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SaliencyLab (RoastIQ)

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SaliencyLab helps brands and agencies review advertising creative before committing media spend. RoastIQ is its AI-assisted creative diagnostic: it helps teams decide what to keep, what to revise and what to test next. RoastIQ reviews image and video ads across five diagnostic areas: Beat the Skip, Get Noticed, Brand Impact, Sell Proposition and Build Brand. Reports combine model scores with creative-specific observations and recommendations. Predicted-attention heatmaps are model outputs, not eye-tracking measurements collected from the people who will see the campaign. A useful starting point is an existing creative, its intended audience, platform and campaign objective. A team can use the review to examine its opening, brand visibility, benefit communication and sequencing, then turn the recommendations into an editing brief or a controlled test. Designers and editors remain responsible for producing the revised assets; media buying and campaign execution are separate activities. BuyerLens, a related SaliencyLab workflow, explores AI-simulated audience perspectives when the creative diagnosis leaves questions about buyer resistance. These responses are hypotheses to investigate, not interviews with real consumers or independent validation. SaliencyLab also offers expert creative-review services for teams that want a prioritized shortlist, annotated recommendations and a decision discussion. Service engagements and software subscriptions have different scopes; current packages and terms are published on the SaliencyLab pricing page. Model scores do not guarantee a winning ad, sales lift, ROAS or brand recall. Published attribute-model research should not be interpreted as validation of every report score. Use the methodology and evidence limits alongside the report, and measure actual audience and campaign outcomes with the appropriate research or in-market test.

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