Generative Engine Optimization
Are You in the AI Answers?
AI is changing how shoppers find products. IV.AI tracks recommendation share across ChatGPT, Perplexity, Gemini, and Google AI Overviews - connected to live commerce signals so you know where you're losing and what to do about it.
Trusted by teams shaping the media industry
How we help
AI is changing how shoppers discover and choose products. GEO (Generative Engine Optimization) is the practice of ensuring your brand appears in AI-generated answers across ChatGPT, Perplexity, Gemini, and Google AI Overviews, while AEO (Answer Engine Optimization) is the broader discipline of making sure your brand is the answer any AI or search engine surfaces when a shopper asks a relevant question.
IV.AI can help by querying AI models at scale across hundreds of thousands of prompts, categories, keywords, and retailer contexts, customized to you and connecting those outputs to live commerce signals. We close the loop from spotting the gap in AI to moving the needle in the market.
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Identify: See the Full Picture Others Miss
Discover which products and brands are winning AI recommendation share by model, category, and keyword. See where AI outputs are misaligned with real pricing, availability, and promo signals. Uncover the narrative themes driving competitor visibility that your brand is not reinforcing.
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Track: Measure What Moves, Week on Week
Monitor recommendation share by SKU and brand over time across ChatGPT, Perplexity, Gemini, and AI Overviews. Get price-to-recommendation gap alerts when AI recommendation and market competitiveness diverge. Catch competitive rank movement, narrative theme shifts, and anomalies before they impact revenue.
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Shift: Change the Narrative AI Tells
Act on guided content, listing, and merchant recommendations most likely to move recommendation share. IV can provide you with the signals to close narrative gaps using the specific language AI associates with competitors that you can own. Scissors delivers no-code action recommendations directly to commerce, brand, and retail media teams.
What markes out AI tools unique?
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Commerce + GEO in One Layer
Every other GEO tool tracks brand mentions in AI. None connect it to what is actually happening in commerce. IV.AI is the only platform that maps AI recommendation share against live price, promo, availability, and other competitive intelligence signals.
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Model-by-Model Tracking
Recommendation share, rank position, and narrative themes tracked over time across ChatGPT, Perplexity, Gemini, and AI Overviews, with anomaly detection before shifts impact revenue. At scale.
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Pre-Packaged Datasets
The AI Recommendation Share Feed, Price-to-Recommendation Gap Dataset, Merchant and Brand GEO Performance Dataset, and Commerce Intent Signal Dataset, each answering a question competitors cannot because they do not have commerce data
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No-Code Action Layer
Scissors delivers AI-powered recommendations to non-technical teams across brand, eCommerce, and retail media, so insight translates directly into action without requiring a technical build.
Sample datasets
Pre-packaged datasets so you can take action immediately. Each answers a question your competitors cannot, because they do not have commerce data.
AI Recommendation Share Feed
For brand strategy and competitive intel. Brand and SKU recommendation frequency by model, rank position in AI answers, change over time, and competitor comparison by category, keyword, and retailer, updated continuously.
Price-to-Recommendation Gap Dataset
For revenue and pricing teams. AI recommendation share mapped against live price, promo status, and availability. See exactly where AI is sending shoppers to the wrong product.
Merchant and Brand GEO Performance Dataset
For retail media and partner teams. AI visibility by brand and merchant, winners and losers by category, narrative themes driving recommendation share, and optimisation opportunities ranked by likely impact.
Commerce Intent Signal Dataset
For publishers, affiliate, and commerce media teams. Products with rising shopper intent, products overperforming in AI outputs versus market position, and the intelligence retail media teams need to pitch the right inventory.
None of the above?
We can customize any dataset to fit your needs.
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