A.U.T.H.

The question: are your publications original content, or restatements of what everyone else is already saying?

The mechanism: 360 Brew uses semantic embeddings to measure the distance between your content and the 50,000 closest LinkedIn publications from the last 30 days. If the distance is too low, your content is classified as "restatement" and its initial reach is drastically reduced before it even hits a first real engagement test.

The action: impose a simple rule — every publication must contain at least one element that exists nowhere else: a personal quantified experience, a field observation only you have witnessed, an original synthesis of sources no one has crossed yet, or an explicit position on a polarising topic.

The KPI: initial reach rate (impressions in the first 60 minutes / number of followers). Benchmark: above 3% for 360 Brew-aligned content. Below, authenticity is a problem.

The mistake to avoid: using LLM output directly (ChatGPT, Claude, Gemini) without reworking the form and adding personal content. 360 Brew's embeddings detect LLM generation patterns with accuracy that improves every month. A 100% AI post, however well-written, is now identified and penalised.

The question: after reading your publication, what can the reader concretely do that they could not do before?

The mechanism: 360 Brew gives 5× more weight to saves than to likes since late 2025. The reason: a save is the only signal that demonstrates the content has deferred useful value — the reader will come back to apply it. A like is an affective signal, not a value signal.

The action: every publication must be structured around one applicable action. "Here is how we cut our sales cycle by 30% in 6 months, in 4 precise steps" is useful. "Personal branding is essential in B2B" is not. The first will be saved, the second will float by and be forgotten.

The KPI: saves to impressions ratio. Benchmark: aim for 3% minimum. Accounts above 5% see their reach multiplied by 2 to 3 over the following weeks via algorithmic compounding.

The mistake to avoid: publishing inspirational or motivational content with no applicable action. This kind of content sometimes gets many likes and warm comments but no saves — and 360 Brew will understand it as low-durability content, limiting its redistribution.

The question: does your content get enough engagement in the first 60 to 90 minutes to trigger phase 2 of distribution?

The mechanism: 360 Brew uses a three-phase scoring system. Phase 1 (0-15 min): test distribution to 5-10% of the audience sample. Phase 2 (15-90 min): if the signal is positive, extension to the full follower audience plus expanded audience. Phase 3 (90 min to 5 days): progressive redistribution based on cumulative engagement. If phase 1 fails, phase 2 never happens.

The action: two operational rituals.

1. Publish at your niche's optimal times — not "in general". For a French B2B audience of SME leaders: Tuesday 9-10 am and Wednesday 8-10 am (Metricool 2025).
2. Prepare 3 personal follow-up comments to post yourself in the first 60 minutes to prime the conversation. Not empty "great post" — real clarifications, counter-examples, open questions.

The KPI: cumulative impressions at 90 minutes. Benchmark: at least 10% of your audience reached at 90 minutes to validate phase 1.

The mistake to avoid: scheduling multiple publications in a row on the same day. 360 Brew allocates a 24-hour attention budget per account — two close publications cannibalise each other and halve the reach of each.

The question: do your account's last 30 publications cover a coherent, identifiable thematic universe?

The mechanism: "semantic match" is the central concept of 360 Brew. The system builds a semantic vector for each account from its last 30 publications. That vector determines in which user feeds the account will be recommended. If the vector is coherent (all posts in the same universe), the account is associated with a precise niche and strongly recommended to people interested in it. If the vector is scattered (posts on various topics), the account is associated with no niche and its overall reach collapses.

The action: audit your last 30 publications with a binary question per post: "Does this post clearly belong to my main semantic hub?" If the answer is no for more than 20% of posts, your vector is diluted. Fix it by: either deleting off-topic posts (history loss but alignment gain), or imposing a strict 100% rule for your next 30 posts (no exception).

The KPI: percentage of the last 30 posts belonging to your main thematic hub. Benchmark: minimum 80% (ideally 95%+).

The mistake to avoid: publishing "news hook" posts outside your hub just to ride a wave (e.g., an HR consultant posting about Mistral AI because it is trending). These posts usually get little engagement AND destroy the account's semantic alignment for the following weeks. A single off-hub post can dilute the vector for 10 to 15 days.