ChatGPT, Perplexity, Claude, and Google AI Overview are now answering buyers' questions — and recommending competitors instead of you. Find out why. Find out what to fix.
A buyer looking for 'best running shoes for flat feet' used to see 10 blue links. Now they see an AI-generated answer recommending three brands by name — with no link to your store, even if you rank on page one of Google. The buyer clicks one of those three names. You were never visible.
This is not a future problem. AI-assisted search queries now account for a growing share of product discovery in e-commerce. Stores appearing in AI-generated answers receive disproportionate click share because AI answers present as recommendations, not just results. The stores not appearing are losing market share to competitors who optimised for AI indexability.
AI answer systems index your content differently from search crawlers. Structured data, schema markup, content format, authority signals, and brand mention patterns all influence whether an AI system surfaces your store in answers. A store with excellent Google rankings may have zero AI visibility — and vice versa. These are different systems with different inputs.
Complete the intake form. Takes 3 minutes. We confirm receipt within one business day and lock in your delivery date.
Live query testing across all four AI platforms. Schema audit, content structure review, competitor presence documented.
A structured PDF report your developer can act on immediately. Prioritised findings. Specific remediation guidance. No vague direction.
We test your store's visibility across the four primary AI answer platforms and diagnose the specific technical and content barriers preventing you from appearing as a recommended result.
Visibility testing across ChatGPT, Perplexity, Claude, and Google AI Overview
Live query testing across multiple product categories and buyer intent phrases. We document where you appear, where you don't, and which competitors are being surfaced instead.
Brand mention analysis in AI-generated answers
How often is your brand mentioned in AI responses to category queries? We benchmark this against direct competitors and identify the gap.
Schema markup and structured data assessment
Product schema, organisation schema, FAQ schema, and review schema all influence AI indexability. We audit what you have implemented, what is missing, and what is incorrectly formatted.
Content structure analysis for AI indexability
AI systems prefer clearly structured, authoritative, factually dense content. We evaluate whether your product pages, category pages, and supporting content are formatted to be AI-readable.
Competitor presence comparison
A direct side-by-side audit of where your competitors appear in AI answers across the same queries. This identifies the specific optimisations they have made that you have not.
The deliverable is a structured PDF your team can action immediately. Every recommendation is ranked by expected impact on AI visibility. Platform-by-platform results so you know exactly where the gaps are.
Platform-by-platform visibility results
Where you appear and where you don't, across each tested AI platform. Competitor presence documented alongside.
Visibility gap register
Every identified barrier ranked by impact. Schema gaps, content structure issues, and authority signal deficits all listed with specific fix guidance.
Content and technical fix recommendations
Specific changes your developer or content team can implement. Not vague strategic direction — concrete, prioritised actions.
Competitive positioning summary
How your AI visibility compares to direct competitors and what they are doing that you are not.
Price is determined by the number of product categories and the number of platforms assessed. Standard includes all four primary AI platforms.
The advantage window is closing: AI search is growing fast and market share is concentrating around the stores that appear in AI answers first. Quarterly audits are recommended — AI systems update their knowledge and ranking signals regularly. The first audit establishes your baseline and identifies the highest-impact fixes.
Peter Morgan conducts every audit personally. Not a team. Not offshore reviewers. One specialist with a defined methodology and a verifiable output. Audit Gap does not sell software, subscriptions, or retainers. The engagement is a report. The report is the product.
Traditional SEO targets search engine ranking algorithms — PageRank, keyword relevance, backlink authority. AI visibility targets something different: the signals that determine whether an AI system cites your brand when generating an answer to a buyer's question. These systems use structured data, content format, authority signals, and brand mention patterns that differ from Google's traditional ranking factors. High Google rank does not imply AI visibility. Both matter. They require separate analysis.
ChatGPT (GPT-4 and search-enabled queries), Perplexity AI, Claude (Anthropic), and Google AI Overview. These four platforms currently represent the majority of AI-assisted product discovery. Additional platforms may be included as adoption grows.
Frequently. AI systems update their knowledge bases, indexing priorities, and ranking logic on an ongoing basis. A store that appears in AI answers today may not appear next quarter if competitors implement better-structured content. We recommend a quarterly audit to maintain visibility and track changes as AI search evolves.
No. We identify the specific barriers preventing your store from appearing and provide prioritised recommendations for addressing them. Implementation is your team's responsibility. AI systems make independent decisions — we give you the information to influence them, not control them.
Because AI systems do not use Google's ranking signals as their primary input. Strong backlink profiles, keyword-optimised meta descriptions, and PageRank authority do not translate directly to AI answer inclusion. Schema markup, structured content, factual density, and brand authority signals operate differently in AI systems. Many well-SEO'd stores have significant AI visibility gaps precisely because their optimisation work was built for a different system.
No. The audit is conducted on your public-facing site. We assess what the AI systems can see — which is your published, public content. No CMS credentials or analytics access is required.
Complete the intake form. We'll confirm your details and begin within one business day.
Flat fee. One-time engagement. Work starts only after you approve the scope and price. No retainer. No subscription. No surprise invoices.
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Peter Morgan will reach out within one business day to confirm your intake details and lock in your delivery date.