OpenClaw for SDRs: Automate Research, Personalize Outreach

The SDR grind is real. You're expected to hit 50+ activities a day, personalize every touchpoint, and somehow make each prospect feel like they're your only focus. Meanwhile, half your day disappears into research tabs, data entry, and hunting for email addresses.

What if you had an AI teammate in Slack that handled the research and enrichment, so you could focus on the part that actually books meetings — the human connection?

That's exactly what a Pingd agent does, powered by OpenClaw.

The SDR Research Problem

Here's what a typical prospecting workflow looks like without an AI agent:

1. Pull a list of target accounts from your CRM
2. Open LinkedIn, search for the right persona at each account
3. Cross-reference with ZoomInfo or Apollo for contact data
4. Read the prospect's LinkedIn posts, company news, and recent activity
5. Write a personalized email referencing something specific
6. Log everything back in your CRM

Steps 2 through 5 take 10–15 minutes per prospect. At 50 prospects a day, that's impossible without cutting corners — which means your outreach becomes generic, which means lower reply rates, which means more volume needed. It's a vicious cycle.

Pingd breaks that cycle.

People Search: Find the Right Prospects Instantly

The people search skill is an SDR's best friend. Instead of manually combing through LinkedIn, you message your Pingd agent in Slack:

"Find VP-level marketing leaders at Series B fintech companies in New York"

Your agent returns a list of matching contacts with names, titles, companies, and LinkedIn profiles. It pulls from multiple data sources to give you accurate, up-to-date results — not stale database records from 2023.

You can get more specific:

"Find the head of demand gen at Brex" "Who runs sales enablement at Gong?" "Show me CTOs at healthcare startups that raised in the last 6 months"

Each query takes seconds. No more LinkedIn Sales Navigator tab-juggling.

Contact Enrichment: Get the Data You Need

Once you've identified a prospect, you need their contact information. The contact enrichment skill fills in the gaps:

"Enrich: Maria Santos, Director of Revenue Operations at Lattice"

Your agent returns:

• Verified work email
• Direct phone number (when available)
• Full title and reporting structure
• Social profiles
• Company details (size, funding, industry)

This data comes back right in Slack. Copy it into your CRM, use it in your sequence, or let your agent help you draft the outreach.

Outreach Composer: Personalized Messages at Scale

Here's where Pingd really differentiates from generic AI writing tools. The outreach composer skill doesn't just generate text — it generates text informed by research.

When you ask your agent to draft outreach, it combines:

• The prospect's role, background, and recent activity (from people search)
• Their company's situation — funding, hiring, news (from account research)
• Your product's value proposition and how it maps to their pain points
• Your own outreach style (learned over time through persistent memory)

"Draft a cold email to Maria Santos at Lattice. She just posted about scaling rev ops with fewer tools."

Your agent produces a personalized email that references her specific post, connects it to a relevant pain point, and positions your solution naturally. It's not a template with {first_name} merged in — it's a genuinely personalized message.

You can iterate on it too:

"Make it shorter and more casual" "Add a PS about their recent Series D" "Give me a LinkedIn connection request version instead"

Account Research: Know Before You Reach Out

Before you prospect into a new account, context matters. The account research skill gives you a complete picture:

"Research Notion as a prospect"

Your agent returns:

• Company overview, size, and growth trajectory
• Recent news, product launches, and executive changes
• Technology stack and tools they use
• Competitive landscape
• Potential pain points based on their stage and industry

This isn't a Wikipedia summary. It's actionable intelligence that helps you decide whether to prospect the account and how to position your outreach.

Why Slack? Why Not Another Tool?

SDRs already live in Slack. It's where you coordinate with AEs, ask your manager questions, celebrate booked meetings, and stay in the flow of your day. Adding another browser tab or app to your workflow creates friction.

Your Pingd agent lives in Slack because OpenClaw was designed for channel-native agents. That means:

• No context switching: Research, enrichment, and outreach drafting happen where you already are
• Persistent memory: Your agent remembers which accounts you've researched, which prospects you've contacted, and what messaging worked. It builds institutional knowledge over time.
• Always available: Early morning prospecting session? Late-night outreach prep? Your agent is there. It doesn't have business hours.
• Conversational workflow: You don't need to learn a new UI. Just message your agent like you'd message a colleague.

A Real SDR Workflow with Pingd

Here's what a prospecting block looks like with a Pingd agent:

Step 1: Identify targets (2 minutes)

"Find directors of sales operations at mid-market SaaS companies in the Bay Area that have raised Series B or C"

Agent returns 15 matching contacts.

Step 2: Research the top accounts (3 minutes)

"Research the top 5 companies from that list"

Agent delivers account briefs for each.

Step 3: Enrich contacts (1 minute)

"Enrich the first 5 contacts"

Agent returns verified emails and phone numbers.

Step 4: Draft outreach (5 minutes)

"Draft personalized emails for each of these 5 contacts based on the research"

Agent produces 5 unique, personalized emails — each referencing company-specific context.

Step 5: Review and send (5 minutes) You review each draft, make tweaks, and drop them into your sequence.

Total time: ~16 minutes for 5 fully personalized, research-backed outreach emails. That's the kind of quality that used to take an hour or more.

Beyond Individual Productivity

Because your Pingd agent has persistent memory, it compounds over time. It learns:

• Which messaging angles get replies in your territory
• Which personas are most responsive
• What objections come up frequently
• Your personal writing style and preferences

After a few weeks, your agent's first drafts start feeling like your writing. That's the power of an always-on agent with memory — it's not starting from scratch every time.

Get Started

If your team uses Pingd, open Slack and try these to get going:

• "Find [persona] at [company type]"
• "Enrich [name] at [company]"
• "Draft a cold email to [prospect] about [topic]"

Explore all available skills or learn why OpenClaw is the foundation that makes this possible.

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Pingd agents are built on OpenClaw — the open-source framework for AI agents with persistent memory, real skills, and native Slack integration. Designed for SDRs who want to prospect smarter, not harder.