SaliencyLab vs Kantar Link AI.
The honest comparison, from someone who ran both sides.
I led media testing methodology at L'Oréal Paris HQ across 11+ markets and 500+ campaigns. Kantar Link AI was one of the vendors I managed. SaliencyLab is the tool I wish had existed for the 90% of decisions Kantar was never going to be commissioned for. Here is the side-by-side, with nothing dressed up.
SaliencyLab and Kantar Link AI solve different decisions. Kantar Link AI is a validated copy-test built around recall-survey methodology and a 250,000-ad meta-analysis, designed for final-stage validation of high-budget campaigns. SaliencyLab is a pre-spend creative diagnostic that returns a verdict in 90 seconds, calibrated against public engagement and click-intent outcomes (held-out OOS Spearman ρ +0.30 to +0.32, n=1,200+ ads).
If you can spend $40k–$120k and wait three to six weeks, Kantar gives you survey-grade evidence. If you are deciding which cut to ship next Tuesday, SaliencyLab gives you a mechanical Scale / Sharpen / Rebuild verdict tied to the same five constructs the giants pay six figures to measure.
The comparison, on the dimensions that actually change a decision.
No marketing language. Where Kantar is stronger, that is what it says. Where SaliencyLab is stronger, that is what it says. Where the answer is "depends", it depends.
| Dimension | SaliencyLab | Kantar Link AI |
|---|---|---|
| Decision moment | Pre-spendRun before the media buy, between edit rounds | Pre-launchFinal-stage validation before a major campaign |
| Time to verdict | ~90 seconds per ad | 3–6 weeks per study (recruit, field, code, deliver) |
| Price per ad | Included in Pro plan | $40,000–$120,000+ per ad, per market |
| Sample / cohort | 1,200+ ad calibration pool with public outcome data | 250,000-ad meta-analysis cohort |
| Validation target | Public engagement + click intent (TikTok, YouTube) | Recall survey + reported short-term and long-term effects (STE / LTE) |
| Held-out OOS performance | Spearman ρ +0.30 to +0.32 (TikTok engagement n=700, YouTube view counts n=403) | Reported in Kantar's published validation; methodology disclosed at the cohort level |
| Methodology transparency | Five frozen KPIs, fixed weights, mechanical verdict logic published on /methodology | Proprietary scoring; published behind sales conversations and case studies |
| Brand recall measurement | NoNot measured; not claimed | YesRecall is core to the methodology |
| Sales / ROAS prediction | NoExplicitly out of scope | Reports STE / LTE indicators backed by panel data |
| Iteration cycles | Designed for re-running after every cut | One round per study; iteration cost-prohibitive |
| Self-serve | YesUpload, 90 seconds, verdict | NoSales-led engagement |
| Best for | DTC, agencies, in-house teams iterating between rounds | Final validation of six- and seven-figure campaigns |
Why this comparison is not a stranger's opinion.
EEAT is supposed to mean Experience, Expertise, Authoritativeness, Trustworthiness. On creative testing, here is the receipt.
Oussama Nakhil
I spent six years inside L'Oréal's Global Consumer Insights team in Paris. Kantar Link AI was one of my vendors, not my colleague. I commissioned, defended, and read out hundreds of these studies, across 11+ markets and 500+ campaigns for six global beauty brands. Before that, three years agency-side at NielsenIQ Casablanca on a $3M+ FMCG portfolio.
I am not arguing Kantar is wrong. I am arguing the pre-spend gap exists, because I watched small brands skip the entire testing budget every quarter while the big brands paid six figures to confirm what the creative had already told you. SaliencyLab is the tool for the gap.
Two tools. Two different moments in the same workflow.
A serious testing operation often uses both. SaliencyLab for the 95% of decisions that never get a survey. Kantar for the 5% where the spend justifies one.
Use SaliencyLab when
- You are between edit rounds and need a verdict in 90 seconds, not 6 weeks.
- The cut's budget is below the threshold where a $40k+ study makes sense.
- You are testing variants, iteration is the point of the workflow.
- You want the methodology published, the weights frozen, the verdict deterministic.
- You need a Scale / Sharpen / Rebuild call before the media plan is locked.
Use Kantar Link AI when
- The campaign is a global hero asset with six- or seven-figure media weight.
- You need recall-survey methodology because the room expects it.
- You need panel-based STE and LTE indicators for the JBP or the regulator.
- The timeline allows three to six weeks before launch.
- You are validating, not iterating, the cut is largely locked.
What we have validated, and what we have not.
SaliencyLab's scores are model predictions. Here is exactly what they are validated against, and exactly what they are not. Same evidence we would put in front of an L'Oréal-level insights team.
What SaliencyLab does not claim
We do not claim to predict in-market sales lift, attributed conversion, ROAS, or brand recall. We do not measure eye tracking (heatmaps are predicted, not observed). Synthetic interviews via BuyerLens are scenario simulation, not a real consumer panel. We say this on every page that produces a score, and we say it here.
Kantar Link AI does measure recall, and does report STE / LTE projections backed by panel data. That is a real difference. If your decision needs that evidence, you need Kantar.
Questions teams ask before they switch tools.
Is SaliencyLab a replacement for Kantar Link AI?
Does SaliencyLab predict sales lift?
How much does each cost?
How fast is each?
Why should I trust the SaliencyLab score?
Can I run both?
The pre-spend verdict your team has been skipping.
Score your next cut in 90 seconds. Decide before the media plan goes live. No card required for the first three runs.