The 9 Best AI Tools for Predicting Ad Creative Performance in 2026

Key takeaways

• Neurons is the best all-round prediction tool. It scores attention, emotion, cognitive demand and memory on images and video, and marks what to fix on the creative itself. Pricing is by quote.

• Alison.ai scores new ads against your own account history. Its preflight score weights what has worked in your ad account at 70% and platform best practice at 30%, on the KPI you choose, and the best-practice check is free.

• System1 and Kantar LINK AI predict brand and sales effects from millions of past human responses to ads, and both sell a human panel test as the step up.

• Brainsight, Attention Insight and Dragonfly AI predict where people will look, with published prices from €23 a month for Attention Insight.

• Every accuracy figure in this category is published by the vendor, and each is measured against something different. Use prediction to cut the list of ads you test, not to skip the test.

What creative prediction tools actually predict

Testing ads on live spend is slow and expensive, so these tools try to tell you which version will work before any budget goes out. They don't all predict the same thing, and knowing which kind you're buying tells you more than any score on the screen.

• Attention models estimate where people will look in the first seconds and whether the logo, product and offer get seen. They're trained or checked against eye-tracking studies.

• Pre-flight scoring checks a creative against platform best practice, such as branding early, sound on and safe zones. The better tools also compare it with what has worked in your own ad account.

• Panel-trained models learn from millions of human survey or emotional responses to past ads and forecast brand and sales effects.

Meta's own creative testing sits outside all three. It runs your ads against each other on real budget and reports what happened.

How we ranked

We looked at how directly each tool predicts outcomes a performance team cares about (attention, recall, brand effect or account KPIs), how much evidence the vendor publishes for its accuracy, which formats it handles, whether it connects to ad accounts, and what it costs to start. Attention-only tools rank below tools that use your account data or large human-response databases, because getting seen is only the first step toward a click or a sale.

The nine tools compared

1. Neurons - Best overall

Neurons builds prediction models from its consumer neuroscience research, which it says covers more than 300,000 people.

What works: Neurons AI predicts four kinds of response on images and video: attention (including how much of the logo, product and copy gets seen), emotional engagement, cognitive demand and memory for the ad and the brand. These roll up into a single Neuro Impact Score. Video and animated banners are scored frame by frame. Recommendations are drawn on the creative itself, pointing to the elements holding it back, so you change the ad and score it again. Campaign Analytics then sets the scores next to reach, CTR, CPC and spend, and there's an API for teams that want scores in their own tools.

What doesn't: Pricing is by quote after a demo, with no published plan prices. Neurons cites "+95% predictive precision" without saying what it's measured against, and its own earlier study of its attention model reported accuracy above 90% against eye-tracking data. It predicts attention and memory, not your account's CTR or CPA.

Best for: Brand and agency teams that want attention, emotion and memory scores on every ad before it runs.

2. Alison.ai - Best for scoring against your own ad account data

Alison.ai is a creative intelligence platform that tags the elements in your ads and links them to results.

What works: Its Preflight Plus score rates each new creative from 1 to 10 on the KPI you choose: CTR, conversion rate, ROAS, CPA or video completion. Part of the score checks platform best practice, including YouTube's ABCD framework and Meta's guidance. The larger part compares each tagged element in the new ad with how ads using that element performed in your own account. The default split is 70% account history and 30% best practice, and you can score on either alone. It connects to Meta, TikTok and Snapchat, among others, and offers an API and an MCP server. The best-practice check is free, needs no card or connected account, and returns a result in about 30 seconds.

What doesn't: The account-history half, which is the reason to choose it, needs a connected account and a paid plan sold by quote. Alison.ai publishes no accuracy figure for the score, and video is the only documented input.

Best for: Performance teams that want a pre-launch score grounded in their own results, not generic rules.

3. System1 - Best for long-term brand and sales effects

System1 tests ads on real people's emotional responses and sells an AI version for quicker screening.

