Last updated: 14 October 2026
An AI visibility audit is a systematic check of how ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini and Microsoft Copilot describe, cite or ignore a brand when asked relevant questions. It matters because 96% of B2B companies fail to appear in AI discovery at all, according to the 2X AI Visibility Index, leaving most UK businesses effectively invisible in this channel.
Key Takeaways
- 96% of B2B companies fail to appear in AI discovery, and only 4.3% appear at the early-funnel, top-of-consideration stage, according to the 2X AI Visibility Index.
- Only 16.7% of sources cited in Google AI Overviews overlap with page-one organic search results, meaning ranking well on Google no longer guarantees an AI citation, per Yotpo.
- Google AI Overviews now appear on 48% of all tracked search queries, making them a mainstream discovery surface rather than a niche feature, per Yotpo.
- AI visibility is volatile: only around 30% of brands stay visible from one regeneration of the same prompt to the next, according to MADX Digital.
- A standalone AI visibility audit typically costs between $99 and $1,500, with enterprise-scale audits quoted separately, according to Visible Pilot.
What is an AI visibility audit?
An AI visibility audit is a structured assessment that tests how generative AI systems — ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini and Microsoft Copilot — represent a brand when users ask relevant questions in its market. The audit records whether a brand is mentioned at all, how accurately it is described, which competitors appear instead, and which sources the AI cites as evidence.
This differs from watching a keyword ranking. Google AI Overviews answer questions with a synthesised summary drawn from multiple sources, and now appear on 48% of all tracked search queries, per Yotpo. An AI visibility audit tests that synthesis layer directly, running a defined set of prompts across each engine and logging exactly what comes back — brand mentions, citation sources, sentiment, and share of voice against named competitors.
Jason Patel, CEO and Co-founder of Open Forge AI, frames the distinction plainly: "An SEO audit is about rankings, and an AEO audit is about seeing where you show up." AEO, or answer engine optimisation, is the practice of structuring content so it gets selected as a direct answer inside tools like ChatGPT and Perplexity, rather than simply ranking on a search results page.
Why does a business need an AI visibility audit, not just an SEO audit?
A UK business needs an AI visibility audit because traditional SEO metrics no longer predict whether AI engines will cite or recommend that business. Only 16.7% of sources cited in Google AI Overviews overlap with page-one organic results, according to Yotpo, and BrightEdge's analysis, cited via Axis Intelligence, puts pure AI Overview citation overlap even lower, at 17% from organic top-10 pages. A business can hold position one on Google and still be entirely absent from the answer an AI gives.
The commercial stakes are rising fast. GenAI chatbots are now the top source influencing B2B vendor shortlists, cited by 17.1% of buyers, ahead of review sites (15.1%) and vendor websites (12.8%), according to the G2 Buyer Report via Cintra (2026). Google AI Overviews have also grown from 13.14% to 25.11% of all Google searches based on an analysis of 21.9 million queries, according to Conductor/Superlines (2026) — a trend that means businesses delaying an audit are competing against rivals who already have a head start on citations. Trevin Shirey, VP of Marketing at WebFX, sums up the risk: "Most companies have no idea how AI tools describe or represent their brand."
How is an AI visibility audit different from a standard SEO audit?
An AI visibility audit tests generative answers, while a standard SEO audit tests search rankings — two related but separate systems that require different diagnostic tools. A conventional SEO audit checks crawlability, backlinks, page speed, keyword rankings and technical health using tools such as Google Search Console (GSC), Google's free platform for monitoring a site's search performance. An AI visibility audit checks whether an AI model mentions the brand, how it phrases that mention, and which competing brands it names instead.
| Dimension | Traditional SEO audit | AI visibility audit |
|---|---|---|
| Primary output | Ranking position, click-through rate | Brand mention, citation, sentiment, share of voice |
| Data source | Google Search Console, rank trackers | Direct prompts run against ChatGPT, Gemini, Perplexity, Copilot, Claude, AI Overviews |
| Volatility | Relatively stable week to week | Only ~30% of brands stay visible between prompt regenerations (MADX Digital) |
| Overlap with organic rankings | N/A | Just 16.7% citation overlap with page one (Yotpo) |
| Typical cadence | Quarterly | Monthly or continuous monitoring, given volatility |
Both audits remain necessary. Structured data, page authority and clear on-page content still feed AI training and retrieval, so a business shouldn't abandon SEO — it should add AI visibility tracking on top of it.
What specific things does an AI visibility audit check?
An AI visibility audit checks brand mentions, source citations, structured data, sentiment and competitor share of voice across every major AI engine tested. Each element answers a different question about how discoverable and trustworthy the brand appears to a language model.
