AI Visibility Audit
An AI visibility audit is a technical review of whether ChatGPT, Perplexity, Google AI Overviews, Copilot and Gemini can read your website, extract a clean answer from it, and cite it in a generated response. It is not a rebrand of an SEO audit. It ends with a documented report and a fix list ordered by commercial impact.
Summary
QBiz Leads AI runs AI visibility audits as a documented technical check across six signal areas: schema markup, AI-crawler access, metadata quality, page hierarchy, FAQ and answer-ready content, and entity consistency, plus a snapshot of what AI platforms currently say about the business where that is observable. The output is a severity-rated report and a prioritised fix list, every finding rated blocking, accuracy-reducing or an improvement opportunity. Pricing is set by site size and current condition, not by industry. A 10 to 50 page site typically takes 3 to 5 working days.
Why this question is worth answering now
A business that has never lost a keyword position can still watch its enquiries fall, because the buyer never reached the results page at all. That gap, between ranking well and being read by the systems that now sit above the results, is what an audit exists to measure.
In the first four months of 2026, 68.01% of Google searches ended without a click to any website, up from 60.45% in 2024 (SparkToro, June 2026). Whatever answers the query on the results page, an AI summary, a panel, another Google property, is deciding what the searcher sees before your listing gets a chance.
Across almost 40,000 queries, 88% of Google AI Mode citations did not match the exact URL in the organic top 10 for that query, and only 1 in 5 matched even at domain level (Moz / STAT, 2026). A page can rank first and still never be the one an AI answer pulls from.
QBiz Leads AI's own audit of 173 UK local service websites found the technical basics largely in place, but the content that actually gets quoted, FAQs, process explanations, llms.txt, was missing on roughly two in three sites (AI Visibility Gap Report 2026). Most businesses are guessing at their own AI readiness because nobody has measured it.
None of this means SEO stopped mattering. It means a second, separate question now sits alongside "do I rank": can the systems reading the results page actually use what's on my site. An AI visibility audit is how that second question gets a real answer instead of a guess.
What the audit checks
Each area below is checked against your own pages, not against a generic template. The audit records the current state, the specific pages affected, and the severity of each gap.
Whether GPTBot, PerplexityBot, ClaudeBot, OAI-SearchBot and Google-Extended can actually reach your pages, or whether a security plugin, a CDN rule, a firewall setting or a robots.txt directive written before these crawlers existed is silently blocking them. This is checked first, because nothing downstream matters if the page can't be read at all. Across a 2026 study of 1,000 domains, 12.2% blocked at least one major AI crawler, and GPTBot was blocked roughly four times more often than PerplexityBot (Mustard Seed, July 2026). Most site owners in that position have no idea.
Whether LocalBusiness, Service and FAQPage schema are present, correctly typed and free of validation errors, not just whether a plugin dropped in a generic Organization block. Across a 2026 audit of 500 sites, 68% had structured data that was partially or fully missing, with most of what existed limited to the most basic types (CS Web Solutions, 2026). The audit also checks for an llms.txt file: not a requirement, but an emerging, still-uncommon signal worth having if your competitors don't.
Whether title tags, meta descriptions and Open Graph data state the specific service and location in terms a machine can use, or whether they are written purely for human click-through with nothing an AI system can extract to match a buyer's query.
Whether your service pages, location pages and FAQs are structured so an AI system can infer scope: which service is primary, how sub-services relate to it, which pages serve which areas. A flat list of disconnected pages tells a machine nothing about specialism, even if every individual page reads well.
Whether real buyer questions are answered directly, in self-contained blocks an AI system can quote without editing, and whether they are marked up with FAQPage schema so each question-answer pair is individually addressable. This is checked against what buyers actually ask, not against a generic set of questions copied from a competitor.
Whether your business name, service terminology, location formatting and credentials appear identically across every page, your Google Business Profile and any other public listing an AI system might cross-reference. Where AI platforms are reachable at audit time, the audit also records what they currently say about the business: whether they name it, misdescribe it, or cite a competitor instead, and which source they pulled that citation from.
What you receive
The deliverable is three things, and all three are documents, not a conversation you have to remember correctly afterwards.
Every signal checked, what was found, the specific pages affected, and a severity rating: blocking, reducing accuracy, or an improvement opportunity.
Where AI platforms were reachable during the audit, a dated record of what they currently say about the business, whether they name it, and which competitor and source they cited instead. A snapshot, not a permanent state.
