GEO vs SEO: What Is the Difference?

SEO (search engine optimization) earns your page a place in the list of links a search engine shows. GEO (generative engine optimization) earns your brand a place inside the answer an AI engine writes, in ChatGPT, Gemini, Perplexity or a Google AI Overview, the AI-written summary at the top of some Google results. Most of the groundwork is shared, so treat GEO as SEO with a second scoreboard.

The differences are in what counts as a win and how you measure it. In SEO, a win is a ranking and a click. In GEO, a win is a mention: the answer names your brand, ideally near the top, and cites a page that supports you. A citation is a link the AI answer shows as its source. If the term is new to you, start with what GEO is. The table below puts the two side by side.

What is the difference between GEO and SEO?

The difference between GEO and SEO is the goal. SEO (search engine optimization) works to rank your page in a search engine’s list of links. GEO (generative engine optimization) works to get your brand named and cited inside AI answers from ChatGPT, Gemini, Perplexity and Google AI Overviews. The groundwork is mostly shared. The scoreboard is not.

In GEO vs SEO marketing, SEO is measured in rankings and clicks, and GEO in mentions: how often answers name you, in what position, and which pages they cite. Both depend on pages that engines can fetch and index. Which search index each AI engine uses explains where each engine finds the pages it cites.

What is the full form of SEO and GEO?

SEO stands for search engine optimization, and GEO stands for generative engine optimization. That is the meaning of SEO and GEO in digital marketing. SEO is the work of ranking in search results. GEO is the work of being named in answers written by generative AI, the kind of AI that writes new text, such as ChatGPT and Gemini.

In some SEO writing, “geo” also means location targeting, as in local SEO. On this page, GEO always means generative engine optimization, the term from the research paper covered below.

Is GEO replacing SEO?

No. GEO sits on top of SEO, and the clearest evidence comes from Google itself. Its AI features documentation (opens in a new tab) says a page must be indexed and eligible to show with a snippet, the short text preview under a search result, before it can appear as a supporting link in AI Overviews or AI Mode. It also says there are no extra requirements or special optimizations beyond that. One setting sits on top: Search Console has a Search generative AI control, rolled out to all sites by 31 August 2026. Sites are included by default, and a site its owner excludes does not appear in these features (Google Search Console Help (opens in a new tab), checked 7 Oct 2026).

The same page says “all existing SEO fundamentals continue to be worthwhile”. ChatGPT has a similar gate. OpenAI’s crawler documentation (opens in a new tab) says sites that opt out of OAI-SearchBot, its search crawler, will not be shown in ChatGPT search answers, though they can still appear as plain navigational links. A page an engine cannot fetch or index cannot be cited, however good it is.

The change is where some questions now end: inside an answer, with no click to a results page. The crawling and content work is shared, and the metrics differ. You still need pages that rank. You also need to know whether the answer names you.

What is SEO called now with AI?

It is still called SEO. The added work of getting named in AI answers goes by several names that mean close to the same thing: GEO (generative engine optimization), AEO (answer engine optimization), LLM SEO and AI SEO. An LLM (large language model) is the type of model behind ChatGPT and Gemini.

GEO comes from a research paper. Aggarwal et al. (KDD 2024) (opens in a new tab) named it and found that adding citations, quotations and statistics raised a page’s visibility in AI answers by up to about 40% in a GPT-3.5 test setup. AEO was in use earlier in the SEO industry, for featured snippets (the answer box Google shows above the links) and for voice assistant answers. For how the three terms relate, read AEO vs GEO vs SEO. For the same comparison from the AEO side, read AEO vs SEO.

What stays the same from SEO to GEO?

Four parts of the work carry over from SEO to GEO with little change: crawler access, clear answers, reputation on other sites and consistent brand facts.

