Answer Engine Optimization (AEO) — get cited in ChatGPT, Claude, Perplexity & Gemini
We re-architect your site so answer engines can reliably ingest, retrieve and cite you. Schema, entity graph, llms.txt, passage optimisation — the full technical foundation for AI visibility.
How Answer Engine Optimization changes the answer AI engines give
AI engines do not “read” your site — they extract. If your answers are buried in fluffy prose, the LLM will pick a crisper source and cite them instead of you. AEO engineers your content for extractability.
We implement structured data (Organization, Service, FAQPage, HowTo, Article, LocalBusiness, Product), publish an llms.txt manifest, restructure passages to lead with a direct answer in the first 40–60 words, and align your entity graph across Wikipedia, Wikidata, Crunchbase, LinkedIn and Google Knowledge Graph.
The result is measurable. Within 60–90 days of a clean AEO implementation, answer-share across ChatGPT, Perplexity and Gemini typically lifts 2–4×. Within 6–12 months, as retrieval corpora re-index, that compounds.
What changes the day you engage us
Without Answer Engine Optimization
- Buried in long prose LLMs skip over
- No Schema — invisible to retrieval
- Entity ambiguity on Wikidata / Knowledge Graph
- Competitors cited alongside you, not you
- No baseline on answer-share across engines
- No correction path when LLMs misrepresent you
With Taptwice Media
- Direct-answer passages in the first 40 words
- Full schema stack (FAQPage, HowTo, Service, Org)
- Entity consolidation across all authority graphs
- Your brand cited first in priority queries
- Weekly answer-share + source-share scorecard
- Correction workflow when hallucinations appear
Every Answer Engine Optimization engagement ships with this
Schema stack
Organization, Service, FAQPage, HowTo, Article, LocalBusiness + Product schema — all validated against retrieval-friendly formats.
llms.txt manifest
Custom llms.txt file pointing AI crawlers at your most authoritative canonical pages and pruning the noise.
Entity graph
Wikipedia, Wikidata, Crunchbase, LinkedIn, Google Knowledge Graph — aligned so LLMs resolve your brand to one canonical entity.
Passage optimisation
Rewrites that lead with the answer, use bullets and tables, and cite original data — the formats LLMs prefer to quote.
Engineering-grade AEO, not rebranded SEO
Most agencies selling “AEO” are rebranded SEO shops adding FAQ schema to blog posts. Real AEO is an engineering discipline: retrieval-aware content architecture, entity-resolvable authority, and continuous measurement of answer-share.
Taptwice Media pairs technical AEO implementation with authority distribution through our sister brand Taptwice Global — GlobeNewswire, ANI, PRNewswire — so your narrative lands in the corpora LLMs actually retrieve from.
Questions founders ask before they engage
What is AEO (Answer Engine Optimization)?
AEO is the practice of engineering your brand’s digital presence so answer engines — ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews — reliably retrieve and cite you.
How is AEO different from SEO?
SEO optimises for ranking in a list of links. AEO optimises for being cited as a source inside an AI-generated answer. Techniques overlap on schema and content structure, but AEO adds llms.txt, passage-level work, entity alignment and answer-share measurement.
How long before we see results?
Baseline lift in answer-share typically appears within 60–90 days once schema, entity and llms.txt work is live. Distribution-driven lifts compound over 6–12 months.
Is this just FAQ schema on a blog?
No. FAQ schema is the surface. Real AEO is retrieval architecture: canonical entity resolution, passage chunking, co-occurrence with authority sources, and llms.txt.
Engineer your AEO foundations
An expert will audit your schema stack, llms.txt, entity graph and top 20 pages. You get a baseline and a prioritised fix list in 7 days.
