Feed Enrich · Product feed enrichment module

Enrich your product feed
into a performance engine.

AI product feed optimization: Dataïads audits, transforms and enriches your catalog — optimized titles, complete Google Merchant Center attributes, lifestyle visuals. Better feed quality means more ROAS on Google Ads and stronger presence in conversational agents. Published as a supplemental feed, no IT.

Request your free feed audit See a before / after
+32%in ROAS
for our clients
−15%in CPC
for our clients
+10%in CTR
for our clients
Raw feed: flat packshot
Raw feed · score 46
Enriched feed: lifestyle visual
Enriched feed · score 98
✓optimized title ✓gtin ✓google_product_category ✦question_and_answer ✓+4 lifestyle visuals −18% CPC ✓description ✦product_highlights ✓Local Inventory Ads ✦visual description
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They're already transforming their product feed with Dataïads · +70 brands

Galeries Lafayette Castorama Vertbaudet Fnac Darty Maje Salomon Jardiland Maisons du Monde Cdiscount L'Occitane Clarins Club Med Rakuten
Before / After

One product. Two feeds.

The same SKU, as it comes out of your feed manager… then as Dataïads publishes it to Google Merchant Center. Title, attributes, score, KPIs: everything changes. Click to toggle.

Raw product image Enriched lifestyle product image low-quality image
＋📸🎬＋4
Orange jacket Neve Studio women's 1/4-zip running jacket, orange, breathable moisture-wicking fleece
46score
product_type !Sportswear top✓Running > Tops > 1/4 zip
gtin !missing✓0123456789012
material !Polyester✓Recycled polyester / Elastane
color !Neon citrus✓Orange
gender / age_group ✓female · adult✓female · adult
additional_image_link !2 visuals✓+4 lifestyle visuals
product_highlights !missing✓5 key highlights generated
question_and_answer AI !missing✓6 Q&A pairs
document_link / related_product AI !missing✓guide + 3 related products
lowimpressions
0.9%estimated CTR
highCPC
The thesis

Better feed quality, a double win.

Every completed attribute and every enriched title feeds both Google's advertising machine and the AI answer engines at once. Same data, two performance channels.

More ROAS on Google Ads

A clean, complete feed gets a better grade from Google: more qualified impressions, a better CTR and a lower CPC on Shopping & Performance Max.

Shopping · PMax

Better presence in conversational agents

Conversational attributes and Q&A make your products understandable: more cited and recommended in AI Mode, Gemini and ChatGPT.

AI Mode · Gemini · ChatGPT
Offer · 100% free

What's the real score of your product feed?

We audit your catalog against ~40 criteria (compliance, completeness, content quality, visuals, conversational) and send you a quantified report: what's dragging down your Google Ads ROAS, what makes you invisible to AI agents, and the fixes prioritized by impact. No commitment.

Request your free feed audit

Report within 48h · No IT work · Your data stays yours

Overall quality score + benchmark vs the market
Missing attributes that penalize your campaigns
Conversational gaps (Q&A, AI Mode, Gemini)
Fix plan prioritized by fix rate
The platform

Everything to go from raw feed to a feed that performs.

Seven modules that chain together in a single tool: audit quality, transform data with no AI cost, orchestrate sources, segment the catalog, generate text and visuals with GenAI, then fill the new GMC conversational attributes for AI.

1Feed Audit

A quality diagnostic, automatic and quantified.

Launch an audit in one click: Dataïads scores your feed against ~40 criteria across 7 families (compliance, completeness, content quality, visuals, pricing, variants, conversational) and prioritizes fixes by impact. It's the foundation: a better-scored feed means more ROAS on Google Ads and stronger presence in AI agents.

  • ✓Overall quality score + benchmark vs the market
  • ✓“To fix” vs “to optimize” rules, sorted by fix rate
  • ✓Direct filter to the affected products, PDF export
~40 criteria · 7 rule families
feed-audit
Feed Audit dashboard with quality score and rules
2Mapping & Transformations

Transform your data without spending a single token.

Standardization, formatting, fallbacks, field recombination: deterministic transformations (e.g. upper(feed("title"))) run by formula. Instant, reproducible, free. AI is only called when it truly adds value.

  • ✓Input → Transform → Output, previewed product by product
  • ✓Expressions + fallback, or an AI assistant to generate the formula
  • ✓“Keep all” or custom fields only, without breaking the source
upper() feed() fallback AI cost: 0 tokens
mapping.dataflow
Mapping view: input transform output
Detail of a title field transformation
3Dataflow · Orchestration

All your sources, one visual pipeline.

