Original research across 10,000 Kompozy outputs. Platform-by-platform engagement, format-by-format CTR, autopilot vs manual review quality.
Every "AI content works" post online cites no data. Every "AI content is slop" post cites no data either. This post cites data from 10,000 Kompozy outputs across 500 opted-in workspaces, anonymized, to give you actual numbers — and, just as important, the mechanism behind each number so you can apply it rather than memorize it.
One framing note before the tables. These are first-party numbers from one platform’s users, over one 10-week window, on the formats Kompozy generates. They are directionally useful and internally consistent, but they are not a universal law of social media. Where they line up with public industry data — and they mostly do — we say so below. Where your own audience disagrees with them, trust your audience.
Engagement rate per platform (likes plus comments plus shares divided by impressions). Click-through rate on paid-adjacent formats (POV Hook to Demo). Autopilot approval rate (the percent of outputs shipped untouched after the Persona Brief ramp). Output quality self-report (Pipeline Queue thumbs-up rate). Every figure is a median across the cohort, not a cherry-picked top performer.
TikTok: 3.8% average engagement on clipped shorts, 2.1% on avatar shorts, 1.4% on template shorts. Clipped wins because TikTok rewards authentic source material — the platform’s audience is the most sensitive to anything that reads as manufactured, so a real moment cut from your own footage outruns a synthetic one.
Instagram Reels: 2.4% engagement on clipped, 3.1% on avatar, 4.8% on before-after split. Before-after wins because the algorithm privileges transformation narratives — a visible change of state earns the rewatch and the save that Instagram weights heavily.
LinkedIn: 4.1% engagement on long-form posts, 2.9% on single-image posts, 5.3% on carousels. Carousels dominate because they earn dwell time no other format matches — each swipe is a small engagement signal, and the document format keeps a reader in-feed instead of bouncing.
X: 1.8% engagement on standalone posts, 3.2% on threads of 4-6 posts, 2.1% on threads of 8+ posts. The 4-6 post thread is the sweet spot: long enough to develop an idea, short enough that readers finish it. Past eight posts, completion drops and the later posts drag the average down.
YouTube Shorts: 2.6% engagement on clipped from the creator’s own long-form, 1.3% on clipped from external sources. YouTube rewards the clip-to-long-form back-link signal — a Short that points at your own catalog compounds, one lifted from someone else does not.
Three caveats keep you from misusing the table above. First, sample: this is one platform’s opted-in users, not the whole internet, so the absolute levels reflect this cohort’s niches and audience sizes. Second, recency decay — algorithm changes make any engagement benchmark unreliable past roughly 90 days, which is why we re-run this quarterly. Third, denominator: engagement rate can be computed against impressions, reach, or followers, and each yields a different headline number. Ours is over impressions. When you compare against any other report, check its denominator before you conclude you are over- or under-performing.
The reassuring part is that our internal data lands in the same neighborhood as independent industry reports. Published 2025-2026 benchmarks (Socialinsider, Hootsuite, Rival IQ) put average TikTok engagement in the mid-single digits — Socialinsider measured about 3.7% and rising, driven by shares and DM sends rather than public comments — which brackets our 3.8% clipped-shorts figure. LinkedIn sits around 2-4% in Hootsuite’s data, with carousels (document posts) reported as the single highest-engaging format on the platform by a wide margin — exactly the pattern we see, where carousels top every other LinkedIn format we generate.
Instagram is where methodologies diverge most: some reports put average Instagram engagement well below 1% because they measure against follower count or reach on a stricter formula, while our impressions-based, format-segmented numbers run higher. This is not a contradiction — it is a denominator difference. The durable, cross-source signal is directional, not absolute: TikTok rewards authentic clips, LinkedIn rewards carousels, and format-fit beats raw volume everywhere. Do not copy one number from one report and turn it into a universal target.
Clipped shorts win when the source is genuinely your own long-form. They underperform when used to re-clip competitor content — platforms detect the reused source and down-rank it. See the mechanics of doing this well in the guide on turning long-form into clips.
Avatar shorts underperform clipped on TikTok but match clipped on Instagram Reels and outperform on LinkedIn video — the more professional the room, the more an avatar reads as production value rather than a shortcut.
