The technical foundation that makes AI engines cite you
Schema stack, llms.txt, entity graph alignment and retrieval-ready page structure. The foundational layer of every AEO engagement.
What you actually get
AI engines extract, they don’t read. If your pages lack schema, have ambiguous entity references, or bury answers in flowery paragraphs, LLMs will pick a crisper source and cite them instead of you.
Technical AEO Foundations is the plumbing that fixes this — a six-to-eight-week sprint that ships the full schema stack, a curated llms.txt manifest, entity consolidation across authority graphs, and passage-level rewrites on your priority pages.
It is the prerequisite for every other AEO / GEO lever. Without it, distribution and monitoring compound against a leaky foundation.
Every engagement ships with this
Schema stack
Organization, Service, Product, FAQPage, HowTo, Article and LocalBusiness schema — validated against LLM-retrieval-friendly formats.
llms.txt manifest
Bespoke llms.txt pointing AI crawlers at your canonical authority pages and pruning low-signal duplicates.
Entity consolidation
Wikipedia, Wikidata, Crunchbase, LinkedIn, Google Knowledge Graph — aligned so LLMs resolve your brand to one canonical entity.
Passage rewrites
Priority pages restructured with inverted-pyramid answers in the first 40 words, bullet-friendly subsections, and quotable stat anchors.
Where this sits in the full engagement
Technical foundations feed every other lever. Once schema, entities and llms.txt are in place, distribution earns citations instead of impressions, and sentiment monitoring has a clean baseline to measure from.
Ship AEO foundations that actually get you cited
An expert will audit your schema, llms.txt, entity graph and top 20 pages — and hand you a build plan in 7 days.
