What an AI visibility audit actually checks
UK SEO Consultant has launched a free AI visibility report that tests whether your business shows up when someone asks ChatGPT, Claude, or Google AI for recommendations in your industry. The tool identifies gaps in schema connectivity and how well your site's code can be extracted by generative bots. Business owners across the UK have used it to discover that they were invisible to AI search despite performing well in traditional Google results.
One locksmith reported that when customers started asking AI bots for emergency recommendations, the business was not appearing. The audit revealed structural code problems that standard SEO tools had never flagged. Another business owner said the 10-second breakdown gave instant clarity on positioning, with actionable guidance on fixing metadata issues. The common thread across these testimonials is that traditional SEO metrics did not predict AI visibility, and the gaps were only visible when tested against the actual models people use.
How generative engines evaluate your brand
Traditional SEO tools measure keywords and backlinks. Generative search works differently. When someone asks ChatGPT which firm to hire, the AI synthesizes a single answer from multiple sources and cites the ones it considers authoritative. Being well-ranked in Google does not guarantee being named in that answer, because the two systems retrieve and evaluate information through different mechanisms.
The audit evaluates three specific areas. First, entity and schema clarity: AI models depend heavily on structured data, specifically Organization, LocalBusiness, and Service schema, so that the engine can explicitly understand what you offer, where you are located, and what role you play in your industry. Without that structured markup, the AI may simply skip your site even if the content is strong. Second, machine-readable architecture: the audit checks how well AI web scrapers and crawlers like GPTBot, ClaudeBot, and PerplexityBot can access, parse, and ingest information from your site without hitting server roadblocks or restrictive barriers like robots.txt rules or aggressive rate limiting. Third, answer-first content formatting: generative engines prefer pages with concise, objective paragraphs that can be extracted, summarized, and displayed inside zero-click summaries such as Google AI Overviews and chat answers. Long-form prose that works for human readers often fails the extraction test because the AI cannot isolate a clear, quotable statement.
Why schema markup matters more for AI than for Google
Schema structured data has been an SEO factor for years, but its importance for AI visibility is qualitatively different. Google can infer entity relationships from context, backlinks, and behavioral signals even when schema is missing. Generative models do not have that luxury. They need explicit, machine-readable signals about what a business is, what it does, and where it operates. The structured data in your HTML is often the only thing the model has to work with when it encounters your site during a crawl.
This means that a business with strong backlinks and good content but incomplete or incorrect schema can rank well in Google and still be invisible to ChatGPT. The audit surfaces exactly this kind of gap: schema that is present but incomplete, schema that is missing entirely, or schema that uses outdated types that the current generation of AI crawlers does not recognize. For local businesses in particular, the LocalBusiness schema and its nested types for services and locations are the difference between being recommended and being ignored.
What the report reveals and how to act on it
The free report runs a 10-second check and returns a visibility breakdown showing where the gaps are. It is not a simulated score or an estimate pulled from historical data. The tool tests your actual site against the actual models that buyers use. The output includes specific findings: which schema types are missing or malformed, which parts of your site are inaccessible to AI crawlers, and which content blocks are formatted in ways that generative engines cannot extract cleanly.
The actionable fix guidance that follows is specific to each gap rather than generic SEO advice. If the issue is missing schema, the report tells you which types to add and where. If the problem is crawler access, it identifies the specific barriers. If the content formatting is the blocker, it shows you which pages need restructuring and what a stronger version looks like. The goal is to move from a general sense that something is wrong to a specific list of changes that improve AI visibility, tested against the models that matter.
What this means for businesses that rely on search
The shift toward AI-driven search is not hypothetical. More buyers are starting their research with a chat interface instead of a search box. When someone asks Claude which accountancy firm handles startups in London, they get one synthesized answer, not a scrollable list. If your firm is not in that answer, you do not exist for that buyer at that moment. The audit is designed to show businesses exactly where they stand in that new landscape, with evidence rather than a guess. The report is free, requires no card, and takes seconds to run, which makes it a low-risk way to understand whether the site you built for Google actually works for the AI systems that buyers now use instead.