AEO vs SEO: How They Differ and What It Means for B2B Teams

SEO (search engine optimization) helps your pages rank in search results and earn clicks. AEO (answer engine optimization) helps AI tools like Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini pull and cite your content in their answers. They share a foundation but target different surfaces and success metrics. Most B2B teams need both.

For example, say you publish a comparison post. It ranks third for a high-intent keyword and pulls steady traffic. Six months later, a buyer asks ChatGPT the same question, and a competitor gets cited instead of you. The page still ranks, but that buyer never sees you.

The split keeps growing. BrightEdge tracked AI Overviews triggering on 82% of B2B tech queries by early 2026, up from 36% a year earlier. And when an AI summary appears, Google users click a traditional result about 8% of the time, vs. 15% without one.

This guide covers how SEO and AEO differ, what they share, and what our own study of 7,387 AI citations says about where AEO effort actually pays off for B2B. Then we walk through the six steps we use with clients to optimize for both on one content budget.

Key takeaways

• SEO earns rankings and clicks. AEO earns citations and mentions inside AI answers, including AI Overviews. Same foundation, different surfaces and metrics.
• Strong search visibility makes AI citations a lot more likely. AI tools pull from content that's already indexed, credible, and easy to parse.
• At the evaluation stage, AI cites what you publish. In Ten Speed's study of 7,387 AI citations across 170 B2B evaluation-stage prompts, 88% went to content brands control and product pages led at 24%.
• Reddit and YouTube matter less than the advice suggests for B2B buyers who are comparing vendors. Community sources earned about 4% of evaluation-stage citations.
• One content program can cover both. Upgrade the pages that already rank, rewrite product and homepage copy for clarity, and measure citations alongside traffic.

What is AEO vs SEO?

SEO is the practice of optimizing pages to rank in search engines like Google and Bing and drive clicks to your site. AEO is the practice of making your content easy for AI systems to find, trust, and cite when they generate an answer. Put simply, SEO gets you on the results page and AEO gets you into the answer.

You'll also hear AEO called generative engine optimization (GEO) or large language model (LLM) optimization. The names differ depending on who's talking, but the work is the same. We believe AEO will be the winning label, which is why we use it.

A simple example: Someone searches "what is product-led growth." SEO decides whether your post shows up on page one. AEO decides whether Google's AI Overview, or ChatGPT, pulls a sentence from that post and names you as the source.

AEO vs SEO: Key differences at a glance

SEO and AEO differ in where they show up, what they aim for, and how you measure them.

Goals

• SEO: Rank for target keywords and turn that traffic into leads. Success comes down to clicks and conversions.
• AEO: Make your brand part of the answer. Success comes down to how often you're cited or named, even when nobody clicks, and whether that visibility sends buyers back to you through branded searches and direct visits. That's why zero-click visibility has to count for something in how you report.

Content formats

• SEO: Rewards depth. Thorough guides, pillar pages, and detailed comparisons show topical authority.
• AEO: Rewards passages that stand on their own. AI tools lift a single paragraph, table row, or FAQ answer from a page, so each section should open with a direct answer that makes sense out of context.

The best pages do both. A 2,000-word B2B guide can carry a 50-word answer block at the top.

Technical signals

• SEO: Leans on Core Web Vitals, clean metadata, internal linking, and crawlability.
• AEO: Uses the same foundation, then adds schema markup and consistent naming for your company, products, and category.

Success metrics

• SEO: Rankings, organic traffic, click-through rate (CTR), and conversions from organic visitors.
• AEO: How often you're cited, brand mentions, share of voice across a tracked set of prompts, and AI referral traffic, plus the direct traffic AI visibility drives (many AI tools strip referral data, so those visits often show up as direct). We cover how to track them together below.

What SEO and AEO have in common

Most of the work overlaps. If your SEO foundation is solid, you're already most of the way to AEO.

