When a buyer asks an AI assistant "who's the best [your specialty] in [your market]?", the answer isn't random. AI systems assemble it from the sources they trust. Understanding what they weigh is the new SEO.
AI doesn't rank pages. It weighs evidence.
Search engines rank documents. AI assistants synthesize an answer from many documents and cite the ones that corroborate each other. That distinction changes the game: one great article helps, but consensus across multiple credible sources is what makes an AI state something about you as fact.
The signals that matter
Recognized publications. Coverage in outlets the models already treat as reliable, national press, established trade media, carries far more weight than your own website saying the same thing.
Consistency. If your name, title, company, and story match across five sources, AI repeats them confidently. If every bio says something different, you get hedged, vague answers, or nothing.
Structured data. Schema markup, a real entity footprint, consistent profiles. Machines read structure first and prose second.
Recency. Models and their retrieval layers favor current coverage. A press footprint that stopped in 2019 reads as a business that stopped in 2019.
How to become the answer
Place coverage in multiple recognized outlets telling one consistent story. Support it with clean structured data and active profiles. Then keep it current, a steady drip of placements beats a one-time burst. That's the same system that wins Google, which is not a coincidence: AI assistants learned who to trust largely from the same web Google indexed.
Ready to put this to work?
We place the coverage, book the interviews, and run the amplification, so the theory above becomes your search results.
Build Your Media Plan Book a 15 Minute Call