AI Search Visibility
Audit UK.
A straight answer for UK businesses asking what an AI search visibility audit covers, what you get back, what it costs, and who needs one. Built from the F&T audit base of 42 commissioned reports across hospitality, professional services, and heritage venues.
If a customer asks Google AI Overviews, Bing-powered ChatGPT, Brave-powered Claude, or Perplexity “who’s the best [your category] in the UK?”, will your business surface? An AI search visibility audit is the structured way to answer that. Not a marketing-deck answer. A measurable, repeatable, before-and-after answer.
Why the question changed.#
In one line Buyers no longer click ten blue links. They read a synthesised answer. The synthesis happens inside an engine that cites sources or doesn’t.For twenty years, the question was “are we ranking on Google?”. The answer determined budget, agency choice, and quarterly board reporting. Two things broke that.
The first is that buyers no longer click ten blue links. They ask a question and read a synthesised answer. The synthesis happens inside an AI engine. The engine cites sources or it doesn’t. If your business isn’t in the cited set, you don’t exist for that conversation, regardless of where you rank on Google.
The second is that there is no longer one engine. ChatGPT, Perplexity, Claude, Gemini, and Brave each draw from a different index or stack of indexes. Ranking on one tells you almost nothing about whether you surface on the others. We covered the structural reason for that in The Multi-Index Problem.
An AI search visibility audit measures both: what each engine knows about you, and what structural signals you’re missing that would change that.
What the audit measures.#
In one line Crawler access, multi-engine indexation, Share-of-Voice, citation graph, Bake-Off readiness. Five dimensions, scored in order.A credible audit covers five dimensions. The order matters.
- AI crawler access. Are GPTBot, ClaudeBot, PerplexityBot, GoogleOther, OAI-SearchBot, Bingbot, Bravebot, and CCBot allowed in your robots.txt? A blocked crawler is an automatic Unlikely verdict for every AI citation query, regardless of content quality.
- Multi-engine indexation. Are you verified in Google Search Console and Bing Webmaster Tools? Does your robots.txt allow Bravebot? Do you implement IndexNow (which notifies Bing, Yandex, Seznam, and Naver, not Brave)? Bing’s index powers ChatGPT Search. Brave’s independent index feeds Kagi, Mojeek, and several privacy-first AI tools. Google alone leaves roughly 60% of the substrate dark.
- AI Share of Voice. A live test of 6 to 12 sector-relevant queries against the public AI answer layer. For each query, score against five citation factors: direct-answer format, named authority, fact density, schema markup, external citation signals. Output: a verdict per query (Likely Cited, Possible, Unlikely) and a count out of 6.
- Citation graph. The third-party hosts AI engines pull from when answering category queries in your sector. Press, directories, comparison sites, Reddit, trade publications. You don’t need to be on every host. You need to be on the high-frequency ones.
- Vendor Bake-Off Readiness. Can an AI compare you head-to-head against a competitor when asked? Pricing must be extractable as HTML text. Features must be in semantic lists or tables. Comparison claims must be supported by specific numbers.
| Dimension | What it measures | Failure mode |
|---|---|---|
| Crawler access | Which AI crawlers your robots.txt and edge-WAF allow through. Read at file level, not at agency level. | Cloudflare WAF default blocks Bingbot or PerplexityBot silently. |
| Multi-engine indexation | Whether you are verified and reachable across Google, Bing, and Brave (the three indexes the major assistants ultimately read). | Bing Webmaster Tools unverified. Bravebot not declared. |
| Share-of-Voice | Live 18-cell grid: six sector-relevant queries across three engines. Each cell scored Likely Cited / Possible / Unlikely. | Cited in 2 of 18 cells. Competitor cited in 11. |
| Citation graph | Third-party hosts (press, directories, comparison sites, Reddit, trade publications) AI engines pull from in your sector. | Brand mentioned on <30% of high-frequency citation hosts vs competitor. |
| Bake-Off readiness | Whether an AI can compare you head-to-head when asked. Pricing extractable, features semantically marked, claims specific. | Pricing hidden behind “contact us.” |
Three canonical engines. Three indexes underneath.#
In one line The 18-cell grid runs against Google AI Overviews, Bing-powered ChatGPT, and Brave. Three engines, three indexes, three different verdicts about who you are.A UK audit in May 2026 tests against three canonical engine families. The choice is not arbitrary; it is the smallest set that covers the three distinct indexes underneath the major AI assistants. We covered the structural reason for that in The Multi-Index Problem.
