← UpdatesJune 13, 2026
Feature

Introducing Bloomberry Market Intelligence OS

Track competitor moves, score market signals, and generate employee posts in every team voice — without a separate tool, a manual brief, or a blank page.

By Bloomberry Team

Why we built it

The standard employee advocacy workflow has a bottleneck nobody talks about: someone has to notice the story first.

A competitor publishes something. An analyst releases a report. An industry event shifts the conversation. Before a single post gets written, a marketing manager has to read the right newsletter, notice the signal, judge its relevance, write a brief, prompt an AI, review the output, and route it through approvals. That entire chain depends on one person being in the right place at the right time.

Most teams miss most of the signals. The ones they catch arrive too late.

Market Intelligence OS removes that bottleneck. The system monitors the signals your team cares about — continuously, across multiple source types — and surfaces the ones worth acting on before the moment passes.


What shipped

Signal collection and normalization

Bloomberry now connects to four signal source types: competitor blog RSS feeds, competitor page watchers, industry RSS sources, and individual monitored URLs. A collector worker runs continuously, normalizes incoming content, deduplicates by content hash, and writes each new signal to a shared team feed.

Manual paste is also supported. Paste any content — a Reddit thread, a LinkedIn post, a customer objection, a Slack observation — and run it through the scoring pipeline without a feed.

AI scoring and angle suggestion

Every signal is evaluated by an AI scoring model that assesses three dimensions: real-world significance, relevance to the company's customers and audience, and whether there is a proprietary editorial angle available.

The scoring output includes:

Strategic routing

After scoring, the AI planner recommends a content route — LinkedIn post, newsletter item, blog brief, or internal note — based on the signal's urgency, topic category, and the team's existing content coverage. The team can confirm the recommended route or override it.

Multi-voice draft generation

Clicking generate produces one distinct draft per employee in scope. Each draft is written using that person's individual voice profile and role context. The CEO draft reflects strategic framing. The Head of Sales draft reflects customer and pipeline perspective. Every draft is original — not a template variation.

Shared team approval queue

All generated drafts enter a team review queue. Marketing reviews inline, approves or edits, and routes approved drafts to the employee for final consent. Nothing is distributed without a human sign-off at every step. Every decision is logged for audit.


What teams can do with it now


How it connects to Advocacy Campaigns

Advocacy Campaigns are proactive: a marketing team writes a structured brief — campaign name, key message, approved claims, tone — and Bloomberry generates posts for every employee in scope from that brief.

Market Intelligence OS is reactive: Bloomberry monitors external signals, scores them, and surfaces content opportunities your team did not have to ask for.

Both workflows produce voice-matched, approval-routed employee posts. The difference is whether content starts from an internal brief or an external signal.

They are designed to work together. A high-urgency competitor signal surfaces in the intelligence feed. The team reviews the angle. If it warrants a full campaign — not just a reactive post — they promote it to a Campaign brief from within the same workflow.


What makes it different from a generic market intelligence dashboard

Generic market intelligence dashboards surface information and stop there. They produce reports, charts, and alerts. Acting on the information — writing the brief, prompting an AI, generating per-employee posts, routing approvals — is left entirely to the team.

Bloomberry completes the workflow. Detection, scoring, angle suggestion, multi-voice generation, approval routing, and voice profile learning all happen inside one system. The output is not a report. It is a queue of approved, scheduled content.

The distinction matters for teams that are trying to move from signal to published post without adding headcount.


What's next

The current release covers manual source configuration, continuous automated collection, AI scoring and routing, multi-voice draft generation, and team approval workflows.

Upcoming work includes richer competitor page monitoring (track pricing page changes, comparison page updates, and new product announcements), automated source discovery (Bloomberry suggests relevant sources based on the team's existing signal feed), and signal-to-campaign promotion (one click to escalate a high-priority signal into a full Advocacy Campaign brief).


See Market Intelligence OS → · Signal-to-Post workflow →

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