• Crawlable, indexable pages. Search engines and AI crawlers both need to reach and read your content. A page blocked in robots.txt or rendered only in JavaScript is invisible to both.
• Topical authority. Covering a subject from several angles helps you rank, and it makes AI tools more likely to treat you as a reliable source.
• Trust signals. Named authors with real expertise, current data, and mentions from credible sites support both rankings and citations. Our guide to experience, expertise, authoritativeness, and trustworthiness (E-E-A-T) covers these in depth.
• Clear structure. Descriptive headings, short sections, and direct answers help Google understand a page and help AI lift the right passage.

Is AEO becoming the umbrella over SEO?

AEO builds on SEO, and it's heading toward being the bigger label. The point of ranking in Google used to be the click. Now a growing share of buyers get their answer from an AI Overview or a chat tool first. If your SEO work earns rankings so AI tools can find, trust, and cite you, then SEO is increasingly in service of AEO.

That shift is still underway. AI tools that search the web pull from pages that are already indexed and trusted, so strong search visibility makes citations a lot more likely. Plenty of searches still end in a click, too. A B2B buyer comparing four vendors wants more than a 60-word AI Overview. They'll dig into product pages, pricing, and reviews before deciding.

Treat SEO as the foundation and AEO as the goal that foundation increasingly serves. Search is splitting across more surfaces, and buyers move between Google, AI Overviews, and chat tools depending on the question. Your strategy should cover all of them.

What AI actually cites when B2B buyers compare vendors

When buyers are comparing vendors, AI mostly cites content brands publish themselves. That's the main finding from Ten Speed's study of 7,387 AI citations across 170 evaluation-stage prompts, tracked in ChatGPT, Perplexity, Claude, and Gemini. Search Engine Journal covered the findings.

That changes the AEO vs SEO question, because most AEO advice rests on broad, informational queries. We looked at the prompts closest to a buying decision: comparisons, alternatives, use cases, integrations, and pricing.

Three takeaways for how you split AEO and SEO effort:

• Your product pages are AEO pages. They drew roughly a quarter of all citations. AI reaches for the page built to answer what a product does, who it's for, and how it handles a use case. Clear, specific product copy helps conversion and citations at once.
• Your homepage defines you to AI. Homepages earned 8% of citations, since models pull them when they need a basic description of your company. Say plainly what you sell, who it's for, what category you're in, and what you integrate with.
• Comparison content earns more than its share. About 27% of citations came from comparison prompts, well above their share of the prompt set. Most B2B teams under-invest in "X vs. Y" pages.

Where off-site signals fit

Off-site signals still count, just unevenly. Review profiles earned 7% of citations, so your G2 and Capterra copy, category, and integration list are content worth managing. Mentions in credible listicles and industry coverage support both rankings and citations.

Community sources are a different story. Reddit, YouTube, and forums earned about 4% of evaluation-stage citations, and YouTube alone was close to zero. They may play a bigger role earlier, when buyers are still learning a category. For B2B, fix the pages you already own before chasing Reddit threads. We dig into that debate in Session #13 of the Ten Speed Sessions podcast and in why Reddit is a red herring for B2B marketers.

How AEO and SEO work together on one page

One page can win both surfaces. Here's an example from our own site. (Yes, it's a list of agencies, and yes, we're on it. We'd be pretty bad at this if we weren't.)

In October we published a roundup of the best B2B growth agencies. That month it averaged position 6.6 in Google, with top-5 rankings for queries like "best organic growth agencies for B2B SaaS companies." That's SEO working. Since it went live, AI answers have cited it 103 times across the prompts we track, in Google AI Mode, AI Overviews, Perplexity, ChatGPT, and Gemini, usually as the second source listed. That's AEO layered on top.

We think two things are doing the work. The page answers a high-intent question buyers ask when they're building a shortlist, which is where comparison content performs best. And we keep our roundups current as agencies, pricing, and offerings change, so search engines and AI tools keep treating them as a reliable source.

SEO got the page discovered and indexed. AEO made it easy to extract and cite. Both rest on the same basics: clear structure, authority signals, and direct answers.

For B2B teams, that means one article can drive organic traffic and earn AI citations. That's one content budget covering both.

Beyond Google

Most teams start with Google AI Overviews because Google still owns most search traffic. But ChatGPT, Perplexity, Claude, Gemini, and Microsoft Copilot each pull sources their own way, and they don't always agree.

