Solution · Ecommerce marketing

AI for ecommerce marketing that runs your whole store go-to-market

dolv gives ecommerce teams grounded AI agents that execute catalog content, outreach and SEO from one command center — then measures the full funnel from impression to order, so you know what actually drove revenue. An operator that does the work, not just another dashboard.

Agentic AI for ecommerce — grounded, human-approved, full-funnel.

The action layer

What ecommerce GTM AI actually does in dolv

Not a scattered stack that reports the past — a grounded command center with 25+ tools that execute store go-to-market across the apps you already run.

On-brand content at store scale

compose_content and apply_skill draft product descriptions, category pages and launch copy grounded by default in your catalog knowledge and positioning — ecommerce content automation AI that sounds like your store, not generic filler.

Product posts to WordPress

prepare_wordpress_post stages an on-brand product or category post as a real WordPress draft, queued for a human to review. WordPress is a true read + write integration, so the post ships with your language — never placeholder copy.

Human-approved outreach and social

prepare_email and prepare_linkedin_post stage every lifecycle email and launch post in Approvals. Drafting and planning run instantly; sending and publishing wait for a one-click sign-off — confident outreach without the autopilot risk.

Full-funnel ecommerce AI

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, so traffic, engagement and orders live in one place.

SEO tied to revenue

The cross-metric correlation engine connects Ahrefs domain rating and Search Console rankings to GA4 sessions and orders, so you fix the one bottleneck capping conversions instead of chasing every keyword — AI agents for ecommerce that follow the money.

Multi-agent launch campaigns

create_campaign spins up a seasonal or product launch, and a Director orchestrates member agents — research, content, outreach and analysis running as one motion with shared catalog context, not a single thread of chat.

  • 25+ grounded tools that read your data and execute real ecommerce GTM work.
  • $250/mo default budget cap per AI agent, with tracked spend and a full run history.
  • 5 models multi-touch attribution models tie campaigns to the revenue they moved.
  • 20 read + write integrations across analytics, SEO, email, social and content.
The problem

Run ecommerce marketing from one command center

A scattered stack reports the past. Ecommerce GTM AI needs one place that decides and acts.

Most ecommerce teams run marketing across a dozen disconnected tools — store analytics here, ads there, SEO tools with no link to revenue, content apps that forget your catalog. Every hand-off loses context, and nothing in the stack actually does the work.

dolv replaces that with a single AI command center for online stores: one grounded operator with 25+ callable tools that read your live data, run the campaign and measure the outcome. It is chat that executes, not just suggests — compare reasoning AI agents with rule-based automation and the difference is simple: it reasons, then acts.

  • Store analytics in one tab, ads in another
  • SEO tools with no link to revenue
  • Product copy with zero catalog memory
  • Outreach and social no one reviews
  • Dashboards that report, never act
Content

On-brand content at store scale

Ecommerce content automation AI grounded in your catalog — so every product page sounds like your brand, not a template.

compose_content

Draft on-brand product and category copy from catalog knowledge.

prepare_wordpress_post

Stage a WordPress product post for human approval.

prepare_email

Queue an outbound or lifecycle email for sign-off.

prepare_linkedin_post

Stage a social post before it ships.

apply_skill

Run a reusable merchandising playbook against live context.

get_integration_data

Read live GA4, Search Console and Ahrefs data.

Grounding is on by default for every agent. compose_content and prepare_wordpress_post pull your real catalog knowledge and positioning, so a category page or product description reads like your store — the foundation of dependable AI for online stores marketing at scale. Ground every reply with grounded AI.

Control

Nothing public ships until you approve it

Move fast where it is safe; pause where it counts. The approval inbox holds every external send: prepare → approve → executing → done.

Runs instantly — reversible

  • compose_content — draft a product or category page
  • create_campaign — plan a seasonal launch
  • create_task — queue the next step on the board

Needs your sign-off — external

  • prepare_email — send a lifecycle or promo email
  • prepare_linkedin_post — publish on LinkedIn
  • prepare_wordpress_post — publish a product post

Outbound is where ecommerce 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 a lifecycle email sends or a launch post goes live. Confident outreach without the autopilot risk — see the full loop on how it works.

