TL;DR
This Brainsight vs Neurons comparison is written for marketing, insights, and UX teams evaluating predictive attention platforms. This comparison guide shows the differences in scientific approach, platform features and commercials between Brainsight and Neurons.
- Neurons is better if you need a premium full-service enterprise research partner and have the budget for it.
- Brainsight is better if you need enterprise-grade predictive attention with self-service workflows, API integration and transparent pricing.
Brainsight vs Neurons
Brainsight and Neurons are both intelligence platforms in predictive attention. Both built by neuroscience labs, both offering proprietary benchmarks, both validated. However, Brainsight and Neurons serve different markets and have different approaches.
Neurons: if you follow a global, Fortune-100 approach, Neurons is your best choice, standardizing from global headquarters with a full-service program, including customer success managers, neuromarketing courses, and (live) research services. It does come with a premium: publicly reported budgets start at $5,000/year, but quickly jump to €15,000/year and up (i.e. compared to Brainsight's Business- or Agency Plan) and think multiples of that for enterprise and API solution. Pricing may change and is always custom, so check for yourself.
Brainsight: similar neuroscience legacy, comparable scientific approach to attention and creative impact, and, on a whole compares closely when it comes to insights and analysis features. The biggest difference is that Brainsight follows a user-focused, self-service strategy. It enables us to offer in a premium solution at mid-range pricing, and offering more flexibility in usage, users, and license. That is also the case if you are a corporate with the need for 100+ seats globally with various workspaces, or if you have our API validating thousands daily. Brainsight is more flexible in terms of users, usage, and subscriptions. That is a strategy and therefore our clients like us and stick with us long term.
Here's how our comparison guide is structured:
1. Where we agree
Two intelligence platforms, one shared origin
Most tools come from a technology background, lacking real-life research and neuroscience expertise and knowledge. Of the handful tools that generate attention heatmaps, only some are built as intelligence platforms with a neuroscience background, with benchmarks, validated studies, metrics and modelled interpretation layers. This is where Neurons and Brainsight are comparable and fully aligned.
Neurons grew out of applied neuroscience research in Copenhagen; an innovator that ran neuro studies for global brands long before it productized its models. Brainsight grew out of Braingineers, the Amsterdam neuromarketing research agency, running live eye-tracking and EEG studies for agencies and brands like dentsu, Omnicom, Asics, Visa, Adyen, G-Star, and Vodafone, to name a few. Also, Brainsight was the first agency that built a neuro-usability solution.
Neuroscientists, researchers and psychologists working with and for brands and agencies and real-life use-cases, studies and data; that is the foundation for both Brainsight and Neurons. Not many other (if any) solution providers have this background. AI expertise was added later on to build Attention Prediction models, but with expertise, experience and data from ten thousands of live eye-tracking sessions (Tobii) and having a fully stacked neuroscience lab and scientists to validate those predictive models. Same DNA: real labs, real client problems, models built from research practice rather than scraped datasets.
That shared origin shows in what we both insist on:
- Science-first: predictions validated against real eye-tracking data, not just claimed
- Benchmarked scores: number with a reference point (without one is not an insight)
- Ongoing (validation) studies
- Analyses and insights are built on owned models (not just linking it to an LLM)
Where we differ is market, delivery model, price. And one honest disagreement about what AI should promise.
2. Difference: Price, Structure & The Meter
Custom enterprise contracts vs. transparent, flexible Plans
Neurons doesn't publish pricing. Access is sales-led, with annual license contracts. Publicly reported entry points start around $5,000/year, and multi-seat team licenses have been quoted from €15,000/year and up. That is global premium pricing, and for a large enterprise standardizing on one platform, it works. For brands and agencies that need more flexibility at more modest pricing, it often doesn't.
Brainsight's pricing is transparent, see our pricing page here. Entry plans start at €199/month, but agency and brand teams are typically on €399 to 799/month. Monthly. No annual lock-in. In side-by-side quotes that switching customers have shared with us, Brainsight typically comes in around half the cost for comparable seats and scope.
No meter running
There's a second difference that matters more over time than a sticker price. Brainsight doesn't run a meter. Need an extra user this month? Added. Ran over your usage threshold because a big campaign landed? Fine. Next month you're probably under your threshold again. No credits, no forced tier upgrades, no per-seat upsell call.