The core checklist typically covers:
- Brand mention frequency — how often the brand appears across a defined prompt set, and at which funnel stage (awareness, consideration, decision)
- Citation sources — which web pages, review sites or directories the AI references as evidence when it mentions the brand
- Structured data implementation — Schema.org markup (Organization, Product, FAQPage, Review) that helps AI crawlers parse a site's content accurately
- Sentiment and accuracy — whether descriptions are positive, neutral, negative, or simply factually wrong
- Competitor comparison — which named rivals appear instead of, or alongside, the audited brand
- Content gaps — questions in the prompt set where no vendor is named at all, representing open market share
Lisa Cole, Chief Marketing, Product, and AI Officer at 2X, put the underlying stakes this way: "AI is increasingly shaping perception, trust, and vendor shortlists. If your brand isn't present in those conversations, you're effectively invisible to a growing portion of the market."
How do you carry out an AI visibility audit step by step?
Carrying out an AI visibility audit means running a defined list of buyer-intent prompts against each major AI engine, logging every mention and citation, and repeating the exercise to test consistency. The process typically follows five stages.
Step 1: Build the prompt set. List 20-50 real questions a prospective customer might ask, covering informational ("what is..."), comparison ("best X for Y") and transactional ("who should I use for...") intent. A prompt is what a buyer actually wants expressed as a full sentence, not just a keyword typed into a search box.
Step 2: Run prompts across each engine. Test ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini and Microsoft Copilot individually, since each draws from different indexes and training data.
Step 3: Log every mention and citation. Record whether the brand appears, its position in the answer, the exact wording used, and which URLs the AI cites as sources.
Step 4: Repeat the test. It's worth running the same prompts again after a few days, since only around 30% of brands stay visible from one regeneration to the next, per MADX Digital.
Step 5: Benchmark against named competitors and identify the specific content or structured-data gaps causing under-representation.
Lauren Dawkins, Head of Content at Aether AI, describes the mindset this way: "Start by seeing yourself the way the machines do. Run an audit of the questions that matter in your market and note who gets named instead of you. That gap list is your content strategy — everything else is decoration."
Which AI platforms should the audit cover?
An AI visibility audit must test ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini and Microsoft Copilot separately, because each platform draws on different data sources and produces different answers to the same question. Testing only one engine — usually ChatGPT, as the most familiar — gives a dangerously incomplete picture.
- ChatGPT (OpenAI) — draws on training data plus live browsing via Bing in paid tiers; widely used by UK professionals researching suppliers
- Google AI Overviews — appears directly in Google search results on 48% of tracked queries; pulls citations that only 16.7% of the time overlap with page-one organic rankings
- Perplexity — an answer engine built around live citations, making it especially sensitive to structured, well-sourced content, and known for surfacing new sources faster than other engines
- Microsoft Copilot — integrated into Bing, Windows and Microsoft 365, drawing heavily on Bing's index
- Google Gemini — Google's conversational model, increasingly surfaced inside Workspace and Android
- Anthropic's Claude — growing in enterprise and technical audiences, with a more conservative citation style
Aether AI's own platform tracks citations across exactly these six engines for this reason — a brand invisible on one but visible on another still needs work.
What does it cost to act on an audit's findings — agency, software or DIY?
An AI visibility audit identifies gaps; closing them costs anywhere from $29 a month for self-service monitoring software to $50,000+ a month for a full enterprise agency retainer. The right route depends on the scale of the gaps the audit surfaces, not on buying the most expensive option by default.
Full agency GEO (generative engine optimization) services run $1,500 to $50,000+ per month, against $10-$1,000+ per month for DIY tools and self-service AI visibility software, according to WebFX (2026). Stackmatix (2026) breaks agency proposals into three tiers:
| Tier | Typical monthly cost | Best suited to |
|---|---|---|
| Small Business | $2,000-$5,000 | Single-site SMEs, local service businesses |
| Mid-Market | $5,000-$15,000 | Multi-location or B2B brands with competitive queries |
| Enterprise | $15,000-$30,000+ | National or multi-brand organisations |
AI brand monitoring software sits between a one-off audit and a full agency retainer, running recurring prompts on a schedule rather than producing a single report. WP SEO AI (2026) puts pricing at $29 to $10,000+ per month, with Edenrank (2026) clustering spend into SMB ($500-$1,000/month), mid-market ($1,500-$5,000/month) and Enterprise ($8,000-$50,000+/month) bands.
How much does an AI visibility audit itself cost in the UK?
