GEO vs. SEO: same web, different game
For twenty years the game was to rank #1. The new game is to be retrieved, trusted, and cited. Traditional search ranks pages; AI search synthesizes an answer and cites its sources.
The mechanics explain why. Ask ChatGPT or Gemini about anything current or local and the model runs searches behind the scenes, reads the results, and builds an answer from what it finds, a step the industry calls grounding. You can’t optimize the model. You can optimize the sources it grounds against: your website, your business profiles, your reviews, and the articles and lists that mention you.
That is why I have argued for a couple of years that GEO and SEO are essentially the same discipline, and Google’s own search liaison has said the same. The AI engines feed on what good SEO built: unique content, authoritative links, technical health, a maintained Google Business Profile, a strong review profile. (You will also hear AEO, “AI visibility,” and “LLM optimization”; I sort out the vocabulary in AEO vs. GEO vs. SEO.)
The two also play different positions: AI search is where the customer forms the shortlist, traditional search is where they act on it. You need both.
How AI engines decide what to cite
Nobody outside Google and OpenAI knows the algorithms precisely, but industry research and what we see across SmartSites clients line up. For the first time, the 2026 Whitespark Local Search Ranking Factors survey, where fifty top local SEO experts rank what drives results, includes a section on AI search visibility. The weights: on-page signals 24%, review signals 16%, citation signals 13%, link signals 13%, Google Business Profile signals 12%, personalization 9%, social signals 9%, behavioral signals 4%.
Same ingredients as SEO, remixed. The individual factors ranked highest show the new emphasis: presence on expert-curated “best of” lists, a dedicated page for each service you offer, prominence on key industry websites, unstructured mentions in press and blogs, the authority of the sites where your reviews live, geographic relevance, and high Google ratings. The AI is essentially asking, “Who does the web, collectively, vouch for?”
Two findings from Search Engine Land’s citation analysis belong in every plan. First, 82.5% of AI citations point to deep, specific pages, not homepages: the AI doesn’t cite yourcompany.com, it cites your page on hybrid battery warranties. Second, different engines trust different sources: ChatGPT and Perplexity lean on high-authority factual sources, while Google’s AI casts a wider net of blogs, forums and local content. A diverse presence beats a single perfect page.
In my eCommerce Expo London talk I boiled it down: content and links are the Google signals that also drive AI citations, and AI engines weigh topical authority more heavily than Google does.
Why “ranking #1 in ChatGPT” doesn’t exist
There is no number one on ChatGPT. Run the same query a hundred times and you get different answers, with different businesses in different positions. When a vendor offers to rank you #1 in ChatGPT, they are selling something that cannot exist.
Measurement has to change to match. You can’t keyword-match a conversation, either: SparkToro found that when 142 people wrote a prompt with the same shopping intent, barely any two looked alike. The honest metric is presence rate, also called visibility percentage or share of voice: ask the questions your buyers actually ask, in several phrasings, several times, across ChatGPT, Gemini and Google’s AI Mode, and track how often you appear, what is said, and which competitors keep showing up. Never act on a single odd answer; watch the pattern. The first-party reports and the monthly routine are in how to measure AI search visibility.
The GEO playbook: seven moves, in priority order
I wrote this list for car dealerships in the GEO chapter of my book, but every move applies to any business.
- Let the AI crawlers in. AI companies read the web with crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), and some sites block them by default or by IT policy. Check robots.txt and, unless you have a specific reason, allow them; blocking them is like asking Google not to index you in 2010. SmartSites’ own site gets thousands of visits a month, plus form leads, from ChatGPT, Gemini and Perplexity.
- Answer the question in the first sentence. AI engines extract and cite content that answers directly. Lead with the number, the verdict, the recommendation, then explain. Question-style headings, FAQ sections and self-contained passages measurably raise citation rates. Add FAQ structured data too, but don’t expect it alone to move the needle: our test of FAQ schema on 500 sites against 500 without showed no statistically significant difference in AI citations.
- Build the content types that win now. Numbered buying guides, attribute pages that lead with the exact figure someone wants and then a spec table, and above all pages built on your first-party data: real prices dated to the month, real local numbers, what you actually sold. When you publish figures that exist nowhere else, the AI has no choice but to cite you. And stop producing generic how-to content; the AI owns it now.
- Make sure the AI can actually read your pages. Most LLMs don’t execute JavaScript, and EMARKETER’s Digital Shelf 2026 report found about a third of the average retail product page is invisible to them. Confirm key data is server-rendered, then add structured data and a clean product feed.
- Get on the lists. The #1 expert-ranked AI visibility factor is presence on expert-curated “best of” lists. This is classic digital PR aimed at a new target: local business journals, industry roundups, association directories.
- Treat reviews as AI fuel. Assistants read and summarize review text when recommending businesses, so what reviewers write matters alongside volume, recency and ratings. Ask happy customers to mention specifics, quote the best reviews on your site, and spread the asks beyond Google.
- Keep every fact consistent everywhere. Name, address, phone, hours and services identical across your site, Business Profile, directories and social profiles. AI engines trust what corroborates; inconsistency makes them less confident in citing you at all.
