Run a Weekly Market Intelligence Cadence With AI Agents
Build a repeatable market intelligence cadence using agentic research sprints, evidence vaults, and executive-ready updates.
MB
Max Beech
Head of Content
TL;DR
- Treat market intelligence cadence work as a weekly operating ritual with defined inputs, outputs, and decision gates.
- Blend AI agents with human review to keep insights timely and defensible.
- Archive decisions in the knowledge brain so future teams inherit the context.
Jump to Why do market intelligence cadences fail? · Jump to What does a high-performing cadence look like? · Jump to How do you keep insights credible? · Jump to Summary and next steps
Run a Weekly Market Intelligence Cadence With AI Agents
When founders rely on ad-hoc alerts, opportunities slip through the cracks. A market intelligence cadence keeps competitive insight flowing into decisions weekly. With Athenic research agents, you can monitor filings, pricing updates, and community chatter, then surface them in the Mission Console for marketing, product, and partnerships teams.
Key takeaways
- Set a clear research backlog tied to revenue or risk.
- Run evidence vaults inside Athenic so every claim has a source.
- Close the loop with live decisions, not decks.
Why do market intelligence cadences fail?
- Unprioritised questions – Teams gather noise instead of focusing on a handful of strategic bets.
- Slow human synthesis – Analysts spend hours compiling slides while news cycles outrun them.
- No decision ritual – Insights die in inboxes because there’s no forum to act.
Mini case: SonarSeed's pivot to partnership revenue
Seed-stage SaaS company SonarSeed tracked when enterprise buyers shifted budgets from inbound tooling to partner ecosystems. By deploying Athenic's competitive intelligence agents, the team spotted a spike in marketplace hires across three rivals. Within one month, they launched a partner-led pricing tier and saw significant growth in demo volume as their positioning aligned with the broader shift toward ecosystem-led growth strategies documented by McKinsey (2024).
What does a high-performing cadence look like?
The cadence runs Monday to Friday with automation doing 80% of collection and tagging. Humans review, contextualise, and decide.
| Day | Ritual | Owner | Output |
|---|---|---|---|
| Monday | Backlog refresh & question prioritisation | Founder + Market Lead | Updated research backlog in Athenic Planning |
| Tuesday | Agent evidence capture | Research Agent + Analyst | Tagged sources in evidence vault |
| Wednesday | Analyst synthesis clinic | Analyst + Domain Expert | Narrative board draft with supporting links |
| Thursday | Decision council | Exec team | Decisions logged in Mission Console |
| Friday | Playback & enablement | GTM Enablement | Loom + doc embedded in knowledge brain |
What inputs feed the cadence?
- Signals – SEC filings, roadmap updates, hiring shifts, price changes. Use sources like SEC EDGAR for public company filings.
- Communities – Discords, Reddit, and domain newsletters relevant to your ICP.
- Product telemetry – Compare trial conversions and support tickets against competitor announcements.
Connect this cadence to your broader growth strategy using /blog/community-led-growth-first-100 for community insights and /blog/organic-growth-okrs-ai-sprints for OKR alignment.
How do agents automate evidence capture?
- Configure watchlists for critical keywords across filings and product changelogs using Athenic Research.
- Route long-form transcripts into the knowledge brain for entity tagging and summary cards.
- Assign Approvals to legal or security reviewers when sensitive intelligence surfaces.
How do you keep insights credible?
- Source tagging – Every finding must link to an original source. The UK Competition and Markets Authority's AI Foundation Models update (2024) emphasises traceability and provenance to ensure reliable outputs.
- Expert review – Route sensitive conclusions to subject-matter experts using Approvals.
- Immutable vaults – Lock evidence snapshots so investors or regulators can audit later, aligned with the audit trail requirements in ISO/IEC 42001:2023 AI Management System.
Call-to-action (Activation stage)
Spin up a market intelligence cadence template inside Athenic to keep founders and GTM leaders aligned on the week’s top questions.
FAQs
How many people do you need to run a market intelligence cadence?
A three-person pod works: one founder or GTM leader to prioritise questions, one analyst to review agent output, and one enablement lead to package insights.
How do you prevent duplicate research?
Use tags and status fields in the evidence vault. Athenic highlights overlapping sources automatically so analysts can merge narratives instead of reworking them.
What benchmarks prove the cadence is working?
Aim for <24 hour lag between a signal landing in your watchlists and a decision being logged. Track contribution of intelligence-led decisions to pipeline, churn saves, or product roadmap changes.
How often should you retire questions?
Review the backlog monthly. Remove resolved questions and add new ones tied to evolving bets, especially if you are planning a launch, funding round, or price change.
Summary and next steps
- Align leadership on the few strategic questions that matter each week.
- Automate signal capture with AI agents but keep humans in the loop for synthesis.
- Log decisions and distribute playbooks so the market intelligence cadence compounds over time.
Next steps
- Import your top market questions into Athenic Planning.
- Deploy a research agent to monitor competitor releases and pricing updates.
- Schedule a weekly decision council to action the insights.
Expert review: [PLACEHOLDER], Director of Market Strategy – pending.
Last fact-check: 9 September 2025.