Bloomberry is built around eight platform modules: voice profiles, campaign brief intake, signal intelligence, AI content planning, voice-matched generation, review and approval, multi-platform variants, and an analytics loop.
Bloomberry is the employee advocacy platform built for original employee content β not brand resharing. The platform runs eight modules from voice profile intake through campaign generation, review workflows, and multi-platform distribution. It generates original, voice-matched posts for every employee from a single campaign brief or market signal. For a broader software comparison, see the employee advocacy software page.
The ghostwriting bottleneck and blank-page problem. One campaign brief generates original posts for every employee β no manual writing per person.
A brand content distribution tool. Bloomberry is built for original employee voice β campaigns, signals, and voice profiles, not approved brand resharing.
B2B companies where employee thought leadership drives trust, pipeline, and recruiting β and where the volume and authenticity of employee content both matter.
Each module handles a distinct layer of the employee advocacy workflow β from structuring a campaign brief to measuring what published and feeding that data back into voice profiles.
Each employee gets a persistent voice profile built from their writing samples, edits, and approved content. The profile captures their phrasing, depth, and perspective β so every generated post sounds like that specific person, not a generic company account.
The structured layer that converts a marketing team's campaign goals into an actionable content spec. Teams submit the campaign name, target audience, key message, supporting claims, content to exclude, tone direction, and linked reference material. Bloomberry uses this spec to generate original posts for every employee in scope.
Bloomberry continuously monitors four signal sources: company news, industry feeds, competitor activity, and market events. Each signal is scored for relevance against the team's context and paired with a suggested editorial angle β so content generation starts with context, not a blank page.
Before generating any post, Bloomberry plans the content by mapping the campaign brief or signal to each employee's voice profile, role, and audience. The planning layer ensures the CEO post sounds like a CEO, the Head of Sales post reflects customer perspective, and the engineering post carries technical credibility.
Bloomberry generates LinkedIn-ready drafts using each employee's voice profile combined with the campaign plan. Multiple AI models are available. Exact draft mode passes the exact brief content through without AI interpretation when verbatim language is required.
Marketing and comms teams review drafts before publishing. The review flow supports inline edits, approval gates, and comment threads. Employees see exactly what will publish and can decline or request revisions. Nothing goes live without consent from both sides.
Approved content is automatically adapted into platform-specific variants. LinkedIn posts are structured for professional audiences with appropriate formatting. X variants are character-aware rewrites of the same content. Both publish from the same campaign without writing anything twice.
Track which employees are posting, what content is performing, and how advocacy activity relates to reach and engagement. Analytics surface program health β not just volume, but whether the content is getting traction. Edit data feeds back into voice profiles to improve future generations.
The Campaign Brief Intake module converts a single marketing brief into original, voice-matched posts for every executive, leader, and individual contributor in scope. The CEO post reflects executive framing. The Head of Sales post reflects customer perspective. The engineering post carries technical credibility.
All from the same brief. All distinct. All in each person's voice.
When a relevant industry story breaks or a competitor makes an announcement, Bloomberry surfaces it automatically β with a relevance score and a suggested editorial angle. Teams click to generate voice-matched posts for every employee from the signal, without waiting for a brief to be written.
Signal-to-post workflow βEvery campaign brief automatically generates both LinkedIn and X variants for each employee. LinkedIn posts are formatted for professional audiences. X variants are character-aware rewrites. Teams distribute across both platforms from a single campaign run β no duplicate content writing.
Bloomberry is built around eight platform modules: employee voice profiles, campaign brief intake, signal intelligence, AI content planning, voice-matched generation, review and approval, multi-platform variants, and an analytics loop. Each module handles a distinct layer of the advocacy workflow.
Campaign brief intake is the structured layer that converts a marketing team's campaign goals β target audience, key message, supporting claims, exclusions β into an actionable content spec. Bloomberry then uses that spec to generate distinct, voice-matched posts for every employee in the program from a single brief.
Signal intelligence is the monitoring layer that continuously tracks company news, industry developments, competitor announcements, and market events. Each signal is scored for relevance against the team's company context and suggested editorial angle β so content generation always starts with context, not a blank page.
Yes. The multi-platform variants module generates both LinkedIn and X versions from the same campaign brief or signal. Each variant is platform-appropriate β character-aware for X, structured for LinkedIn. Teams distribute across both channels without writing content twice.
Every generated post enters a marketing review queue before being routed to the employee for final approval. Marketing teams can edit inline, leave comments, or approve. Employees then see exactly what will publish and can approve or request revisions. Nothing goes live without consent from both sides.
Book a demo to walk through campaign briefs, signal intelligence, voice profiles, and the review workflow with the Bloomberry team.