Every SaaS marketer eventually asks the same question: "How do we get AI to recommend us?" And every time, they expect a single answer — one tactic, one channel, one magic lever. There isn't one.
Generative Engine Optimization is the result of three distinct inputs working together. Remove any one of them and the whole thing falls apart. Think of it like a three-legged stool, except the stool determines whether ChatGPT tells 200 million users about your product or pretends you don't exist.
At Empact Partners, we’ve pressure-tested this formula across dozens of SaaS partnerships over the last two years. It's not a framework we brainstormed on a whiteboard. It's an operating model backed by real citation data from Qvery — our AI search tracking agent.
| GEO Component | What It Is | Why AI Engines Care |
|---|---|---|
| Website Content | Product-led content, schema markup, structured data, passage-level answers | Provides the citable passages AI engines pull from directly |
| Third-Party Mentions | EAO placements, review sites, publications, podcast appearances | External validation signals that build entity trust and authority |
| UGC | Reddit, forums, community discussions, organic user recommendations | Authentic social proof — close to 20% of AI citations come from Reddit alone |
All three required. No exceptions. The brands showing up in AI search results have all three running in concert. The brands wondering why they're invisible are usually missing two and underinvesting in the third.
Website Content — The Foundation You Own
Your website is still the most important asset in your marketing stack. That hasn't changed. What has changed is what makes content effective.
Traditional search rewarded keyword-optimized pages matching search intent. AI search rewards something different: passages containing genuine expertise, unique data, or perspectives that don't exist anywhere else. AI engines don't cite your page because it ranks well. They cite it because a specific passage answers the user's question better than anything else they've found.
What AI-citable content looks like
The throughline: uniqueness. AI engines have access to the entire internet. If your content says the same thing as 500 other pages, there's no reason to cite yours. If it contains something that can only come from your product, your data, or your experience — that's a citation waiting to happen.
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When we partnered with Linearity, we focused on building product tutorials and design-workflow guides that only Linearity could write. The result: 250K+ monthly organic sessions, 11 million downloads, and a content library AI engines now regularly cite when recommending design tools.
Third-Party Mentions — The Validation You Earn
AI engines don't trust brands talking about themselves. Would you? If someone at a dinner party said "I'm the smartest person in this room," you'd back away slowly. But if three other people independently told you "that person really knows their stuff," you'd pay attention.
AI engines work the same way. Your website says you're great. But what does the rest of the internet say? Third-party mentions transform your brand from self-proclaimed expert into recognized one. And AI engines heavily weight this signal when deciding who to recommend.
Where mentions come from
Mentions are different from traditional backlinks. A backlink is a hyperlink. A mention is your brand being discussed, referenced, or recommended — link or not. AI engines understand context. They don't need a hyperlink to know an article is talking about your product.
- Review sites — G2, Capterra, TrustRadius, Product Hunt. AI engines cite these heavily.
- Comparison and listicle articles — "Best [Category] Tools" articles that already rank and get cited by AI engines. Getting added through Existing Article Outreach is one of the most efficient mention-building tactics.
- Industry publications — TechCrunch, SaaStr, specialized blogs. A mention here carries significant authority.
- Podcasts and webinars — Show notes and indexed transcripts become citable sources.
- Expert roundups — Being quoted in someone else's article builds entity recognition.
The key metric isn't how many mentions you have — it's how many exist on pages AI engines actually cite. Qvery shows exactly which domains appear most frequently as citation sources in your category. Those are the domains where your mentions matter most.
Our work with flair shows what focused mention building looks like. Over three years: 1600% organic traffic growth and 500+ DR40+ backlinks — all from systematic EAO campaigns placing flair in the articles AI engines already cite.
UGC — The Social Proof You Can't Fake
User-generated content is the pillar most SaaS companies completely ignore. UGC is content created by actual users — not your marketing team, not a hired PR consultancy, not paid influencers. Real people sharing real experiences in places other real people read. (Radical concept, we know.)
Reddit is the single largest UGC source for AI search. Close to 20% of all AI citations come from Reddit. But UGC extends to forums, Quora, Stack Overflow, HackerNews — anywhere users organically discuss products.
Why UGC is the hardest pillar to build
You can hire writers for website content. You can run outreach campaigns for mentions. But you can't manufacture authentic user discussion. Well, you can try — the way you can try to convince a cat to enjoy bath time. It doesn't end well.
AI engines and communities are remarkably good at detecting inauthenticity. Reddit moderators actively police commercial activity. Building genuine UGC requires a fundamentally different approach.
This pillar takes the longest to build. Website content and mentions can show results in 3-6 months. Genuine UGC momentum typically takes 6-12 months. But once it's working, it's the most durable competitive advantage in AI search — because it's the hardest for competitors to replicate. Our partnership with KKday proves the point: 3M+ Reddit post views and 4K+ upvotes from a sustained UGC investment.
How The Three Pillars Reinforce Each Other
| When this pillar is strong... | It makes the others stronger because... |
|---|---|
| Website Content | Great content gives third-party authors something to link to and users something to share. It fuels both mentions and UGC. |
| Third-Party Mentions | Mentions drive traffic to your website and increase brand awareness, which generates more user discussion. |
| UGC | Authentic user endorsements make third-party authors more likely to mention you and make your website content more trustworthy. |
When all three are working, you get compounding. Citations drive awareness. Awareness generates discussion. Discussion becomes another source AI engines cite. The cycle reinforces itself.
When one pillar is missing, the other two work harder for less. Great content and UGC but no mentions? Credibility without reach. Mentions everywhere but weak content? Traffic to a site that doesn't convert. Content and mentions but no UGC? You're missing the authentic validation AI engines increasingly prioritize.
Building The Engine: 3 To 6 Months To Momentum
GEO isn't a campaign you launch. It's an engine you build. Here's the realistic timeline based on what we've seen across our partnerships.
Months 1-2: Foundation. Audit website content for AI-citability. Identify highest-impact mention opportunities using Qvery citation data. Begin Reddit and community engagement. This phase is research and preparation — the results come later.
Months 3-4: Momentum. New content starts getting cited. First EAO campaigns land placements. Community engagement generates organic discussions. You'll see early signals in Qvery — small upticks in visibility score and citation count.
Months 5-6: Compounding. The three pillars start reinforcing each other. AI engines consistently include your brand in responses. Share of voice moves measurably. The flywheel kicks in.
This isn't fast. If someone promises AI search dominance in four weeks, they're selling you something that rhymes with "bull sit." But the advantage of the slow build is that once it compounds, your competitors who waited are now 6 months behind — and the gap only widens.
We've been running this formula for our partners since before "GEO" was a commonly used term. If you want to see what it looks like tailored to your SaaS category, that's a conversation we'd love to have.
