B2CProduct agent for PM and PMM teams

Competitive Feature Gap Analysis

Spot the competitor features your customers wish you had.

This agent watches competitors' launches and release notes, then matches each one against what your customers have asked for and what they say about the gap. You get a watch list of the gaps that matter, with the requests behind each one, and feature tickets drafted wherever your team tracks work.

Paste in your AI agent

Copy this line into ChatGPT, Claude, Gemini or your coding agent. It takes it from there.

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The problem

Claude can compare feature lists. It can’t count six months of requests.

84%

of product teams worry their current products won't succeed in the market.

49% say they don't have enough time for strategic planning, roadmap development or deep analysis.

Source: Atlassian State of Product 2026 (1,000+ product professionals, US and Europe)
How it works

Competitor launches, checked against your customers' feature requests

Three steps. It tracks competitors' release notes and launches, finds the customer requests that match, and creates tickets for the gaps worth closing.

Ingest

Competitor launches next to your customers’ requests

Release notes
Review sites
Help desk
Anything else
Rippit

Analyze

Every gap matched to who asked for it

One row per competitor launchAgent adding fields…
LaunchRequestsNext step
Offline mode410 requestsFeature ticket created
Watch history sync95 requestsFeature ticket created
Family sharing180 requestsAdded to the watch list
7 gaps on the watch list · 2 issues created

Act

A watch list with the tickets ready to go

Competitive watch listSlack or email

5 gaps, led by offline mode with 410 requests.

List sent
Feature ticketsLinear, or Jira through MCP

2 issues created in Linear with the requests and quotes attached.

Tickets created
+ Any connected MCP

Share the watch list with product marketing, or update your battle cards when you close a gap.

See MCP connections →
FAQ

Questions

What sources can it use?

Your help desk, phone calls and in-app chats, web research on competitors' release notes, launch posts and reviews, and market research, plus any other source you integrate or bring in through bulk ingest. See integrations →

Which competitors does it watch?

The ones you list in the research table. AI columns also flag competitors customers name that aren’t on your list, so you can add them. You can add or drop competitors any time.

How does it decide a gap matters?

By who asked for it and what they said: the number of requests, how many mentioned canceling or switching, and how long those customers have been with you. You can weight these to match your priorities.

Will it create tickets on its own?

It can. Linear connects directly, and Jira or another tracker works through a custom MCP connection. Write tools start off, so you decide whether it drafts issues for review or creates them, with the requests and quotes attached.

Where do the results go?

The watch list goes to product and product marketing in Slack, email or any tool you connect. Issues go to Linear, or to Jira through a custom MCP connection. It runs weekly or daily. See MCP connections →

Close the gaps your customers care about.

Name your competitors, connect your conversations, and get your first watch list with the requests behind each gap.

Paste in your AI agent

Copy this line into ChatGPT, Claude, Gemini or your coding agent. It takes it from there.

Set me up with rippit.com
Try Rippit free
or request demo