Launch HN: Sitefire (YC W26) - Automating actions to improve AI visibility | Hacker News
Briefly

"Many case studies, few actual studies. Constant battle against myths (e.g. you need a llms.txt vs. you don't need a llms.txt) and 'GEO hacks'. We try to be more data-driven."
"While Google performs a single search, AI search engines expand the user prompt into 3-10 fan-out queries. The sourced pages are ranked using a classified algorithm similar to Reciprocal Rank Fusion (RFF)."
"Our goal is making sure brands have the right content that makes it through this funnel. We integrate with the client's network logs and Google Analytics to monitor the increase in AI bot requests and human referrals."
Sitefire provides a platform for brands to improve visibility in AI search by monitoring synthetic prompts derived from SEO keywords. The system captures responses from various AI engines, analyzes sourced pages, and identifies content improvements. By integrating with client networks and analytics, Sitefire tracks increases in AI bot requests and human referrals. The approach aims to combat declining traffic due to AI Overviews by ensuring brands have optimized content that effectively navigates the AI search funnel.
Read at Ycombinator
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