Citarra for ecommerce

Own the shelf inside every AI answer.

See which products AI recommends, why competitors win, and which sources shape purchase decisions before shoppers reach your store.

Recommendation intelligenceFrom product question to evidence.
Recommendation viewIllustrative sample

What are the best running shoes for flat feet?

01Competitor A8 of 10
02Your product4 of 10
03Competitor B3 of 10

The new discovery journey

AI recommendations are becoming the first shelf.

Shoppers ask broad, need-based questions before they know which product or retailer to visit. Citarra shows how your assortment appears in those answers and keeps the evidence behind every result.

Products

Measure individual products and variants, not only the parent brand.

Sources

Trace the retailers, publishers, communities, and reviews shaping the answer.

Markets

Compare recommendations across engines, countries, languages, and availability.

Find where your products disappear.

Track the questions that define a category and see whether AI recommends the right product for the right need.

Buyer question trackingMonitor category, comparison, and need-based questions.
SKU and product entitiesSeparate brands, products, and variants.
Price and availabilityCapture the commercial details used in comparisons.
Product attribute extractionIdentify features, materials, sizes, and use cases.
Visibility by recommendationIllustrative sample
01Competitor AVisible
02Your productOpportunity
03Competitor BVisible

See what earns the recommendation.

Open the answer, inspect recurring citations, and understand the evidence supporting competing products.

Engine comparisonSeparate ChatGPT, Perplexity, and Google AI.
Raw answer historyKeep the exact response behind every result.
Cited source analysisFind the domains that repeatedly influence discovery.
Retail source classificationSeparate merchants, marketplaces, editorial, reviews, and communities.
Shopping surface trackingMeasure recommendations on shopping-specific AI surfaces.
Sources shaping this answerIllustrative sample
Specialist publisherEditorial source
Recurring
Industry communityPeer discussion
Recurring
Comparison pageEvaluation source
Growing
Your websiteBrand owned
Gap

Turn recurring gaps into action.

Bring product data into the same workflow, prioritize recurring gaps, and see what changes after your team acts.

Catalog and feed importConnect structured ecommerce product data.
Country and language segmentsCompare regional recommendations and availability.
Experiment logRecord content, feed, and source improvements.
Change trackingReview movement across linked questions and sources.
Priority actionsIllustrative sample
Close a recurring source gapConnected to several tracked questions
Sources
Correct missing product contextReview the exact answer and evidence
Content
Measure the next runCompare change by engine and question
Track

Questions worth tracking

Start with the questions that shape the cart.

Build your baseline around real buyer intent, from broad discovery to direct comparisons.

01Best running shoes for flat feet
02Best moisturizer for sensitive skin
03Product A vs Product B
04Best laptop for a student under $1,000
05Which brand makes the most durable luggage?

See your market clearly

Find the product questions where competitors win.

Run a baseline across the AI engines and inspect the products, answers, and sources shaping each recommendation.