Google Merchant API, Google Ads Reports, scraper, GMC inventory, PDP… Plug in, join, filter and merge your data in an orchestrated graph. Every node can be replayed, scheduled and monitored.

  • ✓Multiple connectors: feeds, Ads, BigQuery, API, scraper, CSV
  • ✓Joins, merges and filters on a drag-and-drop canvas
  • ✓Scheduled runs, statuses and logs per node
Orchestrated pipeline · replayable · schedulable
dataflow-canvas
Dataflow editor: source orchestration graph
4Product segmentation

Segment by performance, not blindly.

Browse every SKU with its attributes, variants and media, then join Google Ads performance to the feed. The products that matter are enriched first, segments follow real conversion value, recalculated on every run.

  • ✓Google Ads performance joined to the feed → clusters by ROAS, customLabel recalculated every night
  • ✓Filters, percentiles & clusters by category, brand or performance
  • ✓Focuses the AI budget on high-potential products; what already works is never touched
ROAS-driven · dynamic segments
products
Product list filterable by price and item group id
Detailed product sheet with variants
5GenAI · Text

Optimized titles and descriptions, with the right model.

For each field, choose the task, the capability and the AI model, then write a prompt wired to the product data. Dataïads generates information-rich titles (type, use, attributes) that lift CTR and feed quality, with a preview before publishing.

  • ✓Source scope → destination field, mapped onto the feed
  • ✓Model catalog (Gemini, OpenAI, OpenRouter…)
  • ✓Prompt with product variables + live preview
Enriched titles & descriptions · multi-model
genai-text
GenAI text configuration: scope, model and prompt
6GenAI · Visual

Lifestyle visuals generated from your product images.

Plug in your image URLs and let vision models recompose premium lifestyle visuals, pixel-faithful to the product. Where Product Studio edits by hand, product by product, Dataïads generates in batch over entire segments, published to Google and Meta.

  • ✓Main image chosen by AI vision (compliance + appeal) → fewer GMC rejections, better CTR
  • ✓Lifestyle visuals & 6 additional images, product_highlights filled in by vision
  • ✓Vision models (Nano Banana 2, OpenRouter Vision…), preview before publishing
No photoshoot · Google + Meta · pixel-faithful
Before: flat packshot After: generated lifestyle visual Before After · GenAI
Drag the handle to compare
7Conversational · AI Mode

The new GMC attributes built for AI.

Google introduced (Marketing Live 2026) a family of optional conversational attributes to help AI understand your products in AI Mode, AI Overviews and Gemini. Three are brand-new because the standard feed didn't carry them: question_and_answer, related_product and document_link.

  • ✓question_and_answer: up to 30 Q&A pairs per product, generated by GenAI
  • ✓document_link, related_product, product_detail & enriched highlights
  • ✓Published as a supplemental feed / Merchant API, with no impact on your products' approval
AI Mode (Search) AI Overviews Gemini
question_and_answer Conversational
QIs the jacket breathable for intensive running?
AYes, the technical fleece wicks away moisture and stays breathable even under sustained effort, thanks to its mesh recycled polyester.
QIs it suitable for cool temperatures?
AIdeal from 5 to 15 °C: the 1/4-zip stand-up collar and long sleeves shield you from the wind in mid-season.
QHow do I care for it?
AMachine wash at 30 °C, no fabric softener, air-dry to preserve the technical properties.
+3 more pairs⚡ generated by GenAI · Dataïads
Net-new: Q&A, related products, documents
Use cases

Concrete benefits, not promises.

A few scenarios that run continuously once in place: performance-driven, measurable and impossible to do by hand at catalog scale.

1Performance clusters for PMax

Budget goes to the products that pay off.

PMax treats the whole catalog the same: budget flows to the best-sellers, the rest sits idle.

↗customLabel by conversion value, recalculated every night: differentiated asset groups and target ROAS per cluster, reactivation of the “zombies”.
2Optimize only the underperformers

AI effort where it pays off.

Regenerating the whole catalog is expensive and also touches what already works.

↗High impressions + low CTR segment: we regenerate title/visual on it alone. A product that starts converting again leaves the segment on its own.
3Lifestyle images without a photoshoot

Google's visual standard, at scale.

A catalog that's 100% white-background packshots is penalized on Shopping, Demand Gen and AI Mode.

