Ivy C., Head of SEO, GEO & Organic Growth at @rubrikInc , joins our /prompted panel during @Techweek_ . With experience building Rubrik’s GEO/AEO program and leading its organic growth strategy, Ivy knows the work behind getting discovered, from the content AI cites to the experience that turns a visitor into a customer. Ivy is our second speaker, joining Jinjin Qian, Chief Business Officer at Fiverr, for a conversation on turning AI Search into a growth channel. We’ll get into the decisions behind the results: where to focus, which changes matter, and how to connect visibility with conversions and revenue. October 8 · 6:30 PM PT · Plant Connection SF partiful.com/e/7V9nHcoY13Nko…

Jinjin Qian, Chief Business Officer at @fiverr , joins the /prompted panel during SF @Techweek_ With experience spanning strategy, finance, and business leadership at Fiverr, Jinjin brings a business perspective to our discussion on turning AI Search into a growth channel. We’ll explore how brands can improve their visibility, understand what influences AI answers, and use attribution to connect customer visits with conversions and revenue. More speaker reveals coming soon. October 8 · 6:30 PM PT · Plant Connection SF Save your spot → partiful.com/e/7V9nHcoY13Nko…

AI Search can bring you more than visibility. It can bring you your next customer. This October, /prompted is coming to San Francisco and Los Angeles as part of @Techweek_ , bringing senior marketing leaders together to explore AI Search as a growth channel. Hosted by Aviv Shamny, Limy's Co-founder and CEO, the conversation will follow the customer journey: how brands get discovered and recommended in AI Search, how that discovery turns into customers, and what it takes to grow the channel. We'll explore: - What drives discovery and recommendations in AI Search - How marketing teams can turn that discovery into customer acquisition - How attribution connects AI-driven traffic to conversions, pipeline, and revenue It's a chance to compare approaches with peers and discuss what building this channel looks like in practice. 📍 San Francisco · October 8 · 6:30 PM PT lnkd.in/d7rUqcS7 📍 Los Angeles, Santa Monica · October 15 · 6:30 PM PT lnkd.in/dVVe3bWD Seats are limited. Reserve yours. #SFTechWeek #LATechWeek

AI agents are already shaping your buyers' shortlists. Is your brand showing up? This October, /prompted is coming to San Francisco and Los Angeles for #SFTechWeek and #LATechWeek, as part of @Techweek_ by a16z We're bringing together senior marketing leaders to focus on what teams need to do now: understand what drives visibility in AI answers, connect traffic from AI to conversions and revenue, and run AI Search as a real revenue channel. Seats are limited. RSVP today. 📍 San Francisco, October 8: lnkd.in/d7rUqcS7 📍 Los Angeles, October 15: lnkd.in/dVVe3bWD In the photo: our NY Tech Week panel with Yana Ernazarova, Gina Lombardo, and Eduardo Barbaro

Your buyers stopped searching and started asking. If you are not in the answer, you do not exist to them. When did you last read what the answer says about you?

We moved our marketing team into the same room as our product and dev teams. We did not run out of space. We ran out of reasons to keep them apart. Marketing is changing fast. It is moving quicker, getting bolder, and becoming more technical than ever. Our product and dev teams are already deeply involved in the day-to-day of marketing. The teams share ideas, solve problems and spend so much time working together that separate rooms simply stopped making sense. So, we made the room match the way we already work. Now, the people who market the product, shape the product, and build the product sit together. They share context, challenge assumptions, and turn ideas into action faster. The future of marketing will not be built by marketing alone. It will be built by marketing, product, and dev working as one. In the photo: our incredible marketing, dev, and product teams, together in one room.

