Impetuous is an AI-native media company. Our engine finds underserved search demand, builds useful assets around it, and compounds a portfolio of properties it publishes, monitors, and refines on its own.
Enormous numbers of keywords have real demand and weak supply, but each is too small for a human content team. A page might be worth ~$20/year in display — nobody builds it.
If an agent can find, produce, publish, and measure that page for a few dollars, the economics flip. Search stops being a per-page decision and becomes a portfolio game. The long tail nobody can afford to serve is our name and our market.
We don't sell the engine. We own its output.
Keyword & competitor discovery. SERP-intent analysis.
Rank each opportunity by expected value per unit of authority.
Asset type: table, dataset, calculator, directory, ranking, benchmark.
Agents produce and edit assets from primary data.
Quality gates and citation-worthiness checks before publish.
Ships to domains we own with internal linking and refresh cadence.
Ranking, backlinks, clicks, revenue — labeled cohort by cohort.
Outcomes feed selection. Later cohorts rank and monetize better than earlier ones.
Tools and agencies see the draft, never the P&L. We see both — and it's the outcome data, fed back into selection, that compounds.
As generic AI text loses clicks, durable value concentrates in structured, data-backed assets — the kind answer engines cite and buyers still click through to act on.
Side-by-side buyer research.
Primary data that earns citations and backlinks.
Interactive tools with buyer intent.
Structured coverage of a category.
Opinionated ordering with evidence.
Reproducible measurement anchors.
A single site plateaus. A decision engine that sharpens with every published asset doesn't. Every property the engine operates makes the next selection decision better — marginal properties get cheaper to launch and likelier to rank.
// optimize expected value per unit of authority, not article count
Grew Litespace's site 0 → 500K monthly visits. Scaled Searcle AI to ~$500K contracted ARR in 6 months. Ex-Bridgewater, IMC.
Systematic trader at Susquehanna (SIG). Algo-dev intern at Hudson River Trading. Builds the agentic systems and data pipelines.