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.
- Analyze
Ask anything across your connected sources. Plain-English summaries, charts inline only when they help.
- Run
Follow-ups keep context. Trigger writes — fix copy, create a discount — directly from the conversation.
- 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.
- Analyze
Five fresh runs per query against ChatGPT and Claude. We aggregate, rank, and parse the recommendation list.
- Run
Track yourself plus the brands you actually compete against. Public shareable reports for the team.
- 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.
- Analyze
Reads Search Console every Monday. Surfaces rising queries and pages slipping in rank.
- Run
Researches competitors, drafts an SEO-scored post, self-reviews, then publishes to WordPress on your sign-off.
- 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.
- Analyze
@mention datavessel in any channel. Ask anything about your GA4, Search Console, Shopify, or HubSpot data.
- Run
Trigger writes from the thread — post a summary, create a discount, fix a product description. Approve in-line.
- 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.