The Reframe

GEO vs SEO: what overlaps, what changes, and how to split your effort

By , The Reframe··9 min read
Cover: GEO vs SEO, what changes and what doesn't

GEO vs SEO comes down to what you win. SEO earns ranked links and clicks; GEO earns mentions and citations inside AI answers from ChatGPT, Perplexity, Gemini and Google. They share most of their foundation, so it's not either-or. Here's what overlaps, what changes, and how to split your effort.

Key takeaways
  • SEO wins ranked links and clicks; GEO wins mentions, recommendations and citations inside AI answers.
  • The foundation is shared: Google says optimizing for its AI features is still SEO.
  • Rankings explain less than they did: Ahrefs found 38% of AI Overview citations came from top-10 pages, down from 76% a year earlier.
  • GEO adds off-site work (mentions on the pages assistants cite) and new metrics (mention rate, share of voice, accuracy).
  • Set your split from your own SEO and GEO baselines, then re-measure each quarter.

GEO vs SEO: the short answer

SEO (search engine optimization) is the work of ranking your pages in search results so people click through to your site. GEO (generative engine optimization) is the work of getting your brand mentioned, described correctly and cited inside AI-generated answers from ChatGPT, Perplexity, Gemini and Google's AI Overviews and AI Mode.

The term GEO comes from a 2023 research paper by Aggarwal and colleagues, "GEO: Generative Engine Optimization", published at KDD 2024. The authors reported that content changes could boost a source's visibility in generative engine responses by up to 40% on their benchmark, and that what worked varied by domain.

So GEO vs SEO is less "which one" and more "how much of each." They share a foundation. GEO adds a layer of off-site work and a different way of measuring success. You may also hear GEO called answer engine optimization; our AEO guide covers that term and how to start.

What GEO and SEO have in common

Most of what makes a page rank also makes it usable by an answer engine. Google is direct about this for its own products. Its guide to optimizing for generative AI features says "the best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems." It goes further: "optimizing for generative AI search is optimizing for the search experience, and thus still SEO."

The shared foundation looks like this:

If your SEO basics are weak, fix those first. GEO work sits on top of them, not beside them.

Where GEO and SEO differ

The differences are in what you're trying to win, where the decision gets made and how you know it worked.

SEOGEO
The prizeA ranked link and the click that followsA mention, a recommendation or a cited source inside an answer
The queryShort keywords, often 2 to 4 wordsLonger questions with context, plus the related searches the engine runs behind the scenes
What decides itYour page's relevance and authority for that queryWhat many sources say about your category and your brand, gathered across several searches
Where you competeYour pages vs competitor pagesYour pages plus review sites, roundups, Reddit, YouTube and press
Core metricsRankings, impressions, clicks, organic conversionsMention rate, share of voice, citations, accuracy of description
ToolingMature: Search Console, rank trackers, keyword toolsYounger: prompt tracking, AI visibility tools, Search Console for Google's AI surfaces
Crawler accessGooglebot, BingbotThe same, plus assistant crawlers such as OpenAI's OAI-SearchBot

That last row catches teams out. OpenAI's crawler documentation says OAI-SearchBot is what surfaces sites in ChatGPT search, and that sites blocking it won't appear in those answers. Blocking GPTBot, a separate crawler, only opts you out of model training. It's worth checking your robots.txt for both. You don't need a special AI file for any of this; our guide to llms.txt explains what that file does and doesn't do.

What the data says about the gap

Two recent Ahrefs studies show why strong rankings alone no longer guarantee AI visibility.

First, rankings explain less than they used to. Ahrefs analyzed 863,000 keyword SERPs and about 4 million AI Overview URLs and found that just 38% of AI Overview citations came from top-10 pages (March 2026), down from 76% a year earlier. Google's documentation explains the mechanism: AI features use "query fan-out," running several related searches and pulling from all of them.

Bar chart of where Google AI Overview citations rank: 37.9% from top 10 positions, 31.2% from positions 11 to 100, 31.0% from beyond the top 100
Where AI Overview citations come from, by the cited page's organic position for the query. Source: Ahrefs study of 863K SERPs, March 2026.

Second, off-site reputation carries real weight. In a study of 75,000 brands, branded web mentions correlated with AI Overview visibility at 0.664, compared with 0.218 for the number of backlinks. A quarter of the brands studied (26%) had no AI Overview mentions at all. These are correlations, not proof of cause, but they point the same way as the first study: the conversation about you across the web matters as much as your own pages.

You can see this on the "geo vs seo" results page itself. In Ahrefs (US, September 2026) the keyword has 2,700 monthly searches and a Keyword Difficulty of 30, and an AI Overview sits above the results. Its cited links included a LinkedIn post and a YouTube video alongside an article, and Reddit threads held the next organic spot. Ahrefs estimates the top page's traffic potential at only about 350 visits a month, well below the search volume. That fits a pattern where many searchers get their answer before they click, though Ahrefs' data can't say that for certain.

How to split effort between SEO and GEO

There's no industry benchmark for the right split, and anyone quoting one is guessing. What you can do is decide it from your own data. Here's the process we use.

