Inspiration
Every GEO tool on the market like Profound, Otterly, Scrunch tells you where you're missing in AI search. None of them do anything about it. I wanted to test whether the action side, actually getting placed on cited sources could be systematized, and whether the old SEO backlink playbook translates to AI citations. I used Rho as the test case.
What I Built
A two-method workflow for AI citation placement, tested against real prompts like "What is the best bank for startups?"
What I Actually Found
The citation-first approach (start from what Perplexity cites → work backwards) is the right mental model. But the execution exposed hard problems:
- Many top-cited sources have no author, no contact page, no guest posting access
- The sites you can guest post on (Adsy marketplace) aren't the ones AI models heavily cite
- Domain Rating and traditional SEO authority metrics barely correlate with AI citations (r=0.18)
- ChatGPT and Perplexity cite from fundamentally different source pools — one workflow doesn't fit both
The Real Takeaway
The alpha isn't the outreach automation, it's the insight that the gap between GEO monitoring and GEO action is where all the value is, and that gap is harder to close than it looks. The companies that win here won't just build dashboards or blast guest post pitches. They'll need to solve the supply-side problem: building a network of high-citation-propensity publishers who are willing to feature brands, which is a marketplace problem, not a software problem.## Inspiration
Built With
- render
- tavily
- yutori
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