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© 2026 BackTier. Jason Todd Wade, Founder.
Get Free AI Audit →Live intelligence briefings on AI visibility infrastructure — generated on demand by Grok. Each briefing covers a specific dimension of how AI systems understand, classify, retrieve, and select entities.
Most e-commerce product pages are invisible to AI shopping agents. Structured data gaps, missing eligibility signals, and non-machine-readable pricing are leaving revenue on the table.
Getting cited by ChatGPT is not the same as being included in an AI agent's consideration set. And neither is the same as being selected. Most brands are stuck at stage one.
AI systems build knowledge graphs from structured signals. If your brand has no canonical entity definition — no JSON-LD Person, Organization, or Service schema — you are a ghost.
llms.txt is not optional. It is the machine-readable instruction layer that tells AI crawlers what your brand is, what it does, and how to represent it in generated answers.
SEO optimizes for link clicks. GEO optimizes for AI extraction. The signals are different, the content structure is different, and the measurement framework is entirely different.
Answer Engine Optimization requires structured FAQ content with FAQPage schema, question-answer pairs that match AI query patterns, and entity-anchored answers that AI systems can extract.
Google's EEAT framework was designed for human evaluators. AI systems apply similar trust logic — but the signals they read are machine-readable: schema, citations, entity corroboration.
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