We built it this way because we come from the research-agency world, where you're a partner on the account, not a vendor optimizing expansion revenue. It's also why our churn is exceptionally low: nobody leaves a tool that never punishes them for using it. To our knowledge, no one else in this market (at either end of it) works this way, and that is why our clients like us and stay with us.
Conclusion: same scientific arena, a different order of magnitude in customer-centricity.
3. Difference: benchmarks
Brainsight was the first to offer platform benchmarks for contextual attention. Neurons now also offers industry and platform benchmarks; credit where due, this is exactly how it should be: a score without a reference point is a number, not a verdict or an insight.
Brainsight's benchmark layer works on the same principle, with two additions:
1. Context-true channel benchmarks: a bus shelter creative is judged against outdoor-in-situ benchmarks, seen in passing, at distance, day- or nighttime, in a crowded and empty street: a creative can be strong, but format changes what 'strong' actually means.
2. Custom Benchmark Engine: purpose-built benchmarks for both Attention and Clarity, constructed from your own creative history, your client's category, or a domain. If you want your to provide benchmarked attention scores for your contextual environment: a retail media channel, eCom platform, or your entire advertising ecosystem through your websites and apps. Our benchmark engines are designed for this. Deliverables can be through the platform or API. Custom benchmarks can be public, semi-exclusive, or exclusive to you (regionally or by domain).
Example: for publisher Roularta, Brainsight built a magazine-cover benchmark for attention performance in physical store contexts, plus clarity scoring, with Benelux exclusivity. Their covers aren't judged against 'images'; they're judged against magazine covers fighting for attention on a shelf, taking positioning and type of placements into account.
For publishers this turns every pitch into evidence, offering pre-flight testing solutions for your clients.
4. Difference: ways to interpret
From metrics to meaning: two approaches
Both platforms add an (owned) AI interpretation layer on top of their attention and cognitive metrics. They read the same kind of data through different frameworks.
Neurons' interpretation converges on the Neurons Impact Score with a launch-or-optimize recommendation and AI insights on top.
Brainsight's Deep Audits interprets the underlying data through a five-pillar perceptual framework: the journey a viewer's attention travels in the first seconds of exposure:
- P1 Breakthrough: does the creative get noticed at all?
- P2 Brand Linkage: does the brand get loaded once attention lands?
- P3 Instant Understanding: does the message land in a single glance?
- P4 Cognitive Ease: is the design easy enough to process?
- P5 Message Take-out: what does the passing/scrolling viewer walk away with?
Each pillar has its own sub-pillars, each scored separately and backed by Brainsight's benchmarks and data of the specific evidence behind it. The five roll up into one Creative Impact rating: Excellent, Strong, Above Average, Average, Below Average, At Risk, or Poor. Optimization suggestions are provided. For landing pages, these include A/B testing hypotheses.
Two choices shape how Deep Audit reads a creative:
Goal-contextual scoring. Pillar are judged differently, depending on your campaign objective. A scan path that terminates on the CTA is a positive for a Convert goal, but a negative for an Inform & Build Trust goal. Deep Audits adjust the sub-pillar weightings to the goal you set, or the key message or DBAs involved. A creative isn't "good" or "bad" in the abstract; it's good or bad for what it's trying to do.
Analysis in situation, not in isolation. The creative is scored inside its context: a bus shelter on a real street, a social ad inside a feed, a banner in a real page layout. Not against a blank background. Attention behaves differently when a creative competes with real surroundings. Brainsight's Deep Audit reads that context.
Conclusion: both platforms are pre-flight predictions calibrated against historical and or benchmarked data. They answer different questions and use their own proprietary models and scoring. Want to compare? Brainsight offers (extended) trials if you want to try and evaluate how this works in practice.
5. Difference: scientific disagreement
We predict attention & foundations, Not results.
Here's where we respectfully part ways with the industry's direction, Neurons included.
Some platforms, including Neurons, predict Memory (the likelihood an ad will be recalled) and Engagement (the positive emotional response an ad would evoke). The underlying research is real: MIT studies show that some visual properties of images are intrinsically more memorable than others. As statements about pixels, attention and even memorability are defensible science.
Here's the nuance that defines our position. When the meaning of an image changes, attention barely moves: a famous face seizes the eye today exactly as it did yesterday. However, what inverts overnight is the emotion attached to it. One (bad) news cycle, and the same face that lifted your brand now damages it. The pixels didn't change and the attention didn't change. But the meaning did.
