When sales teams drown in data, Gro turns it into action. Gro is a unified AI sales engine that brings prospecting, targeting, outreach, and intent tracking into one clean workflow. Powered by a live 1B+ database, AI-driven propensity scoring, multi-channel automation, and intent signals, Gro helps teams focus only on accounts that actually matter. No exports. No fragmented tools. Just precise outbound, end to end.
This is the 2nd launch from Gro. View more
Gro v2
Launching today
Gro’s new Content Search + Social Signal Monitoring helps you find what your buyers are already talking about, identify the authors worth engaging, and then automatically monitor for new high-intent posts so you can respond the moment intent shows up (you see the post).
When a matching post appears, Gro can trigger your playbook instantly: alert you, comment, send a connection request, and draft/send email/message — all from one workflow. From content → to leads → to monitoring → to action.






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Gro
Hi everyone! Alexis here. We’re excited to share Gro’s new feature: Content Search + Social Signal Monitoring.
The idea is simple: instead of guessing who’s in-market, we help you find real conversations your buyers are already having on LinkedIn, turn those posts into leads, and then keep an eye on future posts so you can engage at the right moment.
With Gro, you can search LinkedIn content by topic/timeframe, identify the right authors, save them to your Social CRM, and then monitor for new posts that match your ICP + signal. When a match happens, Gro can notify you and trigger actions like commenting, connecting, and drafting/sending an dm, email or inMail.
We’re here all day—ask anything. Also curious: what tools/workflows are you using today to catch “high-intent” signals (Sales Nav alerts, manual feed scanning, communities, newsletters, etc.)?
RiteKit Company Logo API
What I didn't se is, do we get context, such as what a person posted, to use with emails to the lead? That's a definigng factor that greatly warm the colod of email cold-calling.
Also, credits I see, but rates for the various actions woul dbe great.
Best of luck with it!
Gro
@osakasaul Hi Saul, great question. Yes, you get context (i.e. the whole post) when you go deeper into the social signal analysis.
Here are the credit rates for various actions:
Per search: 2
Import: 2
Email enrichment: 2
Profile enrichment: 2
Buying intent analysis: 1
Propensity analysis: 5
Our monthly credit offerings for the tiers ranges from 2000-10,000.
@osakasaul @alexis_lee3
Thanks for breaking down the credit rates, Alexis! As a solo founder managing my burn rate closely, I really appreciate the transparency on usage-based pricing.
Quick follow-up on Saul's point about context: Can we feed that 'social signal' context directly into the AI drafting tool to ensure the outreach feels 100% personal? Avoiding the 'bot' feel is my top priority right now.
Amazing, what's the average company coverage like for mid-market SaaS? That's usually where the gaps show up in tools like this.
Gro
@boyuan_deng1 Thanks for the great question and you’re right, mid-market SaaS is exactly where most tools start to break down. From what we’ve seen running campaigns (and building Gro around that), the issue isn’t top-of-funnel coverage, most tools can give you thousands of contacts. The gap shows up in relevant coverage:
In typical outbound tools, you might get broad account coverage, but only a small % are actually active or in-market
That’s why you see ~3% connect rates and ~1% replies in standard workflows
For mid-market SaaS specifically, what tends to work better is signal-based coverage vs static lists:
Instead of “we have X% of companies in your ICP,”
it becomes “we’re tracking the subset of accounts showing intent right now”
With Gro, coverage is less about database size and more about how many high-intent accounts you can actually engage at a given moment which is why campaigns tend to land closer to ~28–30% connect and ~10% reply rates when targeting is tight
So short answer:
Mid-market coverage isn’t the bottleneck anymore, precision within that coverage is. That’s where most tools fall short (and where we’ve focused heavily).
ProdShort
Automation sometimes kills personalization, is there a structure or template that keeps messages and comments created by Gro from sounding automated?
Gro
@bengeekly Personalization is core to how we built Gro — every message is generated based on the lead's recent activity, profile context, and the specific signal that triggered the outreach, so it's never a static template. You can also set tone preferences and voice guidelines per campaign to keep things on-brand.
@bengeekly @leo_aj
was about to ask the same, so I'll jump here with 1 follow-up question - is it possible to give your product the core of the message (e.g. pitch & CTA) that can't be changed and explicitly mark parts of the message/sequence that can be changed for each user?
logic behind - cold messages (regardless of the channel) have specific pace, sense etc - from my experience, without sharing such a core, the messages are usually average at best.
Gro
@bengeekly @leo_aj @philip_kubinski Yes, that is possible on Gro. You will be able to prompt for the core of the message (pitch/CTA) and also explicitly mark the parts that are to be customized in the campaign flow tab when you're initiating an outreach campaign.
I do it with Make & Apify & Clay. If it's possible to have it in one place - that's awesome. do you integrate with tools like Instantly to push relevant leads there (or anywhere else) or do I have to send through your tool?
Gro
@philip_kubinski
Short answer: you’re not locked in.
We are in the midst of building Gro to work both ways depending on how you like to run outbound:
1) Use Gro end-to-end (currently the status quo)
Most users just run everything inside — from discovery → scoring → LinkedIn/email outreach — mainly because the data stays “live” (intent signals, enrichment, engagement all in one loop).
2) Plug into your existing stack (we currently have hubspot, and working on webhook)
Soon, you can absolutely push leads out:
Export or sync enriched + scored leads
Trigger via webhooks into your sequencer
Use Gro more as the “thinking + targeting layer” on top of your stack
Where we’re opinionated is this: Most workflows break when you export static lists too early. The moment leads leave, you lose intent freshness + adaptive targeting; which is why a lot of Clay-style setups need constant re-refreshing.
So it’s less “you have to send through Gro” and more:
→ If you want maximum performance, keep it in one loop
→ If you want flexibility, we are working to allow you plugging into your stack just fine
Are you mostly running cold email via Instantly, or doing LinkedIn + email in parallel? That usually changes how people set it up
Huge congrats! I currently use Sales Nav alerts. How is Gro different? Would love to understand the overlap.
Gro
@asher_luca Thanks for the question! Gro mainly differs on the following: insight to action gap
Sales Nav gives you a reason to reach out but you still have to:
decide who to prioritize
write the message
run the sequence
while Gro goes from signal → targeting → messaging → outreach (LinkedIn + email) in one flow.
and then there is Individual alerts vs system-level orchestration:
Sales Nav is very seller-driven (you interpret + act)
Gro is more system-driven (it suggests + executes at scale)
How quickly does a new post get indexed — is there a lag between when it's posted and when Gro surfaces it?
Gro
@doriiiiis_ Thanks for the question! Our monitoring function is currently set at 12 hours periodically, i.e. if you initiate a social signal monitor at 08:00, the scan would activate at 20:00, and so on.