Glossary

GTM AI

GTM AI is go-to-market AI that runs and measures the actual work — campaigns, outreach, and pipeline — across one connected stack. Instead of only drafting copy or surfacing suggestions, it reasons about a goal, calls real tools to act, and keeps a person in control of anything public. In dolv, GTM AI is a grounded command center where agents execute via 25+ tools and one unified funnel measures the result.

What GTM AI actually is

Go-to-market work is fragmented: a campaign lives in one tool, the outreach in another, the analytics in a third, and the CRM in a fourth. GTM AI collapses that sprawl into a single operator. It reads live data from across your stack, decides what to do next, and takes the action — drafting and sending outreach, building a campaign, updating a record, pulling a report — rather than leaving you a checklist. The defining trait is execution: GTM AI does the work and then proves whether it moved pipeline.

That makes GTM AI a form of agentic AI applied to revenue. It is broader than a single chatbot and more capable than rule-based automation, because it chooses its own tools to reach a goal you set.

Why GTM AI matters

Most teams already have AI that writes. The bottleneck is everything after the draft — getting it shipped, connected to the right channel, and measured against a baseline. GTM AI closes that gap. It removes the swivel-chair work between tools, keeps a human gate on consequential sends so nothing off-brand goes public, and ties every action back to a funnel score so you can tell signal from noise. The result is a go-to-market motion that moves at the speed of one connected system instead of a dozen disconnected ones.

How dolv does GTM AI

In dolv, GTM AI is the whole product, grounded by default in your company profile, playbooks, and knowledge base. The command center exposes 25+ tools that execute real work across 20 read-and-write integrations. Public actions queue in a human-in-the-loop Approvals inbox — prepare → approve → executing → done — so you approve outreach and posts before they ship. For bigger plays, a Director coordinates multiple agents, each with a role, a $250/mo budget cap, and a complete run history.

Measurement is built in. dolv maps live metrics onto one unified TOFU/MOFU/BOFU funnel, scores it against a rolling 30-day baseline, and weights the stages into a composite health score (TOFU 0.25, MOFU 0.40, BOFU 0.35). A cross-metric correlation engine, multi-touch attribution across five models, intent-signal lead scoring, and a North Star with OKRs and ICE experiments (validated by a real z-test) round out the picture — so every GTM action is grounded, executed, and proven.

In practice

A launch, run as one motion

Say you tell dolv to launch a feature. The Director spins up agents to draft the announcement email in Gmail, schedule a LinkedIn post, update the campaign in Google Ads, and log the contacts in your CRM. Internal, reversible steps run on their own. The email and the post land in Approvals for your sign-off. Once you approve, they execute — and the funnel score and attribution update so you can see, against the 30-day baseline, exactly what the launch moved. dolv it.

FAQ

GTM AI questions

Quick answers to what people ask about go-to-market AI.

What is GTM AI?

GTM AI is go-to-market AI that runs and measures the work — campaigns, outreach, and pipeline — across one connected stack, rather than only drafting copy or surfacing suggestions. In dolv it is a grounded command center where agents call 25+ tools to execute real work, a human approves anything public, and one unified funnel measures the result.

How is GTM AI different from marketing automation?

Marketing automation fires rule-based workflows on fixed triggers. GTM AI reasons about a goal, chooses the right tools, and takes action — then measures the outcome. dolv keeps a human-in-the-loop gate on public sends, so it acts autonomously on internal work but waits for your approval before outreach goes live.

How does dolv measure whether GTM AI worked?

dolv maps live metrics from 20 connected integrations onto one TOFU/MOFU/BOFU funnel, scores it against a rolling 30-day baseline, and weights the stages into a composite health score (TOFU 0.25, MOFU 0.40, BOFU 0.35). Multi-touch attribution across five models and a correlation engine show which work actually moved pipeline.

Stop reading, start running

See GTM AI actually execute

Grounded agents, human-in-the-loop approvals, and one unified funnel — running in a single command center. dolv it.