Grounded content that sounds like your category
compose_content and apply_skill draft landing-page sections, launch emails and LinkedIn posts grounded by default in your company, playbooks and knowledge — your positioning, not generic SaaS filler.
dolv gives B2B SaaS teams grounded AI agents that execute campaigns, outreach and content from one command center — then measures your full TOFU/MOFU/BOFU funnel so you know what actually moved the needle. An operator that does the work, not just another dashboard.
Agentic AI for SaaS marketing — grounded, human-approved, full-funnel.
Not a scattered stack that reports the past — a grounded command center with 84 tools that execute go-to-market work across the apps you already run.
compose_content and apply_skill draft landing-page sections, launch emails and LinkedIn posts grounded by default in your company, playbooks and knowledge — your positioning, not generic SaaS filler.
create_campaign spins up a launch, and a Director orchestrates member agents in parallel or in sequence — research, content, outreach and analysis running as one motion with shared context.
prepare_email and prepare_linkedin_post stage every outbound touch in Approvals. Drafting and planning run instantly; sending and publishing wait for a one-click sign-off.
Search Console drives TOFU, GA4 sessions drive MOFU, GA4 conversions drive BOFU — rolled into one weighted composite health score against a rolling 30-day baseline.
A full CRM plus intent-signal lead scoring reads engagement across your connected tools, so SDRs and demand gen work the highest-intent accounts first — not a random inbox.
Five multi-touch attribution models and a cross-metric correlation engine tie campaigns to pipeline, so marketing is judged on what moved — measured against your North Star and OKRs.
A scattered stack reports the past. B2B SaaS GTM AI needs one place that decides and acts.
Most SaaS marketing teams run go-to-market across a dozen disconnected tools — analytics here, ads there, a CRM that only reports, content tools with no memory of your brand. Every hand-off loses context, and nothing in the stack actually does the work.
dolv replaces that with a single AI command center for SaaS: one grounded operator that reads your live data, runs the campaign and measures the outcome. Compare reasoning AI agents with rule-based automation and the difference is simple — it reasons, then acts.
Move fast where it is safe; pause where it counts. The approval inbox holds every
external send: prepare → approve → executing → done.
Outbound is where SaaS teams get nervous about AI — and rightly so. In dolv every public action is prepared and parked in Approvals, while internal, reversible work runs now. The flow is explicit and every result is logged to a run history, so a human reviews before an email sends or a post goes live. Confident outreach without the autopilot risk — see the full loop on how it works.
Full-funnel SaaS marketing AI: live metrics roll up into one weighted composite health score, so your real bottleneck surfaces.
dolv maps your live metrics into a unified TOFU/MOFU/BOFU funnel and benchmarks each stage against a rolling 30-day baseline, then weights them into one composite health score — TOFU 0.25, MOFU 0.40, BOFU 0.35. Search Console drives the top, GA4 sessions the middle, GA4 conversions the bottom.
The cross-metric correlation engine then shows what is actually driving the number, and ICE-scored experiments — validated with a z-test against your North Star and OKRs — tell you what to try next. See the full system on funnel intelligence.
Bottleneck detected at MOFU — your weakest weighted stage.
If you run demand gen, product marketing or a whole GTM motion at a B2B SaaS company, dolv is the operator that pulls the pieces together. One person reviews and approves work the AI prepared — composing on-brand content, spinning up multi-agent launches, staging outreach and reading the funnel — so a small marketing team ships like a far bigger one. It is SaaS demand gen AI with guardrails, not an autopilot that goes rogue.
Pair it with AI marketing automation, see the AI agents behind it, ground every reply with grounded AI, or browse all solutions across go-to-market teams.
Start with the tools you already live in. Every integration reads and writes — no rip-and-replace.
Search Console and GA4 feed measurement; Gmail, Outlook and LinkedIn power outreach; WordPress, Google Docs and Sheets handle content. Thirty real read + write integrations in all — enough to run go-to-market end to end without leaving the command center.
How grounding, multi-agent launches, approvals and full-funnel measurement work inside dolv.
Every reply and every draft is grounded by default in your company context, playbooks and knowledge base. So when an agent composes a landing-page section, a launch email or a LinkedIn post, it speaks in your positioning and category language — not generic SaaS filler. You set the source of truth once, and grounded AI keeps content on-message across the whole team.
Yes. A Director agent orchestrates a multi-agent campaign — running members in parallel or in sequence — so research, content, outreach and analysis execute as one motion with shared context. The campaign produces drafts and prepared actions that land in Approvals; a human signs off before anything publishes or sends. You get an end-to-end launch without losing control of what ships.
Yes. dolv connects to Google Analytics 4 and Google Search Console as read + write integrations, alongside Gmail, Outlook, LinkedIn, WordPress, Google Docs and Sheets. Those live metrics feed the unified TOFU/MOFU/BOFU funnel — Search Console for top of funnel, GA4 sessions for the middle, GA4 conversions for the bottom — so your measurement is built on real data, not estimates.
No. Public or irreversible actions — sending an email, posting to LinkedIn, publishing a WordPress post — are prepared and queued in Approvals, where a person reviews and clicks approve before anything leaves your account. Internal, reversible work — drafting, planning, creating a task — runs immediately. That is human-in-the-loop by design, not autopilot.
Five multi-touch attribution models and a cross-metric correlation engine tie each campaign to the funnel signal it actually moved, all measured against a North Star metric, OKRs and ICE-scored experiments validated with a z-test. So demand gen is judged on pipeline, not on how many emails went out.
Grounded agents, human-approved outreach and a full-funnel score that tells you what to fix next. Connect your stack and see it on your data. dolv it.
Different shape of team? See AI for growth teams, AI GTM for startups, or AI for solo & lean teams.