SaliencyLab
SaliencyLab combines modeled ad diagnostics, AI-simulated buyer feedback and expert review to help brand and agency teams decide which creative to back or improve before campaign spend.
One of 96 tools in Advertising
Who it's for
- Paid media teams comparing campaign creatives who need a recommendation before committing or increasing spend.
- Brand and agency creative teams that want diagnostic findings and specific visual editing recommendations for ads.
- Teams using supported AI clients that want to access SaliencyLab tools through MCP with workspace access.
Not the right fit if…
- Teams that need real consumer interviews: BuyerLens uses AI-simulated buyers, not real participants.
- Teams that need sales or ROAS forecasts from creative scores: SaliencyLab says its modeled KPIs do not predict sales lift, ROAS, attributed conversion or brand recall.
How it fits your workflow
Bring the campaign brief, market context and creative options you are deciding between. SaliencyLab shapes the review around the audience, market and decision.
RoastIQ provides five modeled creative diagnostics; BuyerLens can be used to explore possible objections with simulated buyers. Category references can add market context.
SaliencyLab reviews the evidence and delivers a recommendation on what to back, improve or rethink. The sprint includes a decision call and review of revised creatives; the monthly option provides two review cycles and a shared decision log.
Pricing
Free: The page lists free tools, but does not specify their features or terms.
Creative review sprint — Launch with Confidence
€500 per sprint, excluding applicable VAT
- · One brand and one campaign, with up to 6 creatives
- · Prioritized creative shortlist with reasoning
- · Annotated frames and visual editing recommendations
- · One 30-minute decision call
Creative Decision Partner — Ongoing creative review
€1,000 per month, excluding applicable VAT
- · One brand and two cycles, with up to 6 creatives per cycle
- · Sprint deliverables in each cycle
- · Two reserved review slots on an agreed calendar
- · Two campaign briefs with relevant category references
Prices checked on Oct 18, 2026 from the vendor's site. They can change; confirm before you buy.
Key features
- RoastIQ five-KPI diagnostic
- Evaluates creative using five modeled checks: Beat the Skip, Get Noticed, Brand Impact, Sell Proposition and Build Brand. The page presents example scores and diagnostic findings, and notes that scores are model estimates.
- BuyerLens AI-simulated buyers
- Lets users explore possible objections to an ad through simulated buyer profiles and follow-up questions. The responses are examples from AI-simulated buyers, not real consumer interviews.
- Category and market context
- Provides creative approaches and references for a specified category and market, such as the page’s example for beauty in the United Kingdom.
- Expert-reviewed recommendation
- SaliencyLab’s team reviews the evidence and recommends which creative to back, improve or rethink, with reasoning and visual editing recommendations included in the described sprint deliverables.
- Hugo and MCP access
- The page presents Hugo as an autonomous creative intelligence agent and says supported AI clients can use SaliencyLab tools through MCP with workspace access and allowances.
Works with
- MCP-supported AI clients
Limitations to know
- BuyerLens responses are AI-simulated and are not real consumer interviews or independent validation.
- RoastIQ KPIs are modeled diagnostics; the page says they do not predict sales lift, ROAS, attributed conversion or brand recall.
- The sprint covers one brand, one campaign and up to 6 creatives; the monthly partnership covers two cycles of up to 6 creatives each.
- Initial recommendations are stated to take up to 10 business days from the confirmed start, with complete inputs.
Alternatives to consider
-
Engauge AI
Choose it if you want to test and refine ad creatives using real-time audience emotion and engagement measurements rather than SaliencyLab’s AI-simulated buyer feedback and expert-reviewed recommendation.
-
Dicer.ai
Choose it if you want ad creative recommendations based on campaign data as well as creative analysis, rather than SaliencyLab’s described pre-spend diagnostic and human review.
Getting started
- Bring the ads you are considering investing in and the decision you need to make.
- Discuss your brief, audience and market with SaliencyLab and agree the scope and timing.
- Provide the complete inputs for the agreed sprint or monthly cycle.
- Review the recommendation and decide what to back, improve or rethink.
Frequently asked questions
What do customers receive?
A recommendation on which creative to back, why, and what to change. SaliencyLab can review the evidence with the customer’s team or manage the testing and review; scope and timing are agreed before work begins.
Are BuyerLens participants real people?
No. BuyerLens uses AI-simulated buyers to explore possible objections. Their answers help explain the diagnosis but are not independent validation or real consumer interviews.
Do the scores predict sales or ROAS?
No. The five KPIs are modeled creative diagnostics. SaliencyLab says it does not claim sales lift, ROAS, attributed conversion or brand recall; campaign outcomes are measured in market.
Is submitted creative private?
The page says creatives and reports are scoped to the customer’s workspace, customer ads are not used to train scoring models, and customers control whether to create a share link.
Can customers use their own AI agents?
Yes. Supported AI clients can use SaliencyLab tools through MCP, with workspace access and allowances.