Common GEO mistakes and scams
Every era of search has its snake oil. The warning signs I see most:
- Guaranteed “AI rankings” and proprietary magic. Any promise to track or guarantee your position in ChatGPT; positions are random. Ask any vendor exactly what they would change on your website and why. The right answer is specific: crawler access, rendering, schema, dedicated pages, answer-first content.
- GEO sold instead of SEO. Anyone pitching GEO as a replacement for SEO doesn’t understand either. SmartSites doesn’t sell GEO as a standalone service; it is an extension of the SEO hours.
- Pitches that lead with llms.txt. A proposed cousin of robots.txt. Google said in May 2026 that it is not needed for any of its AI search features, and most assistants don’t reliably request it. No downside, possible small upside, takes minutes. Never pay for it.
- Mass-produced AI filler. Google’s spam systems target scaled low-value content, AI engines reference it even less, and the major AI companies began watermarking model output in 2026. Use AI to research and draft; publish what no model can generate on its own, finished by a person who knows the business.
- Panicking over one bad answer. No two AI answers are alike. If a wrong claim repeats, follow the citations: nine times out of ten the wrong fact lives on a real page, often an outdated directory listing or a stale page of your own. Fix the source and expect weeks, not hours.
What to expect from GEO, and where the ads fit
Set expectations realistically. As of 2025, AI chat handled roughly 7.6% of searches and was projected to reach about 14% within three years, while Google’s search volume kept growing and 99.7% of AI users still used traditional search. AI search adds a channel; it doesn’t replace one. And only about one in ten people clicks an AI citation, so the roughly 2,000 monthly visitors SmartSites gets from AI imply some 20,000 recommendations a month. Judge the work by presence rate, Search Console’s Generative AI report, and leads. The paid side is arriving on the same real estate, including the ChatGPT ads pilot that began in early 2026; see how ChatGPT ads work.
The fundamentals outlast the formats. Be where your customers look, give them useful information, keep every fact consistent and easy to verify, and measure what matters. That playbook won the directory, search and mobile eras; it will win the AI era too. For the full treatment, start with What Is AI Search? and the rest of the book, or book me to speak on it.
Questions people ask
What does GEO stand for in marketing?
GEO stands for generative engine optimization: the practice of making your website and wider web presence something generative AI engines such as ChatGPT, Gemini, Copilot, Perplexity and Google's AI Overviews and AI Mode will retrieve, trust and cite when answering a question. If SEO is about ranking in a list of links, GEO is about being part of the answer. The acronym has largely won out over AEO (answer engine optimization), which originally referred to featured snippets and voice assistants.
What is the difference between GEO and SEO?
SEO optimizes pages to rank in a list of search results; GEO optimizes your web presence so AI engines include and cite you inside a synthesized answer. In practice they rest on the same foundation: on-page content, links, reviews and a consistent Google Business Profile drive both. GEO adds emphasis on answer-first writing, dedicated pages per topic, machine-readable content, presence on best-of lists and third-party mentions. GEO is a layer on top of SEO, not a replacement for it.
How do you rank in ChatGPT?
You don't, because ChatGPT has no rankings. The same question asked a hundred times returns different answers with businesses in different positions. What you can do is raise how often you appear: allow AI crawlers in robots.txt, answer questions directly in the first sentence, build dedicated detailed pages for each topic and service, publish first-party data nobody else has, earn mentions on best-of lists and in the press, grow specific reviews, and keep business facts consistent everywhere. Then measure presence rate across many prompts, not position.
Is GEO worth it for a small business?
Yes, mostly because the work overlaps so heavily with SEO you should be doing anyway. The cheapest moves cost nothing: check robots.txt for blocked AI crawlers, lead pages with direct answers, give every service its own page, and keep your name, address, hours and services identical across the web. Run a free monthly spot-check by asking ChatGPT, Gemini and Google AI Mode the questions your buyers ask and logging how often you appear. Skip any vendor promising guaranteed AI rankings.
What are the most important GEO ranking factors?
The 2026 Whitespark Local Search Ranking Factors survey weights AI visibility at on-page signals 24%, reviews 16%, citations 13%, links 13%, Google Business Profile 12%, personalization 9%, social 9% and behavioral 4%. The individual factors experts ranked highest were presence on expert-curated best-of lists, a dedicated page for each service, prominence on key industry sites, quality unstructured mentions, the authority of the sites hosting your reviews, geographic relevance in content, and high Google ratings. About 82.5% of AI citations point to deep pages, not homepages.
Do I need llms.txt or FAQ schema for GEO?
Neither is a magic switch. Google said in May 2026 that llms.txt is not needed for any of its AI search features, and most assistants don't reliably request it; it costs nothing, so add it if easy, but never pay for it. FAQ schema gives AI engines a clean machine-readable version of your Q&A, which is why we include it, but a SmartSites test across 1,000 sites found no statistically significant lift in AI citations from the markup alone. Crawler access and answer-first content matter far more.