ANSWER ENGINE OPTIMIZATION
The complete guide to getting cited by AI.
In 18 months, half of consumer search will happen inside AI answer boxes. If your business isn't cited in those answers, you're invisible. Here's the full playbook we use to fix that.
1B+
ChatGPT users
47%
Google AI Overview coverage
4–6wk
first new citations
8 / 8
AEO levers we ship
01 · DEFINITION
What is AEO?
Plain English: AEO is the discipline of getting your business cited and quoted inside AI answers — ChatGPT, Claude, Perplexity, Google AI Overviews. It’s SEO’s younger sibling, optimizing for a layer of search that didn’t exist two years ago.
Technical: AEO is the practice of structuring, distributing, and signaling your content so that large language models — both at training time and at retrieval time — can identify, parse, and quote your business as an authoritative source for a query.
| Dimension | SEO | AEO |
|---|---|---|
| Surface | Google's 10 blue links | AI answer boxes (ChatGPT, Perplexity, AI Overviews) |
| Outcome | Clicks to your site | Citations + brand mentions in AI answers |
| Signal | Backlinks, content, technical health | Entity definition, schema, structured quotable content |
| Speed | 60–90 days first movement | 4–6 weeks first citations |
| Measurement | Rankings + organic traffic | Citation rate + share-of-voice in AI answers |
02 · MECHANICS
How LLMs decide what to cite.
01
Training data
LLMs are trained on a snapshot of the public web. If your content existed at training time and was indexed in a quotable shape, it lives inside the model permanently. Best for foundational entity work.
02
RAG / live search
ChatGPT, Perplexity, and Google AI Overviews increasingly do live retrieval before answering. They re-rank the live web in real time. Freshness and structure win here.
03
Structured data
FAQ schema, HowTo schema, and Organization schema act as direct quotable blocks. LLMs preferentially pull from structured data because it's pre-parsed.
03 · THE WORK
The 7 AEO levers we pull.
Entity optimization
Make sure ChatGPT, Claude, and Perplexity know what your business actually does, who you serve, and what you specialize in — across the canonical web.
What we do
Audit your entity graph, fix Wikidata + Wikipedia presence, align your About / Services pages with the entity definition LLMs already have.
Schema markup
Structured data is the most reliable signal you can send to an LLM. Organization, LocalBusiness, Service, FAQ, HowTo, Article — each one is a quotable hook.
What we do
Implement the full schema stack across every page that matters, validate it, and monitor it for drift.
llms.txt strategy
A growing convention — a markdown index of your site optimized for LLM ingestion. We design yours to surface the answers you want quoted.
What we do
Build, host, and maintain llms.txt and llms-full.txt with the precise content blocks we want LLMs to pull from.
Citation harvesting
LLMs cite sources they trust. Trusted sources are mostly other people's content that quotes you. So we get you quoted.
What we do
Outreach for guest contributions, podcasts, expert quotes, and listicle inclusion across high-authority publications.
Content structure
LLMs chunk and quote. They reward clear definitions, TL;DR boxes, numbered lists, and unambiguous prose. We write so we get pulled.
What we do
Restructure existing content and produce new content engineered for quotability — explicit entity anchors, clean Q&A formatting, comparative tables.
Freshness signals
LLMs increasingly prefer recent content, especially for queries with a time dimension. Stale = invisible.
What we do
Regular content refresh cadence, datestamping, public changelogs on key pages, and freshness-pinging via sitemaps.
Authority graph
The web of links, citations, and brand mentions that LLMs use to triangulate trust. Bigger and cleaner = more cited.
What we do
Targeted link building, digital PR, brand-mention monitoring, and disavowal of anything that's pulling you down.
04 · TIMELINE
Our AEO process.
Audit
Map current citation footprint, entity definition, and schema coverage. (Week 1)
Roadmap
Prioritize the 7 levers by impact and shipping speed. (Week 2)
Execute
Ship schema, llms.txt, entity content, and outreach in parallel. (Weeks 3–12)
Monitor
Monthly prompt-suite check across ChatGPT, Perplexity, Claude. (Ongoing)
CASE STUDY
Mori Medical: 47 AI citations in 6 weeks.
We started with an empty AI footprint and a clean schema deficit. Six weeks in, Mori Medical appears in ChatGPT and Perplexity for 47 distinct queries across their service lines.
0
citations
0wk
time to first
0/8
schema types shipped
AEO QUESTIONS
What people ask before signing up for AEO.
AEO is a stack: entity definition, schema markup, llms.txt strategy, content structure that LLMs can chunk and quote, citation harvesting in third-party sources, freshness signals, and an authority graph. We don't pick favorites — we work the whole stack.
Yes. We run a monthly prompt suite of 30–80 brand-relevant queries across ChatGPT, Perplexity, Claude, and Google AI Overviews and log whether your brand appears, in what context, and against which competitors. You see the full transcript log.
We've seen first new citations within 4–6 weeks of starting work, with material growth in 8–12 weeks. AEO moves faster than traditional SEO because LLMs reindex evidence weekly, not quarterly.
No. LLMs cite the clearest source, not just the biggest one. Small businesses with sharp entity definitions and good schema regularly outrank Fortune 500s in AI answers. That's the opportunity.
No. The work overlaps heavily. Strong entity definitions, schema, and content structure improve both rankings and citation rates. AEO is additive, not a tradeoff.
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