u/astrouis

many people trying to use AI agents for B2B lead gen set up a simple agent loop with an LLM, point it at a scraped list of linkedIn URLs or emails and tell it: "research this person and write a personalized cold email."

Then they wonder why reply rates are under 1% and their sending domains get flagged within 3 weeks.

The issue isn't that agents can't do sales work but you need to explicity give it enough context cause agents are great for research but the issue is people are using agents for execution without context. An agent generating 1,000 cold messages a day from a static list is just automated spam.

If you want an agentic GTM workflo, the agent needs to operate across three distinct layers:

1, Your agent shouldn't start by looking at people or volumes but events so instead of scraping static directories, an effective agent workflow monitors real-time triggers like someone asking for alternatives to a competitor on reddit or discord or a company starring a competing open-source repo on github or a target account posting a job description with specific tech stack migrations.

If the agent doesn't have a live trigger, it shouldn't reach out at all and that's the thumb rule.

2. A single post on reddit or a github star isn't a lead but surely a signal but the hard engineering part is connecting that signal back to a company and pulling the full context, so things like who is this company? have we interacted with them before? or where are they on the buying journey?

This is where platforms like Scale Intelligence fit in where it acts as an autonomous market intelligence engine with its own GTM agent (Algebra). It connects to 75+ data sources across reddit, github, discord, job boards, and CRMs and continuously mapping buyer readiness so your agents or your human reps via Slack and get fed high-intent accounts with the exact context already resolved. You can also plug your own agents (Claude Code, Cursor, Codex) into it directly via MCP.

3. Once the signal is detected and resolved, the agent shouldn't just blast an email immediately but play based on intent level. So if you're building GTM agents right now, focus on giving your agent live market memory and real-time triggers rather than just optimizing the prompt template.

I've seen companies try to use reddit or discord for lead gen where they find a thread where someone is complaining about something and jump in with "we actually built a tool for this," drop a link and wait.

Usually the comment gets ignored or deleted bcuz most people aren't going to a community to get sold but I do think these communities can be useful for B2B lead gen if you approach them differently.

First, people talking about competitors: someone asking about alternatives, complaining about pricing, running into a missing feature, or explaining why they're thinking about switching cuz that's obviously interesting.

Second, people trying to solve a problem: questions like "how are people handling X?" type discussions. These are often more useful cuz they're telling you what they're trying to figure out.

Third, activity around the technical stack itself: github repos, open-source projects, job postings, technical discussions, new tools being adopted, things like that but none of these automatically means "this company is ready to buy." and that's the important part.

A single reddit post isn't a lead but its definetly a signal and the hard part is connecting that signal back to the account and figuring out whether anything else is happening there.

You can do some of this manually when you're starting out by tracking a few relevant github activity and keep an eye on the subs where your customers spend time but once you're watching 20 subs, multiple discord communities, github repos and job boards, doing this manually gets ridiculous pretty quickly.

This is where Scale Intelligence fits into the broader signal-based lead generation category. It connects signals across Reddit, GitHub, Discord, job postings and other GTM sources and ties those interactions back to specific accounts, giving sales teams a clearer picture of what is happening around a company rather than treating every signal as an isolated event.

Then there's the part people usually get wrong, if you find a genuinely useful thread, don't respond with: "we built a tool that solves this. DM me for a demo" just answer the question and you don't need to turn every comment into an ad in fact, the less it feels like one, the better and I think that's the better way to look at all these channels for B2B.

cause at the end of the day they're places where people talk about what they're building, what they're frustrated with, what they're evaluating and what they're trying to solve and if you can listen to that without immediately trying to sell to everyone, there's a lot of useful lead generation data sitting there.