Avoma vs Clay
Avoma and Clay are both Sales engagement & outbound tools. Here is how they compare on pricing, audience, platforms and community votes.
AI meeting notes, scheduling and conversation intelligence for sales
Data enrichment and research automation for GTM
| Pricing | Paid · $29 | Freemium · $185 |
| Built for | Small businesses, Enterprise | Small businesses, Enterprise |
| Platforms | web | web |
| Country | US | US · 2017 |
| Community votes | 0 | 0 |
| Rating | — | — |
Avoma
Avoma is a US-based AI meeting assistant that records, transcribes and summarizes calls, then extends into scheduling, lead routing, conversation intelligence and revenue intelligence. It is aimed at sales, customer success and recruiting teams that want call notes, CRM updates and coaching insights in one tool instead of stitching together a notetaker, a scheduler and a separate coaching platform.
The core plan records Zoom, Google Meet and Microsoft Teams meetings, transcribes in more than 70 languages, writes AI notes from templates, drafts follow-up emails and pushes notes and fields into Salesforce, HubSpot or Pipedrive. Ask Avoma answers questions about a meeting or, on Enterprise, across all meetings. Paid seats are only needed for people who record; viewers are free. Conversation Intelligence (call scoring, talk patterns, topic trackers), Revenue Intelligence (deal and churn risk, MEDDIC or BANT scoring, forecasting) and Lead Router are sold as per-seat add-ons.
Avoma fits SMB and mid-market revenue teams that want Gong-style insight at a fraction of the price. Gong is deeper for large sales organizations, Fireflies and Otter are cheaper if you only need transcripts, and tl;dv is lighter and friendlier for product and research calls.
Buying tip: annual billing saves up to a third on the base plan, but add-ons quickly double the per-seat cost, so trial the Organization plan for 14 days with all add-ons enabled and keep only the ones reps actually use. Avoma also offers an MCP server and API that expose meeting transcripts and notes to AI assistants.
Clay
Clay is a go-to-market data platform from a New York company that works like a spreadsheet for prospecting and enrichment. You import or source lists of companies and people, and each column can call an external data provider, an AI agent or a formula, so a row fills itself with firmographics, contact details, technology data and custom research.
Its best-known feature is waterfall enrichment: Clay queries more than 100 providers in sequence until one returns, for example, a verified email, and you spend credits only on results. Claygent is an AI research agent that visits websites and answers custom questions, such as whether a company sells to enterprises or has a free trial. Signals track job changes, hiring and funding, and results sync to CRMs such as HubSpot and Salesforce and to sequencing tools. Plans are tiered by monthly credits, starting with a limited free plan, and credit consumption is the main cost driver.
Clay fits revenue operations teams, outbound sales teams and agencies that work at volume and can invest time in building tables. The learning curve is real, poorly designed tables burn credits, and for a simple lead list it is overkill. Apollo combines a contact database with sequencing in a simpler package, ZoomInfo is the enterprise data incumbent, and Cognism is strong for European contact data. An ecosystem of Clay agencies and consultants has grown around the product because setup skill matters so much.