Perplexity sits beside these three as a hybrid: it runs its own crawler, with third-party search providers layered on top, and tends to weight academic and trade-press sources more heavily than the others. We treat it as a fourth test in higher-tier audits, but the three-engine canonical grid is what holds the floor. Three indexes, three verdicts, one structural answer for whether your business shows up in any of them.
What you get back.#
In one line A diagnostic, not a dashboard. A board can navigate it in a meeting. A junior marketer can implement it on Monday morning.A credible audit is a diagnostic, not a dashboard. The deliverable should answer four questions in plain language:
- Where do we sit today, on each engine, against named queries that matter to our business?
- What single change would move the most queries from Unlikely to Possible or Cited?
- What is this costing us in pounds, modelled against a basket of commercial-intent keywords?
- What is the 90-day order of operations to close the gap?
The format we use at F&T is a five-dimension scored dashboard with a single signature finding at the top, followed by a Top 5 Actions list ordered by Critical / High / Medium and time-to-implement. The point is that a board can navigate it in a meeting and a junior marketer can implement it on Monday morning.
What it costs in the UK in 2026.#
In one line Three settled price points: £250 entry, £500–£1,500 full report, £2,500/yr ongoing. Anything below £250 is usually a free tool with a sales pitch attached.The market has settled into three clear price points:
- £250 entry-level AI search report: AI dimension only, 18-cell SoV test (6 queries across Google AI Overviews, Bing-powered ChatGPT, and Brave), one recommended action. Fast, cheap, useful as a sanity check before a bigger commitment.
- £500 to £1,500 full website intelligence report: five dimensions, named competitors, £-quantified Cost of Inaction, 90-day plan. Where most UK SMEs land.
- £2,500/year annual intelligence plan: quarterly re-scans, drift monitoring, one new audit topic per quarter. For businesses where AI search visibility is now a board-level conversation.
Anything below £250 is usually a free tool with a sales pitch attached. Anything above £15k is usually a multi-entity engagement (parent group plus subsidiaries) or a custom research report.
Who needs one.#
In one line You sell into a category where buyers research first. Traffic is flat. The last SEO audit was pre-2024. Competitors are surfacing on queries you used to own.You need an audit if any of the following are true:
- You sell into a category where buyers research before they call (B2B services, considered consumer purchases, hospitality, weddings, care, professional services, premium retail).
- You’ve noticed organic traffic flatlining or declining in 2025 to 2026 despite no obvious cause.
- Your last SEO audit was before 2024 and didn’t mention crawler access, schema markup, or AI citation factors.
- Your competitors are surfacing on AI answers for queries you used to rank for, and you can’t explain why.
You probably don’t need one yet if you’re pre-revenue, your category is fully offline (most of what surfaces in AI is desk research first), or you already have an internal AI visibility scorecard you trust.
Patterns we see in 90% of UK audits.#
In one line The same five structural failures, in roughly the same order, in nine out of ten reports. Each one is cheap to fix and visibly compounding.From the F&T audit base, the same five findings appear in nine out of ten reports:
- Robots.txt blocks at least one major AI crawler, usually inadvertently, often via a Cloudflare WAF default.
- Pricing is hidden behind “contact us”, which makes Vendor Bake-Off impossible.
- Schema is partial or missing. Organization, Service, FAQPage, BreadcrumbList rarely all present. Article schema on the blog often missing entirely.