What works: Test Your Ad gives three ratings: Star (long-term market share growth, from the type of emotion people feel), Spike (short-term sales potential) and Fluency (how many people recognize the brand). FaceTrace shows emotional response second by second, and results come back in as little as 24 hours across TV, social, digital, outdoor, audio and print. Test Your Ad Screen is the AI version: trained on 18 million human emotional responses, it scores up to 100 assets in minutes and withholds a result when it isn't confident. System1 says the Star Rating has been validated more than 250 times, including against the IPA Effectiveness Databank.

What doesn't: It predicts brand and sales effects, not direct-response metrics such as CPA. The AI screen only covers finished long-form video in the US and UK. System1 says Screen matches the human test nine times in 10 but doesn't show how, and there's no public price.

Best for: Brand teams deciding which video ads will build long-term growth.

4. Kantar LINK AI - Best for enterprise brand-lift prediction

Kantar sells LINK AI, the machine-learning counterpart to its long-running LINK ad test, through Kantar Marketplace.

What works: LINK AI predicts awareness, consideration and purchase intent, plus attention, engagement and likelihood to act, against norms for each channel. Kantar says the model is built on more than 300,000 ad tests and covers digital, TV, static and creator content, from early ideas written as text summaries through finished ads. It also predicts eye-tracking and how a creative will travel across markets, with results in minutes.

What doesn't: Kantar publishes no accuracy figures specific to LINK AI. Pricing depends on market, number of ads and servicing, and the only figure on the page is for the human-panel LINK+ test, from $4,500. It has no ad platform integrations.

Best for: Large advertisers that already use Kantar norms and want brand-lift predictions in minutes.

5. CreativeX - Best for pre-flight checks at global brand scale

CreativeX gives every ad a Creative Quality Score and checks new content against it before it goes live.

What works: The score covers checks such as aspect ratio, branding early, safe zones, sound on, supers, video length, CTA close-ups and pacing, plus your own brand guidelines. It connects to Meta, Instagram, TikTok, YouTube, Snapchat, X and display. CreativeX has published the largest dataset in this category: in an analysis of about 1 million ads, reported by WARC, a 10% higher quality score went with a 2% lower CPM, and ads in the top third for quality had CPMs 15% cheaper than the bottom third.

What doesn't: Those are correlations from CreativeX's own data: they show the score tracks cheaper media without proving it causes it. A quality score also can't tell you which of two compliant ads will win. Pricing is by quote, and the product is built for global brand teams with many markets to police.

Best for: Global brands that need every market's ads checked against the same standard before launch.

6. Brainsight - Best attention heatmaps for agencies

Built inside a Dutch neuromarketing agency, Brainsight predicts where people will look on images, video, web pages and HTML5 ads.

What works: You get heatmaps, gaze plots and areas of interest, plus an Attention Score for how likely an ad is to be noticed in context (display, social or out-of-home) and a Clarity Score for how easily it's understood once seen. Higher tiers add a Creative Impact Score and logo and text tracking for video. Brainsight says its predictions reach 94% accuracy compared with live eye-tracking studies. Team starts at €199 a month for five users and 500 image heatmaps, and the free trial needs no card.

What doesn't: It predicts attention and clarity only, with no link to your ad account or click-through data. Video is limited to 20 heatmaps a month on the Business plan, and full API access starts on the Agency tier.

Best for: Agencies that want to show clients, with a heatmap, why one layout will be seen and another won't.

7. Attention Insight - Best budget attention heatmaps

Attention Insight predicts attention on ads, landing pages and video from models trained on eye-tracking studies.

What works: Each analysis returns an attention heatmap with the share of attention per area, a focus score, a Clarity score from 1 to 100, a contrast check against accessibility guidelines, an overall Visual Performance Score and AI recommendations. Video is analyzed frame by frame on Pro. Basic costs €29 a month, or €23 billed annually, and there's a 14-day free trial with no payment details. It reports 90% to 94.5% accuracy on the MIT Saliency Benchmark, which compares predictions with real eye movements.

What doesn't: Video is billed per second of footage on credits and needs the Pro plan, and Basic adds a watermark. It's built as much for landing pages and UX as for ads, and there are no ad platform integrations.

