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AI & Agents

AI built into the platform. Not bolted on.

Artificial intelligence is at the core of our platform, so you don’t have to figure out how to build it yourself to drive smarter product discovery.

One AI engine turns data into more accurate results across every channel, faster.  AI agents handle time consuming work for your team and make it easier for shoppers to find what they need.  And AI is built into the tools marketers and merchandisers use every day.

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One AI engine, powering everything on the platform.

Our AI engine powers every agent and product in our platform. It turns product and shopper data into smarter, more relevant results for shoppers and improves your team’s output as it continues to optimize and learn.
Predictive

Anticipate shopper intent and demand, optimizing merchandising, promotions, and recommendations to improve product sales.

Semantic

Understand what shoppers mean when they shop. Read intent and context, not just match keywords.

Generative

Create and enrich product content, descriptions and answers automatically, at scale.

Multimodal

Understand images and text together, the ways shoppers actually search.

AI Agents that help shoppers convert faster.

Each Athos Commerce AI Agent is purpose-built for a specific role, working independently or together to help your team move faster and your shoppers find the right product every time.
Conversational Assistant Channel Assistant GEO Assistant
Conversational Assistant
Give shoppers an AI shopping guide that converts browsers into buyers.

The Conversational Assistant trains on your product catalog, web copy, and content to guide shoppers through discovery, responding to questions, understanding intent, and accelerating every path to purchase.

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Channel Assistant
Your AI agent for feeds that audits, optimizes, and expands channels automatically.

The Channel Assistant automatically audits and improves product feeds to increase visibility on Google Shopping, expand into social commerce and marketplaces, and unlock incremental sales without additional headcount.

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GEO Assistant
Get your products live and discoverable on LLMs and AI platforms.

GEO Assistant enriches your catalog, optimizes for Answer Engines, and syndicates to AI platforms including ChatGPT and Google Gemini, reaching shoppers where discovery is shifting without operational complexity.

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AI, woven into every day product discovery.

AI is built directly into search, merchandising, personalization, and product feed management so smarter work and sales are simply part of how things get done, every day.
AI Search AI Data Enrichment AI Merchandising AI Product Recommendations AI Product Bundling Product Data Management
AI Data Enrichment
Bridge the gap between what you call products and what shoppers search for.

Synonym mapping connects variant terms automatically, color standardization converts creative names into searchable language, and NLP extracts keywords from product descriptions to maximize discoverability.

Features
AI Merchandising
Create AI-assisted campaigns and get recommendations based on performance and shopper patterns.

AI assists boost merchandising campaign setup and maintenance, using text and image attributes to automatically create boost rules and recommend which products to promote and when.

Features
AI Product Recommendations
Transform product discovery from guesswork into precision.

Deliver behavior-based recommendations that update continuously from browsing and purchase history, while session-based signals adapt dynamically per visit to surface trending items, cross-sells, and curated picks that keep shoppers engaged.

Features
AI Product Bundling
Bundle what fits together based on real-time browsing, purchasing, and cart activity.

Context-aware bundles surface on product detail and cart pages, trend-driven pairings capitalize on high-demand combinations, and session-based personalization uses inferred intent to build relevant bundles that export directly to Google Shopping.

Features
Product Data Management
Identify, fix and optimize every product data issue, automatically.

AI Categorization replaces incorrect source data, Feed Enrichment generates missing attributes using generative AI, and Multimodal Attribute Extraction pulls structured data from product text and images for consistent taxonomy alignment.

Features

Features

Multimodal Search

Let shoppers search using text, images, or both for faster and more intuitive product discovery.

Intent Recognition

Understand shopper intent beyond keywords to guide shoppers to the right product faster.

Quick View

Show product details instantly in-conversation without shoppers jumping between pages.

Product Comparison

Generate clear side-by-side comparison tables on request so shoppers choose with confidence.

Product Recommendations

Suggest similar or complementary products directly in conversation to drive upsell and increase order value.

Immersive Shopping

Answer questions about store locations, shipping, returns, and policies without leaving the conversation.

Persistent Shopping Conversations

Store chats as threads so shoppers pick up right where they left off.

Full Brand Control

Prevent off-brand or inappropriate responses with built-in AI safety guardrails.

Agentic Feed Audit

Complete full feed audits in minutes instead of days, freeing your team to act on insights.

Agentic Quality Standardization

Apply consistent best-practice standards across every audit to eliminate human error automatically.

Reducing Product Disapprovals

Catch issues before they cause disapprovals to keep more products approved and selling.

Continuous Feed Optimization

Run frequent audits for faster fixes, quicker performance gains, and more agile feed decisions

Product Catalog GEO Enrichment

Auto-fill missing attributes so products surface more often in AI-driven recommendations.

GEO Engine Syndication

Distribute product data to Google Gemini, ChatGPT, and AI platforms using next-gen feeds.

