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Documentation Index

Fetch the complete documentation index at: https://docs.komo.ai/llms.txt

Use this file to discover all available pages before exploring further.

A List is a working set of people you’re sourcing or pursuing. Build a list once via one of six paths — Komo dedupes, enriches, and hands it off to campaigns. Click New list at /lists to start.

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The six paths

LinkedIn Sales Nav URL

Paste a Sales Nav search URL — Komo pulls up to 10 pages of leads.

People Search

Search Apollo by title, location, industry, headcount.

Upload CSV

Drop a CSV with email, name, or LinkedIn URL.

Manual

Add people one at a time.

Signal Monitoring

24/7 Signal Agent — auto-adds matching LinkedIn engagers.

Find with AI

Describe the buyer; AI builds a cited list with editable match criteria.

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1. LinkedIn Sales Nav URL

Best for: narrow, high-precision outbound where you’ve already built the Sales Nav search.
1

Connect LinkedIn

Settings → LinkedIn. Komo scrapes under your account, respecting Sales Nav seat limits.
2

Build the search

Use Sales Navigator to filter. Copy the URL when ready.
3

Create the list

Lists → New list → LinkedIn Sales Nav URL:
  • List name
  • Sales Nav URL
  • Pages to fetch (1–100, default 10; ~25 leads/page)
  • LinkedIn account
4

Start scrape

Leads stream in as they’re found. Each row carries name, title, current company, LinkedIn URL, and (where Sales Nav surfaces it) location and headcount. Komo dedupes against existing contacts and accounts.

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2. People Search (powered by Apollo)

Best for: net-new TAM when you don’t have a Sales Nav search, or filters LinkedIn doesn’t expose.
1

Open People Search

Lists → New list → People Search.
2

Apply filters

Left rail: Keywords, Job Title, Person Location, Company HQ Location, Industry, headcount, seniority, department.
3

Select rows → Add to list

Pick or create a list. Selected people are added to your CRM and enriched in the background.
You get auto-dedup against existing CRM data and inherited AI enrichment columns.

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3. Upload CSV

Best for: warm lists from events, webinars, or any spreadsheet you already have.
1

Prep your CSV

Minimum one of: email, name, or LinkedIn URL per row. Common other columns: title, company, company domain.
2

Create the list

Lists → New list → Upload CSV → name → drop the file.
3

Upload

Komo dedupes against your CRM and enriches missing fields. Toast confirms imported count.
Don’t pre-clean your CSV. Missing emails are inferred from name + domain; missing companies from email domains.

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4. Manual

Best for: warm intros and hand-picked lists.
1

Create the empty list

Lists → New list → Manual → name it.
2

Add people

Click Add person. Provide any combination of: name, email, title, company, company domain, LinkedIn URL.
3

Komo enriches

Any single identifier triggers background enrichment for the rest.

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5. Signal Monitoring (Signal Agent)

Best for: always-on pipeline. Mine LinkedIn engagement for in-market buyers continuously. Lists → New list → Signal Monitoring opens the Signal Agent creator. You define:
  • A name
  • Any combination of five signal sources: keywords, influencer profiles, competitor companies, your own profile, your company page
  • ICP filters — titles, locations, industries + matching mode (high precision vs. discovery)
  • Caps — daily lead, raw engager, enrichment
Saved agents run twice a day and auto-add matched engagers. → Full guide: Signal Agents

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6. Find with AI

Best for: narrow ICPs you can describe in a sentence. Komo does open-web research instead of database filtering.
1

Open Find with AI

Lists → New list → Find with AI.
2

Describe the buyer

Examples:
  • VP Sales at B2B SaaS companies with 50-500 employees that recently hired SDRs
  • Pre-seed founders working on developer tools, raised in the last 6 months
  • Heads of RevOps at Series B companies that went through a layoff in 2025
Click Continue.
3

Review match conditions

Komo turns your brief into structured criteria (name + description). Edit, add, or remove. Pick a result limit (default 20).
4

Start the run

Candidates stream into a table: Generated, Matched (with citations), Unmatched (with reasoning).
5

Save the list

Match conditions are preserved; matched candidates become contacts in your CRM.
Find with AI vs. People Search: People Search filters a database. Find with AI reads the open web — it’ll find buyers Apollo hasn’t seen yet. Slower, smaller result set, higher precision.

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Working inside a list

Each list behaves like a focused Contacts table:
  • AI-enrichable custom columns (e.g. “recent LinkedIn activity,” “tech stack”)
  • Filters and views
  • Side panel for full contact + parent account
  • Bulk actions: add to campaign, enrich, delete

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List → Campaign

Lists feed Campaigns. Attach a list and every new person flowing in (via Sales Nav refresh or Signal Agent) is auto-enrolled.

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Tips

Mix sources in one list. Sales Nav for bulk TAM + a Signal Agent attached for ongoing in-market flow.
Enrich after sourcing, not before. Build the list, add 5–10 columns, click Enrich all — cells run in parallel.
Use Find with AI for narrow ICPs. “Series B SaaS CFOs who switched ERPs” won’t be in Apollo. Find with AI surfaces them with citations.