Think about your own work or business in this area: the product is the world's first and most popular tool for Generative Engine Optimization (GEO). What is the single biggest problem you have there right now? Be specific about what it costs you (time, money, customers) and what you have already tried.

Lyle Hellernegative

The biggest problem I face right now is the sheer time commitment and potential for human error in my manual GEO spot-checks. I spend hours each week meticulously logging brand mentions, cited URLs, and query variants across ChatGPT, Perplexity, and Google AI Overviews for eight clients. This is a critical but tedious task. I've tried standardizing my spreadsheets, but it doesn't fully mitigate the risk of overlooking something or misinterpreting data, which could impact reporting accuracy. It's a significant drain on my time, which could be better spent on strategy or client acquisition. The cost is primarily in my own billable hours – time I'm not directly invoicing for that specific task, but it's part of the service I'm providing.

Simulated interest: 70/100

Rosa Morarnegative

The biggest problem is the sheer manual effort involved. My team spends hours each week manually checking AI results, logging data into a spreadsheet. It's a time sink, easily costing us 10-15 hours collectively per week, which is significant when you're a small team. We've tried browser extensions, but they don't capture the nuances of source attribution or snippet generation accurately. Frankly, I'm skeptical about 'world's first' claims; we need to see proof this is better than our current, albeit tedious, system.

Simulated interest: 20/100

Ekaaksh Menonnegative

The biggest problem is the sheer manual effort involved. My team of six, specifically two people, spend hours each week compiling data from ChatGPT, Perplexity, and Gemini into Excel for client visibility reports. This is critical for demonstrating our value, but it's incredibly time-consuming and prone to errors. We've tried standardizing our data collection process, but the platforms themselves are so dynamic. It's a bottleneck for growth, taking away from strategic work, and honestly, it's frustrating to know we're investing in tools like Semrush but still have this manual process. I haven't even considered the cost of a tool like this until now.

Simulated interest: 50/100

Mirja Plautznegative

The biggest problem for me right now is the sheer amount of manual work involved in comparing AI search results across markets. It takes hours each week to set up searches, document them in Airtable with screenshots and citations, and then analyze the differences. This time could be better spent on strategy or deeper analysis. We currently rely on free browser tools and spreadsheets, which is effective but incredibly time-consuming. I'm not sure if a dedicated tool would be faster or just add another layer of complexity, and honestly, the cost of such specialized tools is a significant consideration given our lean approach.

Simulated interest: 20/100

Lorenzo Bruennegative

The single biggest problem is the manual process of tracking mentions of our category pages across AI assistants. It takes significant time for my team to manually prompt these tools, capture screenshots, and then compile that data. Frankly, it feels like a huge time sink, potentially costing us 10-15 hours a week across the team. We've tried standardizing prompts, but the variability in AI responses makes it unreliable. I'm always looking for more efficient ways to get this data without sacrificing accuracy. We need to know where we stand in that evolving landscape.

Simulated interest: 60/100

Dora Abernathynegative

The biggest problem right now is simply the time it takes. I'm doing these GEO checks manually using ChatGPT and Perplexity, then copy-pasting everything into a spreadsheet. It’s a bit of a faff, and honestly, it eats up hours I could be spending on actual client strategy or prospecting. I've tried refining my prompts to make the data extraction cleaner, but it’s still a manual process. I haven't quantified the exact cost in pounds and pence, but it’s definitely time that could be better allocated elsewhere.

Simulated interest: 20/100

Dhananjay Ahujaneutral

The single biggest problem I face is accurately measuring the impact of AI-driven brand visibility. My current process involves a lot of manual work – weekly prompt crafting, managing browser profiles, and spreadsheet consolidation. It's incredibly time-consuming, easily taking up a good chunk of my week, which translates to lost productivity. I've tried standardizing prompts and creating templates, but the AI landscape changes so fast, it feels like a constant catch-up game. I'm also concerned about missing subtle negative mentions or opportunities we could be acting on.

Simulated interest: 70/100

Livia Aalbersnegative

The biggest problem for us right now is definitely the manual extraction of Generative Engine Optimization (GEO) examples. I spend a significant chunk of my day sifting through AI outputs and copying them into Notion for the strategists. It's a bottleneck, costing us at least 3-4 hours daily across my team when you factor in the content team's involvement. We've tried standardizing our prompts, but the sheer volume and the need for relevance mean it's still a very manual, time-consuming process. I'm constantly looking for ways to streamline this without losing the quality our clients expect.

Simulated interest: 80/100

Rene Howenegative

Generative Engine Optimization? That's a new one. Honestly, my biggest hurdle right now is just keeping tabs on what people are saying about our brand online. I spend hours each week manually sifting through mentions using incognito browsers and ChatGPT prompts, then logging it all in spreadsheets. It's incredibly time-consuming, probably costing me 5-7 hours weekly, which is time I could be using for growth or product development. We're a two-person team, so every hour counts. I've never paid for a GEO tool, so I'm not sure what's out there, but the manual grind is definitely my biggest pain point.

Simulated interest: 50/100

Dorothy McClure-Ebertneutral

Generative Engine Optimization? That's a new one. Honestly, the biggest problem for us right now is simply the *time* it takes to manually verify AI output for tax and compliance. We're a small team, and I'm the primary skeptic, so I'm constantly running checks myself on various platforms. It's incredibly resource-intensive. I've tried setting up more structured internal processes and using existing free tools, but they're not sophisticated enough for our needs. We need a way to automate this verification without sacrificing accuracy. I'm not even sure what 'GEO' truly entails for our specific use case.

Simulated interest: 50/100