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, then connects it to live commerce signals, so you know where you're losing and what to do about it.
Our Clients
How we help
AI is changing how shoppers discover and choose products. GEO and AEO are how brands earn a spot in AI-generated answers instead of getting left out. But knowing you need to show up is one thing. Knowing exactly where you're falling short, and what to do about it, is another.
That's where IV.AI comes in. We query AI models at scale, across thousands of prompts, categories, and retailer contexts, then connect those outputs to live commerce signals.
We close the loop from spotting the gap to moving the needle.
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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 across ChatGPT, Perplexity, Gemini, and AI Overviews, week over week. Get alerted when price and AI recommendation start to diverge, and catch shifts before they impact revenue.
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Shift: Change the Narrative AI Tells
Act on the changes most likely to shift recommendation share. See the language AI already gives your competitors, then close the gap and own the narrative.
What markes out AI tools unique?
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Commerce + GEO in One Layer
Most GEO tools track brand mentions in AI. None connect it to what's actually happening in commerce. IV.AI is the only platform mapping AI recommendation share against live price, promo, availability, and other competitive signals.
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Model-by-Model Tracking
Track recommendation share, rank, and narrative themes across ChatGPT, Perplexity, Gemini, and AI Overviews. Get anomaly alerts before shifts hit revenue, at scale.
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Pre-Packaged Datasets
Four ready-to-use datasets: AI Recommendation Share, Price-to-Recommendation Gap, Merchant and Brand GEO Performance, and Commerce Intent Signal. Each answers a question competitors can't, because they don't 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 becomes action without 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.
Skip the sales meeting
Use your time with us to workshop where AI can reveal what matters most to your business.