GEO vs SEO: What Changes When You Optimize for AI Answers

SEO earns a ranking on a search results page. GEO (generative engine optimization) earns a mention, a recommendation and a citation inside an answer written by ChatGPT, Google AI Mode, AI Overviews, Perplexity, Gemini or Copilot. The two disciplines share most of their foundations. They differ in their goal, their research inputs, the content they favor, the off-page work they need and the way you measure them.

At Flying Cat we run GEO and SEO as one program for every B2B SaaS client. I lead the strategy on each account. Freelance specialists who know the client's vertical handle content, outreach and technical work. This guide explains what changes between the two disciplines and what stays the same, based on what we see in client data every month.

The audience for AI answers is now too large to treat as a side project. OpenAI reported 900 million weekly ChatGPT users in February 2026. Google said in July 2026 that AI Mode passed 1 billion monthly users and that it had merged AI Overviews and AI Mode into one Search experience. Your buyers ask these tools which software to shortlist before they ever visit your site.

What SEO and GEO each optimize for

SEO is the practice of getting your pages to rank in Google and Bing for the queries your buyers type. Success means a high position, a click and, ideally, a conversion such as a demo request or a free trial signup.

GEO is the practice of getting your brand named and your pages cited when an AI assistant answers a buyer's question. Success means the assistant recommends you, describes your product accurately and links to your content as a source. Many people call the same discipline AEO (answer engine optimization). We use the terms interchangeably. Our Ultimate Guide to AEO covers it chapter by chapter.

An AI answer gets built differently from a results page. The assistant breaks the buyer's prompt into several related searches, reads the pages those searches return and writes one synthesized answer with a handful of cited sources. Google calls this process query fan-out. Our chapter on how answer engines work walks through it in more detail.

GEO vs SEO at a glance

Where GEO differs from SEO

The goal is a recommendation and a citation

In SEO, the page is the unit of success. In GEO, the brand is the unit of success. An assistant can recommend your product without citing any page on your site, because it drew the recommendation from a review site or a listicle. It can also cite your page while recommending a competitor.

We track both outcomes separately for that reason. A citation shows the assistant trusts your content as a source. A recommendation shows it considers your product a fit for the buyer's need. The enterprise procurement platform we work with went from being named in 76% to 88% of ChatGPT category answers in four months. Over the same program, the share of ChatGPT answers citing the company's own site rose from 25% to 41%.

Prompt research replaces part of keyword research

Keyword research still drives SEO. GEO adds prompt research, because buyers write longer, more specific questions to an assistant than they type into Google. A prompt like "best procurement software for a manufacturer with SAP and 40 plants" rarely shows up in a keyword tool.

Prompts are now trackable. Platforms such as Scrunch run a defined prompt set through each assistant on a schedule and record which brands appear, in what context and with which citations. We use Scrunch across our client accounts. Each tracked prompt runs about 75 to 80 times a month across eight AI assistants, which gives a stable read on how often a brand appears.

We build each client's prompt set from three sources.

• Voice of customer. Sales call notes, support tickets, community threads and forum posts show how buyers describe their problem and which alternatives they compare.
• Google Search Console. Long, question-shaped queries in Search Console are often prompts typed into Google. They reveal phrasing and use cases a keyword tool misses.
• Query fan-outs. The sub-searches an assistant runs to build its answer show which topics and pages it looks for. We pull fan-out data from category-level prompts and use it to decide which pages to build and which third-party sources to pursue.

We keep the set commercial. Each prompt covers a different buying intent, such as a feature, an industry, a company size or a competitor comparison, so the set spans the category instead of repeating one head term in ten wordings. Our prompt research chapter and the chapter on query fan-out explain the method step by step.

Content shifts toward the product

SEO programs often grow through top-of-funnel educational content. AI assistants answer generic "what is" questions directly, so those pages earn fewer clicks and rarely earn a recommendation. GEO content focuses on the product. It explains what the product does, who it fits, how it compares with alternatives and what it costs to adopt.

Leapsome is a good example. We swapped generic top-of-funnel topics for buying guides, implementation guides, checklists and templates. Leapsome's mentions in Google AI Overviews grew 5x from March to August 2025. Visits from AI assistants converted to demo requests at more than twice the rate in Q3 2025.

At D2L, the product marketing team supplied approved positioning. We reworked every competitive page around it. That included best-LMS roundups by use case, alternatives pages and head-to-head comparisons. We also refreshed 10 to 15 pages a month, since AI assistants favor recently updated content. D2L went from appearing in 12% to 33% of tracked AI answers and moved from 11th to 7th among learning platforms. Monthly AI citations of d2l.com pages grew nearly 4x in a single quarter.

