GEO vs SEO: what's different, what's the same, and where to spend

The one-line difference

SEO is about ranking your pages in search results. GEO (generative engine optimization) is about being named in the answers AI assistants write. They overlap heavily, but they reward different things, and teams that treat GEO as "SEO with new keywords" usually miss the part that matters most.

Side by side

• Goal. SEO: a high position for a URL. GEO: a mention, early and accurate, inside a generated answer.
• Who decides. SEO: a ranking algorithm weighing your page against others. GEO: a model summarising what several trusted sources agree on.
• Main inputs. SEO: your content, technical health and links. GEO: your content plus comparison pages, docs, reviews, roundups and threads, many owned by others.
• Query style. SEO: short keywords. GEO: longer, conversational questions with constraints, such as "best CRM for a 10-person startup under $50 a seat".
• Output. SEO: ten links the buyer chooses from. GEO: three to five names with a reason for each, and often no second page.
• Metrics. SEO: rankings, impressions, clicks. GEO: mention rate, position in answer, share of voice, cited sources.
• Stability. SEO: rankings shift gradually. GEO: answers vary between runs, so you sample.

What is the same

• Crawlable, fast, well-structured pages help both.
• Clear titles, headings and a plain statement of what you do help both.
• Authority helps both: being referenced by trusted, relevant sites.
• Structured data helps machines understand both your pages and your brand.
• Genuinely useful content beats thin content in both.

What our own data shows

We ran unbranded buyer questions ("best [category]", "[competitor] alternatives", "X vs Y") through AI search for 50 software brands. These are the only numbers we quote anywhere on this site, and we quote them as they are.

• 39 of 50 brands (78%) were never named in any answer to their own category's buyer questions.
• All 30 brands that had launched in the previous month scored 0.
• Being known is not enough: an established e-signature tool scored 52/100 and an AI voice tool scored 37/100.
• In 33 of 50 cases the most cited source was a competitor's own website: its "vs" pages, docs and help centre.
• Review sites were the most cited source for only 6 of 50 brands.

Where GEO needs different work

The biggest difference shows up in the sources. In SEO, you mostly compete with other pages for the same keyword. In GEO, the pages that shape the answer about your category may not be about you at all. In 33 of the 50 brands we checked, the most cited source was a competitor's own website. That means the competitor's "vs" page or documentation was, in effect, writing the AI's description of the market.

So GEO adds work that SEO teams do not always own: publishing honest comparison pages, keeping public pricing and docs accurate, pitching the authors of cited roundups, and showing up helpfully in community threads.

Where GEO needs less

• Chasing exact-match keywords matters less. Answers paraphrase and combine.
• Ranking position on one search matters less than being consistently described across several sources.
• Large volumes of generic blog content matter less than a few pages that answer buying questions directly.

How to split your effort

If you already have solid SEO, start GEO with a baseline: 10 to 20 unbranded buyer prompts, the names that come back and the sources cited. Then spend on whatever the source list shows. Many teams find the first month is mostly positioning and comparison pages, which also help SEO.

If you are a new brand with little SEO, do both at once with the same assets: a clear category sentence, a fast site with structured data, public pricing, two or three comparison pages and listings in the directories that appear in your answers. Every brand in our set launched within the previous month scored 0, so expect to build from nothing.

A worked example

Take two project management tools. Tool A ranks on the first page for several category keywords thanks to a large blog. Tool B ranks lower but publishes clear "vs" pages against the three market leaders, keeps public pricing current and has an active, helpful presence in a forum that answers frequently cite.

In classic search, Tool A gets more clicks. In AI answers to "[leader] alternatives" or "[leader] vs [runner-up]", Tool B is more likely to be named, because its pages answer exactly the comparison the model is writing and it appears in a source the model trusts. Neither strategy is wrong; they target different outcomes. The best plan does both with shared assets.

Checklist that serves both

1. 01One plain category sentence in title, H1 and meta description.
2. 02Fast, crawlable pages with canonical URLs and a clean sitemap.
3. 03Organization, Product or SoftwareApplication and FAQPage structured data.
4. 04Public pricing and ungated docs.
5. 05Honest comparison and alternatives pages.
6. 06Mentions in the roundups and communities that rank and get cited.
7. 07Monthly reporting on rankings and on a fixed AI prompt set.

Measuring both together

• Keep a fixed GEO prompt set and re-run it monthly alongside your rankings report.
• Report share of voice against the top three competitors named in answers, which may differ from your SEO competitors.
• Track which cited sources you have won, as a leading indicator before mention rate moves.
• Watch branded search too: AI summaries above branded results often cite a competitor's comparison page.