Kompyte

Kompyte is competitive intelligence automation software that helps sales and marketing teams track competitor activity and turn it into sales-ready battlecards.

By automatically monitoring updates across sources like websites, reviews, content, social and social ads, and job postings, Kompyte helps teams stay current without manual tracking. AI filters out noise and delivers actionable competitive updates via AI Daily Summaries—so teams can spend less time researching and more time selling.

Kompyte’s battlecards are designed for day-to-day sales workflows. Battlecard templates curate key intelligence from multiple sources, and bi-directional CRM and sales tool integrations help deliver updated battlecards and reports where reps work. The platform also supports win/loss analysis and quantitative + qualitative insights, including interview takeaways via IcebergIQ research partner workflows.

What does Kompyte automate for competitive intelligence?

Kompyte automatically tracks competitor updates across many sources such as websites, reviews, content, social and social ads, and job postings. AI then filters out noise and highlights actionable changes.

How are battlecards kept up to date?

Battlecards are generated from curated, sales-ready intelligence and updated as new competitive insights are surfaced. The goal is to keep battlecards consistent, current, and usable in day-to-day selling.

Where do reps access Kompyte battlecards?

Kompyte is built to surface intelligence and battlecards on the platforms where sales teams work. Integrations and bi-directional CRM support help make battlecards and reports available to new and existing reps.

Does Kompyte include win/loss reporting?

Yes. Kompyte includes win/loss analysis tools that provide insights such as competitive frequency and win rates, including comparisons with and without battlecards.

What kinds of insights feed the qualitative side of win/loss analysis?

Kompyte supports qualitative feedback as part of a 360-degree market view, including interview takeaways surfaced into reports and battlecards through workflows involving the IcebergIQ research partner.

How does AI help reduce manual competitive research work?

AI Daily Summaries highlight actionable updates while filtering out noise that might otherwise be missed. This helps compress ongoing research into an “automation” workflow rather than manual tracking.