Product-focused GEO content works best when product managers stay close to whoever runs the program. They know the integrations, the limits and the differentiators that an assistant needs to describe accurately. Our guide to competitor comparison landing pages covers one of the formats that performs well in both channels.

Off-page work targets the sources AI cites

SEO link building aims for authority. Any relevant, trusted domain that links to you helps. GEO outreach aims for specific pages, namely the roundups, review sites and industry publications that assistants cite for your category's prompts. A mention on one heavily cited listicle can shift your visibility more than dozens of generic links.

D2L's outreach moved from general link building to the third-party roundups that appear as sources in AI answers. For the AI customer service platform we work with, we scored a placement before recommending it. One roundup was cited in 33 AI responses across six buying prompts and appeared in 45% of Copilot answers to the client's core category question. The client appeared in 7% of those answers at the time. We estimated the placement could lift the client's visibility on those prompts roughly 3 to 4 times.

We track AI mentions separately from SEO links, because the target lists come from different data. GEO targets come from the cited URLs in Scrunch. SEO targets come from authority and topical relevance. Our off-site visibility chapter and our link building service describe both approaches.

Measurement uses visibility across a prompt set

SEO reporting rests on rankings, clicks and organic conversions. GEO reporting needs different metrics, because an AI answer has no stable position to rank in.

SparkToro and Gumshoe tested this in research published in January 2026. Volunteers ran 12 recommendation prompts nearly 3,000 times across ChatGPT, Claude and Google's AI features. The same list of brands came back less than once in 100 runs. The same list in the same order came back about once in 1,000 runs. Rand Fishkin concluded that a "ranking position in AI" metric is unreliable. He also found that the percentage of answers that mention a brand, measured across many prompts and many runs, is a reasonable metric.

That finding matches how we report. We measure GEO with four signals.

1. AI visibility. This is the share of answers across the agreed prompt set that recommend the brand.
2. Citations. This counts how often the client's own content appears as a source.
3. Direct and branded traffic growth. Buyers who hear about a product in an AI answer often search for the brand or type the URL.
4. AI bot traffic. Server logs show how often retrieval and training crawlers from AI companies fetch the site.

Share of voice sits on top of visibility. It compares the client's mention rate with that of its named competitors, much like market share. Mentions and citations rank ahead of clicks in our reports, since many AI answers satisfy the buyer without a click.

Pipeline attribution needs one more step. AI visibility does not map directly to deals in a CRM, so we add a "Where did you hear about us?" field to demo and signup forms. Self-reported attribution then shows how many prospects first met the brand in an AI assistant. Our measurement chapter covers the reporting setup.

Where GEO and SEO overlap

Technical access and crawlability

An assistant can only cite a page it can fetch and read. Crawlability, indexation, rendering, canonical tags, internal linking and page speed support both disciplines. Vercel found that none of the major AI crawlers rendered JavaScript, so content that only appears after client-side rendering can be invisible to them.

For the AI tax research platform we work with, a JavaScript-rendered crawl showed that 99.9% of the Canadian answer pages redirected client-side to their US versions. The pages returned a 200 status code and carried hreflang tags, so a plain crawl would have missed the problem. Fixing issues like this helps Google rankings and AI citations at the same time. Our chapter on whether AI can read your site and our technical SEO service go deeper.

Content quality, clarity and freshness

Both channels reward expert content with clear headings, direct answers near the top of each section, named entities and specific facts. A page that states plainly what a product does, which integrations it supports and who it serves gives Google a strong relevance signal. The same page gives an assistant a quotable passage. Our explainer on entities in SEO covers how clear naming helps both systems connect your brand to your category.

Freshness counts in both channels too. We refresh pages with substantive changes, such as new data, new features or new comparisons. A changed date with no new content does not count as a refresh. Our content reoptimization strategy explains how we pick pages.

Rankings still feed AI answers

Search rankings remain one of the strongest inputs to AI answers, though the link has loosened. Ahrefs found in July 2025 that about 76% of AI Overview citations came from pages in Google's top 10. Its March 2026 update put the figure at about 38%, with the rest coming from pages ranking deeper or for related sub-queries. Ahrefs attributes the change to query fan-out. A page that ranks for the many related searches behind a prompt has a better chance of citation than a page that ranks for the original query alone.