An AI visibility audit typically costs between $99 and $1,500 for a standalone, fixed-price service, with fully bespoke enterprise audits quoted separately, according to Visible Pilot. UK pricing broadly mirrors this range when converted, though agencies often bundle audits into larger GEO retainers rather than selling them alone.
| Audit type | Typical price range | What's included |
|---|---|---|
| DIY / self-service tool | Free–$99 | Automated prompt testing, basic citation report |
| Standalone fixed-price audit | $99–$500 | Manual + automated testing, competitor benchmark, written report |
| Comprehensive agency audit | $500–$1,500 | Full six-engine testing, structured data review, prioritised action plan |
| Enterprise / ongoing monitoring | Quoted separately | Continuous tracking, multiple brands or markets, dashboard access |
Businesses evaluating cost should weigh a subscription-based monitoring tool against a single fixed-price report, since a one-off snapshot has a short shelf life given how quickly AI visibility shifts.
Who should commission an AI visibility audit in a UK business?
Marketing leadership — typically a CMO, Head of SEO, or Head of Content — should commission an AI visibility audit, because the findings affect content strategy, PR and structured data simultaneously. In smaller UK businesses, this responsibility often sits with a founder or a single in-house marketer managing both brand and demand generation.
The audit's outputs cross departmental lines. Content teams need the gap list to write new material; technical or web teams need to implement structured data fixes such as Schema.org markup; and PR teams need to know which third-party sites the AI engines cite, since earned coverage on those sites often drives citations more than owned content does. In regulated sectors such as finance or healthcare, a compliance reviewer is often looped in too, to check that AI-generated claims about the brand are accurate.
Businesses without a dedicated SEO function shouldn't wait to build one before starting. A founder or marketing generalist can run a basic manual audit within an afternoon, then use a self-service platform to automate ongoing tracking once the initial gaps are identified.
What common mistakes do businesses make with AI visibility audits?
Businesses most commonly run an AI visibility audit once, treat it as finished, and then miss the shift when visibility changes weeks later. A single snapshot audit goes stale fast given the volatility already described above.
Other frequent errors include:
- Testing only ChatGPT and assuming results generalise to Gemini, Perplexity or Copilot, when each engine cites different sources
- Ignoring Google AI Overviews despite their presence on 48% of tracked queries (Yotpo)
- Assuming Google rankings guarantee AI citations, when only 17% of AI Overview citations come from organic top-10 pages (BrightEdge via Axis Intelligence)
- Skipping structured data implementation after the audit, so identified gaps are never actually closed
- Auditing brand terms only, missing the category and comparison questions where prospects actually discover new vendors
- Signing a long agency contract with no defined deliverables, treating GEO/AEO work as a vague add-on rather than a discipline with its own reporting
Trevin Shirey of WebFX warns against complacency: "Brands can no longer afford to treat AI like it's just a trend."
Your AI visibility audit checklist
- Build a prompt list of 20-50 real buyer questions covering informational, comparison and transactional intent
- Test every prompt across ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini and Microsoft Copilot
- Log brand mentions, exact wording, sentiment and cited source URLs for each answer
- Repeat the same prompts after several days to check for volatility
- Benchmark results against named competitors appearing in the same answers
- Audit existing structured data (Schema.org markup) and fix gaps the audit surfaces
- Set a recurring monitoring schedule rather than treating the audit as a one-off report
- Assign clear ownership across content, technical and PR teams for closing identified gaps
FAQ
What is an AI visibility audit?
An AI visibility audit is a structured test of how AI engines such as ChatGPT, Google AI Overviews and Perplexity mention, describe and cite a brand in response to relevant buyer questions. It logs mention frequency, citation sources, sentiment and competitor share of voice across each platform tested.
How much does an AI visibility audit cost?
A standalone AI visibility audit typically costs $99 to $1,500, with enterprise or continuous-monitoring audits quoted separately, according to Visible Pilot. UK pricing generally falls within this range, though many agencies bundle audits into broader GEO retainers.
How long does an AI visibility audit take?
A basic manual audit covering a handful of prompts across major engines can be completed in a single afternoon. A comprehensive audit covering 20-50 prompts across six engines, with a written report and prioritised action plan, typically takes one to two weeks.
Should I hire an agency or buy monitoring software instead of a one-off audit?
It depends on the scale of the gaps the audit surfaces: an AI search marketing agency ($1,500-$50,000+ per month, per WebFX, 2026) suits businesses needing content restructuring and technical work done for them, while AI brand monitoring software ($29-$10,000+ per month, per WP SEO AI, 2026) suits teams that want to track change themselves after fixing the gaps in-house.
Checking your AI visibility with Aether AI
An AI visibility audit only answers "where do I stand today" — closing that gap means ongoing tracking, which is what Aether AI's self-service GEO platform provides from a single dashboard across ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini and Microsoft Copilot. Aether AI writes and publishes content for UK brands in security, facilities, software and branding, including the platform itself, using the same engine behind this dashboard.
Run a free AI visibility audit at Aether AI's /audit to see how your brand appears across all six engines today, then explore Aether AI's pricing to find a matching plan.