Generative Engine Optimization: Get Your Business Cited by ChatGPT, Perplexity, Claude, Gemini
Traditional SEO wins Google rankings. GEO wins AI citations. We engineer your content so the AI engines recommend you by name when prospects ask.
AI search is not coming — it is already here, and most businesses are invisible inside it.
A growing share of US adults now turns to ChatGPT, Claude, Perplexity, or Google Gemini as a default research tool — for product comparisons, "best in city" recommendations, how-to research, and the messy multi-step decisions that used to start with a Google search. Specific share-of-channel numbers vary by source and are still moving fast; the directional trend is unambiguous and accelerating. Users in this segment never click a traditional blue link. They ask a question and they read an answer. If the brand is not in that answer, the brand may as well not exist for that query.
Most business websites are still written and structured for the traditional SERP. Long marketing setups, brand-voice headings, no answer-first paragraphs, missing or wrong schema, no `llms.txt` describing the site for AI crawlers, no brand mentions on the third-party sites (Reddit, Quora, industry publications, Wikipedia, Stack Overflow) that the AI models actually index and retrieve from. The site can rank #1 organically and still be entirely absent from the AI engines' answers, because the AI engines are reading a different corpus than Googlebot.
GEO is the fix. We build the answer-first surface on the site itself, ship the JSON-LD entity graph the engines can extract cleanly, author or rebuild `llms.txt`, layer in the E-E-A-T credentials the engines weight heavily, and run a brand-mention program on the third-party corpora the AI models train and retrieve from — then we measure citation rate monthly, prompt by prompt, and ship the next iteration based on what the engines actually answered with.
- ✕Zero brand mentions when prospects ask ChatGPT for "best [service] in [city]"
- ✕Site content written for human readers but not structured for AI extraction
- ✕No `llms.txt`, no answer-first paragraphs, no schema-rich FAQ block
- ✕No brand mentions on Reddit, Quora, or industry publications — AI models never see the brand
- ✕Author bylines missing or generic — E-E-A-T signals weak across the site
- ✕No measurement of AI visibility — flying blind on a fast-growing channel
- ✕Competitors already cited and stealing buyers before they ever land on a SERP
- ✕Speakable schema missing — voice assistants pick competitors verbatim
- Measurable brand-mention rate across ChatGPT, Perplexity, Gemini, and Claude — tracked monthly
- Answer-first content blocks on every service / category / resource page
- Full schema graph: Organization + Service + FAQPage + HowTo + Article + Speakable + LocalBusiness where applicable
- `llms.txt` synced to the live route registry so AI crawlers can map the site cleanly
- Author credentials, datePublished, dateModified populated sitewide for the E-E-A-T uplift
- Brand-mention surface on Reddit, Quora, Medium, and industry publications — the corpora AI engines train on
- Speakable CSS selectors marked on the answer-first surface for voice-assistant rendering
- Monthly AI-visibility report showing share-of-voice deltas, prompt by prompt
How we run GEO end to end.
- 01
AI visibility baseline
The Free Website Plan identifies the three highest-priority issues. A paid scope can then define a repeatable query set, capture responses and citations, establish a baseline, and document the measurement cadence.
- 02
On-site restructuring
Every key page gets an answer-first hook, question-based H2/H3 headings, fact-dense paragraphs the engines can quote, comparison tables, and explicit entity definitions. The `llms.txt` is authored from scratch or rebuilt to match the live route registry so AI crawlers can map the site cleanly.
- 03
Schema + E-E-A-T expansion
FAQPage, HowTo, Article, Review, Speakable, Organization, and LocalBusiness schema implemented in JSON-LD where applicable. Real author bylines with credentials. Original data, citable frameworks, and freshness signals (datePublished, dateModified) populated across the indexable surface.
- 04
Brand-mention program
Expert contributions on Reddit, Quora, Medium, and industry publications so AI crawlers see the brand in the same context as the competitor citations. Cadence is monthly; targets are the threads, subreddits, and publications the engines actually retrieve from for your niche.
- 05
Monthly visibility report
A plain-English report covering brand-mention rate per AI engine, prompt by prompt; new citations gained; competitor citations the brand displaced; and the queue for the following month. Term and cancellation follow the signed proposal.
Engineered from day one.
`llms.txt` authoring
Complete `llms.txt` cataloging services, locations, and positioning for AI crawlers — synced to the live route registry.
Answer-first rewrites
Every pillar page gets a 40–60-word answer-first hook the AI engines can extract verbatim.
Schema stack
FAQPage + HowTo + Article + Review + Service + LocalBusiness + Speakable, validated in Google Rich Results Test before deploy.
E-E-A-T signal build
Author credentials, datePublished, dateModified, original data, and third-party citations populated across the site.
Brand-mention program
Expert contributions on Reddit, Quora, Medium, and industry publications — the corpus AI engines train on and retrieve from.
AI-visibility tracking
Monthly tracking of brand-mention rate across ChatGPT, Perplexity, Gemini, and Claude — prompt by prompt.
Speakable + voice
Speakable schema + CSS selectors marked on the answer-first surface for voice-assistant rendering.
Plain-English reports
A one-page monthly report a human wrote — what shipped, what moved, what is queued — not a dashboard screenshot.
GEO vs. traditional SEO
Scroll horizontally to review every comparison column.
| Traditional SEO | Generative Engine Optimization |
|---|---|
Goal: rank on Google / Bing page one | Goal: be cited by ChatGPT / Perplexity / Claude / Gemini |
Signals: backlinks, keywords, technical | Signals: E-E-A-T, answer-first structure, entity authority, brand mentions |
Measurement: keyword positions and click-through | Measurement: AI mention rate per prompt, citation share |
Corpus: open web indexed by Googlebot | Corpus: training data + retrieval index across multiple AI engines |
Channel: Google + Bing blue links | Channel: ChatGPT + Perplexity + Gemini + Claude + AI Overviews |
Schema: helpful, sometimes optional | Schema: required — engines extract structured data verbatim |
Brand mentions: nice-to-have backlink signals | Brand mentions: required — they ARE the corpus the engines learn from |