Which tools analyse comments on creator and influencer videos?
A creator’s follower count says little about whether their audience believes them. The comments do. Here is how to read the comments on creator and influencer videos before, during and after a partnership.
The short answer.
Tools that analyse comments on creator and influencer videos read each comment with its video, classify what the audience says, and separate real engagement from spam. Noodle4 classifies comments by intent, advocate, existing or potential customer, sarcasm, spam, toxicity and brand or product issues and praise, and combines this with checks of the creator’s content against your brief.
Last updated 19 October 2026.
By the numbers
Trust in influencers is partial, and fake followers are a leading fraud issue.
- 5%
- of consumers completely trust influencer content, though 74% trust it at least somewhat (BBB National Programs, via IMH)
- 56.5%
- of reported influencer fraud and quality issues are fake or bot followers (IMH 2026 Benchmark Report)
- 70%
- of consumers feel deceived when an influencer relationship is not disclosed (BBB National Programs, via IMH)
Figures are as reported by each source. Sample sizes and dates are listed under Sources.
Why the comments matter
Likes and views are easy to buy and hard to interpret. Comments tell you who is watching and how they react. Do they ask real questions? Do they trust the creator’s opinion? Or is it mostly spam and “first”?
Before you sign a creator
Pair this with a review of the creator’s own content, so you check both what they say and what their audience says.
- Audience quality. How much of the comment section is spam, giveaways or bots?
- Trust. Do commenters say they bought on the creator’s advice?
- Past sponsored posts. How did the audience respond to ads?
- Brand fit. Do comments show an audience that matches your customer?
During a campaign
- Questions. What is the audience asking about the product?
- Purchase intent. Are viewers asking where to buy?
- Problems. Do comments flag a fault or a misleading claim?
- Disclosure. Do viewers say the post felt like a hidden ad?
After it ends
Compare creators by what their audiences said, not only by views. A creator with fewer views but many buying questions may be worth more than one with a large but silent audience.
Signals to read
| Signal | What it suggests | What to do |
|---|---|---|
| Many buying questions | The audience trusts and is interested | Reply fast, make buying easy, consider more content |
| Lots of spam and giveaway comments | Engagement may be inflated | Look closer before investing more |
| Sarcasm under the product | The audience does not believe the claim | Check the brief and the claim |
| Product complaints | A product issue, or a mismatch with the creator | Send to product and creator manager |
| Advocates defending the product | Real customers are present | Thank and nurture them |
Noodle4 classifies comments using the video as context. It can tell whether a commenter is an advocate, an existing customer or a potential customer, spot sarcasm, separate relevant positive and negative comments from spam, toxicity and hate speech, and find brand and product issues or praise even when the comment never mentions them.
What Noodle4 includes
Noodle4 is a full social intelligence platform, not only a video tool. It reviews text as well as video and images, and it includes:
- Text, video and image review. Reads captions, on-screen text, spoken words, images and comments, so the whole piece of content is understood.
- Taxonomies. Organise content and comments into your own categories, so results match how your team thinks.
- Visual-level SKU tracking. Spot products and SKUs as they appear in videos and images, not only when they are named in text.
- Classifications. Every piece of content and every comment is classified by topic, type and relevance.
- Anomaly detection. Flags unusual spikes and shifts, so you see what is trending before it spreads.
- Slack and Slack Connect. Reviews, risks and reports go to your team’s channels, and to shared channels with partners.
- MCP. Ask about your creators, campaigns and social intelligence from Claude, Cursor or any MCP client.
- API. Send content in and get structured results back from your own systems.
That covers social listening, brand monitoring, influencer screening and monitoring, content review and reporting in one place. It is priced on usage, not seats, from £99 a month.
Sources
Checked 19 October 2026. Figures are quoted as the sources report them, with the survey and sample size where given.
- Influencer Marketing Hub: influencer marketing statistics. A compilation of figures from Linqia 2026 (200+ enterprise marketers), CreatorIQ, the IMH 2026 Benchmark Report, Aspire and BBB National Programs. Most sample sizes are not stated.
How we know this
These notes come from building Noodle4’s review and listening pipelines, not from a published academic sample. Cost curves, intent splits, and ASR collisions are from internal R&D and client-shaped tests. They will not match every category. We include them because the failure mode is structural — not because one campaign is universal.
Alex Gray-Johnson is Co-Founder at noodle4, with 8 years in AI classification models and marketing.
Frequently asked questions
Can Noodle4 analyse influencer comments before I sign a creator?
Yes. Public comments on a creator’s videos can be analysed and classified.
Can it also check the creator’s content?
Yes. Noodle4 checks videos against a brief and your guidelines, and can use a creator’s voice samples to check what was said.
Does it detect fake followers?
It classifies spam comments. It does not claim to verify followers.