SEO vs GEO vs AEO: what each optimizes, how each is measured, and where third-party lists fit

SEO gets your pages ranked in search results. GEO (generative engine optimization) gets your brand named in answers that AI writes, such as ChatGPT, Perplexity and Google's AI Overviews. AEO (answer engine optimization) gets your content used as the direct answer. They overlap heavily: Google says good SEO is good GEO.

The difference that matters most for a B2B SaaS team is where the work happens. SEO is mostly about your own site. GEO and AEO depend a lot on pages you don't own: the third-party "best X" lists, review sites and posts that AI assistants read before they answer. This guide compares the three, shows how to measure each, and says what to do first. For the full how-to on AI answers, read LLM SEO: how B2B SaaS brands get named in AI answers.

What is the difference between SEO, GEO and AEO?

In one line each:

• SEO (search engine optimization) is the work of making pages rank in a search engine's list of results, so people click through to your site.
• GEO (generative engine optimization) is the work of making your brand and content appear in answers that a generative AI writes. The term comes from a 2023 research paper, "GEO: Generative Engine Optimization", which calls it a way to help content creators improve "their content visibility in generative engine responses".
• AEO (answer engine optimization) is the work of getting your content picked as the direct answer to a question. The term is older than ChatGPT: it was used for featured snippets and voice assistants. Today most people use it for AI answers too.

In practice, GEO and AEO are used for nearly the same thing in 2026. Some vendors say AEO, others say GEO, and many use both. Profound, for example, uses "AEO" on its homepage (tryprofound.com). LLM SEO and AI SEO are two more names for the same goal. Don't let the labels slow you down. What matters is the surface you want to show up on and how you measure it.

SEO vs GEO vs AEO: the comparison table

Read the table as three views of one job, not three separate jobs. The same page can rank in Google, be quoted in an AI Overview, and be cited by ChatGPT. The columns differ most in two rows: where the answer comes from, and how you count success.

How do SEO, GEO and AEO overlap?

A lot more than most "GEO vs SEO" articles admit. In June 2026 Brendon Kraham, a VP at Google, wrote a Think with Google piece titled "Good SEO is good GEO". He said Google's generative features, including AI Mode, are "built directly on top of our core ranking systems" (reported by PPC Land). He also said files like llms.txt are not needed, at least for Google Search, and that you don't need to chop content into tiny, artificial snippets.

Google's documentation says the same thing in plainer words. To appear in AI Overviews or AI Mode, "a page must be indexed and eligible to be shown in Google Search with a snippet". There are no extra technical requirements, no special schema and no AI text files to add (Google Search Central).

So for Google's AI features, SEO is the foundation. If your page doesn't rank, it rarely gets quoted. The overlap with AEO is just as large: an answer in the first lines, question-shaped headings and clean tables help a featured snippet, an AI Overview and a chat answer in the same way.

Where they do differ

• One answer instead of ten links. In a results page you can be #6 and still get a click. In an AI answer, you are named or you are not.
• Other people's pages matter more. In Foundation and AirOps's study of 5.1 million AI responses for 50 B2B brands, only 2.24% of citations on category questions (unbranded) went to the brand's own pages (Foundation). Your own SEO cannot cover the other 97.76%.
• Answers move. In Prefer's September 2026 study of 960 answers, repeat runs of the same question shared 96% of cited sites on Perplexity, 68% on Claude, 37% on ChatGPT and 35% on Gemini (Prefer). A ranking is fairly stable from day to day. A chat answer is not.
• Engines disagree. In the same Prefer study, 72.7% of cited sites showed up on only one of the four engines, and 2.2% on all four. Good results on one assistant say little about the others.
• Clicks are not the only win. When Google shows an AI Overview, the top-ranking page gets a 58% lower click-through rate, according to Ahrefs's February 2026 study of 300,000 keywords (Ahrefs). Being named in the answer counts even when no one clicks.

Why does the difference matter for B2B SaaS?

Because buyers changed where they start. In G2's 2026 survey of 1,076 B2B decision-makers, 51% of software buyers now start their research in an AI chatbot more often than in Google. (G2).

For a SaaS brand, the questions that matter most are category questions: "best CRM for a 20-person sales team", "Mixpanel alternatives", "which tool should I use for SOC 2". On those questions, the assistant is not reading your homepage first. It reads what others wrote about your category. That is why a team with strong classic SEO can still be missing from AI answers, and why a smaller brand that sits on the right lists can be named next to much bigger ones.

There is also a link back to search. Seer Interactive found that brands cited in Google's AI Overview get 120% more organic clicks per impression than brands that aren't, across 53 brands (Seer Interactive). That is a correlation, not proof that the citation causes the clicks. But it suggests the two kinds of visibility tend to move together.

Where do third-party lists fit in SEO, GEO and AEO?

Third-party "best X" lists (also called listicles) are one of the main places where the three disciplines meet. In Prefer's July 2026 study of 188 answers from ChatGPT, Perplexity, Gemini and Claude, 40% of the sources cited for buyer questions were independent lists. Vendors' own sites got 34%, review sites 3% (Prefer).

A spot on a list that ranks well does three jobs at once:

1. SEO: the list ranks in Google, so buyers who search "best X software" see your name and can click through. Whether the link is followed or marked rel="sponsored", your name is still on a page that ranks.
2. GEO: the assistant searches the web, finds the list and repeats what it says. If ten lists describe you as "the tool for agencies", the answer will too.
3. AEO: a list with a clear verdict per product ("best for small teams") gives the answer engine a ready-made sentence to quote.

There are three ways onto these lists: earn the spot through outreach and a product worth recommending, pay for a disclosed spot, or publish your own fair comparison pages. Each has trade-offs, and the listicle placements guide covers them in detail.

