Quarterly marketing meeting. The managing partner has three proposals on the table. One agency wants to run SEO. A second wants to handle AEO. A third says GEO is the future and the other two are behind.
Three decks. Three scopes. Three people who will each rewrite the homepage. And the partner is wondering if these are even different things.
Here's the short version: SEO wins the click in search results, AEO wins the direct answer, and GEO wins the mention inside an answer from a generative AI assistant. Three scoreboards. One body of work underneath them.
The full playbook lives in our guide to generative engine optimization. This post sorts out the vocabulary.
What is the difference between GEO, SEO, and AEO?
SEO (search engine optimization) is the work of ranking in traditional search results so a buyer clicks through to your site. AEO (answer engine optimization) is the work of becoming the direct answer itself: featured snippets, voice assistants, and Google's AI Overviews. GEO (generative engine optimization) is the work of getting your firm named, quoted, or cited inside answers from generative AI assistants: ChatGPT, Claude, Perplexity, Gemini, and Google AI Mode. Each has a different finish line, and all three draw on the same signals.
| SEO | AEO | GEO | |
|---|---|---|---|
| Goal | Rank high enough to earn the click | Be the answer, often with no click needed | Be named, cited, or recommended in an AI response |
| Where it shows up | Google and Bing results pages | Featured snippets, People Also Ask, voice assistants, AI Overviews | ChatGPT, Claude, Perplexity, Gemini, Google AI Mode |
| What wins | Relevance, crawlable pages, links, authority | Clear question headings with short direct answers, matching structured data | Specific claims, proof from other sources, named citations, consistent facts about your firm |
| How you measure it | Rankings, organic clicks, conversions | Snippet and Overview appearances, impressions | How often you appear across many prompts, run many times, plus inbound leads that cite AI |
The bottom row is where most firms get lost. More on that below.
What is SEO, in plain terms?
SEO is the discipline you already know. A buyer searches, a list of links appears, and you want to be near the top so they click through to your site.
SEO still matters a great deal. Travel Again Advisory, a travel-industry M&A advisory, saw a 1,011% increase in organic search visits year over year after we rebuilt its site for Google and for AI answer engines, and a sell-side client found the firm on Google and hired it.
What has changed is how often that click happens at all.
What is AEO, and why did it show up?
AEO grew out of a simple shift. Search engines started answering questions on the results page instead of just pointing to pages that answer them.
Featured snippets, then voice assistants, then Google's AI Overviews. In every case, one source gets to be the answer, and the buyer may never scroll.
The click data shows the cost. In a July 2025 study, Pew Research Center found that Google users who saw an AI summary clicked a traditional result in 8% of visits, compared with 15% when no summary appeared. Users clicked a link inside the summary itself in just 1% of visits.
So AEO is about being the sentence that gets read, even when nobody clicks. The tactics follow from that. Write question-style headings. Put a two to four sentence answer directly under each one. Use structured data that matches what's on the page. Make it easy for a machine to lift your answer whole.
What is GEO, and how is it different from AEO?
GEO moves the finish line one more step. Generative AI assistants read several sources, synthesize an answer, and often recommend specific firms by name.
A buyer asks who's good at a thing and gets a shortlist. If you're on it, you've been introduced before you knew the buyer existed.
Buyers are doing this now. In Responsive's October 2025 survey of 350 B2B buyers, generative AI has overtaken traditional search for a quarter of B2B buyers, and nearly two-thirds use it as much as or more than search when researching vendors.
The research on what works is encouraging for firms with real expertise. The Princeton and IIT Delhi GEO study (Aggarwal et al., KDD 2024) found GEO methods can boost visibility by up to 40% in generative engine responses. Adding quotations, statistics, and source citations were among the top performers. Keyword stuffing performed worse than doing nothing on the study's main visibility measure.
The models reward what a smart buyer rewards: specific facts, real numbers, and sources you can check.
The difference between AEO and GEO comes down to scope. AEO is usually about one answer to one question. GEO is about whether the model trusts your firm enough to recommend it, which pulls in your reputation across the web: reviews, directories, podcasts, press, and what your clients say about you.
Why are GEO, SEO, and AEO converging?
Because the machines are reading the same things.
Generative AI answers are built, in large part, on web pages the model retrieves at the moment someone asks. In Google Search Central's "AI features and your website", Google states that no special schema, AI text files, or markup is required to appear in AI Overviews or AI Mode. Standard SEO applies, including "making sure your structured data matches the visible text on the page."
The foundation for AI visibility is the same foundation you'd build for search.
Look at what each discipline rewards and you'll see four signals keep showing up:
- Clear claims. Plain sentences that say who you serve, what you do, where, and what happened. Search engines match them to queries. Answer engines lift them as answers. Generative models repeat them as recommendations.
- Structure. Question headings, short direct answers, clean HTML, schema that matches the page. Every engine reads structure.
- Proof. Named client results, case studies, reviews, third-party mentions. Search counts links. AI models weigh what other sources say about you.
- Provenance. Dated, bylined content, credentials, named sources with links. Everyone wants to know where a fact came from.
We organize that work into what we call the CITE Framework: Claim, Instrument, Testimony, Evidence. C is for Claim, the specific sentence a model can lift. I is for Instrument, the structure that makes a page machine-readable. T is for Testimony, the proof other people provide. E is for Evidence, the sources, dates, and bylines that show where your facts came from. Every letter moves SEO, AEO, and GEO at once.