Template shorts (HyperFrames) underperform clipped and avatar on average but win when paid-boosted — the POV Hook to Demo template delivers 3.1% CTR on paid cold traffic versus 0.9% on prior static creatives. The lesson: organic-best and paid-best formats are not the same format, which is why A/B testing your creatives matters before you put spend behind one.
Carousels outperform single images on both Instagram and LinkedIn by 2-3x. If you make one image-format bet, make it the carousel.
Days 1-7 (pre-Persona-Brief-tight): 54% of outputs shipped untouched, 46% edited. Days 7-14 (brief iterated from edits): 78% shipped untouched. Day 14+ (brief stable): 91% shipped untouched. The number that matters is 91% — that is the point at which autopilot becomes safe to enable on stable sources. The Persona Brief is the lever here: every edit a reviewer makes in the first two weeks is training data that tightens the brief, and the approval rate is really a measure of how well the brief has captured your voice.
Practically, this means the ramp is not optional and it is not instant. Treat the first fortnight of any new source as supervised, use the review gate to feed corrections back into the brief, and only graduate a source to hands-off publishing once you are approving roughly nine of ten outputs without touching them. This is the same discipline covered in what an automated social content engine actually is — governance before volume.
Posting the same output to every platform unchanged. Engagement drops 40-60% when you skip platform-specific formatting — the single most expensive mistake in the dataset, and the easiest to fix. The fix is native reformatting per destination, not one caption sprayed everywhere; see how to cross-post to all platforms.
Running autopilot before the Persona Brief stabilizes. Autopilot-shipped posts with a loose brief earn 0.6x the engagement of manually-reviewed posts — worse than posting less often.
Cross-posting clipped shorts from external sources (competitor podcasts, for example). Platforms detect and down-rank the reused source material.
LinkedIn is more AI-tolerant than X. The LinkedIn audience largely skips the "is this AI written" check; X users call it out fast, which is why X is the one platform where our AI-assisted content trails manual writing. Carousels beat video on LinkedIn — counterintuitive, but consistent across the dataset. And avatar shorts underperform on TikTok yet dominate on LinkedIn video. The through-line: audience vigilance against AI varies enormously by platform, and it is the biggest hidden variable in whether AI-assisted content wins. The tactics for staying on the right side of that line are in how to make AI content not look like AI.
Turn the findings into a routine. Route each platform to its winning format: your own clips to TikTok and YouTube Shorts, before-after and avatar to Instagram Reels, carousels and long-form to LinkedIn, 4-6 post threads to X. Reformat natively for every destination instead of mirroring one post. Keep new sources under manual review until the brief stabilizes near a 90% approval rate, then enable autopilot with a per-post gate still watching. And if your engagement moves but conversions do not, the problem is usually downstream of the post — the diagnosis is in your metrics, not the content.
Data pulled from 500 opted-in Kompozy workspaces across 10,142 outputs published between February 1 and April 15, 2026. Engagement rates normalize for audience size and are computed over impressions. Outliers (the top 2% of accounts with 10x-plus follower counts) are excluded to prevent skew. Figures are medians across the cohort, refreshed quarterly because platform algorithms shift the baseline faster than an annual cadence can track.
Yes, anonymized across opted-in Kompozy workspaces. Individual account data stays private.
Quarterly. Algorithm changes make older data unreliable past about 90 days.
The summary tables here are the public version. Enterprise accounts can request the anonymized raw data under DPA.
They sit in the same range as published 2025-2026 industry data. Socialinsider put average TikTok engagement near 3.7% and LinkedIn carousels far above every other format; Hootsuite reports LinkedIn at roughly 2-4% and Instagram engagement well under 1% on its stricter formula. Because every provider uses a different denominator and post mix, treat any single figure as directional, not a fixed target.
Native per-platform formatting. In our data, posting the same output to every platform unchanged drops engagement 40-60%. The second-biggest lever is not shipping autopilot content until the Persona Brief has stabilized — loose-brief autopilot posts earn about 0.6x the engagement of reviewed ones.
Across 10,000+ Kompozy outputs from 500 opted-in workspaces, AI-assisted content performs when three conditions hold: the Persona Brief is tight, every post is native-formatted per platform, and autopilot only runs after the brief stabilizes (around 14 days, when 90%+ of outputs ship untouched). Under those conditions, engagement matches or beats manually-written content on every platform we measured except X, where audience vigilance against AI is highest.
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