One plan covers them. Pages with clear answers, consistent naming, and real authority tend to travel across platforms. Track all of them, though. Strong visibility on one platform says little about the others.

When to lead with SEO, AEO, or both

Every page needs both, but the page type decides which one leads.

If search engines can't find a page, start with SEO. If it ranks but never gets cited, start with AEO.

Six steps to optimize for AEO and SEO on one content budget

Lean B2B teams can't afford two content strategies. The practical move is layering AEO onto your existing SEO work, starting with the pages most likely to pay off.

1. Add answer blocks to pages that already rank

Start with pages ranking in the top 10. They already have the authority AI tools trust. Add a 40 to 60 word paragraph near the top that directly answers the page's main question, then open each major section with a one-sentence answer that matches its heading.

Here's an example for a post on customer onboarding:

Customer onboarding is the process of guiding new users from signup to first value. Good onboarding reduces churn, speeds up time to value, and grows expansion revenue. Most B2B SaaS companies measure it with activation rate, time to first value, and 30-day retention.

The answer block sits on top of your depth. Readers who want more keep scrolling.

2. Rewrite product pages and your homepage for clarity

Product pages and homepages earned nearly a third of evaluation-stage citations in our study. Yet most lean on clever positioning over clear description.

For each product page, answer the questions a buyer would ask a chatbot: what it does, who it's for, what it integrates with, and how it handles specific use cases. On your homepage, state your category and audience in plain words above the fold.

3. Build comparison content earlier

Most B2B teams create "X vs. Y" pages reluctantly, only against two or three direct competitors, and only after sales asks. Comparison prompts drove about 27% of citations in our data. Build these pages before you need them, and cover alternatives pages too.

4. Keep your naming and profiles consistent

Use the same product names, feature names, and category terms across your site. If one page calls your product "workflow automation software" and another calls it a "process management tool," AI has a harder time connecting either one to you.

The same goes for off-site profiles. Check that your G2 and Capterra listings use the right category, list current integrations, and describe the product the way your site does.

5. Earn links and mentions to the pages you want cited

Backlinks are still a core ranking signal, and credible mentions reinforce the authority AI looks for. Point link-building and digital PR at the pages you want cited as well as the ones you want to rank. Prioritize industry publications, credible listicles, and original research others will reference.

6. Make every important page crawlable and indexable

This is usually the easiest win on the list. The more crawlable and indexable your site is, the better it performs in both search and AI answers. A page Google hasn't indexed won't rank, and AI tools that search the web are unlikely to find it either.

Most of the fixes come down to cleanup:

• Internal linking: Link to the pages you want found from related pages, so crawlers reach them in a few clicks. Our internal linking guide covers how.
• Pruning: Remove or noindex thin and outdated pages that dilute your site.
• Consolidating: Merge overlapping posts that compete for the same query into one stronger page.
• Removing duplicate content: Pick one canonical version of each page and redirect the rest.

Then keep your schema consistent. Use the same Organization, Product, and Article markup across every page, with the same names and details your copy uses. Conflicting schema sends mixed signals about who you are and what you sell. A technical SEO audit shows you where to start.

How to measure AEO and SEO together

Measuring AEO and SEO together means redefining "organic." We count three sources as one number: organic search traffic, AI referral traffic, and direct traffic. Then we split organic search into branded and non-branded queries to see where demand is coming from.

Why direct traffic belongs in "organic"

Many AI tools don't pass referral data reliably. A visit that started in ChatGPT often lands in analytics as direct. Direct traffic also captures buyers who saw your brand in an AI answer and later typed your domain or searched for you by name. If you leave direct out, most of that influence never shows up in your reporting.

Track the traffic and tie it to pipeline

Last-click attribution misses most AI influence, so watch these together:

• Organic search traffic, split into branded and non-branded queries in Search Console. Rising brand queries often follow rising AI visibility.
• AI referral sessions in Google Analytics 4 (GA4) from chatgpt.com, perplexity.ai, and similar sources.
• Direct traffic, especially to product and pricing pages.
• Self-reported attribution. Add "ChatGPT or another AI tool" as an option in your "How did you hear about us?" field.

