The AI SMM Agent does three jobs in one retainer: it repurposes every published article across LinkedIn and X on a 7-day cycle; it reacts daily to industry news on X with an expert POV under your daily approval; and it cross-links both streams so every article gets extra distribution windows beyond its first week. Built on the methodology we use to amplify our own content.
Status: in active development — methodology proven over 15 years of agency work; AI agent build accepting first external cohort.
The AI SMM Agent runs three jobs in one retainer, treating content distribution as an ongoing operations function rather than a one-off campaign.
Job 1 — Article repurposing: the agent works from published articles as input (handoff from your content pipeline). It does not generate posts from scratch. Default coverage: LinkedIn and X. Each article becomes a channel-native pack within 7 days of landing.
Job 2 — Daily news reaction: each morning the agent scans a per-client source list (RSS feeds, a Perplexity-style aggregator) and drafts 1–3 short posts for X with an expert POV. Every post passes a human-approval gate before publishing. Nothing is autonomous.
Job 3 — Cross-distribution: when a news beat intersects with one of your published articles, the agent links the news post back to the article and re-opens its distribution window. Each article gets several waves of attention, not one.
All three included in one retainer. Per-channel performance tracking feeds into the next month's content plan. Primary metric: UTM-attributed clicks per channel.
We turn every published article into a multi-channel pack (LinkedIn and X) within 7 days of it landing. The cadence that SMM managers struggle to sustain at quality across multiple articles becomes the baseline.
We scan your industry sources every morning and draft 1–3 short posts for X with an expert POV; you approve daily before publish. Nothing autonomous. Your channels stay in the live information stream without burning out an SMM manager on daily news-surfing.
When a news beat intersects with your published article, we link the news post back to the article and re-open its distribution window. Each article gets several waves of attention, not one; the bundle is worth more than the sum of the jobs.
LinkedIn hooks and X threads each follow different rules. We adapt voice and structure per channel, never copy-pasted across platforms. Each channel gets a format its audience actually reads.
Complex editorial calls, channel-escalation decisions, and daily news-batch approvals go to an SMM specialist — Ksentra-side by default as part of your retainer. Optionally, we train your own team over time. Nothing disappears silently; every exception gets reviewed before acting.
We scope your channel mix, target audiences, content output rhythm, and news-source list (RSS feeds or a Perplexity-style aggregator covering your industry).
We analyze your existing channel voice samples, set up UTM convention and tracking, and lock the daily news-source list with you. If you don't have channel accounts yet, we set them up together.
The first repurposing pack lands within 7 days of your first article publish under our care. Four channel-native posts, UTM-tagged, scheduled.
One multi-channel pack per published article. Weekly performance tracking with UTM-attributed clicks. Monthly channel-mix review with recommendations for the next content cycle.
Each morning the agent drafts 1–3 short posts from your news sources for X; you approve before publish. When a news beat overlaps a published article, the agent links them. That's Job 3 cross-distribution, built into the daily loop.
Three pillars back this:
Current status: methodology proven over 15 years of content-distribution work; AI agent build accepting first external cohort. See our cases →
Price: from $800/month (three jobs in one retainer)
What you get: ✓ Job 1 — Article repurposing on a 7-day cycle (LinkedIn and X) ✓ Job 2 — Daily news reaction on X with your daily approval gate ✓ Job 3 — Cross-distribution: news posts link back to your articles; articles re-amplified by related news beats ✓ Channel-native adaptation — voice tuned per channel, not copy-pasted ✓ Weekly + daily performance tracking with UTM-attributed clicks ✓ 24/7 operation — no vacation, no sick leave, no burnout ✓ Methodology proven over 15 years of agency work ✓ No payroll taxes, no HR overhead
Different pipeline slots. The AI SEO Agent builds organic reach over months — content production, keyword targeting, internal linking. The AI SMM Agent closes two loops: articles on a 7-day repurposing cycle, and industry news every day on X. Most businesses need both: the SEO Agent fills the pipeline, the SMM Agent amplifies each piece before it fades and keeps your channels active between article publishes. Want both coordinated against shared OKRs? See AI Marketing Team.
At minimum: at least one published article per month (we work from published content, not blanks) and existing channel accounts (LinkedIn page and X account), or a willingness to create them in step ②. For brand voice, we need 3–5 sample posts you consider on-brand; if none exist, we calibrate from your website copy. UTM convention: we set up ours if you don't have one. Setup takes one week.
Within 7 days of the first article landing under our care — so 1–2 weeks from kickoff depending on when your next article publishes. Weekly article cadence starts immediately after. The daily news-reaction loop (Job 2) starts the morning after channel and source calibration completes, usually day 8 of engagement.
Each business day the agent scans the industry sources we agreed on during onboarding — typically 3–5 RSS feeds plus an aggregator like Perplexity — and drafts 1–3 short posts for X with an expert POV. You receive the batch each morning. Only what you approve gets published. Nothing autonomous. This keeps your channels in the live information stream without burning out an SMM manager on daily news-surfing. (Human-in-the-loop by design, applied to news as well as articles.)
The content-distribution work itself is proven over 15 years of Ksentra agency operations. The AI agent layer — operating the full workflow autonomously rather than through a human SMM manager — is in active development. First-cohort clients get direct access to the founder and Ksen (our AI system), full transparency on methodology changes, and input into what gets built first. For Gen 3 context: From Tool to Partner — 5 Generations of AI in Business.
An SMM specialist handles anything the agent flags — posts requiring brand-voice judgment, channel-escalation decisions, community-management situations needing human response, and the daily news-batch approval (a built-in human gate on Job 2). Default is a Ksentra-side specialist included in your retainer. Optionally, we train your own SMM lead over time. Nothing is published or actioned without human review.
Default Tier 1: LinkedIn and X. Instagram and Facebook are possible per case-by-case scope but not standard. Note on the news-reaction loop: Job 2 runs only on X — LinkedIn is the wrong format for short daily news takes, so it stays article-driven (Job 1 only). Account ownership: your channel accounts are yours, we operate them on your behalf, you retain full access and can walk away with the accounts intact. No vendor lock-in.