Compare a content distribution model with a voice-first approach built for AI visibility work.
Ghostart is a sister company to Togethr. Together we've helped launch employee advocacy programmes for some of the UK's best-known brands:










Logos reference Togethr Linkedin training clients or clients who used Togethr's prior advocacy platform, Togethr app.
We saw what worked. We saw what didn't. We saw employees struggle to sound authentic while sharing corporate content. Content written for everyone sounds like no one, and it rarely gives a reader, or an AI answer, anything specific to repeat.
So we retired our legacy platform and built Ghostart from scratch.
Your SEO tool has an AI-visibility tab? What it covers, and what Ghostart adds
We compare on approach and capabilities — not pricing.
This is a feature comparison — not a pricing comparison.
| Feature | DSMN8 | Ghostart |
|---|---|---|
| Primary Focus | Distributing company content | GEO & Individual authority |
| Content Goal | Reach & Amplification | AI Citation & Trust |
| Voice Discovery | Personal Voice AI from writing samples, with delegate use | Guided voice exercises plus your own writing |
| Writing diagnostics | Not shown on public pages | Beige-ometer highlights generic phrasing |
| AI-visibility measurement | Not offered | AI answer checks across the surfaces in your plan (up to six) |
| AI writing | AI captions and Personal Voice AI | Drafts from each person's voice and the company's buyer questions |
Compared against DSMN8’s own published material on 5 September 2026 — source. Features they have not published are not listed here.
DSMN8 is a UK-based employee advocacy platform focused on helping enterprise marketing teams distribute branded content through employee social networks.
It centres around a curated content library and gamification to drive participation and sharing behaviour.
Large organisations distributing approved company content at scale, where leaderboards, recognition, delegated posting for senior leaders and enterprise reporting through Slack, Salesforce and Teams matter more than each person's own voice.
DSMN8 is a UK-based employee advocacy platform focused on helping enterprise marketing teams distribute branded content through employee social networks. It uses gamification and content libraries to drive employee participation.
Yes. While DSMN8 focuses on distributing marketing-created content, Ghostart takes a fundamentally different approach — helping employees develop their authentic professional voice and create original content. Ghostart is suited for organisations that want employees to sound like themselves.
DSMN8 starts with content created by marketing and provides multiple caption variations for employees to choose from. Ghostart starts with guided voice discovery exercises for each employee, then generates completely original content based on their individual insights, expertise, and communication style.
Ghostart was built by the team who launched employee advocacy programmes for John Lewis & Partners, the Post Office and BT. We built an AI visibility platform around the questions buyers ask AI: strategy, content in each person's voice, publishing, and checks of what AI answers say. DSMN8 does distribution and programme operations well; the two jobs overlap but are not the same.
Teams who want authentic content that sounds like the person posting it, not corporate press releases with minor variations. Organisations that see LinkedIn presence as professional development, not just content distribution.
Start your free trial and see how Ghostart's approach compares with traditional content distribution.
A good result on one AI tool can hide a gap on another. Tell Ghostart which tools matter to your business. Your visibility stays as measured; a separate view shows your priorities, dated buyer research where it applies, and gaps that need more evidence.
Research is incomplete. Ghostart shows unknown significance when it has no matched evidence, and keeps Gemini, Google AI Mode and AI Overviews separate. These estimates do not predict sales or guarantee recommendations.
Compare how each product separates measured results from estimates and explains its priorities. Ask to see the evidence and a recommendation for your own market.
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