Geekbot collects the updates. Ray does the work.
Both run in Slack, and they are built for different jobs. Here is which one your team actually needs, checked against Geekbot's own pages.
Compared against Geekbot's own pages. Last checked August 2026.
What Geekbot is
Geekbot calls itself the easiest way to run standups, polls and surveys in Slack and Microsoft Teams. It asks your team the questions you configure on the schedule you pick, posts the answers as reports, and keeps the analytics: participation, blockers, sentiment, all of it. Since July 2026 it also publishes an MCP server and a CLI, so the assistant you already run can read your standup data. Geekbot's own page
One message, two outcomes.
What happens to the same sentence in your channel, depending on which of the two is in the room.
Priyain #eng
Blocked on the billing migration, the Stripe webhook keeps failing in staging.
Ray
- Files it in Linear against the billing project
- Shows you the approval card before it writes anything
- Chases the status and posts back when it moves
Geekbot
- Records it as a blocker in tomorrow's report
- Counts it in participation and blocker analytics
- Filing the ticket stays a job for a person
The difference, in one table.
What each one is for, side by side. Geekbot's column comes from their own pages, checked August 2026.
| Dimension | Ray | Geekbot |
|---|---|---|
| The job | Turns what is said in chat into tracked work, then follows it through | Collects written updates on a schedule and reports them |
| Pricing model | Flat by team size, never per seat, never metered | Per participant per month, standups and polls metered separately |
| Free tier | 25 tasks a month plus a one-time 50-task grant, any team size | Up to 10 users, unlimited standups, 3 months of history |
| Chat platforms | Slack today | Slack and Microsoft Teams |
| Writing to your other tools | A curated set of tools, each write behind an approval card | Reports and analytics in Geekbot, ecosystem integration on Enterprise |
| Standup depth | Scheduled digests you can reschedule by asking | 25+ templates, per-person schedules, out of office, anonymous mode |
What Ray costs
Free covers 25 tasks a month plus a one-time 50-task starter grant that never expires. Pro is one flat price for your team’s size: $49 a month for 1 to 3 people, $99 a month for 4 to 10 people, $199 a month for 11 to 25 people. No seats, and using Ray more never costs more.
What Geekbot costs
Free for teams of up to ten users, with unlimited standups, polls and surveys and three months of history. Above that, standups are $3 per participant a month, or $2.50 billed annually, and polls and surveys are $1 per respondent, or $0.75 annually. You pay once per person per month rather than per standup. Enterprise is on request and is where their Jira, Google Calendar and Asana ecosystem integration lives. their pricing page
The bill, in plain numbers.
What the same month costs on each side. Ray is flat. Geekbot is not.
| Your team | At | Ray | Geekbot |
|---|---|---|---|
| 1 to 3 people | 3 people | $49 | from ~$9 |
| 4 to 10 people | 10 people | $99 | from ~$30 |
| 11 to 25 people | 25 people | $199 | from ~$75 |
Geekbot's standup price of three dollars per participant a month, counted at the top of each Ray band. Their free tier covers ten users, so the first row is where a real team lands rather than where it starts. Geekbot's pricing
Which one you should pick
The honest version, their side first.
Choose Geekbot if
- Running good asynchronous standups is the job. Geekbot is better at it than Ray and cheaper for it: twelve participants cost about thirty-six dollars a month, twenty-five about seventy-five, against Ray's flat bands.
- Your team is on Microsoft Teams. Geekbot supports it and Ray is Slack-only today.
- You want polls, surveys, anonymous reporting and sentiment analytics as first-class products. Geekbot ships all of it and Ray ships none of it.
- You already run your own AI assistant and want it to read your standup data. Geekbot's MCP server does exactly that, which is a sound bet and a different one from ours.
Choose Ray if
- The updates were never the problem. The work they describe is: tickets that never get filed, statuses nobody chases, follow-ups that die in a thread.
- You want work to land in Linear, Jira, Notion or HubSpot from the conversation itself, with an approval card before anything is written.
- You would rather pay one flat price for the whole team than per participant as the team grows.
What Geekbot does not do
Each one checked against their own documentation, August 2026. If any of this changes, tell us and we will fix it.
- Geekbot's writes land inside Geekbot. Its MCP server can create standups and polls and post reports, and its Jira, Calendar and Asana ecosystem integration sits on the Enterprise tier, so filing and updating work in your other tools from a conversation is not what it is for. their docs
The rest of the field
If you are still drawing up the shortlist, these are the other tools people weigh against Geekbot and against Ray. Each one says where it is the better pick.
Ray vs ViktorViktor charges by credits. Ray charges by team size.
Ray vs Claude TagClaude Tag needs Claude seats. Ray needs a Slack channel.
Ray vs OpenClawOpenClaw runs on your machine. Ray runs for your team.
Ray vs Grok BotGrok Bot drives a computer. Ray works your tools.
Ray vs ChatGPTChatGPT is an assistant you ask. Ray is a teammate that acts.
Ray vs StanduplyStanduply runs the ceremonies. Ray finishes the work.
Ray vs DailyBotDailyBot makes the work visible. Ray moves it.
Ray vs Slack AISlack AI understands your Slack. Ray works outside it.
Ray vs Zapier AgentsZapier reaches everything. Ray lives where you talk.
Questions people ask.
The short answers are here. If we have not covered something, just ask.
Try Ray with your own team.
Free to start, no card. Ray sees only the channels you invite it to, and nothing sensitive happens without your approval. Or read Geekbot for their side of it.