Turn company, industry, competitor, and market signals into authentic, approved posts across founders, executives, and employees — without starting from a blank page.
What is signal-to-post? Signal-to-post is a workflow where company news, industry developments, competitor announcements, and market events are detected automatically, scored for relevance, and converted into employee advocacy posts in each stakeholder's voice. Bloomberry handles monitoring, angle suggestion, multi-voice generation, and approval routing — so teams never start from a blank page.
Most employee advocacy workflows start with a content brief or a prompt: "Write a LinkedIn post about our product launch." That brief has to come from somewhere — a marketing manager, a content strategist, someone watching the news. That someone is a bottleneck.
Signal-to-post removes the blank page by making the signals themselves the starting point. When a relevant industry story breaks, a competitor makes an announcement, or a company milestone happens, Bloomberry surfaces it automatically with a scored relevance rating and a suggested editorial angle. The content workflow starts with context — not with a cursor blinking on an empty document.
Bloomberry continuously monitors four signal sources: company news, industry feeds, competitor activity, and market events. Each source feeds into the signals dashboard, organized into filters — All, Company, Industry, Competitor — so users can narrow focus by source type.
Each signal receives a relevance score based on how closely it matches the user's company context, industry, and target audience. The signal card shows the source domain, a suggested editorial angle, and the full signal summary — giving users the context to decide before generating.
Clicking "Generate post from this signal" creates voice-matched drafts for each employee in the program. The CEO post reflects executive framing. The Head of Sales post reflects customer perspective. Each is distinct — same signal, different angle per voice.
Generated posts enter the approval queue before scheduling. Marketing teams review, make any necessary edits, and approve. Posts that contain unsupported claims or off-brand language are caught at this stage — not after publication.
When employees or marketing teams edit a generated post, Bloomberry captures those edits as voice data. The voice profile improves over time, meaning each subsequent generation better matches how that person actually writes.
Every signal across all sources, sorted by relevance score and recency.
News, milestones, and content specific to your company — launches, wins, hires, announcements.
Relevant industry news and trend signals scored against your audience and category.
Competitor announcements that are relevant to your positioning and audience — surfaced as strategic content angles.
Signal-to-post is a workflow where content signals — company news, industry developments, competitor announcements, and market events — are detected automatically, scored for relevance, and converted into employee advocacy posts in each stakeholder's voice. The workflow ends with an approval step before any post goes live.
Yes. Bloomberry monitors industry feeds and company-specific news, scores each signal for relevance, and suggests an editorial angle. From that angle, it generates LinkedIn-ready posts in each employee's voice — so a relevant industry story becomes approved, voice-matched content within minutes.
Bloomberry scores each signal against the user's company context, industry, and audience. Each signal card shows a relevance score, a source domain badge, and a suggested angle — so users can see why a signal was surfaced before deciding to generate content from it.
Yes. Every post generated from a signal moves into an approval queue before it is scheduled or published. Marketing teams review, edit if needed, and approve — giving the company full governance over employee-distributed content without slowing down the workflow.
A generic AI prompt requires someone to identify the relevant story, frame the angle, write the prompt, specify the voice, and then check the output manually. Signal-to-post does all of that automatically — monitoring, relevance scoring, angle suggestion, multi-voice generation, and approval routing — without a blank page or a manual prompt every time.
Yes. Agencies use signal-to-post to proactively surface relevant content opportunities for clients without waiting for a brief. When a competitor launches something or an industry event happens, Bloomberry can generate posts for the client's executives and employees immediately.
Yes. Bloomberry monitors competitor activity as a signal source. When a competitor makes an announcement relevant to your audience, Bloomberry surfaces it as a content opportunity with a suggested editorial angle — positioning your employees as authorities in the same space.
Bloomberry turns relevant signals into approved employee posts — so content starts with context, not a cursor.