GEO vs SEO: what changes when your buyers ask AI first

More buying journeys now start with a question typed into an AI assistant, not a search box. The assistant reads the web, weighs sources and writes an answer, often naming two or three companies. Generative Engine Optimization (GEO) is the discipline of making sure yours is one of them. It isn't a replacement for SEO. It's what SEO looks like when the results page becomes a conversation.

What GEO actually is

GEO (also called Answer Engine Optimization, AEO, LLM optimization or AI SEO) is the work of getting a brand mentioned, cited and described accurately in AI-generated answers from tools such as ChatGPT, Gemini, Perplexity, Claude, Microsoft Copilot and Google AI Overviews. Where SEO competes for a position on a results page, GEO competes to be the source an assistant trusts enough to quote, or the brand it recommends.

The term comes from a 2023 research paper that set up a benchmark of queries and tested how rewriting source content changed its visibility in generated answers (Aggarwal et al. (opens in a new tab)). Its headline finding, that adding citations, quotations and statistics improved visibility on the benchmark, has been widely repeated. The more durable lesson is subtler: engines reward content that is clear, specific and verifiable, and effects vary by domain.

Why it matters now

In McKinsey's August 2025 survey of US consumers, half said they intentionally use AI-powered search, and 44% of those users called it their primary and preferred source of insight for buying decisions (McKinsey (opens in a new tab)). On Google itself, Pew Research Center found people clicked a traditional result on 8% of visits to pages with an AI summary versus 15% without one (Pew (opens in a new tab)). Fewer clicks, more decisions made inside the answer.

What stays the same

Good GEO is built on good SEO. Many AI answers are grounded in pages retrieved from a search index, so the basics still matter:

• Crawlable, indexable pages. Google states that to appear in AI Overviews and AI Mode, a page needs to be indexed and eligible to show with a snippet, with no extra technical requirements (Google Search Central (opens in a new tab)).
• Technical health. Fast, stable pages, clean site structure, no accidental blocks.
• Helpful, people-first content that genuinely answers the question, shows expertise and cites evidence (Google's guidance (opens in a new tab)).
• Authority. Being referenced by reputable, relevant sites still signals trust, to search engines and to the models that read them.

What changes

• The question is the unit, not the keyword. Buyers ask long, conversational questions with constraints ("under $200", "in Canada", "with free returns"). You need to know which questions lead to revenue.
• Third-party sources matter more. McKinsey's analysis found brands' own sites often make up only 5 to 10 percent of the sources AI search references.
• Clarity beats cleverness. Pages that state facts plainly (who you serve, what you do, where, for how much, on what terms) are easier for a model to use.
• Consistency matters. If your name, services, prices and policies differ across the web, models hedge or get it wrong.
• Accuracy becomes a metric. It's not enough to be mentioned. If an assistant says your shipping is slow, being mentioned hurts.
• Measurement is new. You track mention rate and share of voice per engine across a fixed set of prompts, alongside traffic and leads.

How to measure GEO

1. Build a prompt set of 50 to 150 real buyer questions across category, comparison, problem, policy and brand intents.
2. Run it across the major assistants on a fixed schedule (we use weekly), several runs per prompt, from your customers' location.
3. Record mentions, recommendations, position, attributes, competitors and cited sources.
4. Track rates over time, and add an AI assistants channel in analytics to see referral visits and conversions.

Five things to fix first

1. Write down your prompt set and get a baseline. Know who gets named today, and what is said about you.
2. Remove technical blockers. Check that search and AI retrieval crawlers aren't blocked by robots.txt or your CDN, put key facts in HTML text, and add structured data (Organization, Service or Product, FAQ, return policy). An llms.txt (opens in a new tab) summary is optional and cheap.
3. Publish answer-first pages. Clear service, comparison, pricing, policy and FAQ pages with specifics and evidence, written for the prompts where competitors currently win.
4. Earn the citations. Make sure your profiles, reviews and listings are complete and consistent, and pursue fair inclusion in the sources the engines already cite for your category.
5. Correct the errors. Trace every false claim to its source, fix what you can, publish the correct fact clearly, and watch whether answers change.

Five GEO myths

"You can pay to be recommended." Some engines are experimenting with ads alongside answers, but organic recommendations aren't for sale. Anyone selling guaranteed placement in ChatGPT answers is selling something they don't control.

"Just add llms.txt." It's a reasonable, low-cost addition, but it's a proposal, not a standard the major engines have committed to. It won't fix missing facts, weak reviews or absence from the sources assistants trust.

"AI answers are random, so you can't measure them." Individual answers vary, but rates across a fixed prompt set, run repeatedly on a schedule, are stable enough to track and to show change.

"Publish lots of AI-written content and you'll be quoted." Generic content is exactly what engines have least reason to cite. Specific facts, original data and real expertise are what get quoted.

"GEO is only for ecommerce." B2B and service businesses are researched in AI assistants too: "best payroll software for a 20-person company", "top accounting firms in Vancouver for startups". The levers are the same: clear facts, comparisons, evidence and presence in trusted directories and publications.

Run them as one program

Treating GEO as a separate silo wastes effort. The same work serves both: a clear comparison page can rank in Google and get quoted by Perplexity; a strong review profile helps local SEO and AI recommendations alike; a genuine piece of research earns links and citations. The practical difference is what you measure and how much attention you give to sources you don't own.

In practice that means one shared plan: one prompt and keyword map, one content calendar, one list of priority third-party sources, and one scorecard that shows organic traffic, AI visibility and the leads or revenue they produce side by side, reviewed together every month.

The bottom line

GEO is not a replacement for SEO, paid media or brand. It is a new surface where all three show up. Companies that plan them together, and measure them together, will be the ones assistants recommend.

Frequently asked questions

Go deeper with our playbook on how to get ChatGPT and Perplexity to recommend your brand, or the AI visibility checklist for ecommerce. If you'd like to know where you stand today, get a free AI visibility audit.