Most 'AEO providers' are just SEOs repackaging old tricks. Here’s the real story:
Forget the hype about overnight visibility in AI answers. True answer engine optimization requires building structured knowledge that AI systems can actually reference and cite. That means technical depth—structuring data in JSON-LD, optimizing for entity relationships, and developing MCP servers that serve authoritative, verified answers. Most agencies? They’re still treating AI like a giant keyword-based search engine.
The core disconnect lies in intent. Traditional SEO chases traffic; AEO builds authority within the AI’s knowledge graph. If your provider doesn’t understand entity resolution, semantic schema, or how AI models source and validate information, they’re not optimizing for answers—they’re just shouting into the void. They might get lucky with surface-level mentions, but sustainable citation requires being a trusted source in the AI’s underlying architecture.
Demand proof. Ask how they structure your data for ingestion into Claude, Gemini, or ChatGPT’s knowledge bases. Real AEO means working with the infrastructure that feeds these models, not just the front-end interface. If their playbook lacks MCP server development or granular entity mapping, find someone who understands the machine. That’s where visibility actually lives.
(kre8on.com)
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