Episode 853 | How to Become the SaaS That AI Recommends

The podcast discusses Generative Engine Optimization (GEO) as an evolution of traditional SEO, driven by the rise of AI in search. Ross Hudgens explains that while SEO remains foundational, GEO expands optimization to include offsite factors like affiliate mentions, third-party reviews, and visibility in AI-generated responses. His book on GEO was motivated by the need to document best practices as AI reshapes search, emphasizing tactical strategies for businesses to become top answers in both traditional and AI-driven results. A case study highlights how a Fortune 100 company shifted from SEO to an AI Transformation team, prompting agencies like Siege Media to adapt by expanding into GEO services.

Key content strategies for B2B SaaS companies include creating "Best X" and "X vs. Y" comparison articles, which are highly effective for visibility in LLM-generated responses. These article types are favored by AI models for surfacing recommendations, especially in niche markets. Best practices include focusing on specific use cases rather than claiming overall superiority, incorporating deep research and competitor analysis, and updating content regularly. The discussion also covers the influence of platforms like Reddit and YouTube, which are frequently cited by LLMs, and the value of earning mentions in affiliate roundups and influencer content. For early-stage founders, the focus should be on generating customer reviews, securing directory listings, and tracking brand mentions in AI outputs to build long-term visibility.

• What if you created a "Best X for Y" roundup targeting an underserved SaaS niche this week?

  • Move: Identify a low-competition, high-intent keyword (e.g., "best WhatsApp support tools for small teams"), then publish a well-researched, visually supported article with competitor pros/cons and branded screenshots.
  • Why Now?: LLMs increasingly pull from "Best X" content, and early-mover advantage exists in niches where affiliate roundups are sparse - especially with rising AI search traffic.
  • Expected Upside: Increased visibility in AI-generated responses, higher referral traffic from LLMs and Google, and potential inclusion in influencer or directory citations.

• What if you published a "Your Product vs. Competitor" comparison page within the next 7 days?

  • Move: Launch a neutral, data-driven "Wasapi vs. Respond.io" (or similar) page with side-by-side features, use-case breakdowns, and real screenshots - optimized for queries like "WhatsApp tool comparison."
  • Why Now?: "Versus" content is underrated but highly correlated with LLM traffic; competitors are slow to adopt due to legal fears, creating a gap to exploit.
  • Expected Upside: Capture down-funnel users, improve LLM citation rates, and build SEO moat through unique, link-worthy content that ranks for commercial intent queries.

• What if you paid a niche SaaS YouTuber to review your tool next week?

  • Move: Use PartnerStack or YouTube search to find 3 - 5 creators reviewing tools like yours, then offer $300 - $500 for an honest video review mentioning key differentiators.
  • Why Now?: YouTube is the second-most-cited source by LLMs; video transcripts are indexed and influence AI-generated answers - giving fast-tracked credibility.
  • Expected Upside: Earn indirect LLM visibility, boost referral traffic, and generate third-party validation that strengthens both GEO and traditional SEO performance.

• Audit your existing content to identify opportunities for creating "Best X for Y" roundup articles focused on specific use cases, then publish and update them quarterly to improve visibility in both traditional search and LLM-driven results.
• Develop comparison ("X vs. Y") content for your top competitors using neutral, research-backed framing, including pros and cons, to increase chances of being cited by LLMs and capturing down-funnel traffic.
• Proactively encourage customers to leave reviews on third-party platforms like G2, Capterra, and Reddit, as these are used by LLMs and affiliate sites to generate recommendations and influence search visibility.
• Use traditional SEO tools (e.g., Ahrefs, SEMrush) to find high-volume search queries, then adapt those into natural language prompts (e.g., "What is the best X for Y?") to align content with how users interact with AI search engines.
• Identify and pay to be listed in niche software directories or affiliate roundups (e.g., TechnologyAdvice, SelectSoftwareReviews.com), as these placements can generate early citations that LLMs may treat as organic signals, creating a visibility snowball effect.