Clay is great at enriched lists. But GTM teams want execution and measurement, not just data. dolv is a grounded AI command center that composes, prepares and measures outreach across your stack — with a human in the loop on every send. The best Clay alternative for doing the work, not just building it.
Enriched lists are the start of GTM, not the finish. The reason people search for an alternative to Clay is rarely the data — it’s the gap between “we have the contacts” and “we shipped on-brand outreach and know what it drove.”
Clay is excellent at waterfall enrichment, scraping and signals — building the list. But the list still has to be turned into outreach, and that outreach still has to be measured. dolv is the operator that closes both gaps: a grounded AI command center with 84 callable tools that do the work and report on the result. Pair it with your data source of choice, or pull contacts straight from your connected integrations, then let dolv compose, prepare and measure across the funnel. See the full head-to-head on dolv vs Clay.
Not a data provider — a grounded command center with tools that execute outreach, then measure what it moved. This is the agentic AI GTM platform for doing the work.
Grounded chat with 84 callable tools that do real work — compose_content, prepare_email and prepare_linkedin_post produce on-brand outreach, grounded by default in your company, playbooks and knowledge. An operator, not a chatbot.
Every external send queues in the approval inbox — prepare → approve → executing → done. On approve, the real Gmail, Outlook or LinkedIn call runs. Nothing leaves the building without your one-click sign-off.
Configure agents with a role and a grounded prompt, capped at a monthly budget (default $250). A Director orchestrates multi-agent campaigns into one deliverable, and every run logs its start, finish, output and any error.
A TOFU/MOFU/BOFU funnel on a rolling 30-day baseline with a weighted health score (TOFU .25 / MOFU .40 / BOFU .35), so you judge outreach on what it moved — not on how many emails went out.
A cross-metric correlation engine surfaces lagged, plain-language cause → effect, while five multi-touch attribution models tie each touch back to the pipeline it actually drove.
Lead scoring reads engagement signals across your 30 connected read+write integrations and ranks the accounts most likely to move next — with the reasons attached, ready to act on.
A fair, short comparison of where each tool fits. For the full head-to-head, see dolv vs Clay or browse the Compare hub.
| Clay | dolv | |
|---|---|---|
| Primary job | Waterfall data enrichment, list building and signals | Executing and measuring GTM work across your stack |
| Outreach | Builds the list; export to another tool to send | Composes and prepares email + LinkedIn outreach in-app |
| Approvals | Not the focus | Human-in-the-loop inbox: prepare → approve → executing → done |
| Measurement | No funnel measurement | Unified TOFU/MOFU/BOFU funnel health + correlation engine |
| Enrichment data | Core strength — providers and scraping | Not a data provider; pair Clay data with dolv execution |
A fair Clay vs dolv comparison means being clear about the line. The approval inbox holds every external send: prepare → approve → executing → done. Internal, reversible work runs now.
dolv doesn’t stop at a list. It composes, ships on your approval, then measures what the outreach actually drove across the funnel.
Start from a Clay export or pull contacts straight from your 30 connected read+write integrations. dolv is not a data provider — it picks up where enrichment ends.
The command center drafts email and LinkedIn outreach grounded in your company, playbooks and knowledge — so every message reads like your team wrote it, not a template.
Each external send waits in the approval inbox. You approve in one click and the real Gmail, Outlook or LinkedIn call runs — prepare → approve → executing → done.
Unified funnel intelligence, five attribution models and the correlation engine tie the outreach back to pipeline against your North Star and OKRs.
GTM teams ready to execute and measure, not just build lists. If you want an agentic AI GTM platform that ships work and proves impact, this is the best Clay alternative 2026 for your stack.
dolv fits teams who already have — or can source — their contacts, and now need to do something with them: compose grounded outreach, queue follow-ups, run multi-agent campaigns under a Director, and measure the result against a North Star metric, OKRs and ICE-scored experiments. The unified TOFU/MOFU/BOFU funnel intelligence and cross-metric correlation engine close the loop, so you judge outreach on pipeline impact — not on how many emails went out. See the operators behind it on AI agents, the outreach workflow on AI sales automation, the measurement layer on funnel intelligence, the pricing, or browse every head-to-head on the Compare hub.
What dolv does, where it stops, and how approvals, grounding and measurement work.
Only the execution and measurement side. dolv composes, prepares and measures outreach across your stack — but it is not a data provider, so it does not replace Clay’s enrichment and list-building.
Yes. LinkedIn and Gmail are among 30 real read+write integrations, so the AI can prepare outreach through the tools you already use and run the real call once you approve it.
Every draft is grounded in your company context, playbooks and knowledge by default, so outreach reads like your team wrote it — not a generic template.
Yes. The human-in-the-loop inbox holds every external send — prepare → approve → executing → done — so you decide what actually goes out.
A unified TOFU/MOFU/BOFU funnel on a rolling 30-day baseline, a weighted health score, five attribution models and a correlation engine tie each touch to the pipeline it actually moved.
Bring your data, point dolv at the outreach, and approve what ships — grounded in your business, measured across the funnel, with you in the loop. dolv it.
