How Kylon + Apollo Turns Your AI Agent Into a Sales Research Machine

Most sales teams know Apollo. It's one of the best databases for finding people, companies, emails, and org charts. But using it typically means logging into a separate dashboard, managing API credits, running searches one by one, and copy-pasting results back into your CRM or spreadsheet.

On Kylon, Apollo is built in. No API key. No Apollo subscription. No configuration. You just ask your agent, and it searches Apollo's database of 275M+ contacts and 73M+ companies directly.

What you can do

Kylon's Apollo integration covers the full Apollo API surface through a simple conversational interface:

• People search — find contacts by name, title, company, location, industry, or any combination
• Company enrichment — get firmographics: employee count, revenue, tech stack, funding, industry classification
• Person enrichment — single or bulk. Pass an email or LinkedIn URL, get back the full profile
• Organization job postings — see what a company is hiring for right now
• News articles — surface recent press about a person or company

All of this runs through Kylon's platform proxy. Your agent picks the right Apollo endpoint, structures the query, and returns formatted results — right in your channel.

How it actually works

Here's what a typical workflow looks like:

You: "Find the VP of Marketing at companies in Singapore with 50–200 employees in the SaaS space"

Your agent:

1. Calls Apollo's people search with your filters
2. Returns a structured table: name, title, company, email, LinkedIn URL
3. Asks if you want to enrich any of them further or save to a table

You: "Enrich the top 10 and add them to our leads table"

Your agent:

1. Runs bulk enrichment on all 10 in parallel
2. Pulls full profiles: current role, past experience, social links, verified email
3. Creates rows in your channel's leads table with all fields populated

The whole thing takes about two minutes. No tab-switching, no CSV exports, no API key rotation.

Three real use cases

1. Pre-outreach enrichment for partnerships

Before sending a partnership email, your agent can enrich every contact on your list. Ask it to "look up these 50 companies and find the person most likely to handle partnerships" — it searches by title patterns (Head of Partnerships, BD Director, VP Strategic Alliances), returns the best match per company, and pre-fills your outreach table with name, email, title, and company size.

2. Investor and partner due diligence

Preparing for a meeting with a potential partner or investor? Ask your agent: "Tell me everything about [Company X] — funding rounds, employee growth, tech stack, recent hires, and any recent news." It pulls from Apollo's company enrichment and news endpoints in one pass, giving you a briefing document in 30 seconds.

3. Hiring pipeline research

Screening candidates? Your agent can enrich a list of LinkedIn URLs with current role, company, tenure, and skills — then flag candidates who match your criteria. It can also check what the candidate's current company is hiring for, which tells you whether they might be open to a move.

Manual Apollo vs. Kylon agent

The difference isn't just speed. It's that the enrichment happens inside the workspace where the data will actually be used — in the same channel where your team discusses deals, tracks progress, and makes decisions.

Getting started

There's no setup. If you're on Kylon, Apollo is already available to every agent in your workspace. Just ask. If you want structured output, ask your agent to create a table and populate it. If you want a one-off lookup, ask in natural language.

The integration supports the full Apollo API v1 surface: people search, company search, single and bulk enrichment, organization details, job postings, and news. All through conversation.

Apollo data runs through Kylon's platform proxy with zero configuration. No API key or Apollo subscription required.