Most marketing leaders are still guessing at AI Search. A few are already turning it into revenue. We’re putting them in the same room. This October, /prompted is coming to San Francisco and Los Angeles for #SFTechWeek and #LATechWeek. Two panels for senior marketing leaders on what it takes to move beyond visibility metrics and turn AI Search into a real revenue channel. Hosted by Limy Founder and CEO Aviv Shamny, the conversations will unpack: - What actually drives visibility in AI answers - How leading teams connect that visibility to pipeline and revenue - How AI Search is already changing marketing strategy, and the role of marketing itself San Francisco · October 8 Los Angeles · October 15 Speakers to be announced. RSVP today. Seats are limited. SF TechWeek: partiful.com/e/7V9nHcoY13Nko… LA TechWeek: partiful.com/e/Q5ioK2wkcRW4I…

One insight. Five times the AI visitors. That is what happens when you can see which of your pages the models are actually reading, instead of guessing. Do you know which of yours they read most? limy.ai/case-studies/cloudzo…

Your brand showed up in ChatGPT. That's one answer, not a pattern. Here's a practical starting protocol: 3 AI tools × 5 fixed versions of the same buying question × 7 days = 105 observations 105 isn't a magic number or an industry standard. It's a way to test the three variables most teams ignore: tool, wording, and time. Before day 1: - Freeze the prompts and testing conditions. - Define what "mentioned," "recommended," and "accurate" mean. - Preserve every raw answer. - Report each tool separately. - Disclose failed runs. No mystery score, no cherry-picked screenshot. One answer is a moment. The pattern is what you can act on. Run the other 104 before you trust the first one.

Last time you checked how your brand shows up in AI, what did you actually look at? How often you appear, or where you rank in the answer? Most people only ever check one.

Being the biggest name in your category used to carry weight everywhere. Direct traffic and word of mouth followed your size, no extra work required. In AI search, none of that transfers automatically. Ask the model who leads your category. Did it say you?

X published exactly how it ranks posts. Every weight, every action, all public. Copying a link and pasting it elsewhere is weighted 20 times higher than a repost. Photos and video barely register on their own. Nobody has done that for how ChatGPT or Google AI Overview pick what to cite. You're optimizing for a system that won't show you its work.

Half the AI search advice on here describes something that does not exist in any documentation anywhere. The other half is llms.txt. What is the worst advice you have seen?

Google shows you what people typed into Google. Nothing shows you what they typed into ChatGPT. What would you do first if you could see those questions tomorrow?

Ask ChatGPT and Gemini the same question about your category. You can come first in one and not show up at all in the other. Same brand. Same week. Most teams check one and call it their AI visibility. It is really four different answers, and they often disagree. When you win on one and lose on another, that is good news. It means your content is fine. That one engine just prefers a different kind of source for that topic. Usually you can work out why in an afternoon. Which one do you actually check?

Adding an llms.txt file will not fix your AI visibility. It does not block anything, and companies like OpenAI, Google, and Anthropic never agreed to read it. What is the most oversold fix you have been offered?

You can be number one in your industry and number eleven in the AI answer. Only one of those is what your buyer sees. Have you checked where you come up for your own category?

Your AI Assistant row in Google Analytics is not your AI traffic. Read Google's own definition. The channel excludes AI Overviews and AI Mode. Google's own AI answers get counted as organic search instead. Google names five examples and says sources like, not sources are. The list it actually matches against is never published, so you cannot check what is in it or when it changes. So the row that looks like your AI traffic leaves out the biggest AI surface on the internet, and will not tell you what else it leaves out. Whatever number you see there, it is a floor, not a total. What does your AI Assistant row say? support.google.com/analytics…

X made its ranking algorithm public. One line in it explains something we argue about all the time in AI search. X does not count your likes. It guesses how likely you are to like a post, then scores the post on that guess. ChatGPT picks its sources the same way. It does not count how many times a brand gets mentioned. It guesses which source is the best answer to that one question. So being talked about a lot is not the same as being picked. Two different things. The biggest brand in a category can be missing from the answer completely. We see it every week. What number does your team trust that it probably should not?

What does your brand look like to an AI agent? Most #AISearch talks are slides and predictions. This one isn't. On June 30, Limy CEO @ShamnyAviv shows it live: brands you know, the real Limy data behind each, and the Agent-Led Growth playbook. You'll see who the agent picks, who it skips, and why. Join us for the full motion for winning AI Search. lnkd.in/gGrAPYQC