- Thought leadership that gets cited
- Data-driven research published under your name: category benchmarks, telemetry studies, and comparison data, built to be machine-readable and citation-worthy. You provide the data and a quote. We produce, publish, and pitch it.
- Positioning and competitive narrative
- What makes you the obvious choice, in language that holds up when AI compares you to alternatives. Tested against the questions your buyers actually ask.
- Entity mapping across the sources AI reads
- Wikidata, Crunchbase, LinkedIn, and industry databases. We build and complete your brand entity so AI knows who you are, what category you're in, and who you compete with. When these conflict, AI describes you wrong or leaves you out of the comparison.
- Review platforms and reputation
- G2, Capterra, TrustRadius, and the review surfaces AI reads when buyers ask for recommendations. Run as a demand lever, not a profile to maintain.
- Earned media and industry coverage
- Comparison pages, category roundups, and trade press. Most AI citations come from pages you don't own, so this is where the recommendation gets made. We build the asset and pitch it.
- On-page and technical execution
- Metadata, structured data, llms.txt, and new pages for questions AI can't answer today.
- Comprehension and recommendation reporting
- The same buyer questions measured before and after, connected to comprehension, recommendation behavior, and website outcomes.