Best for: Small teams and freelancers who want attention heatmaps on every draft without an enterprise contract.

8. Dragonfly AI - Best for packaging, shelf and out-of-home

Dragonfly AI scores attention with a model that simulates how the brain reacts to color, texture, orientation and scale in the first moments of seeing something.

What works: The model was developed with Queen Mary University of London and isn't trained on eye-tracking data. It scores attention, clarity, visibility and digestibility on static and motion ads, landing pages and emails, and covers packaging, shelf layouts and out-of-home as well. Dragonfly says it's validated at 89% of the theoretical ceiling of human eye-tracking agreement, which is a clearer definition than most vendors give. An API called Connect sends scores to other tools.

What doesn't: Plans are tailored and quote only. Ad-specific features such as platform benchmarks or account data are thin compared with the scoring tools above, and nothing connects to ad platforms.

Best for: Consumer brands testing packaging, in-store and out-of-home creative alongside digital ads.

9. AdCreative.ai - Best for small teams already generating ads

AdCreative.ai is an ad generation platform whose Creative Scoring feature rates ads you upload.

What works: Each creative gets a Performance Score and an Awareness Score, with suggested edits and the points each edit should add. A detector finds the logo, CTA button and product, and a saliency model draws an attention heatmap. Connecting your ad accounts lets the scores learn from your own results. Plans start at $39 a month, and the free trial includes scoring and 20 credits.

What doesn't: AdCreative.ai claims "over 90% accuracy" without saying how it measures that. Scoring is one feature inside a generation subscription, and G2 reviewers most often mention limited customization and price.

Best for: Small teams that already make ads in AdCreative.ai and want a quick score before upload.

Which one fits your team

• You want attention, emotion and memory scores on every ad: Neurons.

• You want a score based on what has worked in your own account: Alison.ai.

• You're deciding which video builds the brand over years: System1.

• You already buy Kantar research and want faster answers: Kantar LINK AI.

• You need every market's ads checked against one standard: CreativeX.

• You need heatmaps to show clients: Brainsight.

• You want heatmaps on a small budget: Attention Insight.

• You test packaging and out-of-home too: Dragonfly AI.

• You already make ads in AdCreative.ai: its Creative Scoring.

Frequently asked questions

Can AI predict ad performance before launch?

Partly. AI can flag ads that break platform best practice or that people won't notice, and panel-trained models forecast brand effects from millions of past responses. Predicting which of two good ads gets the lower CPA in your account is harder: tools that score against your own account history are built for it, but none publishes an accuracy figure. Use prediction to cut the list of ads you test, then let live results decide.

How accurate are creative prediction tools?

Every published figure comes from the vendor, and each measures something different. Attention tools compare their heatmaps with eye-tracking: Brainsight reports 94%, Attention Insight 90% to 94.5% on the MIT Saliency Benchmark and Dragonfly AI 89% of the eye-tracking ceiling. System1 says its AI screen agrees with its human test nine times in 10. None of these is a measure of sales or CPA, so they can't be compared on one scale.

Should I use attention heatmaps or A/B tests?

Use both, in order. A heatmap predicts in seconds, at no media cost, whether the product, logo and offer get seen. An A/B test measures what actually drove clicks or sales, on real budget. Fix the ads that fail the heatmap, then test the ones that pass.

Does Meta have a built-in creative prediction tool?

Not a pre-launch score. Meta's creative testing tool in Ads Manager compares up to seven ad variants inside an existing campaign on a share of its budget, so it reports live results. Meta's opportunity score rates how many of its recommended setup changes you've applied; it says nothing about how a given ad will perform.

How much do creative prediction tools cost?

From free to enterprise contracts. Alison.ai's best-practice check is free. Attention Insight starts at €23 a month billed annually, AdCreative.ai starts at $39 a month, and Brainsight starts at €199 a month. Neurons, System1, Kantar LINK AI, CreativeX and Dragonfly AI sell by quote, and Kantar's human-panel LINK+ test starts at $4,500.