Measure

Measure traffic-to-conversion on real data

Full-funnel ecommerce AI: live metrics roll up into one weighted composite health score from impression to order, 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 impressions and clicks drive the top, GA4 sessions and bounce the middle, GA4 orders and revenue 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.

Composite funnel health 30-day baseline
TOFU 0.25 Search Console · Impressions & clicks
MOFU 0.40 GA4 sessions · Sessions & bounce
BOFU 0.35 GA4 conversions · Orders & revenue

Bottleneck detected at MOFU — your weakest weighted stage.

SEO

SEO that finds the bottleneck

AI agents for ecommerce tie rankings to revenue — not vanity traffic.

Rankings only matter if they sell. dolv reads Ahrefs domain rating and Search Console positions, then runs the cross-metric correlation engine to show which top-of-funnel signals actually move conversions and revenue downstream in GA4.

Instead of chasing every keyword, you fix the one bottleneck capping orders. It is the same engine that powers our AI SEO work, pointed at your store — so SEO effort follows the money, not the dashboard.

Correlation
rankingstrafficorders
An ecommerce marketing lead reviewing a prepared product post before approving it for WordPress
Who it's for

Built for ecommerce teams who market like a department

If you run merchandising content, lifecycle email or a whole store GTM motion, dolv is the operator that pulls the pieces together. One person reviews and approves work the AI prepared — composing on-brand catalog copy, spinning up seasonal launches, staging outreach and reading the funnel from impression to order — so a small marketing team ships like a far bigger one. It is AI for online stores marketing with guardrails, not an autopilot that goes rogue.

Integrations

Connect the ecommerce stack you already run

Start with the tools you already live in. Every integration reads and writes — no rip-and-replace.

  • GA4
  • Search Console
  • Ahrefs
  • WordPress
  • Gmail
  • LinkedIn

GA4 and Search Console feed measurement, Ahrefs feeds SEO, WordPress handles content, and Gmail and LinkedIn power outreach. They are part of 20 real read + write integrations across Google Workspace, Microsoft 365, ads and analytics — enough to run ecommerce go-to-market end to end without leaving the command center.

FAQ

AI for ecommerce marketing, answered

How grounding, catalog content, approvals, full-funnel measurement and SEO work inside dolv.

Which ecommerce metrics does dolv track?

dolv reads live data from Google Analytics 4 and Google Search Console and rolls it into a unified funnel. Search Console impressions and clicks drive top of funnel, GA4 engaged sessions and bounce drive the middle, and GA4 conversions drive the bottom. Each metric is benchmarked against a rolling 30-day baseline and weighted into one composite health score, so you see traffic, engagement, and revenue in one place instead of three disconnected tabs.

Can it publish product content to WordPress?

Yes. An agent uses compose_content to draft on-brand product and category copy grounded in your catalog knowledge, then prepare_wordpress_post stages it as a WordPress post. WordPress is a real read + write integration, so the draft is prepared with your positioning and language — not generic filler — and queued for a human to review before it goes live.

Does AI content need approval before going live?

Yes, for anything public. Publishing a WordPress post, sending an email, or posting to LinkedIn is prepared and queued in Approvals, where a person reviews and clicks approve before it ships. The flow is explicit — prepare, approve, executing, done — and every result is logged. Internal, reversible work like drafting and planning runs immediately, so you move fast where it is safe and pause where it counts.

How does it tie SEO to conversions?

dolv connects Ahrefs domain rating and Search Console rankings to GA4 sessions and conversions through its cross-metric correlation engine. Instead of guessing whether a content push or a ranking gain moved revenue, the engine surfaces which top-of-funnel signals actually correlate with bottom-of-funnel conversions — so you fix the real bottleneck rather than the loudest dashboard.

Can I run a seasonal launch end to end?

Yes. create_campaign spins up a launch and a Director agent orchestrates member agents — running in parallel or in sequence — so research, catalog 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, so you get an end-to-end seasonal push without losing control of what ships.

Ready when you are

Run ecommerce marketing from one command center.

Grounded agents, human-approved content and a full-funnel score that ties traffic to orders. Connect your stack and see it on your store. dolv it.

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