WolfSellers — Adobe Experience Cloud Partner en México

Adobe Experience Cloud · AI

Adobe Sensei — the AI layer across Experience Cloud

Adobe Sensei is the AI/ML layer Adobe embeds in every Experience Cloud (and Creative Cloud) product. It's not a standalone product — it's a set of models trained specifically for commerce, content, marketing and creative use cases. You access it by using Sensei features inside Adobe Commerce, AEM, Target, Analytics, Marketo and GenStudio. WolfSellers implements concrete Sensei use cases focused on measurable uplift.

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Definition

What is Adobe Sensei?

Adobe Sensei is Adobe's artificial intelligence and machine learning platform, announced in 2016. It's transversal: the same models power specific features in every Adobe product. Sensei isn't purchased separately — it's included in Experience Cloud and Creative Cloud product licenses. What you may pay for are premium tiers in each product that unlock specific Sensei features.

Adobe also launched Sensei GenAI (2023+) with its own generative models + Firefly, integrated with GenStudio for Performance Marketing and AEM Assets for copy and image variant generation.

Capabilities

Sensei in action — by product

Concrete features where Sensei delivers measurable value. These are the ones we implement with clients:

  • Adobe Commerce — Product Recommendations: recommendation engine (similar items, cross-sell, trending, personalized) trained on storefront behavioral data
  • Adobe Commerce — Live Search: Sensei-powered semantic search understanding intent and synonyms without manual configuration
  • Adobe Commerce — Product Discovery: automatic trending, dynamic best-sellers, catalog outlier detection
  • AEM Assets — Smart Tags: automatic image taxonomy detecting people, objects, colors
  • AEM Assets — Smart Crop: intelligent cropping keeping the subject in focus
  • AEM Assets — Smart Layout: templates adapting automatically to content
  • Adobe Target — Auto-Target: assigns each visitor the variant with highest conversion probability
  • Adobe Target — Auto-Allocate: dynamically directs traffic to the winning variant during the test
  • Adobe Analytics — Contribution Analysis: identifies which variables (pageviews, segments, etc.) contribute to metric changes
  • Adobe Analytics — Anomaly Detection: automatic time-series outlier detection
  • Marketo Engage — Predictive Content: recommends which content piece to serve each lead
  • Journey Optimizer — Offer Decisioning: combines business rules + Sensei to pick the optimal offer per profile
  • GenStudio for Performance Marketing — creative variant generation with Firefly

2024+ release

Sensei GenAI — Adobe's generative AI

Sensei GenAI are the generative models (LLMs + Firefly for image) Adobe built in-house (not GPT-4 wrappers). They're trained on licensed data — commercially safe for enterprise use without copyright exposure. Activated inside specific products:

  • GenStudio for Performance Marketing: creative generation (copy + image + variants) at scale for paid media
  • AEM Assets — Generate Variations: create asset variants for different aspect ratios, languages, contexts
  • Firefly integrated: image generation with prompts, inpainting, variant generation
  • Express Commerce: AI-generated templates for landings and products
  • Adobe Journey Optimizer — Content Generation: email subject lines and body copy with AI

Implementation

How we implement Sensei use cases

You don't 'implement Sensei' standalone — you implement specific features. Our approach:

  • Identify concrete use cases with volume (a recommendation engine needs enough data)
  • Activate the specific feature in the product (e.g. Product Recommendations in Adobe Commerce Enterprise)
  • Configure placement in the storefront/site (where the recommendation is served)
  • Define baseline success metric before activation (to measure real uplift)
  • Continuous tuning: iterate algorithms, audiences, presentation
  • A/B testing vs baseline without Sensei to validate real ROI
  • Reporting in Analytics/CJA with attribution to generated uplift

Decision

Sensei vs custom models vs OpenAI/Claude

Real criteria for when to use each:

  • Sensei: use it when the feature is built into your Adobe product. No relevant additional cost and removes the complexity of operating your own models.
  • Custom models (trained on your data): when the use case is very business-specific and Sensei's baseline isn't enough. Requires data scientist team + infra.
  • External APIs (Claude, GPT-4, Gemini): for generative or conversational cases outside Sensei's scope. Can integrate with the Adobe stack as external sources.

Frequently asked questions

What is Adobe Sensei?
Adobe Sensei is Adobe's AI and machine learning platform, launched in 2016. Not a standalone product — it's a transversal layer that powers specific features across every Adobe Experience Cloud and Creative Cloud product: Smart Tags/Crop in AEM Assets, Auto-Target in Adobe Target, recommendations in Adobe Commerce, anomaly detection in Analytics, predictive content in Marketo, and more.
How much does Adobe Sensei cost?
Sensei is included in Adobe product licenses that use it. Not sold separately. What can have additional cost are specific premium tiers that unlock advanced Sensei features — e.g. Target Premium ($) includes Auto-Target, Target Standard doesn't. Adobe Commerce Enterprise ($) includes Product Recommendations, Open Source doesn't.
What is Sensei GenAI?
Sensei GenAI is Sensei's generative AI branch (launched 2023+). Includes Adobe's own LLMs + Firefly for image. Differentiator: trained on licensed data (commercially safe for enterprise use without copyright risk). Activated in GenStudio for Performance Marketing, AEM Assets Generate Variations, Journey Optimizer content generation.
Is Sensei better than GPT-4 / Claude?
Unfair comparison: they're tools for different problems. Sensei is tuned for Adobe use cases (commerce, content, marketing). GPT-4 and Claude are general-purpose LLMs superior for conversational, reasoning, code. In practice: use Sensei for what it ships (recommendations, personalization, smart crop) and external APIs for custom generative cases or copilots.
Can I use Sensei without the full Adobe stack?
No. Sensei isn't sold as a standalone API for developers. If you want Sensei-style AI without the full Adobe stack, you have to build equivalent features with your own models or external APIs. Sensei's value is precisely that it comes integrated frictionlessly into the Adobe products you're already using.

Related services

Adobe Experience Cloud

Pillar: Adobe's complete suite — Commerce, Experience Manager, Experience Platform, Target, Marketo, Journey Optimizer, Workfront. We're a Gold Partner implementing the entire stack.

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GenStudio for Performance Marketing

GenStudio — paid media creative generation with Sensei GenAI + Firefly. Scale variants with brand compliance, Meta, Google Ads, TikTok and paid social integration.

Learn more →

Live Search for Adobe Commerce

Adobe Live Search — AI-driven search for Adobe Commerce powered by Adobe Sensei: semantic autocomplete, merchandising rules, synonyms, and per-category tuning.

Learn more →

Adobe Target

Adobe Target for personalization and A/B testing: Auto-Target with AI, Auto-Allocate, Recommendations, integration with Real-Time CDP and Analysis Workspace.

Learn more →

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