GEO isn't SEO with a new name, and mixing them up is expensive

SEO asks where the URL ranks. GEO asks how many AI answers cite the URL as a source and whether the brand is named in the text. Both live on the same results page: Ahrefs analyzed 1 million pages across 100,000 search results and found AI-generated content ranking everywhere, including the top three positions ¹. These are two funnels with two metrics, and one doesn't replace the other.

The table below sums up where the two paths part ways. Use it to audit your own plan: if the main optimization target row for your project points only to backlinks, you're doing SEO and calling it GEO.

In a study with Kevin Indig, Semrush found that 62% of citations in AI answers don't mention the source's brand, the so-called ghost citations ². The model reads the page, uses the data, adds the link to its list of references and never writes the company's name. Being cited isn't the same as being named.

And a brand's visibility often rests on a small number of pages that get cited again and again ². If your GEO plan stops at "getting cited", it only covers the citations that carry your name, 38% of them. The other 62% stay invisible to whoever reads the answer ².

The split shows up in three places: backlinks, on-page and competition. In SEO, every relevant link pushes your ranking. In GEO, what matters is that the page the model reads contains citable information about your brand. And in competition, the model chooses among the sources with the greatest combined presence, not among URLs fighting for a position.

First, backlinks. In SEO, every relevant link pushes your ranking up. In GEO, a link to your site carries little weight if the model never opens your URL. What counts is the structured information on the page it does read.

Second, on-page. SEO asks for a title tag, a meta description and a clean heading hierarchy. GEO asks for short statements, tables with data and a format from which the model can lift a whole sentence straight into its answer.

Third, competition. In SEO, you fight another URL for the top spot. In GEO, the model chooses among the five, seven or ten sources it has read and recommends the ones with the greatest combined presence. In a test with the question what are the best AI meeting note-taking apps, Claude noted that four brands dominate almost every comparison list, Otter, Fathom, Granola and Fireflies, even after reading reviews that covered dozens of other products ².

Start by keeping the two funnels apart in your spreadsheet. For SEO: position, CTR and clicks per keyword. For GEO: build a set of 20 to 50 questions, run them every week and log three columns, was the URL cited, was the brand named and which source came first.

Searches for ai visibility tools grew 266% in 12 months ¹, a sign the market is still choosing its tools. Don't wait for the industry to settle: start with a spreadsheet, 30 questions and Gemini, and compare the citations across two weeks. If the overlap between cited sources is high, with the same domain in 80% of the answers, the game is about being present on a few sites. If it's low, you need citations across many third-party sites.

Alphabet brought in $403 billion in 2025, roughly 73% of it from advertising ³. Google has every reason to keep the results list profitable while expanding AI Overviews. Optimize only for the list and you lose the traffic from generated answers; optimize only for citations and you lose the click. That's two budgets and two KPIs.

Rolling both into a single "organic visibility" KPI is the cheapest way to waste a quarter. The two disciplines coexist, measure different things and need separate attention.

The first step costs nothing. Open Gemini, type five questions your customers would ask to find what you sell, and note in a spreadsheet which URLs show up as sources and which brands are named in the text. Run the same list in AI Mode and compare the two columns: where the overlap is low, you have a map of what's missing; where it's high, you have the list of domains to go after first.