GEO vs SEO: What Differs and What Overlaps

On Google, GEO is mostly SEO. Google's AI features documentation says that to be shown as a supporting link in AI Overviews or AI Mode, a page "must be indexed and eligible to be shown in Google Search with a snippet." It adds: "There are no additional technical requirements."

Google's optimization guide for generative AI features goes further. It says you don't need special machine-readable files, AI text files, extra markup or Markdown. It says you don't need to write in a specific way for AI, and that there is no ideal page length.

So if you already run solid technical SEO for Google, you have met Google's stated bar for its AI surfaces. Eligibility is not inclusion, though. Google also says indexing and serving "isn't guaranteed."

The labels around this are messy. If you're sorting out the terms, see how AEO, GEO and AI SEO relate and whether AI SEO and GEO really differ.

What it means: don't build a parallel GEO workstream for Google. Fix the Search basics first.

An AI answer passes through four stages. SEO and GEO overlap at some of them and not at others.

What the table shows

The access stage is where you have the most control, and it's also where GEO adds the most work. SEO mostly cares about one crawler. GEO cares about several.

The retrieval stage overlaps with SEO but isn't identical. Ahrefs found that 37.9% of URLs cited in AI Overviews also appeared in the first 10 results (March 2026). That is a real overlap, and it also means most citations came from further down. Our digest of the Ahrefs top-10 study covers the method and its limits.

The generation stage is where most published GEO experiments were run. Those studies tested pages already inside the model's context. The best-designed of them, C-SEO Bench, found most rewriting techniques ineffective or harmful.

Outside Google's own surfaces, the overlap with SEO gets thinner. Four differences matter.

Several engines, several indexes

There is no single "AI search." Google's AI features doc says AI Overviews and AI Mode "may use different models and techniques," even inside Google. The Gemini app is a separate product again (see whether Gemini is the same as AI Overviews). Microsoft Copilot grounds on Bing's index.

Otterly's 2026 experiment shows how far this can split. Google deindexed both of its test sites, yet Microsoft Copilot produced 2,718 of the 3,934 AI citations Otterly tracked for one site. Ranking in Bing produced effectively zero ChatGPT citations in the same test. It is one pair of sites run by a vendor, so treat it as an illustration, not a law.

Crawler rules are per bot

OpenAI's crawler page says GPTBot is for training and OAI-SearchBot is for ChatGPT search, and that "each setting is independent of the others." A site can block training and still appear in ChatGPT search:

User-agent: GPTBot
Disallow: /

User-agent: OAI-SearchBot
Allow: /

The reverse mistake is common: a blanket AI block that quietly removes ChatGPT search eligibility.

JavaScript rendering

Googlebot renders JavaScript. Vercel's crawler study found ChatGPT and Claude crawlers fetch JavaScript files but "don't execute them." A page that ranks well on Google can still look empty to those crawlers.

No position data

SEO has rank. AI answers don't. As of October 2026, Google's Search Console report for AI features shows impressions only, with no clicks, CTR or position. No engine publishes a position inside an answer. For a wider look at how results differ, read AI search vs Google search.

Be clear about this split before you spend money on either discipline.

In your control

• Per-bot robots.txt permission. Allow the retrieval bots you want: OAI-SearchBot, PerplexityBot, Claude-SearchBot, Googlebot, bingbot.
• Network reachability. A firewall or CDN can block a crawler that robots.txt allows. OpenAI's help centre asks sites to allow its published search bot IP ranges as well as permitting the bot.
• Server-side rendering of the content that matters: prices, product names, definitions.
• Index and snippet eligibility. noindex, nosnippet, max-snippet:0 and data-nosnippet keep content out of AI answers. Check they aren't applied by accident.
• Stating specific facts plainly. A fetchable page that says your price, your founding year or a one-line definition gives the engine a sentence it can quote.

Not in your control

• What the model learned in training, frozen at its cutoff.
• Whether retrieval fires for a given query. That is per query and at the engine's discretion.
• The real queries the engine runs. ChatGPT rewrites prompts and Google may fan out across subtopics.
• Which retrieved pages get cited.

No tactic promises a citation. You fix what blocks you. The engines decide the rest.

If you have one quarter and limited hands, this order follows the evidence.

