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"What do startup CTOs search for on Google?" Google - doesn't provide good answers OpenAI - wordy, unverifiable, too broad, no volume data, not useful SEMRush/Ahrefs/Moz - gives you KWs related to "startup CTO" (which isn't quite the same thing) But... 👇👇👇

Rand Fishkin (follow @randderuiter on Threads)

463,585 subscribers

14,747 次观看 • 2 年前 •via X (Twitter)

科学技术教育

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11 条评论

Anand Dugar, MD 的头像

Anand Dugar, MD2 年前

Do you do any 1:1 consultation?

Noah Kain | SEO Consultant 🔎 的头像

Noah Kain | SEO Consultant 🔎2 年前

Incredible feature! Pumped to use this

I am 的头像

I am2 年前

Hi Rand! Long time follower here (since moz times). How it works?

SpyQueries 的头像

SpyQueries2 年前

Fascinating insights, @randfish! It does seem like there's a gap in the market for deep, authentic search queries. I wonder if a tool that combines the specificity of SEMRush/Moz with the broad understanding of OpenAI would do the trick?

Steven B. Reid 的头像

Steven B. Reid2 年前

Wonderful feature! Let's stay ahead of the curve together!

Will Critchlow 的头像

Will Critchlow2 年前

this is super cool. When does v2 come out?

Rand Fishkin (follow @randderuiter on Threads) 的头像

Rand Fishkin (follow @randderuiter on Threads)2 年前

It's in beta now: Public launch is (hopefully) early April

Valentin Pletzer 的头像

Valentin Pletzer2 年前

impressive!

Miguel Salcido 的头像

Miguel Salcido2 年前

This solves a very real problem people are facing. But are the terms just pulled from their bios or from other places? And are they pulling from mulitple bios on various sites (LinkedIn, X, etc.)? Just wondering where the data is coming from exactly.

brik.dm 的头像

brik.dm2 年前

Seems I don't have access to v2 :(

Rand Fishkin (follow @randderuiter on Threads) 的头像

Rand Fishkin (follow @randderuiter on Threads)2 年前

If you have a paid account, there's a banner across the top of the screen that will take you there!

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Patrick OShaughnessy

47,449 次观看 • 6 个月前

WARP SPEED: EPISODE 5 - starring Varunram Ganesh, Founder of Lapis Varunram Ganesh The next generation of 20 year olds are going to default to LLMs for search. Varun is building Lapis into the most accurate AI search analytics platform. They are part of Y Combinator F25 - 1 day away from demo day with a countdown clock on his desk. The insight: people are already defaulting to ChatGPT over Google. As time goes on, more leveraged decisions get made through LLMs, not search engines. "So many people are searching on Google, they're going to be searching on ChatGPT. Why aren't people knowing where they are on ChatGPT?" Lapis tells you exactly what a human will search for your website to show up in AI. And unlike Google, it's not about ranking positions - LLMs reason differently. On Warp: "I don't even think about payroll. Which is just to say Warp is such a good product that I just don't think about it. No spam emails. No upsells. It's just so smooth." In this conversation: (0:00) - Shift from Google-style search to LLMs: “More leveraged decisions are now made through the LLM.” (0:15) - What Lapis does: the most accurate AI search analytics platform. (1:15) - YC intensity: six weeks from Demo Day, rapid feedback loops, constant customer conversations. (2:00) - “The hardest part of running a startup is the most boring stuff.” (2:41) - How AI search differs from Google search. (3:23) - Building a company through trust. (3:51) - “Every founder said, ‘Check out Gabriella Warp - a genuinely friendly solution. (4:02) - Big providers needed six weeks just to get set up. (4:20) - Texted Ayush and got set up in 15 minutes. (4:25) - Warp is so smooth you don’t think about payroll — no spam emails, no upsells, just seamless.

WARP SPEED: EPISODE 5 - starring Varunram Ganesh, Founder of Lapis Varunram Ganesh The next generation of 20 year olds are going to default to LLMs for search. Varun is building Lapis into the most accurate AI search analytics platform. They are part of Y Combinator F25 - 1 day away from demo day with a countdown clock on his desk. The insight: people are already defaulting to ChatGPT over Google. As time goes on, more leveraged decisions get made through LLMs, not search engines. "So many people are searching on Google, they're going to be searching on ChatGPT. Why aren't people knowing where they are on ChatGPT?" Lapis tells you exactly what a human will search for your website to show up in AI. And unlike Google, it's not about ranking positions - LLMs reason differently. On Warp: "I don't even think about payroll. Which is just to say Warp is such a good product that I just don't think about it. No spam emails. No upsells. It's just so smooth." In this conversation: (0:00) - Shift from Google-style search to LLMs: “More leveraged decisions are now made through the LLM.” (0:15) - What Lapis does: the most accurate AI search analytics platform. (1:15) - YC intensity: six weeks from Demo Day, rapid feedback loops, constant customer conversations. (2:00) - “The hardest part of running a startup is the most boring stuff.” (2:41) - How AI search differs from Google search. (3:23) - Building a company through trust. (3:51) - “Every founder said, ‘Check out Gabriella Warp - a genuinely friendly solution. (4:02) - Big providers needed six weeks just to get set up. (4:20) - Texted Ayush and got set up in 15 minutes. (4:25) - Warp is so smooth you don’t think about payroll — no spam emails, no upsells, just seamless.

Ayush S

56,114 次观看 • 8 个月前

The Biggest Opportunity in Consumer AI: Google Going Full OpenClaw David Sacks: “Google is going to compete very vigorously for the consumer because it is existential to them. It's very clear that search and AI chat are kind of merging into one space. I also think that Google is in an outstanding position to do the whole OpenClaw thing because they already have access to your calendar, your documents, your email. The agent doesn't really have to earn your trust because you already trust Google with all of your stuff.” Chamath Palihapitiya: “They're the only one that has so much free cash flow that they can almost view it as two separate companies, which it effectively is. GCP over here runs the enterprise play, and then Google Consumer over here runs the consumer chatbot play. And they can keep them segregated. That's so much harder for a startup to do because on top of just keeping everybody organized, you have the financing problem of constantly having to raise more money because you don't yet have a profit engine that spits out cash. They're probably the only one. And you can see it in the valuations. People believe the durability of Google more than they believe the durability of anything else.” @jason: “Google has announced Google Workspace Studio to do AI automation, and people are playing with it already. So they have joined the OpenClaw party.”

The Biggest Opportunity in Consumer AI: Google Going Full OpenClaw David Sacks: “Google is going to compete very vigorously for the consumer because it is existential to them. It's very clear that search and AI chat are kind of merging into one space. I also think that Google is in an outstanding position to do the whole OpenClaw thing because they already have access to your calendar, your documents, your email. The agent doesn't really have to earn your trust because you already trust Google with all of your stuff.” Chamath Palihapitiya: “They're the only one that has so much free cash flow that they can almost view it as two separate companies, which it effectively is. GCP over here runs the enterprise play, and then Google Consumer over here runs the consumer chatbot play. And they can keep them segregated. That's so much harder for a startup to do because on top of just keeping everybody organized, you have the financing problem of constantly having to raise more money because you don't yet have a profit engine that spits out cash. They're probably the only one. And you can see it in the valuations. People believe the durability of Google more than they believe the durability of anything else.” @jason: “Google has announced Google Workspace Studio to do AI automation, and people are playing with it already. So they have joined the OpenClaw party.”

The All-In Podcast

75,225 次观看 • 4 个月前