Fenn
Get recommended by AI.
What is Fenn?
Fenn.sh helps businesses improve their visibility across AI-powered search and answer platforms. As more people use ChatGPT, Gemini, Claude, Perplexity, and Grok to discover products and services, getting recommended by AI is becoming an important part of online visibility.
Fenn tracks how these platforms mention your business and helps identify opportunities to improve your website. Instead of simply showing where your brand appears, Fenn helps turn insights into action by drafting website fixes and new pages designed to make your business easier for AI systems to understand and reference.
From improving existing content to identifying gaps in your website, Fenn helps you work toward better AI visibility without manually figuring out every change yourself. It is designed for founders, marketers, agencies, and growing businesses that want to stay visible as the way people search continues to evolve.
You remain in control throughout the process. Fenn prepares recommendations and drafts, while you approve changes before they are published. This gives you a practical way to work on AI visibility while maintaining control over your website and brand messaging.
3. Key Features
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AI Visibility Tracking: Monitor how ChatGPT, Gemini, Claude, Perplexity, and Grok mention your business.
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Brand Mention Monitoring: Understand where your business appears in AI-generated answers.
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Website Improvement Suggestions: Identify content gaps and potential website improvements.
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AI-Friendly Page Drafting: Generate draft pages intended to help AI systems better understand your business.
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Content Optimization: Discover opportunities to make your website content clearer and more useful.
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Actionable Recommendations: Turn AI visibility insights into practical next steps.
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Human Approval Workflow: Review and approve changes before they go live.
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AI Search Optimization: Support your efforts to improve your brand's visibility across AI-powered discovery platforms.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Pre-2023, unless you were building a marketplace, the idea that you would want to or be able to monetize your users in the first 5 or 10 years was pretty crazy. ChatGPT anchored a lot of people on $20 a month if not more, and when you incorporate usage-based pricing you can have whales paying hundreds if not thousands of dollars a month.
ChatGPT anchored consumers on $20/mo — the $60/yr ceiling is dead
For a decade pre-AI, consumer apps couldn't monetize directly — users were the product, you served ads. ChatGPT trained a generation to pay $20/month, and that's the new floor, not the ceiling. The willingness-to-pay shift benefits every consumer app, not just AI ones.
I've taken all of our almost 16,000 reviews in the App Store and very manually gone through and created value propositions and problem-solution statements using the words that are coming out of our users' mouths and how they were explaining the product. I don't think anybody in the world understands this customer better than we do.
Mine your app store reviews to build value propositions in the user's own words
Before writing a single TikTok script, Stewart systematically mined 16,000 App Store reviews to extract the exact language users used to describe their problem and Ladder's value. This verbatim vocabulary informed every hook, every CTA, and every coach's messaging. The result: creative that resonated because it mirrored what target users already believed about their own fitness journey, not marketing language invented in a boardroom.
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