Where Rank Monthly comes in

Rank Monthly works on this part only. It books businesses into the list articles, newsletters and LinkedIn creator posts that buyers read and AI assistants quote, and keeps them there. Brands pay monthly, only while the spot is live (or once for a new post), and payment is held until the placement is verified live. Publishers connect Search Console, Analytics and WordPress, so the traffic numbers are measured, not typed in. The sponsored label and rel="sponsored" are on by default; each publisher decides whether to keep them.

Be clear about what it is not. Rank Monthly is not an SEO agency, not a GEO tracker, and it doesn't fix your website. It is in early access, it can only place you with publishers who have joined, and it cannot promise rankings or AI mentions: Google and the assistants decide what they show. Pricing is on request during early access. If you only need to know where you stand today, a tracker or a spreadsheet is the better first step.

How do you measure SEO, GEO and AEO?

Measuring SEO

Use Google Search Console, which Google describes as "a free service offered by Google", and Bing Webmaster Tools. Track impressions, clicks, average position and the pages that bring in sign-ups or demo requests. Measure by month, per page and per group of keywords, not by one keyword on one day.

Measuring AEO in Google

Google reports traffic from AI Overviews and AI Mode in the Search Console Performance report, "within the 'Web' search type" (Google Search Central). It is mixed in with normal search data, so you can't split it out cleanly. Watch for pages whose impressions rise while clicks stay flat: that often means you are shown in an answer box or AI Overview.

Measuring GEO in AI assistants

Bing Webmaster Tools added an AI Performance report in public preview on February 10, 2026. It shows how often your pages are cited as sources in Microsoft Copilot, AI summaries in Bing and select partner integrations, and which grounding queries were used (Bing Webmaster blog). For ChatGPT, Perplexity, Gemini and Claude there is no official report, so you measure from the outside:

1. Write 20 to 50 prompts that buyers would really ask, including "best X for Y", "X alternatives" and a few branded questions.
2. Freeze the set, so a change in results is not just a change in questions.
3. Run each prompt at least three times per engine, because answers vary from run to run.
4. Record four things: were you named, were you linked, was the description right, and which sources did the answer use.
5. Report "named in X of Y answers" per month, not a rank.
6. Turn the source list into a to-do list: fix pages that describe you wrongly, and go after the cited lists that don't name you.

You can do this by hand. With more prompts or more brands, a tracker saves time. Tools like Peec AI, Profound and Ahrefs Brand Radar track how often several AI engines name and cite your brand, and how you compare with competitors (Peec AI, Profound, Ahrefs Brand Radar). Compare them in the best AI visibility tools and the best AEO tools.

Is GEO replacing SEO?

No. For Google's own AI features, GEO sits on top of SEO: no ranking, no quote. For the other assistants, many of them search the web before they answer, so pages that rank and get linked are still the ones they find. What changes is the scoreboard. Clicks per ranking fall when an AI Overview shows, and a growing share of buyers never see a results page at all. So you keep doing SEO, and you add a second measure: are you named in the answers, and on which pages does that depend?

Be careful with anyone who sells GEO as a separate trick. Google says no special files, schema or content chunking are needed for its AI features. The research paper that named GEO reports that some content changes "can boost visibility by up to 40%" in generative engine responses (arXiv), but that was measured in a test setup, not on live ChatGPT answers for your category. Treat any big promised lift with care.

What should a B2B SaaS team do first?

Start with what you can check this week, and spend money only after you know where you stand.

1. Check the basics of SEO. Are your key pages indexed in Google and Bing? Do they say in the first lines what the product does, who it is for and what it costs (or how to get a price)? Fix that first: every engine reads it.
2. Run a baseline. Ask ChatGPT, Perplexity, Gemini, Claude and Google 20 buyer questions for your category, three times each. Write down who is named and which pages are cited.
3. List the sources. Group the cited pages: your own site, third-party lists, review sites, LinkedIn posts, Reddit threads, media. In most B2B SaaS categories, the third-party groups will be the largest.
4. Fix wrong descriptions. If an answer gets your pricing, audience or features wrong, find the page it read and get it corrected. Start with your own pages, then ask the publisher.
5. Get onto the cited lists. Pitch the editors of the lists that rank and get cited but don't name you. Where a paid spot is offered, ask for disclosure and measured traffic before you pay. LinkedIn is worth a look too: Semrush found that 11% of AI answers cite LinkedIn, and only one domain is cited more often (Semrush).
6. Publish fair comparison pages. "X vs Y" and "X alternatives" pages on your own site answer the questions buyers ask, and they help in search and in AI answers alike.
7. Measure monthly. Rerun the same prompt set every month and compare "named in X of Y". Decide on tools, agencies or placements after two or three months of data.

If you want help, you have three routes: an agency (see the best GEO and AI SEO agencies for B2B SaaS), a tracker plus your own team, or paid placements on the lists that get cited. For typical prices of each, read what GEO costs. For the step-by-step playbook on AI answers, go to the LLM SEO guide.

Which one should you prioritize: SEO, GEO or AEO?

It depends on where your buyers are and what you already have.

• New site, little content: SEO first. Without indexed, clear pages, nothing else works. Add a monthly AI baseline from the start so you can see change later.
• Strong SEO, weak in AI answers: GEO. Your own site is probably fine; the gap is on third-party pages. Look at which lists and reviews are cited and work on those.
• Lots of question-type searches ("how to", "what is"): AEO habits on every page: answer first, short paragraphs, tables, FAQ. It costs little and helps in all three.
• Category questions decide your pipeline: focus on the "best X" and "alternatives" lists, because they shape both the results page and the AI answer.