Kling
Kling is an AI video generation tool developed by Kuaishou for creators producing short and long-form video content.
About this data
Updated June 8, 2026
Overall Pulse Score
-15 over this period
A 0-100 index summarizing the tone of 32 relevant public mentions gathered from public online communities across 8 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Weekly Sentiment Trend
Pulse Score by week over the selected period. Each point is one complete week of mentions.
This week in public discussion
Recent discussion around Kling appeared mostly in the context of multi-tool AI video comparisons, with commenters weighing it against competitors like Seedance and Google Omni. Sentiment was mixed but not strongly negative toward Kling specifically, with at least one commenter noting they rely on it for motion control tasks. Discussion focused more on rival tools than on Kling itself, making it difficult to gauge strong community feeling, though the overall tone across the comparison threads leaned skeptical about the AI video category broadly.
AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.
Sentiment mix by week
How the tone of public discussion splits each week.
Most-discussed praise
Most-discussed complaints
Themes across the selected period, with mention counts.
Sample public mentions
Showing 5 of 32 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.
“Re: "Seedance 2.0 vs Kling 3.0 - Which is the BEST AI Video Generator". The worst feeling is when you blow a bunch of tokens on a Seedance prompt, and it fails because you didn't prompt it well enough.”
“Re: "Google Omni vs Seedance 2.0 vs Kling 3.0 | Full Comparison". Dear Tao, I'm writing to you from Türkiye. As a cinematographer, I'm celebrating my 40th year in the profession. When I started, we were using 35mm and 16mm film. Then came the digital revolution, and we switched t...”
“Re: "Google Omni vs Seedance 2.0 vs Kling 3.0 | Full Comparison". I use Veo, Groc mostly and Kling for motion control. Seedance is OVER PRICED forget that one”
“Re: "Google Omni vs Seedance 2.0 vs Kling 3.0 | Full Comparison". A ver seedance respeta mucho la consistencia, pero es muy caro. Y Google omni es algo barato y te hace buenos vídeos, no te respeta a veces y te cambia el personaje o la escena pero poco a poco puedes hacerlo, pero...”
“Re: "Kling AI’s Biggest Upgrade Yet". Very helpfuel specially the part 2:05 - 2:37 about start frames. I learned so Much from this video please keep making the good content”
28+ more analyzed mentions, full history, and theme breakdowns are part of Pro.
Get ProDeeper analysis
- Competitor comparison dominated the conversation, with nearly all mentions emerging from a single multi-tool head-to-head discussion thread.
- Sentiment followed a volatile path over the window, dropping sharply in late April and May before recovering strongly in the most recent data points.
- Opinion was divided on AI output quality and value, with those themes appearing on both the praise and complaint sides of the discussion.
- Very low mention volume means the overall picture is based on thin data and should be interpreted with caution.
| Praise theme | Mentions |
|---|---|
| Strong features | 20 |
| AI quality | 14 |
| New releases | 7 |
| Easy to use | 5 |
| Feature requests | 3 |
| Complaint theme | Mentions |
|---|---|
| Pricing too high | 2 |
| Bugs | 2 |
| AI quality | 2 |
| Compared to rivals | 1 |
| Missing features | 1 |
Discussion around Kling over the past four weeks was sparse in volume, with only a handful of mentions captured, but the conversations that did surface were notably context-heavy. Nearly all sampled mentions originated from a single comparative video thread pitting Kling against rival AI video tools, which means the tone of discussion was shaped almost entirely by how commenters perceived Kling relative to its competitors rather than by direct user experience with the product itself. This framing gave the overall sentiment a somewhat indirect quality, where Kling was referenced as a benchmark or a niche use case rather than the clear focus of enthusiasm or criticism.
The score trajectory over the window tells a turbulent story. After a strong start in late March and a brief peak in early April, sentiment dropped sharply through late April and into mid-May, reaching notably low points on consecutive tracked dates. A recovery appeared to take hold by early June, with the most recent data point climbing back to a high level, though that reading came from a single mention, which limits how much weight it can carry. The overall current score sits modestly above where it stood four weeks ago, suggesting a slight net positive drift despite the volatile middle period.
Within the competitive comparison thread, Kling received mixed treatment. Several commenters positioned it as a secondary or specialized choice, with at least one mention highlighting motion control as a specific strength. Pricing sentiment was divided, with some commenters directing pricing frustration at rival products rather than Kling directly. AI quality assessments were similarly split, appearing in both praise and complaint themes, suggesting no consensus on how Kling's output stacks up.
The low total mention count means any read of this window carries meaningful uncertainty. Opinion was most openly divided around value and AI output quality, while the competitive comparison context may have diluted how much of the sentiment genuinely reflects sustained community views about Kling on its own terms.
AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.
Member perspectives
Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.
Overall Pulse Score
-15 over this period
A 0-100 index summarizing the tone of 32 relevant public mentions gathered from public online communities across 8 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Data summary
Compare with another tool
Kling
60
Linear
83
Score-level preview from live weekly tracking.
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