Apollo.io vs Attio

Apollo builds and verifies a large contact database from multiple sources, its contributor network, email engagement signals, public crawling and vetted third-party providers, which suits it to volume prospecting. Attio does not sell you a database; it enriches the records your motion creates and logs the activity around them, so its data quality tracks your pipeline rather than a vendor's coverage.

Different things, usefully. Apollo's free tier runs the actual motion in miniature, list-building and sequencing included, so a founder can test the workflow before paying. Attio's free plan carries up to three seats with syncing, enrichment and the AI agents themselves, which run on a monthly credit allowance, not gated to paid tiers, so the free plan does exercise the agentic product, within workspace credits it cannot top up.

Personal data at scale, on both sides. Attio's enrichment and auto-logging ingest prospect and customer data wholesale, and for EU-serving teams the GDPR lawful-basis responsibility sits with the customer, not the vendor. Apollo brings deliverability under one roof with a built-in warm-up engine, but the consent and lawful basis for who you contact still rest with you. Rollout on either is a data-protection decision as much as a tooling one.

Both start free, then scale differently. Apollo charges per seat across three paid rungs, meters contact data by credit allowance, and sets a three-seat minimum on its top rung. Attio prices its two middle rungs per seat at a cheaper annual cadence, meters agent usage by monthly credits as well as seats, and keeps its top rung quote-only. Apollo's bill tracks data volume; Attio's tracks seats and agent credits.

They divide cleanly, so teams run both. Apollo is the sourcing engine: a multi-source contact database, enrichment and outreach sequences with a built-in warm-up, for finding and contacting prospects at volume. Attio is the system of record: agents and workflows that keep the CRM current, auto-logged email and calendar activity, and a data model shaped to how you sell. Source the pipeline in one, keep it true in the other.

The two lock in different things. Attio is a hosted platform, and its REST API, webhooks and App SDK are documented routes for moving records and their activity out; the workflows you build there are rebuilt elsewhere. Apollo's worth is the contact data itself, so the question on leaving is how much of your enriched, sequenced pipeline travels with you. Check each vendor's export terms first.

Seats scale differently. Apollo prices its paid rungs per seat and reserves the dialler, CRM sync and deliverability suite for paying users, with a three-seat minimum on its top tier. Attio's free plan holds up to three seats, then charges per seat, and adds a developer surface: an official MCP server, REST API, webhooks and an App SDK. Check each vendor's plan terms for SSO and finer admin controls.

Match the tool to the bottleneck. Apollo rewards a team that will work outbound, with many levers across prospecting, sequences and deliverability; a founder who just wants a tidy contact list may find it heavier than needed. Attio rewards a team willing to shape its own data model and workflows; anyone wanting an opinionated CRM out of the box has more setup here than expected. Start where your bottleneck is.

Attio wins the moment your edge is your own relationships, inbound, referrals and existing accounts, where a flexible record and agents that keep it current matter more than contact volume. Apollo wins when the CRM stays light but outbound runs hot, since its multi-source database, sequences and warm-up start conversations a system of record assumes you already have. The apparent loser wins when the other's strength is beside your constraint.

One fact flips it: where your pipeline actually comes from. If most growth will come from outbound to people who do not yet know you, Apollo's data and sequencing move to the front. If growth comes from relationships you already have, and the problem is keeping them worked, Attio leads and a lighter data source will do. Both matter only when sourcing and system of record are equally load-bearing.