CAPABILITY · RESEARCH

Research that shows its work.

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 — or it doesn't render.

Watch 2-min demo ▸

◉ EVERY CLAIM CITED◉ TREND SIGNIFICANCE SCORED◉ GROWTH+ LIBRARY

THE PROBLEM

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.

◆ CAPABILITIES

Intelligence that shows its work.

CURATED NEWS

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

PRODUCT VISUAL — PLACEHOLDER

RESEARCH LIBRARY

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

PRODUCT VISUAL — PLACEHOLDER

TREND ANALYSIS

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 public review and community sources
Launch velocity tracking — who is shipping, how fast
Forecast: "this pattern is accelerating / saturating"

PRODUCT VISUAL — PLACEHOLDER

NAVIGATOR INPUT

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.