Answer Engine Optimisation isn’t theoretical, it’s already affecting traffic. Sites structured for AI readability are being cited in ChatGPT, Perplexity and Google AI Overviews while traditionally-optimised sites go unmentioned. AI Data Layer gives SEO professionals the infrastructure to deliver AEO as a service.
Your clients trust you to keep them visible as search evolves. The shift from keyword ranking to AI citation is the biggest change in search since mobile. The technical foundations of AEO, entity extraction, structured content registries, machine-readable endpoints, are not things most SEO tools handle. They require a different layer entirely. AI Data Layer is that layer.
AI Data Layer’s entity reports show you exactly which real-world entities are being extracted from a client’s content, and which are missing. That’s an audit deliverable, a gap analysis, and a content brief rolled into one.
Entities are matched to Wikidata QIDs, the same identifiers used by Google’s Knowledge Graph. Building content around verified, grounded entities is one of the clearest paths to topical authority in an AI-first index.
Every site gets an open, unauthenticated MCP endpoint, the protocol AI agents use for structured data queries. This is infrastructure most SEO tools don’t even know exists yet.
See which entities are extracted and which are missing, an audit, gap analysis and content brief in one export.
Entities matched to Knowledge Graph identifiers, the clearest structural path to topical authority in an AI index.
The protocol AI agents use for structured queries, exposed per site, ready to demonstrate to clients.
Manage AEO across a client roster from a single Pro plan. Export entity data into any reporting tool that consumes JSON.
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