↗Batch generation over entire segments, pixel-faithful to the product, to Google and Meta. A 500-SKU photoshoot = tens of thousands of euros and months saved.
4A/B test before rolling out

Impact measured, not assumed.

“Do AI-rewritten titles really perform better?” Without a control, impossible to prove.

↗Challenger vs control cluster, CTR/ROAS delta read in Google Ads. We only roll out what wins.
Built for production

A process that runs on its own, every night.

Not a one-shot project: the pipeline lives with your catalog. AI costs controlled by design, guardrails, human validation and full reversibility.

AI cache

An unchanged product is never re-generated. “New products only” option: generation costs stay under control.

Fail-safe

If the batch starts failing or losing quality, the pipeline stops instead of publishing a degraded feed.

Quotas & usage tracking

Quotas by period and by model, usage visible. A lightweight model for titles, a premium model reserved for the top of the catalog.

Review step

Human in the loop: nothing is published without human validation if you want it. Always starts on a test segment.

Reversible

Writes to a supplemental feed: your primary feed is never modified. Undo/redo, and back to the original state in one click.

Single source of truth

The same enriched data feeds the feed, the Catalog/Video Ads creatives and the landing pages. One data investment, always up to date.

How it works

From your source to Merchant Center, as a supplemental feed.

Deployed without touching your site or your feed manager. Source untouched, complementary to Lengow / Channable, SEO preserved.

01

Connect

Feeds, Ads, scraper, API, CSV plugged into Dataflow.

02

Audit

Quality score on ~40 criteria, prioritized fixes.

03

Transform & enrich

Token-free mapping + targeted GenAI text & visual.

04

Publish

Supplemental feed: Merchant API, Meta, comparison engines, SFTP.

Client results

Measured results, not promises.

Leading brands have turned their product feed quality into media performance with Feed Enrich.

+32%
in ROAS at Feu Vert Spain
−10%
in CPC at Galeries Lafayette
+70
brands activated
+32%
ROAS
−15%
CPC
×25.3
ROI

“Feed Enrich turned our product feed into a real lever for media performance: better CTR, lower CPC and a significant rise in ROAS, driven by more qualified traffic.” Alba Gordillo Lucas · Head of e-commerce & digital marketing

Read the case study
+10%
Impressions
+15%
Clicks
−5%
CPC

“We're getting close to a −10% drop in CPC. That's no small thing when you spend several million euros a year. CTR optimization and lower CPC: it's a double win.” Emmanuel Guillo · Head of E-business

Read the case study
−4%
CPC
+10%
CTR
63,000
products

63,000 1P SKUs optimized with AI + domain expertise: rewritten titles, enriched descriptions, rebuilt product type and cluster segmentation, rolled out after an A/B test on the Garden category.

Read the case study
−3%
CPC
+3%
CTR

Several hundred thousand products enriched at scale (titles, descriptions, visuals), with no rebuild, no extra workload and at constant media budget.

Read the case study
Take action

Ready to publish a feed that performs?

Audit, token-free transformations, orchestration, segmentation and GenAI text & visual. One platform to publish a feed that performs, no IT.

Request your free feed audit Discover the platform

No commitment · No IT work · Source untouched
Channels covered

Built for your Google & Meta channels.

Google

  • ✓Google Merchant Center (+ Merchant Center Next)
  • ✓Shopping Ads
  • ✓Performance Max (PMax)
  • ✓Demand Gen (ex-Discovery)
  • ✓Free Listings / fiches gratuites

Meta

  • ✓Advantage+ Catalog Ads (ex-DPA)
  • ✓Advantage+ Sales / ASC (ex-Advantage+ Shopping)
  • ✓Commerce Manager / catalogue
FAQ

Frequently asked questions

How do you reduce disapproved products in Google Merchant Center?

Dataïads audits your feed across about forty criteria, pinpoints the causes of disapproval (missing attributes, GTIN, policy) and fixes the relevant fields before publishing a supplemental feed, without touching your feed manager.

How do you optimize a product feed for Performance Max?

Performance Max relies on title, attribute and visual quality. Feed Enrich enriches titles, completes Google Merchant Center attributes and generates lifestyle visuals to improve coverage and CTR on PMax and Shopping.

Do you need to replace your feed manager (Lengow, Channable)?

No. Dataïads plugs in as an AI layer on top of your feed manager and publishes an enriched supplemental feed. You keep your existing tool and integrations.