Roll these into one view with your core SEO metrics: rankings, conversions, and pipeline. We look at engaged sessions across organic, direct, and AI referral together, because buyers move between all three before they convert.

Use prompt tracking, but hold it loosely

Prompt tracking is the least settled part of AEO measurement, and it's changing fast. It's still worth doing. Just treat it as directional (i.e., a read on where you show up, not an exact count).

Start with what you can already see. The pages earning AI referral traffic or showing up as cited sources tell you which prompts you're visible for. Back into your prompt set from there, then build a system to improve visibility on the prompts that matter most to your business. That likely starts with high-intent keywords (the ones closest to a buying decision).

Tracking more prompts more often gives you a clearer picture, but staying focused counts for more than volume. Build your set around the questions your brand should be cited in: comparisons, alternatives, use cases, and vendor shortlists. Write prompts the way real buyers ask: "Best CRM for a 12-person sales team" beats "best CRM." Then map every relevant prompt to a funnel stage so you can see where you show up and where you're missing.

Informational, top-of-funnel prompts are the hardest to measure. Search keyword volume is a decent directional proxy for how often people ask those questions, but prompt volume estimates from AI visibility tools aren't reliable yet.

Track your prompts across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews with an AI citation tracking tool. Keep cost in mind: Most tools charge by prompt volume, models, and run frequency, so budget limits how much you can track and how often. Until tracking gets cheaper, you're better off with a smaller set of focused prompts than a big list you can only afford to run weekly. We use Peec AI for our clients and our own site. Watch four signals:

• Citations: How often an AI answer links your page as a source.
• Mentions: How often AI answers name your brand, linked or not.
• Share of voice: Your share of mentions vs. competitors across the prompt set.
• Sentiment: Whether AI describes you accurately and favorably. A mention only helps if the answer gets you right.

Putting AEO and SEO to work together

SEO gets your pages into the set of sources AI tools pull from. AEO makes it more likely they cite you. For B2B, the pages that matter most for both are the ones you already own: product pages, your homepage, comparison content, and the guides that already rank.

Your current content budget can cover both. Upgrade what's working, fix the pages closest to the buying decision, and track citations next to traffic.

Ten Speed runs this combined AEO and SEO approach for B2B companies across SaaS, fintech, and professional services. If you're comparing partners, our roundup of the best AEO agencies breaks down how each one works. Or book a call to talk through your goals and get a tailored proposal.

Frequently asked questions

Is AEO replacing SEO?

Not replacing it, but it may become the umbrella term. AEO builds on SEO, and strong search visibility makes AI citations a lot more likely. As more buyers get their answers from AI, though, SEO increasingly works in service of AEO.

Is AEO the same as GEO?

Mostly, yes. Generative engine optimization (GEO) and LLM optimization describe the same goal: getting your brand cited and named in AI-generated answers. The tactics overlap almost completely.

Which pages should a lean team optimize first?

Start with pages ranking in the top 10 and add answer blocks to them. Then rewrite your main product pages and homepage for clarity, since those earn a large share of citations when buyers compare vendors.

Do Reddit and YouTube matter for B2B AEO?

Less than most advice suggests, at least near the buying decision. In our study of 7,387 evaluation-stage AI citations, community sources earned about 4%, while content brands control earned 88%. They may play a bigger role earlier, when buyers are still learning a category.

Does schema markup help you get cited by AI?

Schema helps AI tools understand what a page is and who published it, and it supports some rich results in Google. Schema alone rarely earns citations, though. Clear answers and real authority do most of the work.

How many prompts should I track for AEO?

Start with the prompts closest to a buying decision and add more as your budget allows. Tracking costs money, so a smaller, focused set usually tells you more than a long list of top-of-funnel questions. Write them the way buyers actually ask, and tag each by funnel stage.

What's the difference between SEO, AEO, and SEM?

SEO earns organic rankings. AEO earns citations in AI answers. SEM (search engine marketing) is paid search, the ads above organic results. All three can work together in one search strategy.