No hallucination research.
AI-curated industry news, emerging trend analysis with significance scoring, high-level competitor activity tracking, and a research library (Growth+) where every claim is cited to a crawled URL. When the AI says "teams in your category see X%," there's real evidence behind it.
Most "AI research" is a confident sentence without a source.
Generic AI tools invent statistics to make their answers sound sharp. Optimize Pilot's research layer is citation-enforced: every claim links back to a crawled URL, a research document, or a piece of your own data. Untracked claims don't render. This is the difference between a research assistant and a confident intern.
Intelligence that shows its work.
Industry news filtered for what actually matters to you.
AI-curated industry news scoped to your category, your named competitors, and the keywords that drive your revenue. Significance scoring surfaces trend shifts, not press releases. Think analyst brief, not RSS firehose.
- Category-scoped news ingestion (daily)
- Named-competitor activity tracking
- Significance scoring — trend, not noise
- Auto-surfaced in the weekly briefing
Case studies and benchmarks. Every one cited.
A growing library (Growth+) of case studies, benchmarks, and best-practice patterns — each one tagged by vertical, funnel stage, and experiment category. Every claim links to the source: a crawled competitor page, a public case study, or a research paper.
- Case studies + benchmarks by vertical
- Pattern tagging (funnel stage, test category, industry)
- Citation-enforced — no generic "research shows" claims
- Fed into Navigator's priors for lift prediction
Where the category is going. Not just where it was.
Emerging trend analysis across your tracked market: messaging shifts, pricing pattern changes, new feature categories, sentiment moves. Each trend comes with a significance score and a sample of the underlying evidence.
- Emerging messaging + pricing + feature trends
- Review sentiment analysis across G2, Capterra, Reddit
- Launch velocity tracking — who is shipping, how fast
- Forecast: "this pattern is accelerating / saturating"
The research layer feeds the recommendation layer.
Research isn't a separate surface. Every Navigator recommendation pulls from the research library for its "teams in your category that did X saw Y" claims. That's how Navigator stays grounded instead of generic.
- Navigator priors derived from research library
- Per-recommendation citations visible in the reasoning trace
- First Officer answers cite the library directly
- Research updates feed Navigator recalibration nightly
Under the hood.
Better together.
Ground every decision in evidence.
First citations surface in First Officer answers within hours of signup.