What You'll Learn
How AI Search Is Transforming Product Discovery
The way customers find and evaluate products has fundamentally changed. When someone has a problem today, they're opening multiple AI tools simultaneously—ChatGPT, Claude, Perplexity—and asking the same question across all of them to see what answers emerge. This shift represents a massive opportunity for SaaS products that understand how to position themselves in AI-powered search results.
Tanya Van Gastel, founder of RankingOnAI.com, works with high-growth SaaS companies like Suno and Coda to drive visibility in both traditional search and AI recommendation engines. Her APEX framework provides a practical roadmap for getting your product recommended by ChatGPT and featured in Google's AI Overviews.
Understanding How AI Search Actually Works
When you ask ChatGPT for a product recommendation, it doesn't invent answers from nothing. The AI retrieves information from indexed sources, summarizes that content, and presents recommendations based on what it finds. You can see this in action by scrolling to the "sources" section below any ChatGPT response—those citations reveal exactly where the AI pulled its information.
This creates a clear pathway for visibility: if you want AI to recommend your product, you need to be present in the authoritative sources that AI systems index and cite. The good news? There's significant overlap with traditional SEO. Research shows 88% of ChatGPT citations come directly from Google's search index, and there's a 38% overlap between first-page Google results and AI source citations.
The APEX Framework for AI Visibility
Authority: Building Your Foundation
Authority means appearing as the solution when someone asks for help solving a specific problem. The most effective approach is creating high-quality listicles that AI models read and cite. Zapier demonstrates this perfectly with articles like "The 9 Best Marketing Automation Tools in 2025"—and naturally, Zapier appears as the top recommendation in their own comprehensive comparison.
These aren't spam pages. They're genuinely useful resources that compare solutions, explain tradeoffs, and help readers make informed decisions. The key is providing real value while positioning your product as a legitimate contender.
Presence: Focusing on Quality Over Quantity
Presence means being discoverable across both AI search and traditional Google search. Here's a crucial insight: about 50% of SaaS SEO revenue comes from fewer than 10 high-performing pages. These "money pages" or "whales" drive the bulk of traffic and conversions.
Ahrefs provides a compelling case study. Their blog traffic from Google grew from zero to 9,000 clicks through focused, high-quality content—not mass-produced AI spam. This demonstrates that good traditional SEO remains the foundation for AI visibility.
Google still drives approximately 200 times more traffic than ChatGPT, and critically, that traffic is attributable in your analytics. ChatGPT recommendations rarely include clickable links, and when they do, users don't always click. Often they copy the tool name and Google it separately, making attribution nearly impossible.
Expertise: Creating Money Pages That Convert
Your expertise shows through in specialized, product-focused content that competitors can't easily replicate. Notion exemplifies this with their product-led SEO approach, creating detailed guides on specific use cases like project management, documentation systems, and team collaboration—all demonstrating Notion's capabilities.
Zapier takes a similar approach with workflow-specific content, showing exactly how to automate particular processes using their platform. This content serves dual purposes: it ranks for specific search queries while simultaneously demonstrating product value to potential customers.
The AI Content Question
Many founders wonder if they can simply generate hundreds of pages with AI and achieve SEO success. The answer is nuanced: AI doesn't lower the content quality floor—it raises the ceiling for what's possible with human-AI collaboration.
If you publish 500 AI-generated articles that anyone with a ChatGPT subscription could create, you're not adding unique value. Google may not index these pages, and in extreme cases, might classify your entire site as spam. The algorithmic risk is real.
Instead, use AI as a force multiplier for creating genuinely unique content. Take your meeting recordings from tools like Granola or Fireflies, export your internal documentation, and use AI to help structure and refine content that only your company could produce. The best performing content is human-written with AI support, particularly for tasks like creating comparison tables, structuring complex information, and ensuring clarity.
Endorsements: Leveraging External Validation
While the talk didn't fully explore this component in the excerpt, endorsements refer to third-party validation and citations. When authoritative sites mention or review your product, those signals contribute to your overall AI visibility. This is why PR, partnership content, and customer case studies on external sites matter for discoverability.
Extractability: Making Content AI-Readable
Extractability means structuring your content so AI systems can easily parse, understand, and cite it. This includes using clear headings, structured data, and the BLUF principle (Bottom Line Up Front)—leading with key information rather than burying it in lengthy introductions.
Practical Implementation Strategy
Start by identifying your potential money pages—the 5-10 topics most relevant to your ideal customers' search behavior. Research what currently ranks for these queries and what ChatGPT cites when asked similar questions.
Create comprehensive, genuinely helpful content that goes beyond surface-level information. Include:
- Detailed comparisons with honest tradeoffs
- Specific use cases with step-by-step guidance
- Real examples and data from your product experience
- Clear structure that's easy for both humans and AI to parse
Publish thoughtfully rather than in bulk. Quality and uniqueness matter far more than volume. Each piece should provide value that generic AI-generated content cannot match.
Monitor your results through traditional SEO metrics while staying aware that AI recommendation traffic may not appear in your analytics. Success in AI visibility often manifests as increased branded search volume and direct traffic as users discover your product through AI recommendations then search for you directly.
The Future of Product Discovery
AI-powered search represents a fundamental shift in how customers discover solutions, but it builds on established SEO principles rather than replacing them. The companies that will win in this new landscape are those creating genuinely valuable content that serves human needs while being structured for AI comprehension.
The APEX framework provides a clear path forward: build authority through quality content, establish presence across search platforms, demonstrate expertise with unique insights, gather external endorsements, and ensure your content is easily extractable by AI systems. Focus on the money pages that drive real results rather than chasing vanity metrics through content volume.
As AI search continues evolving, the fundamentals remain: create something useful, make it discoverable, and ensure it provides value that generic alternatives cannot match.