Every finding ordered by commercial impact: a blocked crawl path on your highest-revenue service page outranks a metadata tweak on an archived post, because nothing downstream matters until the block is cleared.
The report stands alone and works with your own developer or agency. QBiz Leads AI also implements the fixes directly under AI optimization services, with nothing going live without sign-off.
What this deliverable is not: a slideshow, a percentage score with no explanation, or a 40-page document nobody opens again. Every finding traces to a specific page and a specific fix.
Who needs this, and why now
Not every business needs this audit urgently. The ones that do share a pattern: buyers research before they call, and the research increasingly happens inside an AI answer rather than a list of blue links.
Two of these are checkable in under a minute. Ask three AI assistants to describe your business and see what comes back, then check whether your own site returns a page at yourdomain.com/llms.txt. If either one is wrong, thin or missing, that's the audit's job to explain in full.
A different audit, not a rebrand
An AI visibility audit shares a technical base with an SEO audit and then asks a different question of the same site. This table lines the two up directly, because the confusion between them is where most businesses waste a first fix cycle on the wrong thing.
| Question asked | SEO audit | AI visibility audit |
|---|---|---|
| What does it measure? | Whether the site can win a ranked position in a list of results | Whether an AI system can read the page and extract a usable answer from it |
| Core technical check | Crawlability for Googlebot, indexation, Core Web Vitals | Crawl access for named AI user agents (GPTBot, PerplexityBot, ClaudeBot, Google-Extended) |
| Content check | Keyword targeting and relevance to search intent | Whether real buyer questions are answered in self-contained, extractable blocks |
| Structured data check | Schema as a ranking-eligibility signal (rich results, snippets) | Schema as the machine's primary source of who you are and what you offer |
| Authority check | Backlink profile and domain authority | Entity consistency and corroboration across the wider web |
| What a pass looks like | A page positioned in the top results for its target terms | A page an AI system can read, understand and quote accurately |
| Where they overlap entirely | Basic crawlability, mobile rendering, page speed, clean HTML: a site broken here fails both audits identically. | |
A page can pass one and fail the other. A page holding a top-three Google position on backlinks and domain authority can still be too vague for an AI system to extract a clean answer from. Ranking position and answer extractability are correlated, not identical, and this audit checks the one a rankings report doesn't.
Pricing, stated plainly
QBiz Leads AI does not price an audit by trade or by what a business earns: identical technical work does not cost more because a business happens to be more profitable. Three things set the figure instead.
The number of pages and distinct templates (service pages, location pages, blog categories) determines how many pages need individual schema, metadata and hierarchy checks. A ten-page site is faster to audit than a hundred-page one with years of accumulated structure.
A site with clean schema and no crawl blocks needs less diagnostic time than one running several plugins, a CDN, and robots.txt rules nobody has reviewed since the site was built. The audit still has to test every configuration to be sure.
A niche and location where several providers are already fighting for the same AI-answer slot needs a deeper FAQ, entity and citation-evidence review to find the gap worth closing. A quieter market needs less depth to establish where a business stands.
The accurate way to get a number is the scoping step itself. A ten-page site with sound foundations and a hundred-page site with a decade of undocumented plugins are different pieces of work, and pricing either one blind produces a figure that's wrong in one direction or the other. The free check establishes the starting condition of your site in about thirty seconds; a short scoping conversation turns that into an exact quote for the full audit.
What an audit cannot do
No agency, QBiz Leads AI included, can guarantee that ChatGPT, Google AI Overviews, Perplexity or any other platform will name a business after the fixes are made. These systems choose their own sources, using retrieval methods and training data an outside audit cannot see or influence.
What the audit and the fixes that follow it change:
Of the four, crawl access carries the most weight: a blocked crawler makes every other fix invisible, so it is usually the first thing worth closing. The rest compound more slowly rather than landing at once. Anyone selling a guaranteed AI mention is selling something no provider actually controls.
A small number of specialist AEO/AI-visibility agencies run this as a named service, alongside SEO agencies that have added it as a bolt-on. The distinction that matters is method, not the label. A genuine AI visibility audit checks named technical signals (schema, crawl access for specific AI user agents, FAQ structure, entity consistency) and reports each finding in enough detail to act on directly. QBiz Leads AI runs this as a documented, six-signal technical audit followed by a prioritised fix list, described in full elsewhere on this page.
