet, including retainer rates, lives at /services/seo.
FAQ
What's the difference between your audit and a $49 automated scan?
A $49–$99 scan (the budget tier several tools publish) typically runs a handful of prompts through one or two engines and reports raw presence/absence. Ours covers a defined multi-engine prompt basket across ChatGPT, Perplexity, Gemini, and Google AI Overviews, checks extractability and entity/schema hygiene on your own site, and hands you a prioritized 90-day roadmap — not just a snapshot. It's the difference between a scan and a citation-log baseline you can act on.
Does the audit price count toward a retainer?
Yes. If you continue into an AEO/GEO retainer after the audit, the $1,500 is credited toward it — the audit is a real, standalone deliverable either way, not a bait-and-switch discovery call.
How long does the audit take?
You get a written report with the multi-engine findings and the prioritized 90-day roadmap. Most of the underlying work — running the prompt basket, checking entity consistency, auditing schema and extractability — happens in the first 1–2 weeks after kickoff.
Do you guarantee we'll be cited after the audit?
No one can honestly guarantee what ChatGPT or Google will cite — anyone promising that is selling snake oil. The audit tells you exactly where you stand today and exactly what's blocking citation; the roadmap it produces is the plan for closing that gap, measured against the baseline it establishes.
See where you stand today
Run the $1,500 AI Visibility Audit, or book a 30-minute AI Readiness Briefing to talk through what it would cover for your category.
Keep reading: answer-first content, measuring AI citations, and AEO vs SEO in 2026.
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