Three-column diagram: SEO-only work such as rank tracking and link building for rankings; shared foundation such as crawlable pages, clear answers and original content; GEO additions such as prompt tracking, third-party mentions and AI crawler access
The shared foundation serves both channels. Decide how much to add on each side from your own baseline.
  1. Audit the shared foundation first. Check indexing, crawl access (including OAI-SearchBot), page speed and whether your key pages answer buyer questions clearly. Anything broken here hurts both channels, so it comes first.
  2. Measure both baselines. For SEO, pull non-branded clicks and conversions from Search Console. For GEO, run 25 to 50 buying prompts in ChatGPT, Perplexity, Gemini and Google AI Mode and record mention rate, share of voice and cited sources.
  3. Find the bigger gap. If you rank well but rarely get mentioned, shift effort toward GEO. If you're mentioned but your organic traffic is thin, SEO still has easy wins. If both are weak, start with the foundation and your category pages.
  4. Look at how your buyers research. Add "ChatGPT or another AI assistant" to your "how did you hear about us" field and ask in sales calls. If it shows up often, that's a signal to invest more in GEO.
  5. Set the split for one quarter, then re-measure. Rerun the same prompts and compare. Adjust next quarter's split based on what moved.

A worked example

Here's how that plays out for a hypothetical mid-market SaaS company selling expense management software. The numbers are illustrative, not client data.

The gap is clearly on the GEO side, and it's specific. The plan for the quarter: update the homepage and pricing page so the mid-market positioning is unmistakable, pitch the two roundups with current product information, refresh the review profiles, and answer questions in the community where the Reddit thread lives. SEO work continues at its normal pace because it's already producing. At the end of the quarter, the team reruns the same 40 prompts and compares mention rate, share of voice and how the product is described.

Notice what the example doesn't do. It doesn't pause SEO or start a separate "GEO content" program. Most of the fixes, clearer positioning and current facts, help both channels at once.

TipA reasonable starting point for many B2B SaaS teams with sound SEO basics is to keep most effort on the shared foundation and put a defined slice, say one day a week, into GEO-specific work: prompt tracking and getting onto the pages assistants cite. This is our rule of thumb, not a benchmark. Let your baseline change it.

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Is GEO replacing SEO?

No, and it's unlikely to soon. Google's AI features are built on its core ranking systems, and Google itself calls optimizing for them "still SEO." Pages still need to be found, crawled and trusted before any answer engine can use them.

What's changing is the payoff. Some searches that used to end in a click now end in an answer, so rankings alone understate or overstate how visible you really are. GEO adds the measurement and off-site work that fill that gap. Think of it as an extension of SEO with a wider field of play, not a replacement.

Also be skeptical of GEO tactics that promise shortcuts. Google's guide says it doesn't use llms.txt files, doesn't need content chopped into small chunks, and gets little value from manufactured mentions. The work that holds up is the unglamorous kind: clear pages, current facts and genuine third-party coverage. If you want to go deeper on Google's surfaces specifically, see how to rank in AI Overviews.

What to report for each

Keep SEO and GEO metrics side by side so leadership sees one picture, not two competing ones.

For the GEO side, the LLM visibility guide explains how to set up mention rate and share of voice, and the guide to AI brand mentions covers how to earn the third-party coverage that moves them.

FAQ

What is the difference between SEO and GEO?

SEO aims to rank your pages in search results and win clicks. GEO aims to get your brand mentioned and cited in AI-generated answers, which draw on many sources beyond your own site. The technical and content basics are the same; GEO adds off-site work and different metrics.

Is GEO replacing SEO?

No. Google's AI features are built on its core ranking systems, and Google describes optimizing for them as still SEO. GEO extends SEO to cover AI answers and the third-party sources behind them.

Which is more important for a B2B SaaS business, SEO or GEO?

It depends on your baseline. If you rank well but rarely appear in AI answers, GEO is the bigger gap. If AI assistants mention you but organic traffic is thin, SEO still has more easy wins. Measure both before deciding.

Does good SEO automatically give you good GEO?

It helps a lot but doesn't guarantee it. Ahrefs found only 38% of AI Overview citations came from top-10 pages, and brand mentions across the web correlated more strongly with AI visibility than backlinks did.

Is GEO the same as AEO?

In practice, yes. Generative engine optimization and answer engine optimization describe the same goal of appearing in AI answers. The labels come from different starting points, but the work overlaps almost entirely.

Sources

  1. Aggarwal et al., GEO: Generative Engine Optimization (KDD 2024)
  2. Google Search Central: Optimizing your website for generative AI features on Google Search
  3. Google Search Central: AI features and your website
  4. OpenAI: Overview of OpenAI crawlers
  5. Ahrefs: Just 38% of AI Overview citations come from top 10 pages (March 2026)
  6. Ahrefs: An analysis of AI Overview brand visibility factors (75K brands studied)
  7. Semrush: GEO vs. SEO, a comparative guide
HumaFounder of The Reframe. An electrical and aerospace engineer turned growth marketer with 10+ years of experience, including work with Fortune 500 tech and SaaS companies.