One discipline, three scoreboards
Here's my opinion, and it's a firm one. Stop treating these as three budgets with three vendors.
Picture the managing partner from the top of this post saying yes to all three proposals. Each agency rewrites the homepage a little differently. Within a year, three versions of who the firm serves are floating around the web.
That's poison for AI visibility. Generative models trust consistency. When your website, your LinkedIn page, your Google Business Profile, and a directory listing all describe you differently, the model has no confident sentence to repeat. So it repeats someone else's.
Run it as one discipline with one owner and one story. Then watch three scoreboards:
- SEO scoreboard: organic clicks and conversions from search.
- AEO scoreboard: how often your pages become the snippet or the cited source in an AI Overview.
- GEO scoreboard: how often your firm appears in AI-generated answers to the questions your buyers ask.
Same work underneath all three.
A worked example: one firm, three scoreboards
Say you run a 12-person healthcare consulting firm in Nashville that works with independent physician groups. This is a hypothetical, but it's a very common shape.
Your homepage says, "We provide comprehensive consulting solutions for healthcare organizations." That sentence matches nothing a buyer searches. It answers no question. And no AI model will ever repeat it, because it could describe ten thousand firms.
Now rewrite it: "We help independent physician groups with 10 to 75 providers across Tennessee and Kentucky improve revenue cycle performance and prepare for value-based contracts."
Watch what that one sentence does on each scoreboard.
On SEO, it matches real searches like "revenue cycle consultant for physician groups Tennessee." On AEO, it can sit under a heading like "Who does our firm serve?" and become the lifted answer. On GEO, it's the exact sentence a model needs when a practice administrator asks ChatGPT, "Which consultants help independent physician groups in Tennessee with revenue cycle?"
Add a named client result with a percentage, your managing partner's bio with her credentials and years in the niche, matching Organization and Person schema, and a mention on a state medical group association's site. Every one of those moves helps all three scoreboards.
How do you measure GEO without fooling yourself?
This is where the bottom row of that table bites.
SEO measurement is mature. GEO is slippery, and a lot of people are selling screenshots.
A SparkToro and Gumshoe.ai study, reported by Search Engine Land in January 2026, ran about 3,000 tests of 12 identical prompts across ChatGPT, Claude, and Google's AI. The odds of getting the same brand list twice were under 1 in 100. The same list in the same order was closer to 1 in 1,000. Some brands still appeared in 60% to 90% of responses for an intent. The researchers' advice: track how often you appear across many prompts, run many times, because positions are "effectively meaningless."
So a single screenshot proves very little. Frequency across many runs, and inbound calls, prove much more.
RE/MAX Commercial Advisors Group, a Houston commercial real estate brokerage, is a good example. In 2026 we restructured the firm's site content for AI answer engines. Afterward, Patrick J. Buckhoff, CCIM, who leads the brokerage, reported: "Recently I've gotten three calls inbound that people found us online. Two from chat, one from Claude." That's the GEO scoreboard that matters most: real buyers saying where they found you.
For the full measurement setup, read how to measure AI visibility. For the page-level work that earns citations, read how to make your website citable by AI.
What should a service firm do first?
Start with the pages that describe you. Your homepage, about page, and core service pages are the citable core of your site. Rewrite them so each one makes a specific, checkable claim. Add question headings and short answers. Make your schema match the visible text. Allow the AI crawlers in your robots.txt.
Then work outward: named case studies with percentages, bios with credentials, consistent descriptions on LinkedIn and Google Business Profile, and mentions on podcasts and association sites. The generative engine optimization playbook walks through each step in order.
Frequently asked questions
What is the difference between GEO, SEO, and AEO? SEO earns a ranking in search results so someone clicks through to your site. AEO makes your content the direct answer in featured snippets, voice assistants, and Google's AI Overviews. GEO gets your firm named, quoted, or cited inside answers from generative AI assistants: ChatGPT, Claude, Perplexity, Gemini, and Google AI Mode.
Is GEO replacing SEO? No. Generative AI tools build many of their answers from pages they retrieve from the web, so a site that is crawlable, well structured, and trusted in search is also the raw material for AI answers. GEO adds a new scoreboard on top of SEO groundwork. Skip the groundwork and GEO has nothing to stand on.
Do I need a separate agency or budget for GEO and AEO? Most B2B service firms don't. The same work moves all three: specific claims, clean structure, real proof, and named sources. Splitting them across three vendors usually produces three conflicting versions of your story, which is the opposite of what AI models reward.
How do you measure GEO results? Track how often your firm appears across a set of buyer prompts, run many times, across several AI tools. A SparkToro and Gumshoe.ai study found brand lists rarely repeat, so a single screenshot proves very little. Pair that frequency count with inbound leads who say they found you through an AI tool.
What is the fastest way for a service firm to start on all three? Rewrite your homepage, about page, and core service pages so each one states who you serve, what you do, where, and what happened, in plain sentences. Add question headings with short direct answers, and make sure your schema matches the visible text. That one pass improves your SEO, AEO, and GEO at the same time.
If you want to know which of the three scoreboards your firm is losing right now, let's look at it together.