AI AGENTS
Verify competitor comparison claims against live competitor pages
On a schedule, an agent rechecks every "vs competitor" claim on your site by crawling the named competitor's current pages, flagging claims that have gone stale or false in Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionLoad tracked comparison claims and competitor URLsAirtable
- ActionCrawl current competitor pagesFirecrawl
- ActionJudge whether each claim still holdsOpenAI
- LogicClaim drifted or now false?
- OutputPost drifted claims with rewrite to SlackSlack
What it does
Comparison claims rot fast — a competitor changes their pricing or drops a limit and your "unlike them, we offer X" line becomes false. This agent maintains a list of live comparison claims, and on a weekly schedule it crawls each named competitor's current pages, checks whether the claim still holds, and reports any drift so you can fix copy before a prospect catches it.
When to use it
For product marketing teams running competitive comparison pages or battlecards who can't manually re-audit competitor sites every week.
How it works
- 1A weekly schedule starts the run.
- 2The agent loads the tracked comparison claims and their source competitor URLs from Airtable.
- 3For each claim it crawls the competitor's current page with Firecrawl to get fresh content.
- 4OpenAI judges whether the claim is still accurate against the fetched page.
- 5A branch separates still-valid claims from drifted or now-false ones.
- 6Drifted claims post to a Slack channel with the old claim, the current evidence, and a suggested rewrite.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More AI Agents workflows
Observability Cost Allocation Report
Monthly, an agent pulls Datadog and Honeycomb usage, allocates spend to teams and services by tags, writes the breakdown to Snowflake, and posts a chargeback summary to Slack.
Vendor Shortlist Matrix from a Buying Brief
An agent reads a buying brief, researches candidate vendors across the live web, and builds a scored comparison matrix in Coda ranking each vendor against your stated criteria.
Split oversized Linear epics into estimated child issues
An agent scans newly created Linear epics, breaks each one above a size threshold into discrete child issues with point estimates and acceptance criteria.
Datadog Bill Spike Attribution Agent
When a daily Datadog cost check detects a spend jump, an agent attributes the increase to the specific services and metric types driving it and posts a ranked breakdown to Slack.
Buying Brief Email to Shortlist Doc in Drive
When a buying brief arrives by email, an agent researches the market and produces a polished narrative shortlist document in Google Drive, then replies to the sender with the link.
Zoom Demo Low-Score Objection Escalation to Manager
Scores how well a rep handled objections in each Zoom demo, and only when the handling score falls below a threshold does it create a coaching task in ClickUp and alert the rep's…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
