i.
Audit & baseline
We test 15–20 category queries across ChatGPT, Perplexity, Claude, and Gemini. You get a documented baseline of exactly where you stand — and where your competitors do.
ii.
Entity & technical build
Schema markup, llms.txt, entity disambiguation across Wikidata, GitHub, Crunchbase, and G2. The infrastructure AI models need to recognize and recommend you.
iii.
Content & distribution
Comparison articles, tutorials, and community presence across Dev.to, Reddit, Quora, and review platforms — the exact sources AI crawlers index and trust.
iv.
Measure & report
Monthly citation tracking across all engines. You see exactly when and where AI models start recommending you, with competitive positioning data.