Find lookalike profiles from any LinkedIn URL

Find lookalike profiles from any LinkedIn URL

Claude

the skill plays the role of a Sales Ops / RevOps specialist inside Claude. Give it one LinkedIn URL and it reverse-engineers the persona behind it (title, seniority, industry, company size, career path), confirms the matching criteria with you in 30 seconds, runs a smart search, and presents ranked lookalikes with a similarity score and a one-line explanation of why each profile matches. Use it to clone a converted prospect, or to expand a working ICP into a fresh list of look-alike targets.

1. Connect the FullEnrich MCP to Claude

This skill needs only one MCP active in your Claude workspace:

  • FullEnrich MCP at https://mcp.fullenrich.com/mcp

New to MCPs? Follow the FullEnrich MCP setup guide.

2. Install the skill in Claude

Click Download Skill above to grab the skill .zip file, then install it in Claude:

  • Open Customize in Claude

  • Click Create new skill

  • Click the + button at the top

  • Choose Create Skill

  • Pick Upload a skill and select the .zip you just downloaded


3. Drop a LinkedIn URL of your reference profile

Activate the skill by sending Claude a LinkedIn URL with intent. Examples:

  • "Find me 5 people like this: linkedin.com/in/sarah-chen"

  • "This prospect just converted, find me more like him: linkedin.com/in/johndoe"

  • "linkedin.com/in/marie-dupont, trouve-moi des profils similaires en Europe"

  • "I love this profile, give me 10 lookalikes I can reach out to"

The skill pulls the source profile from FullEnrich (full title, company, industry, headcount, career path, skills) and shows you a profile card so you know exactly what it is matching on.

4. Confirm the matching criteria

This is where the skill earns its keep. Two "VP Sales" can be wildly different (one at a 20-person seed startup, another at a 5,000-person enterprise), so the skill walks through the source attributes and lets you adjust each one before running:

  • Job title with 2 to 3 close variations the skill will also accept

  • Seniority, with the option to go one level up or down

  • Industry, validated against FullEnrich's official taxonomy (no guessing on terms like "SaaS" or "fintech")

  • Company size bracket, defaulted to a sensible range around the source company's headcount

  • Geography: same country as the source, same region, or worldwide

  • Whether to exclude the source company from the results (typical for outbound prospecting, off when looking for peers)

You confirm in plain English. Then the skill runs a free preview to validate that the volume is high enough for what you asked.

5. Get ranked lookalikes with explanations

The skill scores every match across 5 dimensions (job title 30%, seniority 25%, industry 20%, company size 15%, location 10%) and ranks them top-down. Each profile is presented as a mini card with:

  • Full name, current title, current company (industry, headcount, location)

  • Career path: previous role, current role, so you see the trajectory

  • Top skills

  • LinkedIn URL

  • Why this person matches, one short sentence explaining the strongest similarities (e.g. "Same VP-level role in a SaaS company of similar size, plus the same Sales Director, VP Sales career path as the source")

If only a few profiles score highly, the skill says so instead of padding the list with weak matches. Quality over quantity.

6. Optionally enrich them with email and phone

The lookalikes come without contact info by default. Once you have picked the ones you like, the skill offers to enrich them in one go: "Enriching 5 contacts with work emails and phones will cost ~55 credits. You have 1,500. Proceed?" On confirmation, it fires a single enrichment job, polls until it is done, then exports the result as a CSV download link, ready for outreach or for the FullEnrich + CRM skills (HubSpot, Attio, Monday, Notion, Airtable).

Built-in safeguards: the skill always confirms the matching criteria with you before searching, validates the industry term against the FullEnrich taxonomy, and never silently drops filters to fabricate volume. If a job title returns 0 matches, it explains that titles vary across companies and regions and proposes 2 to 3 alternatives. Enrichment is opt-in and always asks for explicit confirmation on the credit cost first.

What is next? After delivering the lookalikes, the skill offers natural follow-ups: enrich them, draft personalized outreach for each one, push them to your CRM, or run another lookalike search with adjusted criteria.

Troubleshooting

Claude says the FullEnrich MCP is not connected

Open Claude settings and connect https://mcp.fullenrich.com/mcp. The skill resumes on the next message.

"This LinkedIn profile is not indexed"

The source profile is not in FullEnrich's database. The skill switches to manual mode: it asks for the title, company, industry, and seniority, then runs the lookalike search from those attributes.

Search returns 0 lookalikes for the title

Job titles vary across companies and regions. The skill explains this and proposes 2 to 3 close variations of the title (e.g. "VP Sales" alongside "Vice President of Sales", "Head of Revenue"). Pick one and re-run.

Volume too low for the requested number

Filters are too narrow. The skill suggests which criterion to broaden first (typically: relax the title, raise the headcount range, expand the geography, or remove the industry filter).

"CREDITS_INSUFFICIENT" on a contact during enrichment

Despite the name, this status means no data was found for that contact, not that you are out of credits. The skill flags this clearly when it surfaces.

Industry filter rejected

Common terms like SaaS, fintech, or tech are not valid FullEnrich values. The skill auto-checks against the official taxonomy and proposes the closest match (typically Software Development, Financial Services, Technology, Information and Internet).

Clay