Whether it’s 10 blue links or an LLM response—if you’re not visible where your customers are searching, you don’t exist.
Serverless real-time analytics platform Tinybird uses Scrunch to make sure it’s showing up in AI search for the prompts and people that matter most.
“What I need in an AI search platform: one place to monitor how Tinybird is performing across AI platforms, one place to surface insights to beat competitors and gain share of voice, and one place to build a strategy and take action on those opportunities. Scrunch gives me all of that and more.”
—Cameron Archer, Head of Growth, Tinybird
Welcome to your blind spot
Cameron Archer, Head of Growth at Tinybird, built his career on technical content and SEO.
Now he’s betting his career on AI search.
Brands have long chased clicks from traditional search engines—with the blue link at the top of the SERP (right under the ads, the YouTube videos, the “People also ask” dropdown, and, now, the AI overview) being the most prized real estate.
You could feel confident that you were reaching the right audience (developers who want to build real-time data products, in Cameron’s case) based on SERP rankings and website traffic.
But AI search is a different beast.
When organic search clicks started to dip, Cameron had practically zero visibility into whether Tinybird was showing up in LLM responses at all—let alone how to improve his brand’s presence across platforms.
That’s where Scrunch comes in.
“Scrunch is easier to use and has richer features than other platforms. With some vendors, you constantly have to Slack their support team to ask for basic feature functionality. Scrunch is constantly shipping new features that are really valuable to me.”
—Cameron Archer, Head of Growth, Tinybird
Data is cheap, insights are everything
There are certain core prompts—especially those related to commercial intent around deploying, managing, and hosting a technology like Tinybird’s—that Cameron aims to show up for 100% of the time.
To do that, he needs to understand his brand’s share of voice for high-intent AI searches—and his competitors’.
Today Cameron can easily:
✅ Benchmark and track how Tinybird performs for specific prompts and prompt variants.
✅ Filter prompt results based on personas, LLM models, and geographic regions.
✅ Compare and contrast performance with competitors across different prompts.
But monitoring is only part of the puzzle.
Cameron also needs the “why” behind the “what” to develop an actionable strategy.
That includes context for where AI platforms are getting their information—the domains and pieces of content that are constantly cited for can’t-lose prompts.
Scrunch gives Cameron insights into:
Cited sites
Which websites AI platforms are regularly citing in response to specific prompts.
Content recommendations
Low-hanging content opportunities that will boost Tinybird’s AI search presence.
Page performance & error detection
Which webpages on Tinybird’s site get the most love for certain prompts. Potential on-site errors preventing AI agents from consuming Tinybird’s content.
This intelligence helps Cameron guide Tinybird’s content development, from what it creates to where it’s distributed.
“There was another tool we were using for AI content generation that introduced an AEO component. We were like, ‘Hey, maybe we can just use one tool for all of this stuff,’ but their features were so far behind where Scrunch is. It was like, ‘No, we need to renew with Scrunch ASAP. This isn’t even close.’”
—Cameron Archer, Head of Growth, Tinybird
Low-hanging fruit tastes the sweetest
Insights from Scrunch helped Cameron create a two-pronged approach to AEO:
1️⃣ Publish content on the channels that are regularly being cited by AI platforms
2️⃣ Create content better designed for AI agent consumption
For example, improving Tinybird’s Reddit presence was a low-effort, high-impact way to increase brand mentions in AI search.
His team is prioritizing finding developer-centric subreddits, identifying relevant conversations, and chiming in with helpful info about Tinybird and its product when it makes sense.
At the same time, the team is using generative AI to produce human-reviewed content aimed at core and long-tail prompts where Tinybird has performance gaps.
“At the end of the day, monitoring AI responses is a commodity. What matters is how you take that data and mine it for insights and opportunities to build on top of the core dataset. That’s the part that matters to me—and that’s the part that Scrunch is doing really well.”
—Cameron Archer, Head of Growth, Tinybird
Compounding effects compound fast in AI
Like everybody navigating the shift to an AI-first customer journey, Cameron is still in the early innings of AI search optimization for Tinybird, but he’s already seeing positive results.
With help from Scrunch, Tinybird’s share of voice for core, non-branded prompts has increased by almost 3x (from 11% to 32%).
Cameron’s also seeing the results in terms of new sessions from website visitors to the tune of a 370% increase in web traffic from LLMs over the past 3 months.
Tinybird has a product-led business model. The goal is to make it as easy as possible for customers to sign up and test out its product right away.
By tracking sessions from ChatGPT, Claude, and other AI platforms, Cameron is seeing firsthand how making it easier for people to discover and learn about Tinybird via AI search also makes it easier for them to start using it.
“Go to other vendors’ websites and every H1 is a promise to help you rank No. 1 in ChatGPT or something, but that’s not really the case. All they can do is show you how you’re already showing up. Scrunch is the platform that actually helps you take the next step.”
—Cameron Archer, Head of Growth, Tinybird
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