Platform · Capability deep-dive

The team works while you sleep.

Daily briefings, weekly reports, overnight monitoring, or "when X happens, do Y." You read the result when you wake up.

Build schedules in plain EnglishAlways-on, scheduled, or on-eventMulti-agent chains, not single firesEvery run logged with full output
Three ways to fire

Schedules, or signals

Three modes cover every cadence a real workflow needs. You pick when to combine them.

Mode 01

Always-on monitoring

runs continuously

The agent watches a feed, source or system without stopping. Internal events trigger work the moment something changes.

  • Market Expert watches 38 sources for AI-search changes
  • Data Analyst watches your prompt panel for anomalies
  • KG Agent polls Wikipedia / Wikidata for your entity
Mode 02

Scheduled (cron)

Mon 08:00 · daily 07:00 · every 15 min

Standard cron expressions, plain-English builder, calendar UI. Daily, weekly, monthly, or every 15 minutes — whatever cadence the work needs.

  • Weekly briefings & reports
  • Daily monitoring digests
  • Monthly board packs & reviews
Mode 03

On-event triggers

when condition met

A condition fires the agent. Visibility drops, a competitor moves, an integration breaks, a deal hits a milestone — the work starts itself.

  • SOV drop > 5pts → draft response
  • Competitor new entrant → alert + plan
  • Schema validation fails → auto-fix PR
Five live recipes

What you'd actually schedule

Real, multi-agent workflows already running on customer accounts. Schedule, chain, artifact — not a single agent fire.

CronMon 08:00 CET

Weekly market briefing

Every Monday morning, your inbox has the AI-search field summarised — what changed, what to do.

Scheduled
Agent chain
  1. 1Market Expert ingests the week's 38+ sources
  2. 2GEO Strategist turns shifts into recommendations
  3. 3Reporting Agent writes the 2-page briefing in your tone
  4. 4Main Agent emails you + posts to Slack
What lands in your inbox
Weekly market briefing — Week 21
3 things that moved · for leadership
Model updateGemini reframed "best X" format
Vendor moveCompetitor launched comparison hub
RecommendationPrioritise 4 comparison pages
Expected lift+6–9 SOV pts in 30d
Delivered toYou · via email + Slack
CronDaily 07:00

Daily visibility readout to Slack

Every morning before standup, your team has a live AI share-of-voice snapshot across every engine.

Scheduled
Agent chain
  1. 1Prompt Specialist probes your panel across all engines
  2. 2Data Analyst models SOV, sentiment, citation delta
  3. 3Reporting Agent formats a Slack-friendly digest
  4. 4Slack channel — #geo-daily — posts the result
What lands in your inbox
Visibility — daily 07:00
Posted to #geo-daily
AI SOV38.4% +0.6 vs yesterday
SentimentMostly positive · stable
Notable moveNew citation on Perplexity (G2)
Notable drop-2pts on one comparison prompt (Gemini)
Delivered to#geo-daily · 14 viewers today
TriggerSOV drop > 5pts

Competitor move → auto-response plan

When your share of voice drops materially overnight, the workforce drafts the response before you're at your desk.

On-event
Agent chain
  1. 1Data Analyst detects the drop, runs forensics
  2. 2Competitor Analyst identifies the cause
  3. 3GEO Strategist drafts the counter-plan
  4. 4Content team queues briefs for your sign-off
What lands in your inbox
Alert: SOV drop 7pts (Gemini comparison)
Fired 03:18 · plan ready by 08:12
What7pt drop on 4 mid-funnel prompts
WhyCompetitor seeded 3 fresh reviews
Counter-content4 briefs auto-drafted, queued
Off-site movesOutreach plan queued
Expected recovery5–7pts in 21 days if shipped
Always-onEvery 15 min

Wikipedia & Wikidata entity watch

Continuous poll of the structured-source entries about your company — AI quotes them, so they matter.

Always-on
Agent chain
  1. 1Knowledge Graph Agent polls Wikipedia, Wikidata, G2 every 15 min
  2. 2Compares against last-known-good state
  3. 3If diff : drafts correction with citations
  4. 4Improvement Lead queues for human submission
What lands in your inbox
Entity diff — Wikipedia
Detected 09:42 · correction queued
ChangeFounding date edited to 2017 (was 2015)
Edit sourceAnonymous IP, no citation
RiskAI may quote wrong date within 48h
Action queuedRevert request with original citation
OwnerYou (final submit) · draft ready
Cron1st of month

Monthly board pack

First Monday of every month, your board doc is ready: AI search numbers, what shipped, what's next.

Scheduled
Agent chain
  1. 1Data Analyst assembles month's visibility + revenue numbers
  2. 2Strategy Lead writes the narrative (wins, losses, plan)
  3. 3Reporting Agent formats to your board template
  4. 4Main Agent delivers to your inbox by 09:00
What lands in your inbox
Board pack — April
Delivered 1st · 09:00 · one PDF
AI SOVtrending up MoM
AI-attributed pipelinemeasured against your CRM
Position in category#2 of 12 (was #3)
Workforce shipped14 content, 38 PRs, 6 replies
Next month focusMid-funnel comparison on Gemini
The scheduler

Calendar, cron, or chat

Build a schedule three ways. A real calendar view of every fire across the workforce, side by side. Cron expressions in plain English. Or just describe it in chat.

Calendar

See every fire, side by side

A week-and-month view of the whole workforce's schedule, colour-coded per agent — briefings, readouts, event triggers and report drafts on one grid.

Cron

Standard expressions, plain English

Daily, weekly, monthly, or every 15 minutes. Write real cron, or describe the cadence and let the builder translate it.

0 8 * * 1Weekly market briefing
0 7 * * *Daily visibility readout
0 9 1 * *Monthly board pack
Chat

Just describe it

Say what you want in chat. The schedule, the agent chain and the payload get generated for you — with the cron, the autonomy mode and options to refine.

"Every weekday morning, have my sales agent draft 3 cold-email leads from new HubSpot signups."

Observability

Every fire, logged

Every scheduled run gets a row: when, which agent, status, output snippet, duration. Click any row for the full transcript.

WhenSchedule / agentStatusOutput snippetDuration
Mon 08:00Weekly market briefingSuccess3 shifts summarised, briefing delivered2m 14s
Daily 07:00Visibility readout → #geo-dailySuccessSOV 38.4%, posted to Slack1m 02s
Tue 03:18SOV-drop response (event)Auto-fix4 briefs drafted, queued for sign-off4m 41s
Wed 09:42KG entity watch (always-on)No diffNo change since last-known-good0m 08s
Wed 11:05HubSpot schema renameAuto-fixConnector remapped, health restored0m 37s
Fri 16:30Report draft → reviewErrorSource timeout, retried and recovered3m 20s
Your AI workforce for AI search

See a real schedule firing on your business

30-minute working session. By the end you'll see one schedule, on your data, with the chain you'd run and the artifact you'd receive.

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See the workforce run on your brand

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