1. Keep the SEO basics healthy. Indexed, crawlable, snippet-eligible pages are the entry ticket for Google's AI surfaces. Check Google Search Console and Bing Webmaster Tools separately, since one being healthy tells you nothing about the other.
2. Audit robots.txt bot by bot. Confirm you allow each retrieval bot you care about. Decide on training bots (GPTBot, ClaudeBot, Google-Extended) as a separate question.
3. Test reachability through your CDN. Request a page as each AI crawler and look for 403s or challenge pages. The AI Crawler Checker does this. If results differ between tools, here's why crawler checkers disagree.
4. Diff raw HTML against the rendered page. Anything that only appears after JavaScript runs is a candidate for server-side rendering.
5. Remove accidental suppression. Look for template-level nosnippet or data-nosnippet that hides more than intended.
6. Make your key facts consistent. State price, product names and other facts the same way on every page that mentions them.
7. Measure each engine separately. Then decide where third-party coverage matters. When engines cite other sites instead of yours, being named on those sites is associated with appearing in the answer.

Steps 2 to 5 are where GEO adds work beyond SEO. They are cheap, and they are checkable.

Most bad GEO advice comes from treating it as a new set of on-page tricks.

• Adding schema to get cited. Google says structured data isn't required for generative AI search. Ahrefs' matched test of 1,885 pages found AI Overview citations fell 4.6% after schema was added. Existing markup does no harm, but it is not a lever for AI answers.
• Publishing an llms.txt. Google says Search ignores it. No other engine documents reading it.
• Rewriting in an "AI-friendly" style or chunking pages. Google's guide rejects both and says there is no ideal page length.
• Chasing an E-E-A-T score or domain authority. Google says E-E-A-T isn't a specific ranking factor, and there is no score. Domain Authority is a third-party metric no engine computes.
• Allowing GPTBot so ChatGPT can find you. GPTBot governs training. ChatGPT search uses OAI-SearchBot.
• Quoting "up to 40% more visibility." That figure comes from a lab engine with sources already loaded into context.
• Assuming top-10 rankings carry over. The Ahrefs overlap is real but partial, and it covers AI Overviews only.
• Testing while logged in. Memory and history change answers. See logged-in vs logged-out AI testing.
• Injecting hidden instructions or cloaking for AI crawlers. These manipulation tactics exist and are illegitimate. They risk penalties and misrepresent you.

SEO reporting leans on rank and clicks. GEO reporting has neither in a clean form, so measure what you can observe.

• Presence per engine. For a fixed set of buyer questions, does each engine name you? Report each engine on its own, since one blended score hides big splits.
• Accuracy. Are the facts the engine states about you correct? Wrong prices and outdated product names are fixable once you know which page feeds them.
• First-party counts where they exist. Bing Webmaster Tools reports AI citations for Copilot and Bing summaries. Those counts usually differ from a prompt-based tracker, for reasons covered in why Bing's citation counts differ.

Keep the limits in view. Any single cross-engine score averages answers given with and without live retrieval. Prompts you choose are a proxy for queries the engine actually runs.

A one-off snapshot is a reasonable start. The free checker on this site shows whether AI engines name you for up to three buyer questions. Then fix access issues first and re-check.

Does good SEO automatically get me into ChatGPT answers? Not automatically. Good SEO covers Google well, but ChatGPT search uses its own crawler, OAI-SearchBot, and may draw on partner search providers. You also need to allow OAI-SearchBot in robots.txt, make sure your CDN doesn't block it, and serve key content without relying on JavaScript. Even then, retrieval is at the model's discretion per query, so eligibility is the most anyone can secure.

Is GEO just a new name for SEO? Partly. For Google's AI Overviews and AI Mode, Google says there are no requirements beyond normal Search eligibility, so the work is SEO. Beyond Google, GEO adds real tasks: managing several AI crawlers, checking firewall reachability, fixing JavaScript-only content, and measuring each engine separately. The content-rewriting tactics often sold as GEO lack credible evidence.

Do I need schema or llms.txt for GEO? No. Google says structured data isn't required for generative AI search and that Search ignores llms.txt. No other major engine documents reading llms.txt. Ahrefs' matched test found schema produced no meaningful citation lift and a 4.6% drop on AI Overviews. Keeping existing schema does no harm. It just isn't a lever for AI answers.

Can I track my position in Google AI Overviews? No reliable position exists to track. As of October 2026, Google's Search Console report for AI features shows impressions only, with no clicks, CTR or position. Google also says third-party tools don't have access to its internal ranking data. Track presence and accuracy per engine instead, and treat any 'AI rank' figure as unverifiable.

Does ranking in the top 10 guarantee an AI Overview citation? No. Ahrefs found that 37.9% of URLs cited in AI Overviews also appeared in the first 10 results, using its March 2026 method. That leaves most citations coming from pages ranked lower. Ranking helps make a page a candidate, but Google states that indexing and serving in AI features isn't guaranteed.