Six areas:
Where current AI answers can be observed, the audit also records what ChatGPT, Perplexity and Google AI Overviews currently say about the business and who they cite instead.
A structured report, not a slide deck. It documents the current state of each of the six signal areas, the specific pages affected, a severity rating for every finding, and a fix ordered by commercial impact rather than by ease. Where AI platforms were reachable during the audit, it includes the evidence captured: which platforms named the business, which named a competitor instead, and the source each platform cited. You can hand the report directly to a developer, or to QBiz Leads AI for implementation.
An SEO audit checks the signals that decide ranking position: keyword targeting, backlink profile, Core Web Vitals, index status. An AI visibility audit checks whether an AI system can read your site at all, and if it can, whether it can extract a clean answer from it. The two overlap at the technical base (a page search engines cannot crawl is also unreadable to an AI crawler) and diverge after that. A site can pass an SEO audit and still fail an AI visibility audit, because ranking well and being extractable are different properties of the same page.
No, and any provider claiming otherwise is overstating what the audit can promise. The audit measures whether the signals under your control are present and correct: schema, crawl access, FAQ coverage, entity consistency. Those signals make a business a stronger candidate for citation. Whether an AI platform actually names the business depends on its own retrieval methods and on corroboration elsewhere on the web, neither of which the audit or any agency controls.
A site of 10 to 50 pages typically takes 3 to 5 working days from start to a delivered report. A larger site, or one with a complex technical stack (multiple plugins, a CDN, a custom CMS), can take longer because crawl-access checks have to be run against each configuration separately. The timeline covers the crawl-access check, schema review, metadata analysis, page-hierarchy mapping, FAQ assessment, entity-consistency review and the production of the ordered fix list.
Pricing is set by the scope of the work, not by industry or revenue. Three things drive the figure: the number of pages and templates on the site, the current state of its technical signals, and how competitive the niche and location are, because a more competitive market needs a deeper FAQ and entity review to close the gap. A ten-page site with sound foundations costs less to audit than a hundred-page site with a decade of accumulated plugins and undocumented crawl rules. QBiz Leads AI does not price by trade or by what a business earns. A short scoping conversation, or the free check linked on this page, gives an accurate figure before any commitment.
Both are available. The audit stands alone: a documented report you can hand to your own developer or agency. QBiz Leads AI also offers implementation, covered under AI optimization services, which carries out the schema, crawl-access, metadata and FAQ fixes the audit identifies. Nothing goes live without sign-off, and the audit report is the same either way.
Where the platform is reachable at audit time, yes: the audit runs a set of buyer-style prompts against the AI platforms directly and records what comes back, including which source each platform cited. Platform behaviour changes between runs and between accounts, so this is reported as a dated snapshot, not a guaranteed permanent state. Where a platform's access is inconsistent for automated checks, the audit says so plainly rather than presenting an estimate as an observation.
Often yes, because passing validation and being complete are different things. A validator confirms the schema you have is syntactically correct. It does not check whether you are missing Service schema on half your pages, whether your FAQ content matches the questions buyers actually ask an AI system, or whether your business name is written three different ways across the site. The audit checks completeness and consistency, not just validity.
Missing or thin answer-layer content, not missing technical basics. In QBiz Leads AI's own audit of 173 UK local service websites, the technical foundations were strong (crawlability passed on 94.2% of sites, mobile rendering on 93.6%) while the answer-oriented signals were consistently the weakest: 69.4% of sites had no llms.txt file, 68.2% had no FAQ content, and 67.1% had no process explanation. Most sites are present and readable. Far fewer explain themselves in a form an AI system can extract and quote.
Start with the free check. It takes about thirty seconds and tells you whether the three highest-level signals are in reasonable shape. If it flags problems, or if you want the page-by-page detail, the severity ratings and the prioritised fix list a developer can act on, that is what the full audit produces. The free check is a screening step, not a substitute for the documented report.
Summary
The audit report is a fix list: it makes a business a stronger, better-documented candidate for citation, and it does not, and cannot, promise one. The free check buys a quick read on where a site stands; the full audit buys the page-level detail needed to actually close the gaps it finds.
Most businesses assume their site is fine because it looks professional and ranks for a few keywords. The audit shows something different: what search engines and AI platforms can actually extract, what structured data is missing or broken, and which fixes carry the most commercial weight.