GEO Engine Optimization

Prepare your catalog for Generative Engine Optimization to ensure AI shopping discoverability.

Hybrid Search

Combine keyword precision with AI semantic understanding to capture intent-based queries while maintaining fixed positions for pinned products.

Personalized Search Relevancy

Enhances personalization weighting in search algorithms to deliver tailored results.

Search Query Personalization

Automatically merchandises search and category results based on recent shopper behavior and search history.

Automatic Synonyms

Map term variations automatically, connecting “sofa” searches to “couch” listings.

Color Standardization

Translate creative color names like “Deep Ocean” into searchable terms like “Blue”.

NLP Product Discovery

Extract relevant keywords from product descriptions to maximize discoverability.

AI-Assisted Campaign Creation

Automatically set up and maintain boost campaigns using text and image attributes to generate boost rules.

Suggested Products

Get ranked product recommendations based on conversion potential, demand, seasonality, and stock levels.

Behavior-Based Recommendations

Deliver recommendations based on browsing and purchase patterns that update in real time.

Session-Based Recommendations

Adapt recommendations dynamically during visits based on current interests.

Relevant Recommendations

Surface trending items, preferences, similar, cross-sell and curated picks to keep shoppers engaged.

Context-Aware Bundle Placement

Generate bundles based on product and cart context, displayed on detail and cart pages.

Trend-Driven Bundle Generation

Surface bundles based on performance trends and high-demand pairings.

Session-Based Bundle Personalization

Generate bundles using real-time browsing behavior and inferred intent.

Automated Shopping Feed Bundle Export

Automatically export recommended bundles into your Google Shopping Feed.

AI Categorization

Auto-generate accurate product categories to fix and replace incorrect source data.

AI Feed Enrichment

Automatically generate missing feed fields, using generative AI based on your existing catalogue data.

Multimodal Extraction and Standardization

Extract and standardize structured product attributes from both text and images, ensuring consistent formatting and taxonomy alignment.

More visibility, better performance

API-powered feeds, 50% more SKUs reaching customers

+50%

number of SKU’s shown to customers

+15%

increase in ROAS

We are delighted with the scale of what we have been able to achieve since integrating with Athos and their Google modules, and now it will be easier to add more product attributes to support our customers’ shopping discovery journey.

Simon Sharland
Head of Digital Marketing, Loyalty and Online
Officeworks
View Case Study

Frequently Asked Questions

What is the difference between AI Agents and Athos Commerce's other AI products?

Athos Commerce AI Agents are purpose-built to complete specific jobs, auditing feeds, enriching catalogs, and guiding shoppers through purchase conversations. Athos Commerce’s AI Product Discovery capabilities, by contrast, power the underlying search, merchandising, personalization, and recommendations experiences on your site. The two work together within the same platform.

Do I need all three AI Agents, or can I start with just one?

Each AI Agent is purpose-built and operates independently. You can start with the agent most relevant to your current priorities, whether that is improving on-site conversion with Conversational Assistant, fixing feed quality with Channel Assistant, or expanding into AI platforms with GEO Assistant, and add others as your needs grow.

How does Athos’ Conversational Assistant learn my products and brand voice?

Conversational Assistant trains directly on your product catalog, website copy, and brand content. It uses that training to respond accurately to shopper questions, stay on-brand, and guide discovery based on your specific products, not generic responses. Built-in safety guardrails ensure responses always stay within your brand boundaries.

How is Channel Assistant different from traditional product feed management?

Traditional feed management relies on manual rules and scheduled exports. Channel Assistant runs continuously, completing full feed audits in minutes, applying consistent quality standards automatically, and catching issues before they cause product disapprovals. It removes the manual validation work so your team can focus on growth decisions rather than feed maintenance.

Which AI platforms does GEO Assistant currently syndicate to?

GEO Assistant currently supports syndication to Google Gemini, ChatGPT, and other emerging AI platforms. It enriches your catalog with the structured attributes these platforms require and distributes product data using next-generation feeds, ensuring your products are visible where shoppers are increasingly starting their discovery journey.

Related Resources

Blog
Your Data Is Your Storefront

AI shopping agents prioritize structured product data. If your catalog isn't machine-readable, you're invisible to the fastest-growing channel in ecommerce.

Read More
Blog
Preparing Your Product Data for GEO

Learn how to prepare your product feed for GEO. Practical steps for enriching product highlights, building trust signals, and getting recommended by AI shopping agents.

Read More
Blog
Your Google Shopping Feed Is Already Powering ChatGPT

83% of ChatGPT's product recommendations come from Google Shopping. Learn why your product feed is now your most important AI asset and how to optimize it.

Read More

AI powering your entire commerce experience

See how Athos Commerce’s AI agents and AI-powered search, merchandising, personalization, and feed management work together to convert more shoppers across every channel.
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