MARKETING
Brand-Mention Spike Detector and Slack Alert
Tracks the daily volume of unlinked brand mentions, compares it against a rolling baseline.
How it runs
The automated pipeline, trigger to output.
- TriggerHourly schedule fires
- ActionCount recent unlinked mentionsExa
- ActionAppend count to time-series tablePostgres
- LogicCompare against rolling baseline
- OutputAlert channel on detected spikeSlack
What it does
This workflow watches how often your brand gets mentioned without a link and tells you when something unusual is happening. Instead of a static daily list, it surfaces sudden surges so your team can react while a story or trend is still hot.
When to use it
Use it when you run launches, react to news cycles, or simply want an early-warning signal that conversation about your brand is accelerating. It complements a steady opportunity tracker by catching the moments that deserve immediate attention.
How it works
- 1A schedule runs the count every few hours.
- 2Exa pulls the current set of recent unlinked mentions for your brand.
- 3The new count is appended to a Postgres time-series table that holds the rolling history.
- 4A logic step computes the trailing baseline and flags whether today's count exceeds it by your chosen multiple.
- 5If no spike is detected the run ends quietly.
- 6On a spike, a Slack message posts the new total, the percentage jump, and the top mentioning domains so the team can act.
Set it up
What you configure once, before turning it on.
- 1Connect ExaNeural search across the web.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Marketing workflows
Agentic UTM Taxonomy Steward: Detect, Explain, and Propose Fixes
An agent reviews the full backlog of campaign links in Airtable, reasons about taxonomy drift beyond rigid rules, drafts standardized replacements for malformed UTMs.
Slack UTM Check: Paste a Link, Get an Instant Verdict
Lets marketers drop a tracking URL into a Slack channel and get an immediate threaded reply that says whether the UTMs are valid, what is wrong, and a corrected suggestion.
Backlink Outreach Drafter for Verified Mentions
Picks verified, high-authority unlinked mentions from Airtable, drafts a personalized backlink-request email for each.
Source-Authority Verifier for Mention Provenance
Takes a queue of detected brand mentions and runs an agent that verifies whether each source is a legitimate, authoritative publisher versus a scraper or syndication copy.
Unlinked Brand-Mention Detector with Authority Scoring
Scans the web for fresh brand mentions, filters to ones that name you without linking back, scores the publishing domain's authority.
Weekly Brand-Mention Provenance Digest to Notion
Aggregates the week's tracked mentions from Airtable into a single summarized report covering new opportunities, authority distribution, and outreach progress.
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.