Use cases · The shape

One loop.
Three moves.

Analyze · Run · Track. Two working examples below of what that looks like when teams point it at a real, recurring job.

Analyze

Connect your sources. Ask in plain English. Get the numbers behind the answer.

Run

Act through the same tools. Publish, fix copy, create a discount, post a summary.

Track

Put any of it on a schedule. Get reports when something moves.

Analytics

Talk to your data in plain English.

Connect GA4, Search Console, Shopify, Shopware. Ask the questions your gut wants answered. Get real answers — with sources cited, in language you'd use.

  1. Analyze

    Ask anything across your connected sources. Plain-English summaries, charts inline only when they help.

  2. Run

    Follow-ups keep context. Trigger writes — fix copy, create a discount — directly from the conversation.

  3. Track

    Pin a question. datavessel watches it and pings you when something material moves.

AEO

See how AI talks about you.

ChatGPT and Claude already recommend brands by name. datavessel scans them weekly for the queries that matter — and shows you where you and your competitors land.

  1. Analyze

    Five fresh runs per query against ChatGPT and Claude. We aggregate, rank, and parse the recommendation list.

  2. Run

    Track yourself plus the brands you actually compete against. Public shareable reports for the team.

  3. Track

    Every Monday: visibility, average position, what changed. The signal — not the noise.

Growth on autopilot

Grow organic traffic on autopilot.

Find rising queries, write SEO-scored blog posts, publish to WordPress, learn from results — every week. You sign off on each publish; the loop does the rest.

  1. Analyze

    Reads Search Console every Monday. Surfaces rising queries and pages slipping in rank.

  2. Run

    Researches competitors, drafts an SEO-scored post, self-reviews, then publishes to WordPress on your sign-off.

  3. Track

    Watches what the publish moved. Learns from the result so next week's draft is sharper.

Inside Slack

Run datavessel from any channel.

If your team lives in Slack, datavessel does too. Query data, trigger writes, schedule checks — all without leaving the conversation.

  1. Analyze

    @mention datavessel in any channel. Ask anything about your GA4, Search Console, Shopify, or HubSpot data.

  2. Run

    Trigger writes from the thread — post a summary, create a discount, fix a product description. Approve in-line.

  3. Track

    Schedule checks that only post when something moves. Team memory holds decisions and action items.

Have a different use case?

The two above are working examples, not the limits. If you have a specific recurring job, connect your sources and the loop handles the rest.