That's precisely why we draw the line in our predictions and insights:
- Brainsight PREDICTS the stable, scientific layer: instant attention, clarity, visual hierarchy, scan-paths: stimulus-driven responses that hold across contexts, which is exactly what makes them responsibly predictable with high accuracy (94% vs. live eye-tracking).
- Brainsight PREDICTS the foundations for brand linkage, engagement, or memory. That means: if your brand is seen and anchored, combined with other factors (like DBA), you laid a good foundation for an intended result. When those are absent, memory or brand linkage are at risk.
- PBrainsight DOES NOT predict the fragile layer of emotional response, likeability, purchase intent, or brand impact. These are properties of people, culture and the moment, not of pixels. For those results, we believe in live measurement: panel-based testing the way System1 and Kantar (or Neurons' own research division) do.
Two delivery models, priced accordingly
Note what Neurons does when certainty on emotion and memory really matters: it offers live neuroscience studies: as separate, paid research engagements on top of the platform license. We think that instinct is exactly right: some things must be measured, not predicted. This is part of their full-service model, and of their premium license structure.
Brainsight is deliberately the opposite: a self-serve intelligence platform. No consultants required, no research retainers attached. We believe that your team is knowledgeable about creative analyses, having domain expertise. Knowing the brief of your campaign or client's campaign. Our pricing reflects that. Yes, upon request we do onboarding, lunch & learn (neuro) sessions, but if you want strategy hours, custom studies or dedicated research partner bundled with your predictions, Neurons is genuinely the better fit.
If you want the intelligence layer itself, in your own hands, at a price that doesn't include services you won't use, Brainsight is offering that.
Think of it as "Maybach or Mercedes": they're engineered with the same components and standards, the difference is whether the chauffeur comes with the car or not.
6. Comparison Table
7. Brainsight or Neurons?
Five reasons you might choose Brainsight
When choosing Brainsight, these are the main reasons for doing so:
- Built for people close to the work.
You know your creative, your brand, your clients, your category. Brainsight provides the predictive data and insights in the platform to run your own analysis, with modules like Deep Audit as a smart buddy that talks through the "why" whenever you want to dig in. Self-serve doesn't mean self-taught. You stay in charge. - Honest limits on what the AI predicts.
Attention, clarity and visual hierarchy: documented and field-validated. Memory, emotion, likeability: those depend on brand, culture and timing. For those, we recommend live research rather than making promises the AI can't keep. - Scoring in context, not in the abstract.
Same creative, different verdicts depending on where it lives and what it's meant to do. Deep Audit reads your OOH ad inside a real street, your social ad inside a real feed, your banner inside a real page — as standard, not as a separate testing product. Contextual judgment is built into every score, not applied on top. - Your own benchmarks.
Our Custom Benchmark Engine builds Attention and Clarity benchmarks from your own data and categories. Brainsight regularly co-invests in them, with exclusivity depending on your needs — public, regional, or full-domain. - Predict, not generate.
Brainsight analyzes your creative and gives you optimization directions, but never rewrites it. That's a deliberate platform choice. Our verdicts feed into your creative stack via API — pair them with the generative platforms you already trust (Bannerflow, Storyteq, Smartly.io, Canva). Separating the judge from the fixer keeps the judgment clean.
Priced Accordingly
Pricing starts at €199/month, although teams typically opt for €399-€799. No lock-ins, no credits ticking, no forced upgrades, no per-seat upsell calls. Extra user this month? Added. Over your usage in a big month? Absorbed. Same platform scales to 100+ seats and 10,000 images a day via API. Flexibility is our model, not a favor.
When Brainsight isn't your fit
- You need a full-service enterprise platform with additional service-options and dedicated account teams
- Corporate global budgets are not a deciding factor (five- to six-figure annual commitments are fine)
- You require scores on memory, emotion or likeability metrics (and believe those can be reliably predicted)
- You need plug-ins in every design tool your team uses
- You prefer the platform to also rewrite your creatives
In most of those cases, Neurons is likely the better fit.
Final verdict: Brainsight vs Neurons
If you're looking for enterprise-grade predictive attention software, both Brainsight and Neurons belong on your shortlist. Neurons is an excellent choice for organizations seeking a premium, service-led enterprise solution. Brainsight is designed for teams that value scientific credibility, transparent pricing, self-service workflows and flexible deployment. Ultimately, the right platform depends on your budget, preferred way of working and long-term scaling requirements.
