Search & AI
GEO vs. SEO: How to Get Your Brand Cited by ChatGPT, Perplexity and AI Overviews
Buyers now ask AI assistants what to buy and who to hire. Generative engine optimization is how you make sure the answer includes you — accurately.
Key takeaways
- GEO earns citations inside AI-generated answers; SEO earns rankings in search results. They share foundations but weigh signals differently.
- AI systems favor brands that are described clearly and consistently across trusted third-party sources.
- Answer-ready content — direct answers, clear structure, original data — gets cited more often.
- Measure share of answer across a fixed set of prompts, monthly, against competitors.
Search behavior is splitting. Buyers still use Google, but a growing share of research now happens inside ChatGPT, Perplexity, Gemini, Claude, Copilot and Google’s own AI Overviews. These systems don’t return ten blue links. They return an answer — often naming a handful of brands — and many users never click further.
Generative engine optimization (GEO), also called answer engine optimization (AEO), is the practice of earning a place in those answers. Here is how it works and what to do about it.
How GEO differs from SEO
| SEO | GEO | |
|---|---|---|
| Goal | Rank pages in search results | Be cited or recommended in AI answers |
| Unit of success | Position and clicks | Mentions, citations and accuracy |
| Key signals | Relevance, links, technical health | Entity clarity, third-party consensus, citable content |
| Measurement | Rank tracking, Search Console | Prompt testing, share of answer, AI referrals |
The overlap is large. Most AI assistants retrieve information from search indexes and the open web, so a site that is crawlable, fast and authoritative has a head start. But GEO puts more weight on how consistently the wider web describes you — and how easy your content is to quote.
How AI assistants decide what to say
When a model answers a question like “best fractional CMO firms for SaaS” or “which CRM should a 50-person company use,” it draws on two things: what it learned during training, and what it retrieves in real time from search results and trusted sources. Brands that appear repeatedly, in consistent terms, across reputable lists, reviews, publications, forums and their own sites are more likely to be named.
That has a practical consequence: you can’t optimize only your own website. You need to shape the consensus.
The GEO playbook
1. Benchmark your share of answer
Build a list of 30 to 100 prompts your buyers actually ask — category questions, comparisons, “best for” queries and problem-led questions. Run them across the major assistants and record whether you are mentioned, how you are described, which competitors appear and which sources are cited. Repeat monthly.
2. Make your entity unmistakable
Describe who you are, what you sell, who you serve and where you operate in the same plain language everywhere: your homepage, about page, structured data, LinkedIn, directories and press boilerplate. Inconsistency confuses machines as much as people.
3. Publish answer-ready content
- Lead with a direct, quotable answer, then expand.
- Use clear headings that mirror the questions buyers ask.
- Include specifics: definitions, steps, comparisons, criteria and numbers.
- Add original data or frameworks that others will reference.
4. Earn presence in the sources AI trusts
Look at which domains get cited for your priority prompts — review sites, industry publications, comparison articles, community forums — and build a plan to appear there through PR, partnerships, reviews and genuine participation.
5. Make your site machine-friendly
- Server-rendered, fast pages that crawlers can read without executing heavy JavaScript.
- Schema.org structured data for your organization, services, products, FAQs and articles.
- An
llms.txtfile that summarizes your company and key pages. - Robots rules that don’t accidentally block the AI crawlers you want to be found by.
6. For ecommerce: structure your product data
AI shopping experiences rely on clean product feeds and on-page product schema: titles, attributes, prices, availability, reviews. Brands with complete, consistent catalog data are easier to recommend.
How to measure GEO
- Share of answer — the percentage of priority prompts where you are mentioned.
- Position and sentiment — whether you are recommended first, listed among others or mentioned with caveats.
- Accuracy — whether descriptions of your company and products are correct.
- Citations — which of your pages are linked as sources.
- AI referral traffic — visits from assistants, visible in analytics referrer data.
- Branded search lift — people who hear about you in an AI answer often search for you next.
A 90-day GEO plan
- Days 1–15: build your prompt set, benchmark share of answer across assistants and audit how your company is described.
- Days 15–45: fix entity consistency across your site and profiles, add structured data and
llms.txt, and rewrite your most important pages to lead with direct answers. - Days 30–75: publish answer-ready content for priority questions, including one piece of original data or a framework others can cite.
- Days 45–90: pursue presence in the third-party sources AI systems cite for your category — reviews, comparisons, publications and communities.
- Day 90: re-run the benchmark and compare share of answer, accuracy and AI referral traffic.
What not to do
Don’t publish mass-produced content written for machines. AI systems and search engines are increasingly good at recognizing it, and it erodes the trust signals GEO depends on. Don’t chase every prompt either. Focus on the questions your best customers ask on the way to a purchase.