Good SEO raises your odds of appearing in AI answers. It no longer guarantees it, which is why the GEO-specific work above makes a difference.

Why we run GEO and SEO as one program

Splitting GEO and SEO into two vendors or two teams creates duplicate audits, competing content calendars and conflicting reports. The technical fixes, the content and much of the outreach serve both channels at once. We plan them together. When you compare GEO agencies, ask each one how its AI search work connects to its SEO work.

A combined program at Flying Cat usually follows this order.

1. Technical cleanup first. Older sites often carry pages from an outdated SEO strategy. We fix crawl and rendering issues and prune or redirect pages that dilute the site.
2. Prompt set and baseline. We agree on the commercial prompts with the client and record baseline visibility, citations and share of voice alongside rankings and conversions.
3. Decision-stage content. We build and refresh the product, comparison, alternatives and use-case pages that buyers and assistants both look for. At the enterprise procurement platform, one decision-stage page converted at 17%, against 0.24% for high-traffic educational pages. That data decided where the content budget went.
4. Targeted off-page work. We split effort between links that support rankings and mentions on the pages AI assistants cite. On several accounts we split the budget roughly down the middle between content and listicle outreach.
5. One report. Monthly reports show rankings, organic and AI-sourced conversions, AI visibility and citations together, so leadership sees one picture.

Our GEO and AEO service runs on this model. Our process page shows how an engagement starts.

How long GEO takes to show results

AI mentions build over time, but we have seen measurable movement within the first two months. For the AI tax research platform we work with, the first two months of the program produced these changes.

In the same window the client gained 9.1 points of AI presence. Its largest legacy competitors gained 2.3 and 2.8 points. D2L's case study reports a similar pattern, with movement inside the first 60 days.

Citations usually move first, because you control your own pages. Recommendations depend more on third-party sources and take longer.

How to fix wrong information about your brand in AI answers

Assistants sometimes describe a product with outdated pricing, missing features or a competitor's positioning. Correcting this takes sustained work in a specific order.

Start with your own site. Assistants read your pages when they fetch information about you, so pricing, feature, integration and comparison pages need to state current facts clearly and consistently. At the ecommerce marketing platform we work with, the client's own site grew from 14.9% to 20.5% of the sources AI assistants cited in a single month in July 2026, while competitor sources fell by half.

Then move to third-party sources. Review sites, directories, partner pages and the listicles that assistants cite all shape the answer. We request corrections where facts are wrong and pursue updated listings where the brand is missing. The process takes months, because assistants refresh what they retrieve at different speeds.

Outdated GEO advice to drop

Several GEO tactics from 2023 and 2024 no longer work, based on client data and on changes in the platforms themselves.

• Adding FAQ and HowTo schema for rich results. Google removed HowTo rich results and limited FAQ rich results to well-known government and health sites in 2023. Clear on-page questions and answers still help readers and assistants. The rich result benefit is gone for nearly every B2B site.
• Assuming prompts are invisible. Prompt tracking tools now record how assistants answer a defined prompt set. Search Console also shows many prompt-style queries. You can research and measure prompts directly.
• Reporting an "AI ranking." As the SparkToro research shows, positions inside AI answers change on almost every run. Visibility percentage across many prompts gives a dependable trend.
• Building strategy on early academic benchmarks alone. The 2023 GEO studies tested synthetic setups that predate AI Mode, current ChatGPT search and query fan-out at scale. Use your own prompt data to decide what to change.

FAQ

Is GEO replacing SEO?

GEO extends SEO. Assistants still rely on search indexes and on pages that rank for the sub-queries behind a prompt, so a weak SEO foundation limits GEO results. Google search also keeps sending buyers to your site, so we optimize for both channels.

Is GEO the same as AEO?

GEO and AEO describe the same discipline. Both mean optimizing to be recommended and cited in AI-generated answers. Some practitioners use AEO for Google's AI features and GEO for chat assistants, though the work overlaps almost entirely.

Can you do GEO without SEO?

You can pursue third-party mentions without SEO, but your own pages will earn few citations if assistants cannot crawl them or if they rank for none of the related searches. We run technical and content work for both channels together.

Which tools track GEO performance?

Prompt tracking platforms such as Scrunch measure brand visibility, citations, sentiment and share of voice across AI assistants. GA4 and server logs show AI referral sessions and AI crawler activity. A "Where did you hear about us?" field on forms connects AI visibility to pipeline.

If you want to see how your brand appears in AI answers today and what a combined GEO and SEO program would change, book a call with me.