cotera

Lookalike Prospect Finder

Turn your best customers into a prospecting engine. Find companies with similar audiences and enrich them with Apollo data.

Account-based marketingLead generationICP expansionProspect enrichment

The Challenge

You know your best customers, but finding more companies like them is a guessing game. Traditional prospecting relies on firmographic filters — industry, size, location — but misses the behavioral signal: who actually shares an audience with your best accounts? Building a lookalike list manually means hours of research across multiple tools and databases.

What This Prompt Does

Audience Overlap Discovery

Find companies sharing visitors with your best customers

Traffic Qualification

Filter prospects by monthly visits and engagement quality

Apollo Enrichment

Get company details, headcount, industry, and contact info

Scored Prospect List

Rank by overlap frequency, traffic, and company size

The Prompt

The Prompt

Task

Use @SimilarWeb/Get Similar SitesName it "SimilarWeb/Get Similar Sites" and call it with @SimilarWeb/Get Similar Sites to discover companies with overlapping audiences to your best customers, then use @SimilarWeb/Get Traffic DataName it "SimilarWeb/Get Traffic Data" and call it with @SimilarWeb/Get Traffic Data to qualify them by traffic volume, and @Apollo/Search OrganizationsName it "Apollo/Search Organizations" and call it with @Apollo/Search Organizations to enrich each prospect with company details and contact information. Export the final prospect list to Google Sheets using @Google Sheets/Append RowName it "Google Sheets/Append Row" and call it with @Google Sheets/Append Row.

Example: Our best customer is Airtable. Find 10 similar companies with at least 500K monthly visits and get their company details from Apollo.

Input

The user will provide:

  1. One or more "seed" customer domains (their best customers or ideal customer profiles)
  2. (Optional) Minimum traffic threshold for qualification
  3. (Optional) Google Sheets spreadsheet ID for export

Example: "Find companies like notion.so and airtable.com with 1M+ monthly visits. Sheet: abc123"

Context

What to Search For

Lookalike discovery:

  • Similar sites based on audience overlap from SimilarWeb
  • Filter out irrelevant results (news sites, social platforms, search engines)
  • Focus on companies in the same category or adjacent categories

Qualification criteria:

  • Monthly visits above a minimum threshold (default: 500K)
  • Reasonable engagement metrics (bounce rate under 60%)
  • Operating in a relevant industry/category
  • Not a direct competitor to the user

Company enrichment:

  • Company name, industry, employee count from Apollo
  • Headquarters location and founding year
  • Website URL and LinkedIn profile
  • Primary phone and key contact info

Search Strategy

  1. Run @SimilarWeb/Get Similar SitesName it "SimilarWeb/Get Similar Sites" and call it with @SimilarWeb/Get Similar Sites for each seed domain
  2. Deduplicate results across all seed domains (sites appearing for multiple seeds rank higher)
  3. Pull @SimilarWeb/Get Traffic DataName it "SimilarWeb/Get Traffic Data" and call it with @SimilarWeb/Get Traffic Data for each discovered domain to qualify by traffic
  4. Filter out domains below the traffic threshold
  5. Search @Apollo/Search Organizations by website URLName it "Apollo/Search Organizations by website URL" and call it with @Apollo/Search Organizations by website URL for each qualified domain
  6. Score and rank prospects by: traffic volume, overlap frequency, and company size
  7. Export to Google Sheets with all enrichment data

What Counts as a Valid Result

  • Only include companies with verifiable SimilarWeb traffic data
  • Deduplicate: if a company appears as similar to multiple seeds, note the overlap count
  • Exclude obvious non-prospects (Wikipedia, YouTube, government sites, etc.)
  • Apollo data may not exist for all domains — note gaps rather than skipping

Output

Seed Analysis: | Seed Domain | Category | Monthly Visits | Similar Sites Found | |-------------|----------|---------------|-------------------|

Qualified Prospects (Ranked): | Rank | Domain | Category | Monthly Visits | Global Rank | Overlap Score | Industry | Employees | Location | |------|--------|----------|---------------|-------------|--------------|----------|-----------|----------|

Top 10 Prospect Cards: For each top prospect:

  • Company name and domain
  • Why they're a match (which seed(s) they overlap with)
  • Traffic and engagement snapshot
  • Apollo enrichment: industry, employee count, HQ location
  • LinkedIn URL if available

Google Sheets Export: Each prospect as a row with Domain, Company Name, Category, Monthly Visits, Rank, Overlap Score, Industry, Employees, Location, LinkedIn URL, and Primary Contact.

Example Usage

Try asking:

  • →"Find companies similar to Notion and Airtable with 1M+ visits"
  • →"Build a lookalike prospect list from our top 3 customer domains"
  • →"Who shares an audience with figma.com? Get their Apollo data."