Swipe for a quick look at what we've been building lately 👀 A few recent drops: → Visibility AI → Shopper profile enhancements → Enhanced email previewing We're going deeper at Beyond the Message on April 29, including a first look at what's coming next. If you want to see where this is all headed, save your spot → https://lnkd.in/gkYz4jRk
We love to see it 👏🏻
So many good things!
💼 Cross-selling and upselling identified automatically. AI analyses customer data—suggesting relevant additional products and optimal timing. Maximise account value: https://lnkd.in/eEmXj6qg #CrossSelling #AccountGrowth #AIinBusiness
5 Ways to Get Your New Brand Into AI Search Results https://lnkd.in/eB-JMAPm From tech chaos to business clarity — we have you covered. https://lnkd.in/dKkcH7Sg
5 Ways to Get Your New Brand Into AI Search Results https://lnkd.in/eB-JMAPm From tech chaos to business clarity — we have you covered. https://lnkd.in/dKkcH7Sg
Manual competitor monitoring is dead. You visit websites, read reviews by hand, track pricing in spreadsheets. By the time you notice a shift, your competitor already moved. AI flips this entirely. The intelligence-to-action cycle with AI looks like: - Collect data from dozens of sources automatically - Analyze patterns -- what changed, what held steady - Synthesize into competitive positioning insights - Act before competitors even see the trend One business owner automated competitor tracking. Same market. Same data. Just faster analysis. Result: spotted a pricing gap weeks before anyone else. What market signals are you missing right now? Free lesson: https://lnkd.in/ePGiq7p4 #SmallBusinessAI #BusinessGrowth #AIStrategy #AIForBusiness #SmallBusinessAI #BusinessGrowth #AIStrategy #AIForBusiness https://lnkd.in/ePGiq7p4
When an LLM answers a shopper's question, it’s only as good as the data it can find. If your product data is incomplete, inconsistent, or outdated, AI will still generate an answer. It just might not be the right one. 58% of shoppers say their trust decreases in the brand when AI provides incorrect product information. Learn more in our recent report 👉 https://lnkd.in/gWiEavak
This is the operational risk hiding inside every AI deployment that skips the data governance step. The model performs exactly as designed. The problem is the data it was given to work with was never governed, validated, or maintained to the standard the customer experience requires. 58% of shoppers lose trust when AI gets it wrong. That is not a technology failure. That is an infrastructure failure. Rithum is identifying exactly where the gap lives — between what the data says and what the customer actually needs to hear. For 40,000+ brands and retailers operating at that scale, the cost of that gap is not theoretical. Build the data infrastructure first. Then deploy the intelligence. #OperationalExcellence #RiskManagement #OperationsLeadership
When an LLM answers a shopper's question, it’s only as good as the data it can find. If your product data is incomplete, inconsistent, or outdated, AI will still generate an answer. It just might not be the right one. 58% of shoppers say their trust decreases in the brand when AI provides incorrect product information. Learn more in our recent report 👉 https://lnkd.in/gWiEavak
In some ways, retailers and brands know more about shoppers than ever. Certainly, there is more data on hand to guide the key decisions to give shoppers what they want, when they want it, which is the shared goal for all. But how do we get there? In “How Full-Cycle Analysis Paired with Action Delivers the Perfect Shelf Every Time,” the experts at Crisp tackle the question and offer a four-part plan. Read on the full, thought-provoking analysis, but we’ll share one of the ideas here: AI agents can, and should, play a big part in your shelf optimization plans. Now that’s AI we can get behind. Read the full feature here: https://lnkd.in/gsqupi_b #CategoryManagement #CPG #RetailTech #AIinRetail #DataAnalytics #ShelfManagement #PerfectShelf
There's a version of your website that AI search platforms see. But it might not be the one you intended. Next Tuesday, Rory Grant and Joel G Goodman are breaking down what makes AI search platforms skip or misrepresent brands, and what you need to do to avoid that. Join us to dive into this and get a practical fix list you can use straight away. 📅 Tuesday 28th April ⏰ 11:00 AM AEST | 01:00 PM NZST 👉 We have less than a week to go, so save your spot now: https://lnkd.in/gPx_A5d4 #AISearch #ContentIntelligence #DigitalExperience
AI search is reshaping brand discovery and most brands don't even know they're invisible. If your audience is searching on ChatGPT , Perplexity , or Google's AI Overviews and you're not showing up, you're already behind. This AI Readiness Audit is exactly the kind of tool every marketer needs right now. Are you showing up where it matters? 👇
AI search is already changing how consumers discover brands. Are you showing up? Our AI Readiness Audit helps you evaluate your visibility across AI-driven platforms and identify what to fix before your competitors do. Learn more about it here 👉 https://lnkd.in/ge2vnviC
And the brands that wait will feel it first. I’m seeing ecommerce teams assume this is still experimental, but the buying journey is already shifting. AI platforms are becoming a place where product discovery starts, and that changes what “being found” means. If shoppers can ask an AI for the best option, the cheapest option, or the right fit, then your product pages alone are not enough. The brands that prepare now will have a better shot at being recommended by name instead of being buried behind links. That’s the real shift: visibility is moving from search results to AI answers. If someone asked an AI assistant for your category right now, would your brand be one of the first three products it confidently mentioned? #aiecomm #ecommercemarketing
Better shopper profiles make the AI parts much less fluffy