Ryan Howard @ryhowww - Twitter Profile

ryhowww retweeted

6 months ago

If you run a SaaS and aren’t generating strong traffic from Google or ChatGPT… Here is an exact step by step guide to fix that. No strings attached. Let’s start with the main problem: SaaS buyers do not discover products the way they did 2 years ago. They Google your reviews and actually verify that they are legit. They ask AI systems before they ever book a demo. Google still relies heavily on authority and topical relevance. ChatGPT, Gemini and Perplexity rely heavily on reputation signals, expert validation and product clarity. If you want demand from both, you need overlap. That overlap looks like this: Clear product positioning Authoritative backlinks and mentions Consistent brand and product entity signals Structured, extractable product content Strong engagement and conversion signals If you do not understand what I just said, stop immediately and scroll all the way down to my first reply to this post. If you do, keep going. First, lock down your positioning. Generic SaaS does not get recommended. AI systems associate trust through specificity and co occurrence. “AI powered platform” means nothing. “Customer support software for B2B teams handling over 10,000 tickets per month” means a lot. Your homepage must clearly communicate: Who the product is for What problem it solves What category it belongs to What makes it different What outcome it drives If a human cannot explain your product in one sentence, an AI system cannot either. Next, build trust where AI models already look. Most SaaS teams focus only on their own blog. AI engines learn trust from off site validation. Examples that work right now: Industry publications and newsletters Founder interviews and podcasts with transcripts Product reviews and buyer guides Comparison and alternative pages on third party sites Customer stories published outside your site Original research and benchmarks These mentions reinforce your product entity. This is how AI engines learn you are safe to recommend. Next, create AI parseable product and problem content. Long marketing pages do not get cited. AI engines extract answers. Structure your content so it can be quoted. Use: H2 questions with two to three sentence answers first TLDR or Key Takeaways sections Clear feature to benefit mappings FAQ blocks with schema Use case and industry pages Comparison and alternative pages Examples that perform extremely well: “How to choose a customer support platform for B2B SaaS” “Intercom alternatives for growing teams” “Best onboarding tools for product led growth” Gemini and Perplexity often surface these sections verbatim. Next, turn proof into permanent assets. SaaS teams love shipping features. AI engines love evidence. Turn your wins into structured content. Repurpose: Customer quotes Case studies Public roadmap wins Usage milestones Revenue or efficiency improvements Turn them into: Dedicated case study pages Blog posts with metrics YouTube videos with transcripts Public documentation and changelogs Mention your product name, category, and use case naturally. Next, target prompt style searches. SaaS buyers ask full questions. Your content should mirror how they speak. Examples: “What software helps reduce churn” “Best tools for onboarding new users” “Is [Product Name] worth it” Use Ahrefs or SEO Stuff and prioritize: Commercial intent Moderate difficulty Natural language phrasing Always front load a direct answer before expanding. Next, clean up your technical foundation. AI engines do not trust slow or messy sites. Your checklist: Fast mobile performance Clean URLs No duplicate pages Logical internal linking between features, use cases, and docs Valid SoftwareApplication, Product, Review, FAQ, and Organization schema Allow AI crawlers Your site is your product knowledge base. Treat it like one. Next, own branded search and comparisons. If Reddit threads or review sites control your narrative, you are exposed. Create branded content like: “Is [Product Name] legit” “[Product Name] reviews” “[Product Name] vs competitors” “[Product Name] alternatives” This increases branded search and reinforces product trust. Next, optimize for conversion. Traffic without activation is wasted. AI engines observe engagement. High engagement validates trust. What works: Clear CTAs Free trials or demos Simple signup flows Strong social proof near CTAs Email onboarding sequences Retargeting ads for site visitors Faster engagement creates stronger trust signals. Finally, track the right metrics. Measure: Branded search growth Demo or trial starts AI Overview and ChatGPT citations Time on page and scroll depth Repeat visits Off site product mentions These signals correlate directly with inbound demand. Most SaaS companies today: Rely heavily on paid acquisition Have vague positioning Publish unstructured content Lack third party validation Which is why they are non-factors in ChatGPT, Gemini, Perplexity and increasingly Google. Follow this roadmap and your product will start appearing where buyers actually research software now. And if you want the private cheat codes we use to get SaaS products cited inside ChatGPT and AI Overviews in 30 to 60 days: Follow me RT Comment “SaaS Guide” You must do all 3 for the DM.

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Ryan Howard

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