Evertune AI

AI is everywhere in partnership conversations right now. What matters is where those conversations get practical. We’re excited to see Ed Chater, Co-founder and COO of Evertune AI, speaking at the Partner Playbooks 2026 AI Kickoff. As teams figure out how AI fits into modern marketing and partner motions, Ed brings a builder’s point of view shaped by what’s being tested and applied right now. Appreciate Justin Zimmerman and Partnerplaybooks for putting together a lineup focused on real-world application, not hype. 📆 Thursday, January 29 ⏰ 11 am ET If AI is part of your 2026 partnership strategy, this is a great place to spend a few hours. 👉 Save your seat: https://lnkd.in/esHKdmQS

People approach product discovery very differently than AI does. When someone looks for products, they explore. They browse, compare, and adjust based on what catches their attention. AI operates from prior understanding. Rather than exploring the web in the moment, AI assembles responses using sources it already understands and knows how to pull from across search, content, reviews, and commerce. Even when live information is involved, discovery is guided by an existing map of trusted sources and relationships rather than open-ended exploration. That difference matters. It means product discovery is shaped by how clearly products are represented across the sources AI relies on, not only by where attention flows in a given moment. Outcomes depend on recognition, consistency, and context that exist before a question is ever asked. This is why GEO feels meaningfully different from past shifts in search. As product discovery moves into AI, brands influence outcomes by shaping how they are understood across the broader ecosystem, not just by competing for visibility at the interface level. This is where modern discovery is headed, and it’s shaping how brands approach AI-driven product discovery with Evertune. https://lnkd.in/e-NeCTk4 #Ecommerce #MarTech #AISearch #GEO

AI is already influencing how buyers discover brands. What’s catching many teams off guard is how fragile that visibility can be. Generative discovery doesn’t fail loudly. Brands can be investing in content, distribution, and optimization and still struggle to appear consistently or accurately inside AI responses. That gap usually comes from GEO issues that aren’t obvious at first and get harder to fix the longer they go unnoticed. We took a closer look at the most common ones and what it takes to address them at a system level. 👇 If AI-driven discovery is already influencing your buyers, this is worth digging into. #AIsearch #GEO #MarTech

I am slightly embarrassed to say... up until recently, I didn't really know much about AI (outside of ChatGPT). I watched Youtube videos. I started following "guru's". I downloaded prompting guides. Mind you... I've built some serious RevOps and PartnerOps systems. But I still couldn't find my "AI starting point". I felt lost. I felt behind. I couldn't separate the hype from the helpful. Then over the holiday break my fanatical vibe coder friend Joe showed me what AI can really do for partnerships. Forget the ChatGPT web interface. I'm talking about Claude Code, GitHub, and Terminal. I was VERY impressed. It opened my eyes. I then realized... Most of us don't know where to start or which problem to solve 1st. Most of us don't know which models / tools to choose for our programs. Most of us don't know "someone" who can "open the door" and show us. So a lot of us are in the same boat... We feel behind and want to catch up. We know must learn this stuff. But who's really using AI in partnerships?? And who's really getting results?? This is who I want to learn from! So with the help Tyler Calder (CMO PartnerStack) I'm hosting our first webinar of the year, focused on practical uses of AI in partnerships. We're calling it The 2026 AI Playbook Kickoff! Here's the lineup of people we handpicked for you... • Jay McBain: See the state of AI & Partnerships for 2026 • Nancy Mai Harnett: AI-powered affiliate program at HubSpot • Brian Jambor: Head of Partnerships at Synthesia (AI Video) • Guy Yalif: AI search results expert (AEO) at Webflow • Ed Chater: AI powered marketing / content creation at Evertune AI • Alexander J. Buckles: Co-sell automation expert at Forecastable • Scott Murtaugh: x-Reachdesk partner dir turned vibe code expert • Nelson Wang: x-Airtable partner leader turned AI-powered partner consultant • Rob Moyer: x-Gong partner leader turned AI-powered Partner RevOps consultant So if you're feeling "this is your year" to "catch up on AI"... Then this free half-day webinar will kick you off in the right direction! 📆 Thursday, January 29, 2026 ⏰ 8am PT | 11am ET | 5pm CEST 🔗 https://lnkd.in/eubNPUky Signup and we will give you real use cases and simple starting points. Plus, I will send you the recordings + AI transcript summaries. ➡️ PS: I work hard to create events that showcase the best ideas, but also balance men and women speakers. In this case I asked 4 additional female speakers to join the event. But they could not make it or declined. So if you know of any articulate female leaders in partnerships who are implementing AI, comment their names below. I'd love to include them in future events.

Well, that escalated quickly. OpenAI just announced they're testing ads in ChatGPT. Google announced their ad pilot "direct offers" within AI Mode earlier this week. The pattern is classic. Free adoption phase, then monetization. But the timeline here is fast! Just like everything in AI. What I'm wondering... 1. Will user behavior with ads be similar to that of Google Search ads? Does the personal nature of AI responses change interaction with ads? 2. How much of my performance budget will be spent on AI search ads? 3. How long will OpenAI’s ad principles last? (forever, I hope!) Time to think about that test budget.

OpenAI announced they are testing ads today - this is huge news. A few initial observations and thoughts: - Generating revenue from the 90%+ of ChatGPT users who not currently paying subscribers is absolutely massive. This is the inverse of Netflix's move to advertising a few years back, where the small size of the free tier constrained scale and success. - How much context will OpenAI share with advertisers about the consumer's prompt and response? There's a fine line to walk here between privacy/trust and the advertiser's need for precision targeting. - Does OpenAI have the infrastructure needed to prove out ROI, e.g. the plumbing they need to show that their ad generated not just a click, but also a conversion? - Last but not least - will ads in ChatGPT be primarily aimed at driving lower funnel commerce inside the app, or will they help marketers guide consumers outside their four walls? Much more to come as we follow this space!

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Shopping inside AI works very differently than most brands expect. With our launch of Shopping Intelligence, we started pulling back the curtain on how these shopping moments form. When shopping triggers in ChatGPT, the response collapses into a short list of products, a handful of retailers, and pricing that’s part of the recommendation. That dynamic changes how products get discovered, compared, and chosen. Understanding those moments means looking past brand mentions and into how AI decides when to surface shopping, which products qualify, and which retailers show up consistently. Check out our latest article to see Shopping Intelligence up close. 👇 #Ecommerce #MarTech #AISearch #GEO

AI shopping has arrived. So has Evertune Shopping Intelligence. Brands can now see which products and retailers ChatGPT recommends, and how that visibility compares to competitors. Shopping Intelligence turns ChatGPT’s shopping recommendations into something measurable and actionable. Within Evertune’s platform, gain insights on: - Shopping Trigger Rate: How often product searches activate shopping results - Brand Visibility: When you appear vs. competitors in purchase moments - Product & Retailer Insights: Which products ChatGPT recommends and which retailers are featured - Competitive Pricing: See how your products’ pricing compares to competitors, according to AI models. This unlocks a new kind of optimization. You can double down on the products AI already favors, identify content gaps that limit visibility, and strengthen retail partnerships based on real AI-driven discovery, not assumptions. Clear visibility into AI shopping decisions. #Ecommerce #MarTech #AISearch #GEO

Pretty amazing to see screenshots of Evertune AI on the main stage at National Retail Federation's Big Show -- during Jason Goldberg's keynote on agentic commerce. Big moment for us! 📷: Mark Engle