Collavue
Summary
Manually scanning X and LinkedIn for prospects who are already signaling intent — complaining about a competitor, asking for recommendations, describing a pain your product solves — burns hours a sales rep doesn't have. Collavue is an AI lead discovery and reply agent built to catch those signals and draft on-brand responses before the window closes.
Collavue watches X (Twitter) and LinkedIn for mentions that match your target criteria, scores those mentions by intent, and queues up drafted replies for your review before anything goes out. You stay in the loop on every send — nothing ships automatically. That approval step is the right call for brand safety, but it also means throughput is gated by how fast your team clears the queue. The scraped page content is thin, so architectural details about CRM sync, team seat limits, or volume caps beyond the credit packs are not verifiable from available sources.
Bottom line: Collavue earns its place when a lean sales team needs to stop missing intent signals on social and start replying faster — but teams expecting fully autonomous outreach or deep CRM integration will hit gaps the current feature set cannot close.
Pricing Plans
Usage-BasedLast verified 2 weeks agoStarter
Best for trying things out
- 100 credits
- ~$0.05 per credit
- Instant delivery via Stripe checkout
- Works across Collavue features
- Email receipt
Growth
Good value for active users
- 250 credits
- ~$0.04 per credit
- Instant delivery via Stripe checkout
- Works across Collavue features
- Priority email support
Scale
Best value
- 500 credits
- ~$0.04 per credit
- Instant delivery via Stripe checkout
- Works across Collavue features
- Priority email support
View full pricing on collavue.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Intent scoring on social mentions, so your team reviews leads already ranked by buying signal rather than sifting a raw firehose of keyword matches.
- Drafted replies are queued for human approval before publishing, which means brand voice and compliance review stay in-house without requiring manual copy-writing from scratch.
- Inbox-style lead management keeps discovered prospects and their drafted responses in one place, so leads don't scatter across browser tabs and spreadsheets while waiting for follow-up.
- Covers both X and LinkedIn from a single interface, so teams running parallel prospecting on both platforms avoid context-switching between separate tools.
Cons
Sign in to edit- Every reply requires manual approval before it sends — there is no autonomous publish mode described in available sources. Teams expecting to run overnight outreach campaigns without a human in the queue will find the tool structurally unsuitable; at that point, teams move to outreach platforms with optional auto-send rules.
- Credit-pack pricing with no recurring subscription means there is no predictable monthly cost floor or ceiling. A team running a high-frequency prospecting sprint can exhaust credits faster than expected, and scaling volume is a manual repurchase decision rather than a plan upgrade.
- No CRM sync or integration detail is verifiable from the available page content. Teams whose workflow depends on pushing discovered leads into Salesforce, HubSpot, or a similar system will need to handle that transfer manually or abandon the tool for a platform with native CRM connectors.
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About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-14T22:23:20.434Z
Best For
Who it's for
- Sales and marketing teams
- Reply automation with oversight
What it does well
- Discover leads on X and LinkedIn
- Score intent of social mentions
- Draft on-brand replies
- Manage leads in inbox
Discussion Community
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Frequently Asked Questions
- Is Collavue free?
- Collavue is a paid tool. No permanent free tier is offered.
- Is Collavue open source?
- No — Collavue is a closed-source tool. Source code is not publicly available.
Hours Saved & ROI Stories Community
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Curated lists that include this category
Collavue positions itself as an AI-assisted lead layer for X and LinkedIn: it discovers accounts signaling relevant intent, scores those signals, drafts replies tuned to your brand voice, and surfaces everything in an inbox-style interface where a human reviews and approves before publishing. The core loop is discover → score → draft → approve → send, with no step running unattended.
The intent-scoring layer is the differentiating claim. Rather than returning a raw keyword match list, Collavue is described as evaluating the context of a social mention to estimate how far along a prospect is — so a tweet complaining about a competitor reads differently than a generic industry question. Whether that scoring holds up at scale across noisy feeds is not verifiable from available page content.
This tool fits a specific wedge: a sales or marketing team that has already decided social listening should feed pipeline, but finds manual triage too slow and generic scheduling tools too dumb about intent. It breaks when teams need the agent to fire off replies without a human checkpoint, when they need to push discovered leads directly into a CRM on a record-level basis, or when volume outpaces what a credit-pack pricing model makes economical to operate continuously.
Pricing runs on a credit-pack model with no subscription tier described on the page — meaning there is no baseline monthly allocation, and teams running high-volume prospecting campaigns will need to model credit burn against expected lead volume before committing.