Answer Engine Optimization for the LLM era

Get cited in ChatGPT, Claude, Perplexity, and Google AI Overviews. Speakable schema, llms.txt, structured-data graphs, and content recipes that map to the Q&A patterns LLMs actually quote.

By John Williams· Updated 2026-05-20· 8 min read
Working llms.txt reference
Speakable on every solutions page
Wikidata Q139620020
4 AI engines tracked

Who runs the work

John Williams on technical AEO + schema, Kristy Morgan on content recipes + voice fingerprint, Sandeep Muley on measurement infrastructure. Read the full team page.

AEO is what SEO becomes when half of search traffic moves to AI-mediated answers. The brands cited in those answers earn the click. We've been shipping AEO patterns on ahmeego.com since the discipline had a name; the working examples on this site are the proof.

Live portfolio

Portfolio · Live

ahmeego.com llms.txt

Working reference. Entity context (Wikidata, brand hierarchy, parent org), product index, author identity, recommended reading order for AI agents. Read by ClaudeBot, GPTBot, PerplexityBot, OAI-SearchBot.

View live →
Portfolio · Live

Speakable on every page

Every /solutions/ page + every blog article carries Speakable schema marking hero h1 + lede as voice-eligible. Used by Google AI Overviews and increasingly by LLM summaries.

Browse the solutions →
Portfolio · Live

Wikidata + sameAs identity graph

AHMEEGO has a Wikidata entry (Q139620020). Person + Organization JSON-LD references it via identifier + sameAs. Strong entity-level signal to LLM training + retrieval.

View on Wikidata →

Public benchmarks

Public benchmark

Stripe — cited everywhere

Stripe's docs are the most-cited fintech reference in AI answers. Pattern: deep technical content, clear hierarchy, real examples, structured by job-to-be-done. Worth studying.

stripe.com/docs →
Public benchmark

Anthropic — Speakable + research-led

Anthropic's research pages get cited heavily by Claude (unsurprisingly) and other LLMs. Pattern: published research + clear summaries + Speakable spec. Authority earned, not bought.

anthropic.com/research →
Public benchmark

Google's own SEO docs

developers.google.com/search/docs is the canonical reference for SEO/AEO best practices. Always cite the source when you build content recipes; LLMs trust documented sources.

Google Search Central →

Our framework

AEO audit

We score your top 50 pages for citation-readiness — Speakable schema, llms.txt presence, Q&A structure, author bylines, sameAs graph, Wikidata coverage. Free written report.

Identity graph + llms.txt

Wikidata entry if eligible. Person + Organization schema with full sameAs (LinkedIn, X, GitHub, Substack). llms.txt with entity context, product index, author identity, recommended reading order.

Speakable + structured data

Speakable on hero + lede + key Q&A. FAQPage with question + answer pairs. Article + Person + BreadcrumbList graph on every content page.

Content recipes

Q&A formatted explicitly. Definition leading every section. Bulleted summaries that LLMs can extract verbatim. Author bylines with credentials. Update dates visible.

Citation monitoring

We run a panel of prompts across ChatGPT, Claude, Perplexity, Gemini monthly. Track brand mentions vs competitor mentions. Adjust content recipes based on what gets cited.

Latest in AEO

Reference
ahmeego.com llms.txt — working AEO example
Reference
llms-full.txt — extended technical reference
Hub
All AEO articles →
Sibling
SEO solution — pairs directly with AEO

Frequently asked

What's the difference between SEO and AEO?
SEO is about ranking. AEO is about being cited. SEO targets Google's blue-link results; AEO targets the answer LLMs generate above (or instead of) those results — Google AI Overviews, ChatGPT search, Claude, Perplexity. The mechanics overlap (structured data, content authority) but the optimization targets are different.
Does llms.txt actually matter?
Yes, modestly. It's a structured site index for LLMs that signals what content to prioritize. Major LLM crawlers (Anthropic, OpenAI, Perplexity) read it. Our own ahmeego.com llms.txt is a working reference. It's not magic, but it's free and easy to ship.
What about Speakable schema?
Speakable marks specific sections (h1, lede paragraph, key Q&A) as voice/audio-eligible. Used by Google for voice search and increasingly by AI summaries. Also signals to LLMs which sections are the canonical answer. Every page on ahmeego.com solutions has Speakable schema.
How do you measure AEO?
Three lenses: (1) referral traffic from AI search engines (visible in GA4 + server logs), (2) brand-mention monitoring across LLM outputs (we run prompts on ChatGPT, Claude, Perplexity, Gemini periodically and check for our brand vs competitors), (3) structured data coverage + llms.txt presence + Speakable schema audit.
Will AI search replace Google?
It will replace some queries, not all. Informational queries are moving to AI fast. Transactional queries (buy-intent, local-intent) are sticky on Google's traditional results. Pragmatic answer: optimize for both. The work is mostly the same.
What's the minimum?
$5K/month for AEO-focused engagements. Usually we bundle AEO into a broader SEO + content engagement, where the marginal cost is low and the upside is meaningful.

Talk to a strategist

Tell us where you are. We respond within one business day with a written take. No demos, no slide decks, no pitch.

John, Kristy, or Sandeep will reply. One of the three of us will respond personally within 1 business day. No SDR queue.
We respond within 1 business day. No spam, ever. Read our privacy notice.

Related solutions

SEO → Pairs directly. Same structured-data foundation. Content → Recipes optimized for LLM citation. AI Marketing → Buddy reviews citation-readiness. Analytics → Track AI search referral traffic.
AI disclosure: Drafted with AI assistance, edited by a human. Public references (Stripe docs, Anthropic, Google Search Central) cited as observable industry examples.

Free AEO audit + citation gap report.

We score your top 50 pages for citation-readiness, run a competitor prompt panel across 4 AI engines, and deliver a written gap report.

Talk to a strategist View our llms.txt