AEO & GEO for SaaS: how to get cited in ChatGPT

A growing share of buyers no longer start at Google. They ask ChatGPT "what's the best tool for X," or let Perplexity hand them a shortlist. If your SaaS isn't in those answers, you're invisible to them, no matter how well you rank on traditional search. Getting into AI answers is its own discipline, and it has two names you'll see everywhere: AEO and GEO. Here's what they are and how to actually win them.

What are AEO and GEO?

Answer Engine Optimization (AEO) is the practice of optimizing your content to be served as the direct answer to a question, in places like Google's AI Overviews, featured snippets, and voice assistants. Generative Engine Optimization (GEO) is the practice of getting your brand mentioned and cited inside the answers that generative AI tools produce, like ChatGPT, Perplexity, Claude, and Gemini.

The two overlap heavily and people often use them interchangeably. The simplest way to hold them apart: AEO is about being the answer; GEO is about being in the answer. Both are about one thing that traditional SEO wasn't built for, getting chosen by a machine that's writing a response, not just ranking a list of blue links.

AEO vs SEO vs GEO: what's the difference?

Traditional SEO optimizes to rank a page in a list of search results, where the user then clicks through to your site. AEO and GEO optimize to be the answer itself, or a cited source within it, often with no click at all. The goals differ in a few important ways:

• The unit of success. SEO wins a ranking position. AEO/GEO win a mention or citation inside a synthesized answer.
• What's being optimized. SEO weighs heavily on your own pages and backlinks. GEO depends a lot on what the whole web says about you, because the model is summarizing many sources at once.
• Format. AI engines favor content that's clearly structured and directly answers questions, so they can lift a clean, quotable statement.

They're not rivals. AEO and GEO sit on top of good SEO, they don't replace it.

Why this matters for SaaS founders now

For SaaS specifically, this shift hits early in the buying journey. Founders, operators, and buyers increasingly open ChatGPT and ask "what's the best [category] tool for a [type of company]," and act on the three or four names it returns. If you're not one of them, you never even enter the consideration set, and you'll never see it happen in your analytics, because there was no click to track.

How AI engines decide what to cite

No one has the exact recipe, but the patterns are clear from how these systems work. AI assistants tend to surface and cite sources that are:

• Clearly relevant and well-structured. Content that answers the question directly, near the top, in plain language the model can lift.
• Corroborated across the web. If many independent sites describe you the same way, the model is far more confident citing you. This is the single biggest factor and the one founders underrate.
• Authoritative. Established domains, real expertise, and recognizable brands get more trust, the same signals that help in SEO.
• Fresh. Recently updated content is more likely to be pulled for fast-moving topics.
• Machine-readable. Clean HTML, structured data, and crawlable pages make you easier to parse and quote.

How to get your SaaS to show up in ChatGPT

Here's the actual playbook, in priority order.

1. Be the clear answer on your own site

Write answer-first. Put a direct, quotable response in the first sentence under each heading, use real questions as headings, and add an FAQ with structured data. The page you're reading is built this way on purpose. Make it trivially easy for a model to extract a clean statement about what you do and who you're for.

2. Earn third-party mentions

This is the highest-leverage move and the one most founders skip. Because AI answers synthesize many sources, getting described consistently across the web matters more than any single page you own. Get genuinely useful mentions on Reddit and Hacker News, in industry roundups, on review sites like G2 and Capterra, and in other people's "best tools" articles. The more the web corroborates what you do, the more confidently AI will name you.

3. Win the "best X" and comparison queries

A huge portion of AI recommendations are pulled from listicles and comparison content ("best [category] tools," "[competitor] alternatives"). Get included in the ones that already rank, and publish your own honest comparisons. These pages are the raw material AI assistants quote when someone asks for a recommendation.

4. Add structure and clean technical signals

Use schema markup (Organization, Product, FAQ), keep your site fast and crawlable, and make your key facts unambiguous and consistent. Some teams also publish an llms.txt file, an emerging proposed standard that summarizes a site for AI crawlers. Adoption is still early, so treat it as cheap insurance, not a silver bullet.

5. Build your entity presence

Help the models know you exist as a real entity. Keep your brand description consistent across your site, LinkedIn, Crunchbase, G2, and anywhere else you appear, and earn a presence in the places models trust as references. Consistency across these sources is what lets an AI confidently connect the dots to your brand.

6. Measure and iterate

You can't improve what you can't see. Track how often AI assistants mention your brand for your target prompts, and which sources they cite, then double down on what's working. Tools like Ahrefs Brand Radar and dedicated AI-visibility trackers exist for exactly this.

Perplexity and Google AI Overviews

The same fundamentals apply across engines, with small differences in emphasis. Perplexity leans heavily on citations and tends to favor fresh, well-sourced pages, so clear content and third-party corroboration go a long way. Google's AI Overviews draw on Google's existing index, so strong traditional SEO and structured content carry over directly. ChatGPT blends its training with live web results, which is why broad, consistent web presence matters so much. Optimize for the principles, not one tool, and you'll show up across all of them.

Does traditional SEO still matter?

Yes, more than ever. AEO and GEO are built on the same foundation: authoritative, well-structured, widely-referenced content. The pages that rank on Google are often the same ones AI engines pull from, and Google's own AI Overviews run on its search index. Don't abandon SEO for AEO, layer AEO and GEO on top of a solid SEO base. Our SEO for SaaS guide covers that foundation.

How to measure your AI visibility

Start simple: write down the 10 to 20 prompts a buyer would actually type ("best [your category] for [your ICP]"), and check how often you're mentioned across ChatGPT, Perplexity, and Google AI Overviews. Then use a dedicated tracker to monitor mention frequency, share of voice versus competitors, and which sources get cited. That citation list is gold, it tells you exactly which third-party pages to go earn mentions on next.

Common AEO and GEO mistakes

• Only optimizing your own site. The web's consensus about you matters more than any single page. Earn the mentions.
• Burying the answer. If a model has to dig, it won't quote you. Lead with the clear statement.
• Ignoring comparison and review content. That's where most AI recommendations come from.
• Treating it as a one-off. AI answers shift constantly; this is an ongoing motion, not a project.
• Dropping SEO. You'd be kicking out the foundation AEO and GEO stand on.

When to bring in help

AEO and GEO are new enough that most SaaS founders are figuring it out from scratch, while also trying to build the product and run the rest of go-to-market. The work, structuring content, earning third-party mentions, getting onto comparison lists, and tracking AI visibility, is exactly the kind of thing a fractional go-to-market partner runs for you.