MentionMachine
Check what AI answer engines read on your site and say about you
AI & Machine Learning·Marketing
What is MentionMachine?
MentionMachine tells a business how it looks to AI answer engines, in two steps.
Step one is free and takes about twenty seconds. Enter a domain and the scan reads up to five pages the way a crawler does. It reports eleven checks: whether GPTBot, OAI-SearchBot, PerplexityBot and ClaudeBot are allowed in, whether there is an llms.txt, what structured data the site carries, whether the business details are stated, FAQ content, titles and descriptions, share tags, headings and the sitemap. Each result is fine, partly there or missing, with the code to fix it.
Step two is a one-time licence for one domain, $99 or $149, with no subscription. It asks ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews the questions customers really ask, keeps every answer with its date and model, and marks whether the business was recommended, mentioned, cited or absent. It then generates schema, an llms.txt, a robots.txt patch and FAQ answers from the site's own content, so the fixes can be pasted in and the scan run again to compare.
It is made for local service businesses and the agencies that look after them, and written in plain language.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
if you've only you know grown via you know just sort of like organic traction and organic like magnetism and you've you've gone through like many sort of cycles of app or product iteration to sort of optimize the product for that group of people... then you've optimized for the group that's that at the greatest potential scale of your of your product is a minority
Optimising for Organic Users Tunes the Product for the Minority at Scale
Organic users are self-selecting, high-intent early adopters who look very different from the mass-market paid users who represent 60–80% of daily installs at scale. If you've only A/B tested with organic users, you've tuned the product for a minority. Bringing in paid traffic early reveals what the majority of future users actually need.
You don't need a new idea. There's plenty of ideas out there, problems that have been solved that you could improve upon, and while you're improving upon that you might find a niche within that industry. Weightly is a perfect example. I competed with the giants like OpenTable and found a little niche where I can serve the small restaurants that are underserved.
Skip Novel Ideas And Find The Underserved Niche Inside A Solved Billion-Dollar Category
Joe rejects the 'novel idea' trap entirely. His framework is to pick a solved problem with billion-dollar incumbents, then find the slice they neglect. For him that was small restaurants priced out of OpenTable's cover fees and hundreds-per-month plans — a market the giants couldn't economically serve.
There's a play for whatever you're stuck on.
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