AI-assisted video ad review
AI analyses spoken and on-screen claims to produce clear edit notes, evidence requests and cited rules. For Indian brand and agency teams working in Hindi, Hinglish and English.
Early pilot service · Scope, fee and review window agreed before work starts.
“Lasts twice as long.”
A comparison in the example video.
Twice as long as what?
Brand team: provide the comparator, test method and results.
Make the comparison specific.
Creative team: name the comparator and conditions the evidence supports.
How a claim becomes a next step.
An independent sample from a public Traya ad. See what was observed, what needs checking, and which records would settle the question. AI-assisted analysis with editorial corrections; not commissioned or endorsed by Traya.
A 20-second public ad. Brand evidence, publishing context and final sign-off remain outside this sample.
“93%” · “SUCCESS” · “RATE”
The ad also shows a note referring to an internal study. The study itself was not supplied to this review.
Next step: Check what counted as success, the study population and the measurement period. Match the claim to what those records support.
ASCI Code 1.1 · Factual claims should be capable of substantiation.
“Over 2 Lakh+” · “happy customers”
This wording appears on screen. It is not established by the spoken transcript alone.
Next step: Check unique-customer records and the basis for “happy”. An evidence request is not a finding that the brand has no evidence.
ASCI Code 1.1 · Sample times are observations, not exact visibility boundaries.
One cut, a clear review scope, and a check of the revision. Delivery works through the files and email your team already uses.
Send the video, target market, product, publishing account and placement. Include existing claim records and the intended release version.
AI analyses spoken claims, sampled frames and readable on-screen text together. Evidence checks flag unsupported quotes; unclear words and missing context stay open for review.
The pilot includes human review before delivery. Separate creative changes from records your brand team needs to supply, with source references and verification limits.
Return the revision with the same product and claim context. Track what changed and what remains open; a disappeared finding is not proof of a fix.
Stored policy extracts retain their source URLs and provenance. The report states the assessed scope and flags sources whose official comparison remains outstanding.
Audio quotes link to word timings; visible text links to sampled frames. Rejected candidates remain in the audit so failed validation cannot silently become a clean result.
Publishing context, source-audio checks and brand evidence are separate questions. Unknown facts stay unresolved, and a missing record is not proof of a false claim.
Not legal advice. ClearFrame is issue-spotting for review prioritisation. It points you to the exact second, claim and clause to look at, but it is not a certification of legality and doesn't replace your legal or compliance sign-off.
Request a scoped pilot: one draft cut, a review report and one revised-cut check. We agree the fee, coverage and delivery window before you share campaign files. Personal care and consumer-product campaigns are the starting point; other categories are scoped individually.
Opens your email client, or write to us directly at hello@clearframe.in.
