Clay

Clay AI

Clay AI

Clay AI

Clay AI

Clay AI

Clay AI

Clay AI

Clay AI

Clay AI

Clay AI

How I use Claude for targeted outbound

I do outbound for a B2B company. Been doing cold email for about 2 years. For most of that time I ran the full workflow on Clay. It was useful. But with the pricing change, I wanted to try doing this in Claude instead. I use a lot of external APIs anyway, so why pay Clay for that. I connected the APIs I use as MCPs in Claude and wrote some skills to make sure they're used correctly. Specifically a skill on which endpoint to call from which MCP server for what purpose. For example: call the people search endpoint from Crustdata and read the filter list to make sure Claude writes good filters when searching. Tech stack I use (all connected as MCPs): Crustdata - lead discovery + company/people intel. This is where I build my lead lists. Filters for headcount, funding, job postings, tech stack, growth rate, etc. I also pull LinkedIn posts from decision makers here which is huge for writing personalized first lines. FullEnrich - waterfall email enrichment. Once I have leads from Crustdata, I run them through FullEnrich to find verified emails. They check across 15+ data providers so find rates are solid. ZeroBounce - email verification. Extra layer before sending. I run every list through ZeroBounce to catch invalid/risky emails and keep bounce rates under 2%. Instantly - campaign creation and sending. Leads are enriched, emails are verified, everything gets pushed into Instantly to build sequences and launch. Warmup, sending, replies all handled here. Example prompt I run: "Find companies from SF building AI agents for different verticals with 50-200 employees, that raised Series A or B in the last 6 months and are actively hiring sales roles. Find the VP Sales or Head of Revenue at each. Get their verified emails. Pull their recent LinkedIn posts. Also research their website to understand their product well. Draft angles for similar companies and tell me why these angles of messaging make sense." Claude builds the list, enriches contacts, verifies emails, researches each company's product, and drafts personalized angles. Once I approve the angles, it writes the emails and pushes everything into Instantly. Takes maybe 15 minutes for a campaign that used to take days. I review the messages too, just to make sure everything's relevant and the tone is right. Instead of one big campaign to 2000 people, I now run 10-15 micro-campaigns of 100-200 people with specific messaging for each segment. MCPs make this possible because building each campaign is so fast and the research is automated. Happy to answer questions if anyone wants to try a similar setup. submitted by /u/ottttd [link] [comments]

Claude Code cronjobs are good at catching the SEO mistakes you've already forgotten about

Most SEO tools look at pages statelessly. But when we gave each page its own change history, the agent started connecting regressions to specific edits and stopped repeating old bad ideas. (ie: Claude caught that we had removed “Clay” from a page title two months ago, which caused impressions for Clay-related queries to drop 97% without us knowing.) It also proposes new names to gradient descend better SEO. Every week it pulls GSC data, spawns one Opus agent per page, and opens a PR with proposed fixes plus reasoning (nothing gets applied automatically). I wrote up the full build: architecture, skill files, the JSON “notebook” each page carries around, and the open-source code if you want to steal the pattern: https://futuresearch.ai/blog/self-optimizing-seo-pipeline/ submitted by /u/kotrfa [link] [comments]

How i made Claude my GTM Mastermind

submitted by /u/AlexBaldovin [link] [comments]

How to prospect on Claude?

Hey everyone, I’m a sales rep and I’ve been seeing a lot of people use Claude to find info about their prospects before reaching out or right before calls. For me, I’d really like it to build out a list of leads in a CSV sheet based on my criteria like “Head of sales who recently joined Series A+ companies with atleast a sales team of 15 and are using Clay” Ideally it returns this sheet and i can prompt it to find more information about the company, their product and any extra info about the prospect so I can personalize the message. I've heard about MCPs and how they allow Claude to do all this. Should I be using multiple MCPs or just one for what I need to do? submitted by /u/thetrendzjournal [link] [comments]

I replaced 8 hours/week of manual lead qualification with a Clay + Claude AI agent. Here's exactly how.

I built an AI lead qualification agent using Claude and Clay for a client who was spending 8 hours every week manually qualifying leads. What I built: An automated system that enriches incoming leads using Clay (pulls LinkedIn data, company info, buying signals) and then sends that data to Claude via API to score, qualify, and route leads automatically into HubSpot, Slack, and email sequences. How Claude helped: Claude is the core reasoning engine. It receives structured lead data from Clay and: - Matches each lead against the client's ICP criteria - Assigns a weighted score (1-100) based on role fit, company fit, buying signals, and engagement - Writes a human-readable qualification summary - Decides the routing action (hot -> CRM, warm -> nurture, cold -> archive) The prompt uses a weighted scoring rubric I designed specifically for B2B SaaS lead qualification. Results: Before: 8 hours/week, ~50 leads reviewed manually After: 3 minutes, 500+ leads scored automatically per week The system runs 24/7 with zero manual intervention. Free to try: I've put together a free carousel PDF that breaks down the exact workflow, tools, scoring logic, and how to replicate it yourself. No signups, no paywalls. Just the framework. PDF Carousel Post Happy to answer any questions about the Claude prompt structure, the Clay integration, or how to set this up for your own use case. submitted by /u/Himanshu-hsk [link] [comments]