Doxa = what people really think

See what happens after the review.

DoxaIQ traces what owners report after weeks and months—what holds up, what breaks, and what buyers regret—with the evidence attached.

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Example · Opinion, measured.

Dyson V15 Detect

84

Generally positive

84 / 100 reliability

312

sources

18 mo

owner span

74%

buy again

Most reported issues

Last 12 months
Battery fade31%
Trigger fatigue21%
Filter alerts14%
Bottom line: Strong cleaning performance holds up. Battery complaints rise most often after month 12.

The post-purchase layer

Day-one tests meet month-twelve reality.

Lab tests measure controlled performance. Reviews capture individual opinions. DoxaIQ looks for recurring ownership patterns across public evidence—and shows its work.

See the full comparison →
What shoppers getDoxaIQLabsAI searchReviews
Follows ownership after launch
Combines multiple public platforms
Separates owners from reviewers & brands
Shows evidence behind each pattern
Reports missing and rejected evidence
Uses deterministic analysis—not AI summaries

Category-level comparison, not a claim about every provider. “Labs” means controlled product testing; “AI search” means generated community summaries; “Reviews” means retailer or community review collections.

01

Collect

Public YouTube and TikTok videos, available transcripts, comments, disclosures, and metadata through Scrape Creators.

02

Classify

Deterministic taxonomies identify reliability issues, owner-age signals, regret, and sponsorship.

03

Verify

Every score stays connected to source evidence so you can inspect the reasoning yourself.