The argument in one line.
Claude's natural-language web search becomes a lead-generation engine when connected to an outreach platform via MCP, turning a single typed prompt into a populated contact list ready for multichannel sequencing.
Read if. Skip if.
- A B2B sales rep or founder who wants to build a prospect list from publicly available signals (podcasts, news, LinkedIn activity) without a dedicated scraping tool.
- Someone already using Claude.ai who hasn't explored its MCP connector capabilities and wants a concrete workflow example.
- A sales team evaluating intent-based outreach tools and curious how AI assistants can feed their existing pipeline.
- You're looking for a code-level tutorial — this is entirely point-and-click inside Claude.ai's UI.
- You don't do outbound sales or lead generation at all.
- You need a vendor-neutral guide — the second half is a product demo for Gojiberry specifically.
The full version, fast.
The video demonstrates a two-tool lead generation stack: Claude.ai finds contextual leads via natural-language web search (the example is B2B entrepreneurs who appeared on podcasts last week), and Gojiberry handles enrichment and multichannel outreach sequences. The bridge between them is a custom MCP server configured in Claude's Settings > Connectors panel — once set up, you can push contacts from Claude into Gojiberry with a single typed instruction. The presenter positions Claude as the flexible research layer and Gojiberry as the structured execution layer, with intent signals (LinkedIn engagement, job changes, competitor activity) determining outreach timing and personalization.
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01 · Hook — the live prompt
Presenter opens Claude.ai and begins typing a lead-gen prompt in real time: find 5 B2B entrepreneurs who did a podcast last week + their LinkedIn profiles.

02 · Claude searches and returns leads
Claude searches Apple Podcasts and Spotify, returns a list of 5 entrepreneurs with LinkedIn URLs. Presenter narrates each result and asks Claude to fill in the missing fifth LinkedIn profile.

03 · Connector setup walkthrough
Settings > Connectors in Claude.ai. Presenter shows the Gojiberry MCP server already configured and explains how to add it: paste the endpoint URL, add the Gojiberry API key.

04 · Push leads to Gojiberry via Claude
Presenter types 'add these five leads to my Gojiberry account' — Claude calls the MCP connector and the contacts appear in the Gojiberry dashboard. Table summary shown in Claude's response.

05 · Enrichment and profile pictures
Contacts are visible in Gojiberry. LinkedIn blocks profile images; Claude fetches them from other public sources. Email enrichment shown as already populated. Leads are now ready for campaigns.

06 · Multichannel campaign flow
Presenter navigates to Campaigns in Gojiberry, shows an active outreach sequence (email + LinkedIn). Explains the intent signal used: prospect appeared on a podcast = warm opener for pitch.

07 · Intent signal tour and CTA
Signal Agents section: keywords, competitor engagement, job changes, funding events, profile visitors. Recap of the full workflow. CTA: free trial link in description.
Lines worth screenshotting.
- Claude's web search can act as a no-code lead scraper when given a precise natural-language brief — podcast guests, news mentions, funding announcements.
- MCP connectors let Claude push data directly into third-party tools without copy-paste or CSV exports — the handoff is a typed instruction.
- Intent signals (competitor engagement, job changes, keyword activity) give outreach a 2–5x reply-rate lift over cold contact lists according to the presenter.
- LinkedIn's API blocks profile pictures publicly, so Claude falls back to fetching images from other open web sources when asked.
- A single Claude prompt can return a shortlist of leads with LinkedIn URLs, company info, and context — the same query that would take a human researcher an hour.
- The MCP setup in Claude.ai is a one-time configuration: Settings > Connectors > Add custom connector > paste URL + API key.
- High-intent leads are defined as contacts who recently engaged with a keyword, a competitor, or an industry expert — not just job-title matches.
- The two-tool split (Claude for discovery, outreach platform for execution) keeps each system doing what it does best rather than forcing one tool to do both.
Two tools, one typed sentence, a populated outreach list.
When an AI assistant can search the web and push results to a connected tool via a single typed instruction, the traditional multi-step lead-generation workflow collapses into one conversation.
- A natural-language prompt can replace a dedicated lead scraper for contextual research — Claude searching podcasts, news, or LinkedIn activity surfaces names that keyword filters miss.
- MCP connectors remove the data-transfer step entirely: once configured, Claude can write directly to your CRM or outreach tool without a CSV export or Zapier middleman.
- Intent signals — a prospect who just engaged with a competitor or appeared on a podcast — give outreach a 2–5x higher reply rate because the opening line references something they actually did.
- LinkedIn's API deliberately blocks profile images for privacy reasons; AI tools that claim to pull them automatically are fetching from other public sources, not LinkedIn's own data.
- The practical constraint on AI-assisted lead gen is data freshness: Claude's web search can find recent podcast appearances, but confirming exact air dates requires cross-referencing, as the video itself acknowledges.
- The two-layer model (AI for discovery, purpose-built tool for execution) generalizes beyond outreach — it applies anywhere AI research needs to feed a structured downstream workflow.
Terms worth knowing.
- MCP (Model Context Protocol)
- An open standard that lets Claude connect to external tools and services. Once configured, Claude can read from and write to those services through typed instructions, without any code.
- Intent signal
- A trackable action that suggests a prospect may be ready to buy — examples include engaging with a competitor's LinkedIn post, changing jobs, or a company receiving a funding round.
- ICP (Ideal Customer Profile)
- A description of the type of company or person most likely to buy your product, used to filter and prioritize a lead list.
- Lead enrichment
- The process of appending additional data to a contact record — typically work email, job title, company size, and social profiles — from third-party data sources.
- Multichannel outreach
- A sales sequence that contacts a prospect through more than one channel in parallel or in sequence — most commonly email plus LinkedIn messages.
Things they pointed at.
Lines you could clip.
“Claude is the lead finder right there, and Gojiberry is the way to contact those leads.”
“High intent leads have a response rate of two to five times. They reply two to five times more than traditional leads.”
“Claude to get contextual leads, Gojiberry to get high intent leads, plus do the outreach, and you're all set to make some sales.”
Word for word.
Don't just watch it. Burn it in.
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
The bait, then the rug-pull.
Type a sentence into Claude and walk away with a list of named B2B prospects, their LinkedIn profiles, and an automated outreach sequence already queued — that is the promise this eight-minute screen recording makes good on.
Named ideas worth stealing.
Two-layer lead stack
- Claude (discovery layer) — natural-language web search for contextual leads
- Gojiberry (execution layer) — intent signals, enrichment, multichannel outreach
Split the lead gen workflow into a flexible AI research layer and a structured outreach execution layer, connected by MCP.
Intent signal categories
- LinkedIn page / profile engagement
- Profile visits
- New page followers
- Keyword-based engagement (post, like, comment)
- Engagement with specific LinkedIn profiles
- Niche-most-active users
- Companies that raised funding
- Job changers
- Competitor interactions
Nine trackable LinkedIn-based signals that indicate a prospect may have buying intent.
How they asked for the click.
“Try Gojiberry 7 days — link in the description.”
Verbal CTA in the final 30 seconds, reinforced by description links. No on-screen card or end-screen shown in the capture.









































































