Monitor competitor moves. Score industry signals for content relevance. Generate employee-ready posts in every team voice. Route everything through approvals before it goes live.
Bloomberry turns market intelligence into governed employee advocacy content — without a blank page, a manual brief, or a separate tool.
What is Market Intelligence OS? Bloomberry Market Intelligence OS is a continuous monitoring and content generation system for B2B marketing teams. It ingests signals from competitor blogs, industry news sources, monitored URLs, and manual inputs — scores each signal for content relevance against the company's audience and category — and routes high-priority signals through a structured workflow that ends in an approved, scheduled employee post.
The system is purpose-built for employee advocacy: the output is not a report or a dashboard. It is a queue of ready-to-approve posts, written in each team member's individual voice, waiting for a human sign-off before distribution.
Add competitor RSS feeds, monitored competitor pages, industry news sources, and any URL you want to watch. Bloomberry normalizes and deduplicates content as it arrives — so the same story from different sources appears once, not ten times.
An AI evaluator scores every signal against your company context, target audience, and industry. Each signal card shows its urgency rating, durability score, a two-sentence summary, and the editorial angle with the highest content opportunity — so the decision to act is instant.
High-priority signals can be routed to a LinkedIn post, newsletter item, blog brief, or internal note. The generation step produces one distinct draft per employee in scope — each written in that person's voice profile and role context. One signal. Multiple ready-to-review posts.
All drafts enter a marketing review queue. Approve as-is, edit inline, or discard. Approved posts route to the employee for final consent before scheduling. Every decision is logged for audit. Nothing reaches a public feed without a human sign-off.
Bloomberry monitors competitor content, industry news, specific URLs, and accepts manual input — all scored by the same relevance engine before surfacing in the team feed.
RSS feeds from competitor blogs, page watchers for pricing and comparison pages, and sitemap monitors for new content. When a competitor publishes something relevant, Bloomberry surfaces it with a suggested counter-angle — not a reaction, but a strategic take.
RSS feeds from trade publications, analyst blogs, and industry communities. Each article is scored against your audience and category — so only the stories that matter to your ICP surface, not general noise.
Monitored URLs that track pages known to change — conference announcements, industry reports, regulatory updates, and market timing events. Page-change detection flags when a watched source is updated.
Paste any content — a Reddit thread, a customer objection, a LinkedIn post, an internal Slack observation — and run it through the scoring pipeline manually. Useful for one-off signals that do not have a feed.
Signal-to-post is the specific workflow inside Market Intelligence OS where a scored signal becomes a ready-to-approve employee post. When the marketing team confirms a signal is worth acting on, they select a route — LinkedIn post, newsletter item, or blog brief — and Bloomberry generates one distinct draft for each employee in scope, using that employee's voice profile and role context.
The CEO post reflects strategic and category-level framing. The Head of Sales post reflects customer and pipeline perspective. Each draft is distinct — not a variation of a template. All drafts enter a marketing approval queue before routing to the employee.
How signal-to-post works →| Step | Manual workflow | Bloomberry |
|---|---|---|
| Signal detection | Team member reads newsletters, checks competitor sites, monitors Slack alerts manually | Continuous automated monitoring across RSS feeds, competitor pages, and monitored URLs |
| Relevance scoring | Someone decides subjectively what is worth acting on — often based on what they noticed that day | AI evaluator scores every signal on relevance, urgency, durability, and content opportunity before surfacing |
| Editorial angle | Content manager writes a brief explaining the angle, context, and voice for each employee | System suggests the highest-opportunity editorial angle automatically from the signal context |
| Draft creation | Content manager or copywriter writes one draft — then rewrites it per employee manually | One-click generation produces distinct, voice-matched drafts for every employee in scope |
| Approval workflow | Drafts circulate in Google Docs, Slack DMs, or email chains with no audit trail | Structured approval queue with inline editing, decision logging, and employee consent step |
| Learning loop | Edits are lost; next cycle starts from scratch | Every edit improves the voice profile — future drafts require less correction |
React to competitor announcements before the news cycle passes. Route relevant market events to the right employees with pre-drafted responses — without bottlenecking through a content manager for every signal.
Monitor competitor feature releases and category movements in one feed. When a competitor launches something that overlaps your roadmap, have a differentiated employee post ready in minutes — not days.
Track industry publications and analyst commentary. Surface relevant mentions to executives with a pre-written angle ready for approval. Reduce the time from "this story matters" to "our voice is in the conversation."
Monitor signals for multiple clients from one platform. When a client-relevant story breaks, generate posts for the client's leadership team immediately — rather than waiting for the client to brief you.
Market Intelligence OS is designed for multi-person marketing and comms teams. The signal feed is shared across the workspace — so a relevant competitor announcement surfaces once for the entire team, not separately in each person's inbox. One team member scores and routes the signal; another reviews the drafts; a third manages the approval queue.
Brand governance rules apply across all generated content — defining what claims can and cannot appear in any employee post. No rogue claims, no off-brand framing, no posts that contradict each other.
Bloomberry for teams →| Team type | Why it fits |
|---|---|
| B2B SaaS marketing team | Competitive category moves fast. Relevant competitor announcements need a content response before the news cycle closes. |
| Corporate communications | Track industry publications and analyst commentary. Route relevant stories to executives with pre-drafted angles. |
| Product marketing manager | Monitor competitor feature releases and positioning changes. Surface differentiation angles automatically. |
| B2B agency | Manage signal monitoring across multiple clients in one workspace. Generate client-branded posts on breaking relevant news. |
| Founder-led company | No dedicated content team. Market Intelligence OS replaces the manual RSS reading, briefing, and prompting workflow. |
Market Intelligence OS is Bloomberry's system for monitoring competitor activity, industry news, and market events — scoring each signal for content relevance — and turning the highest-priority signals into employee-ready posts in every team member's voice. The full workflow covers detection, scoring, editorial angle suggestion, multi-voice draft generation, and approval routing before any post goes live.
Each ingested signal is scored by an AI evaluator against three dimensions: real-world significance, relevance to the company's customers and audience, and whether there is a proprietary editorial angle available. The scoring model also produces urgency (high / medium / low) and durability ratings. Only signals that pass the relevance threshold are surfaced in the feed with a suggested angle.
Bloomberry supports four signal source types: competitor blog RSS feeds and page watchers (detect when a competitor publishes or updates key pages), industry RSS feeds (track relevant trade publications and news sources), monitored URLs (watch specific pages for content changes), and manual paste (paste any text — a Reddit thread, a LinkedIn post, a customer question — and run it through the scoring pipeline).
After a signal is scored and an editorial angle is confirmed, the generation step produces one distinct post per employee in scope — each written in that person's individual voice profile. The CEO post reflects strategic framing. The sales leader post reflects the customer lens. All drafts enter an approval queue before the employee sees their final version. Nothing is distributed without a human review step.
Generic market intelligence dashboards surface information and stop there — they require a human to read the data, write a brief, prompt an AI, review the output, and distribute manually. Bloomberry completes the entire workflow: detect the signal, score its relevance, suggest the angle, generate posts in every employee voice, route through approvals, and learn from edits. The output is not a report — it is approved, scheduled content.
Bloomberry is not a social listening tool and does not replicate real-time social monitoring features. Its signal layer focuses on content signals: competitor blog and page changes, industry news, and market events that are actionable as employee advocacy content. Teams that need broad social listening (brand mentions, hashtag tracking, comment analysis) should use a dedicated social listening tool alongside Bloomberry.
Bloomberry Market Intelligence OS detects the signals that matter to your team, scores them for relevance, and turns them into approved employee posts — before the moment passes.