3 ms·
Show HN: Potatometer – Check how visible your website is to AI search (GEO)
Most SEO tools only check for Google. But a growing chunk of search is now happening inside ChatGPT, Perplexity, and other AI engines, and the signals they use to surface content are different.
Potatometer runs multiple checks across both traditional SEO and GEO (Generative Engine Optimization) factors and gives you a score with specific recommendations. Free, no login needed.
Curious if others have been thinking about this problem and what signals you think matter most for AI visibility.
- apswin 8mo agoHey HN, creator here. Happy to answer questions on how the scoring works. Potatometer checks both traditional SEO signals and GEO factors, things like structured data, citation-friendliness, entity clarity, and topical authority, then gives you specific actionable fixes rather than just a score. Also building out AI citation scoring and a content roadmap for AI search visibility if anyone is interested in that direction.
- taariqlewis 8mo agoFor a GEO site, Web Fetch can't work? "The page is JavaScript-rendered so WebFetch can't see the results."
- apswin 8mo agoThis is actually a broader web fetching limitation, not specific to Potatometer. Most AI crawlers like GPTBot face the same challenge with JS-rendered sites, which is itself a GEO signal worth knowing. I am exploring headless rendering to get around it. What site were you testing?
- maxxmini 8mo ago[flagged]
- apswin 7mo agoThanks. Both of these are making it into the roadmap. The semantic internal linking cluster point is particularly interesting, most tools treat internal links as a PageRank signal but you’re right that LLMs parse them differently. And the specificity of claims check is something I hadn’t explicitly scored for but makes intuitive sense given how RAG systems work. Adding both.
- 13pixels 7mo agoThe JS rendering point is critical. Even though bots like GPTBot technically have headless capabilities, they often fall back to text-only extraction for non-priority pages to save compute. We see a lot of "invisible" content in e-com especially because of this. One other signal to check: internal linking structure. AI crawlers seem to respect semantic clusters more than traditional pagerank flow. If your "about" page isn't semantically linked to your "product" page in a way the LLM understands as a relationship, it often hallucinates the connection.
- apswin 7mo agoThanks for the detailed feedback. Those are the next items on my list now. Will add headless browser research capabilities to go around java script issues. Will also add semantic clustering check. Seems like you are quite well versed with the space. Would you be open to sharing some interesting resources or getting on call with me to share if you have struggled with this problem and what your workflow looks like?