- The site is verified only in Google Search Console. Bing Webmaster Tools unverified, and Bravebot status not declared in robots.txt (Brave has no webmaster tools panel; the only on-site lever is the robots.txt allow). Bing powers ChatGPT Search. Brave is the independent index. We covered this in The Multi-Index Problem.
- The brand exists in the third-party citation graph at <30% of competitor frequency, usually because no one has been pitching trade press or directories with sector-relevant data.
The five fixes for these are mostly cheap and mostly fast. The compounding effect is what matters: each one moves multiple queries from Unlikely to Possible. We modelled the maths in The Cost of Not Knowing.
“Your domain ranks for these keywords on Google. Here are 30 on-page recommendations.”
“Here is where you sit in 18 cells across three indexes. Here is the one structural change that moves the most cells. Here is what the inaction is costing in pounds.”
Three composite findings, in the wild.#
In one line Three of the five most-common audit findings, anonymised from sectors we audit most often. Each one shows how the structural failure registers on the 18-cell grid.The composites below are not single brands. Each is drawn from multiple Q1 and Q2 2026 audits where the same failure mode produced the same cell-count pattern.
The Cloudflare WAF default was blocking Bingbot and PerplexityBot via a bot-fight-mode rule the agency had not surfaced to the marketing team. The robots.txt file looked clean. The actual edge response was 403.
One configuration change moved the score from 3 of 18 to 11 of 18 within a fortnight. No content changed.
When asked to compare the brand against two named competitors, every engine refused. Pricing was not extractable as HTML text; it sat behind a form. The competitors were cited with full ranges. The brand was cited as “contact for pricing.”
Publishing an indicative price band in semantic HTML moved Bake-Off cells from 0 to 4.
The club had no presence on the publications Brave’s discovery engine reads. Bravebot was permitted in robots.txt, but the citation graph for the sector pointed at sites the club had never been mentioned on.
Three placements in sector trade press over six weeks moved the score from 0 to 4 cells on Claude.
Three different failure modes, three different fixes, one shared outcome. None of the three brands had spent a pound on new content to get there.
A structured measurement of where you sit, and what to fix first.#
An AI search visibility audit measures where you sit across the five UK-relevant AI engines, what structural signals you’re missing, what it’s costing you in pounds, and what to fix first.
The market in 2026 is £250 for an AI-only sanity check, £500 to £1,500 for a full report, £2,500/year for ongoing. If you want to see what one looks like, the canonical example is the Friction & Toil five-dimension methodology. The pattern repeats across every audit in the base; the specifics differ by sector.
The AI substrate moves every quarter.
A monthly intelligence brief on how AI is changing what UK customers find, and what they don’t. No consultancy noise.
Sources & references
- Google Search Central, Google crawler reference: canonical reference for Googlebot, Google-Extended, and how Gemini grounding pulls from Google’s live index. developers.google.com
- Bing Webmaster Tools, About IndexNow: documentation on the IndexNow protocol (Bing, Yandex, Seznam, Naver) and how Bing’s index ultimately surfaces in ChatGPT Search. indexnow.org
- Brave Search, Bravebot user-agent documentation: how Brave’s independent index is crawled, and what robots.txt entry permits it. search.brave.com/help/bravebot
- Anthropic, Subprocessor list: documentation listing Brave Search Inc. as a third-party search provider for Claude’s web-search capability. anthropic.com/legal/subprocessors
- OpenAI, Bots & crawlers documentation: canonical reference for GPTBot, OAI-SearchBot, ChatGPT-User and the user-agent split between training, indexing, and live retrieval. platform.openai.com/docs/bots
- Friction & Toil audit base, Q1 2026: 42 commissioned Web Intelligence Reports across UK hospitality, professional services, and heritage venues. Source for the “9 in 10” finding cited in the hero stat strip and for the three composite cases in Section VII ½.
- Friction & Toil live re-test, May 2026: 38-brand curl-based crawler-policy and schema scan. Companion evidence for the structural-failure patterns described in Section VII.