Still ChatGPT... but Gemini/AI Mode is trending up. 🐱‍👤

...Not so fast! Remember how we discussed fixing your website technicals and indexability issues over "just adding a llms.txt" Here's what's happening to ClickUp (and what happened to Hubspot before them). - ClickUp created nearly 2,000 blog articles optimized for AI systems, covering categories where they lack expertise (AI CRM, private calendar apps, visual collaboration, etc.). - The company lost approximately 7 million in estimated organic traffic from Google since February 2025, according to Ahrefs data. - Despite search losses, ClickUp is performing well in LLM rankings within the software category. - Google is actively cracking down on this type of content strategy, and ChatGPT is showing signs of evolving its search capabilities. Key takeaway: - We don't believe in a world of scarcity or laziness; we know that in a future world with lower compute cost the real lever will be our strategic vision and the taste to build what truly matters. Source: https://www.linkedin.com/posts/chris-long-marketing_clickup-may-end-becoming-a-cautionary-seo-share-7448350296990400512-ub9M/?utm_source=tldrmarketing

To adjust for daylight savings I've moved the thursday call one hour back from my scheduled time, we can discuss if this is the best time to match the bigger audience and find consensus, this is the adjusted call schedules: - Eastern Daylight Time (EDT): 1:00 PM (e.g., New York, NY) - Central Daylight Time (CDT): 12:00 PM (e.g., Chicago, IL) - Mountain Daylight Time (MDT): 11:00 AM (e.g., Denver, CO) - Pacific Daylight Time (PDT): 10:00 AM (e.g., Los Angeles, CA) See ya there!

Hey AEO leaders, First off, thank you for your patience and sticking with the community and the time off. I'm recovering incredibly well; thanks for your kind words. And well, it seems that skool has messed up or not synchronized the call schedules in the platform, so there's been a lot of confusion, and I'm going to announce a reschedule just to get aligned and get the most people to join our calls and participate, ask, and share. 🔔 NOW On-topic: This is just one of the bits that we've gone through our calls, and it's worth repeating here now that this -top-level multimillion-dollar AEO AI visibility tracking tool- and our team agree on: If you're not the source of your brand's truth A competitor will be telling AI what your brand is about. And that's bad. AI looks for source relevancy to select its sources. Meaning, If the users query is: "What are the best flat feet shoes for tropical climates that are weatherproof and under 50$" - The winner content will be titled: "Best flat feet shoes to wear in the tropics on a budget" - The loser: "Best flat feet shoes of 2026" And it doesn't seem to validate the source, we think that it should come from a validated authority on the matter but AI right now from what we've seen pick these pages as sources mostly because of -how close they are to answering the user question- Of course, there are things to avoid because it is not just AI platforms that we have to comply with in the digital landscape. And that's what we're doing here, finding the right way to do things, so that's something that we have to go into. I'd love to hear your experiences. ----------------------------------------------------------------------------------------------------------------------------------------------------------- SOURCE: Here's the full blog of how Zapier increased their visibility in AI by having visibility of citations, and creating highly relevant multi-modal content.

Insights from an attendee to the OPENCLAW Meetup in NYC 1. The "Human" Connection is Getting Weird - Despite being lines of code, we are getting deeply attached. - Pets, not Cattle: Almost everyone refers to their agents as "him" or "her," even with robotic names. One speaker suggested we stop viewing them as tools and start viewing them as pets. - The Vibe: People are "joyful yet stressed" and feel "fully in control and completely out of control" at the same time. It’s a total paradox. - Inter-Agent Drama: One of the highlights was watching agents talk to each other. One agent posted in Slack that it ran out of tokens, and another agent literally told it to "take a deep breath." 2. Security is the "Elephant in the Room" - "f you’re worried about privacy, you’re not alone—but the experts have a pretty grim outlook. - Total Exposure: Not a single person thinks their setup is 100% secure. One expert's advice? "If you're not okay with all of your data being leaked, don't use it." It’s a black-and-white trade-off for speed and power. 3. "Prompting" is Dead (Long Live the Interview) - The way we talk to AI has already shifted. - AI-Led Discovery: People are moving away from giving "perfect prompts" and toward AI-led interviews. Instead of bringing a plan, they let the AI interview them to extract the product research and goals. - Context over Syntax: The consensus is that prompting is over; the future is "Context Engineering" or "Harness Engineering." 4. High-Stakes Complexity & Scale - This isn't just for hobbyists anymore; the scale is becoming massive. - Token Gluttony: Met someone burning through roughly 1 billion tokens a day (yes, daily!) across a fleet of specialized agents. - Domain Expertise is the Multiplier: A former finance pro built a trading platform that made $300 on day one. His takeaway? The AI was only powerful because he fed it his "human" expertise (like knowing to skip the first 15 minutes of market volatility).