Last year, most marketers worried about ranking on page one of Google. Now the question is whether ChatGPT even mentions your brand at all. Sitefire, a new startup out of Y Combinator's Winter 2026 batch, is building tools to solve that problem.
How It Works
Sitefire monitors how AI search tools - Google's AI Overviews, ChatGPT, Gemini - respond to prompts related to your brand and industry. It submits synthetic queries daily based on your SEO keywords, tracks which pages get cited in AI-generated answers, then suggests (or directly pushes) content changes to improve your visibility.
The technical insight behind the product is worth understanding. When you ask ChatGPT a question, it doesn't just run one search. It fans out your prompt into 3 to 10 follow-up queries, then uses ranking algorithms similar to Reciprocal Rank Fusion (a method for combining multiple ranked lists into one) to decide which sources to cite. Optimizing for that decomposition process is fundamentally different from traditional SEO.
The founders, Vincent and Jochen, come from Stanford with backgrounds in reinforcement learning and software engineering. They say they started the company after talking to marketing teams who were watching their traffic decline from AI Overviews but had no clear playbook for responding.
Early Results
Sitefire claims one client saw AI bot requests jump from roughly 200 to 570 per day within 10 days of optimization. That's a meaningful signal, though it's a single case study from a very young company.
No pricing is public yet. The product integrates directly with existing CMS platforms to push content changes, which suggests they're targeting mid-market and enterprise teams rather than solo bloggers.
AI search optimization is a category that barely existed 12 months ago. Tools like Clearscope and Semrush handle traditional SEO well, but none of them are purpose-built for the specific mechanics of how LLMs select and cite sources. Sitefire is making an early bet that this becomes its own discipline. Given how fast AI Overviews are eating into organic click-through rates, they're probably right that demand is there. The question is whether the optimization tactics stay effective as AI search systems keep changing their retrieval methods.