• Crawler access. Search engines and AI engines both need to fetch your pages. Your robots.txt file, the plain text file that tells bots what they may crawl, controls this for both. AI Overviews are built from Google’s search index, so a page blocked from Googlebot is out of both.
• Pages that answer the question. A page that answers a buyer’s question in its first two sentences helps it rank and gives an AI engine a clean passage to quote. A content AEO audit checks your pages for this, one page at a time.
• Reputation on other sites. Links and mentions from sites people trust help rankings. AI answers also cite other websites, so the sites that already cover your category matter for both.
• Consistent facts about your brand. Your name, category, prices and locations should read the same on your site, marketplaces and directories. Search engines use these facts to understand who you are, and AI engines repeat them.

What changes from SEO to GEO?

Five things are new when the goal is a place in the answer: the scoreboard, cited sources, rerun variation, language and the list of bots.

• The scoreboard moves to mentions. An AI answer can name your brand without sending a click. What you track is how often answers name you, where you appear in the list, and what the answer says about you.
• Cited sources carry weight. An answer that names three competitors may cite a “best of” list article, a forum thread or a marketplace page. Getting onto those pages can matter more than another post on your own site. Citation gap analysis lists the sites that recommend competitors and never mention you.
• Answers vary between runs. Ask the same question twice and the list of brands can change. One reading is a sample of one. You need repeated checks over days before a move means anything.
• Language changes the answer. Many Indian buyers type in Hinglish, which is Hindi and English written in English letters. The same question in Hinglish can get a different list of brands, as the example below shows.
• The bot list is longer. Next to Googlebot there are AI crawlers from OpenAI, Anthropic, Perplexity and others, some collecting training data and some fetching pages to answer a question now. The AI crawlers guide explains which is which. Google says its AI features need no special AI text files or markup, so an llms.txt file, a plain text summary of your site for AI tools, is optional.

How do you measure GEO alongside SEO?

Use two scoreboards: Google Search Console for SEO, and repeated checks of AI answers for GEO. For SEO, Google Search Console shows impressions, clicks and average position. Google counts AI Overview and AI Mode appearances inside the Web search numbers there. Its Generative AI performance report (opens in a new tab) shows impressions from those features by page, country, date and device (checked 14 Oct 2026). Search Console cannot tell you whether an AI Overview named your brand.

For GEO, you ask the questions your buyers ask and read the answers. These tracked questions are called prompts. Try it by hand with 10 prompts and the problem shows up fast: answers change between runs, engines disagree, and a number only means something across many answers.

Depra AI’s AI visibility tracking does this for you. It asks your prompts to ChatGPT with web search, Gemini, Perplexity and Google AI Overviews every day on every plan, from inside your chosen country. Enterprise adds every other major AI engine, such as Claude, Microsoft Copilot, DeepSeek, Google AI Mode and Grok. It records whether each answer named you, in what position, in what tone, and which pages it cited. The Google AI Overview tracker also records whether an Overview appeared at all.

For what trackers charge, read how much AI visibility tools cost. For both scoreboards used on one brand, read how Depra AI tracked its own brand in Google, Bing and ChatGPT.

• SEO metrics: impressions, clicks, average position and indexed pages, from Search Console.
• GEO metrics: visibility (the share of answers that name you), position in the answer, sentiment, cited domains, and share of voice, which is your mentions as a share of all tracked brand mentions. Every term is defined in the AI search glossary.

How does GEO differ from SEO for an Indian buyer question?

For SEO, you check where your product or category page ranks for each phrasing of the question. For GEO, the language of the question changes the answer itself.

Take a buying question from our study, in English: “Which face wash should I buy for oily skin in India under ₹500?” A Hinglish buyer types the same question in Hindi and English, written in English letters.

In the August 2026 wave of our Hinglish vs English study, 480 answers to 10 buying questions asked from India, Gemini cited sources in 90.0% of English answers and 41.3% of Hinglish answers. On Perplexity, the overlap in brands named was 23.4 points lower across languages than between two runs in the same language. In the October 2026 re-run (479 answers), the Perplexity gap was 28.2 points, and Gemini cited sources in 73.4% of English and 56.3% of Hinglish answers.

A brand that tracks only English questions misses what Hinglish buyers see. Depra AI suggests a Hinglish version of each question when India is one of your markets, on every plan, and your report shows the split.