GEO playbooks by industry
Generative Engine Optimization tactics tailored to your category. Pick yours below — each guide is a complete playbook with quick wins, common mistakes, AI-engine-specific notes, and an FAQ.
GEO for SaaS
For founders and growth teams at B2B SaaS companies.
Buyers now research tools by asking ChatGPT and Perplexity for shortlists before they ever visit a vendor's site. If you're not cited, you're not on the list — and your competitors who are cited get an unfair share of the warm pipeline.
GEO for E-commerce
For online retailers and DTC brands.
Shoppers ask AI for product recommendations the way they used to read reviews. Product schema and clear brand signals make you a default answer in those AI shortlists — and that traffic converts higher than paid social.
GEO for Healthcare
For clinics, hospitals, and digital health brands.
Patients increasingly ask AI before booking a consultation. Authoritative, well-cited content with proper medical schema keeps you visible and trustworthy — and gets your clinic named in 'best in [city]' answers.
GEO for Finance
For fintechs, banks, and financial advisors.
Finance is a YMYL category — AI engines lean on signals of authority, regulatory compliance, and clarity. GEO is how you supply those signals so your brand becomes the trusted recommendation.
GEO for Legal
For law firms and legal-tech companies.
Most legal queries start with a question, not a brand. Answer-first content with structured data and clear jurisdiction wins citations in AI responses — and AI citations convert better than paid search clicks for legal services.
GEO for Real Estate
For agents, brokerages, and proptech.
Buyers ask AI for neighborhood research, price trends, and agent shortlists. Local schema and fresh market data are the differentiators between the brokerages that get named in AI answers and the ones that don't.
GEO for Education
For schools, bootcamps, and EdTech.
Prospective students compare programs through AI before filling a single form. Outcome data and curriculum clarity drive citations — and citations drive applications.
GEO for Travel
For OTAs, hotels, and tourism boards.
Travelers plan entire trips inside ChatGPT and Perplexity. If your destination guide isn't structured for AI, you lose direct bookings to whoever's content is — usually the OTAs.
GEO for Marketing Agencies
For agencies and consultants.
Clients search for agencies the way they search for SaaS — via AI. Case studies, methodologies, and clear positioning all need to be machine-readable for your agency to surface in those AI shortlists.
GEO for Developer Tools
For DevTool and DevRel teams.
Developers ask AI for tooling recommendations and code snippets that include vendor names. Clean docs + llms.txt = citations in code answers — and citations in code answers are how new DevTools win mindshare today.
GEO for Non-profit
For non-profits and NGOs.
Donors vet causes through AI. Transparent financials and impact metrics in structured data drive trust and conversions — and AI cites whoever publishes them most clearly.
GEO for Restaurants
For restaurants and food brands.
Diners use AI for recommendations, menus, and reservations. Local + Restaurant schema make you discoverable in AI map answers — and AI map answers convert into walk-ins and reservations.
What every GEO playbook covers
Skim in five minutes, ship in an afternoon.
Why it matters
Buyer behavior that makes AI search a top-of-funnel channel in your industry.
Top AI questions
Prompt templates you should target on landing pages and FAQ blocks.
Engine breakdown
How ChatGPT, Gemini, Claude, Perplexity each behave in your category.
Content strategy
Page types and schema combinations that win citations in your vertical.
Quick wins
Five things you can ship this week that move AI visibility immediately.
Common mistakes
Silent killers we see over and over in audits.
GEO vs classic SEO at a glance
| Dimension | Classic SEO | GEO |
|---|---|---|
| Optimization target | Ranked list of 10 blue links | Single synthesized answer with citations |
| Primary KPI | Position + organic clicks | Mention rate + cited URL stability |
| Schema priority | Optional, helps rich results | Mandatory — verifies facts for engines |
| Crawler permissions | Set and forget | Strategic decision per AI bot |
| Content shape | Keyword-rich, broad | Answer-first, definitive, quotable |
| Root files | robots.txt + sitemap.xml | + llms.txt, ai-plugin.json |
Run them as one program. Every page should pass classic SEO checks first, then layer GEO signals on top. They compound: FAQ schema helps both AI Overviews and Google rich results.
The five universal primitives
Before opening your industry's playbook, ship this layer. If any of these is broken, no amount of industry tuning will rescue your visibility.
Crawlable HTML
Server-rendered or pre-rendered. Pages requiring client-side JS to display main content are invisible to most AI crawlers. Confirm with curl that top pages return real copy.
Honest, AI-aware robots.txt
Explicit allow rules for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended. A wildcard Disallow: / for * blocks them all — the most common silent killer.
Organization JSON-LD site-wide
One block in your layout naming brand, URL, logo, social profiles. Gives every engine a verified entity to attach citations to.
Live llms.txt at the root
Short, opinionated, kept up to date when URLs change.
FAQ JSON-LD on highest-intent pages
Pricing, home, top three landing pages, most-trafficked posts. Four to eight real Q&A pairs each, in your buyers' language.
Get the files in place first
The journey has quietly inverted
A buyer opens ten browser tabs from a Google SERP and triangulates across vendor websites and review sites.
The same buyer opens ChatGPT, types "best X for Y under $Z," and gets a synthesized answer with 3–5 named brands. If you're not in it, you're not in the consideration set.
How to measure GEO without a perfect dashboard
Nobody hands you a "ChatGPT citation count." The stack you actually use is scrappy — and good enough.
Manual prompt tracking
Pick 15 buyer prompts. Run weekly in ChatGPT, Gemini, Claude, Perplexity. Log brand appearances, cited URLs, and how your brand is described.
Referrer analytics
ChatGPT, Perplexity, and Claude send identifiable referrers. Filter analytics — AI traffic breaks out as its own channel.
Brand-mention monitoring
Weekly: 'what is [brand]?' and 'who are alternatives to [brand]?' The description and alternatives list change faster than you'd expect.
Server logs for AI crawlers
Filter access logs for GPTBot, ClaudeBot, PerplexityBot, Google-Extended. Frequency and fetched URLs tell you if your llms.txt is working.
See your industry GEO score in 60 seconds
OptimAIze scans your whole site against the playbook for your industry and hands you a prioritized fix list — free, no signup.
Run a free scanFrequently asked questions
What is GEO?
GEO (Generative Engine Optimization) is the practice of structuring a website so it gets retrieved, quoted, and cited by AI search engines like ChatGPT, Gemini, Claude, and Perplexity. It builds on classic SEO — same crawlable HTML, same schema.org, same fast pages — and adds AI-specific signals like llms.txt, FAQ/HowTo JSON-LD, and explicit AI-crawler permissions in robots.txt.
Why are industry-specific GEO playbooks better than generic guides?
Because the questions buyers ask are domain-specific. 'Best SaaS for X' is answered with comparison pages and SoftwareApplication schema; 'best clinic for Y in [city]' is answered with MedicalClinic + LocalBusiness schema and credentialed author bios. The technical foundation is shared; the priority list of fixes is not. Industry guides tell you which 20% of the work moves 80% of your AI citations.
How long does GEO take to show results?
Most AI engines re-ingest popular pages within 2–6 weeks. Pages with strong internal linking and existing organic traffic update fastest. Brand-new pages may take a full quarter before they show up in citations. Track weekly — the trend matters more than any single snapshot.
Do I need to change my tech stack to do GEO?
Almost never. GEO is mostly about three additions: a Markdown llms.txt at your domain root, a few new JSON-LD blocks in your existing page templates, and a handful of allow-lines in robots.txt for AI crawlers. Every CMS we cover in our llms.txt guides can do it without a re-platform.