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AI Overviews (AEO) and Generative Engine Optimization (GEO) are reshaping how people discover content online. For marketers, that shift raises a pressing question: how do we measure visibility in AI-driven search?
The truth is, it’s still early days. The landscape of AI reporting tools is fragmented and evolving fast. But even now, there are free or low-cost tools that can give us surprisingly valuable insights. By experimenting early, Uproer’s positioning our clients to lead, not follow, in the evolving AI search landscape.
Below, we’ve grouped the tools we’re currently testing into categories. Each represents a different angle on understanding AEO/GEO and how brands can prepare.
AI Visibility Tracking & Monitoring Tools
Understanding how your brand shows up in AI-generated answers is becoming as important as traditional SEO visibility. This set of tools helps us measure whether we’re being included in AI responses, evaluate the factors driving that visibility, and identify opportunities to improve our share of voice in this emerging search channel.
Scrunch
Scrunch, already trusted by content leaders like Animalz, tracks how often your brand or content surfaces in LLM outputs. By monitoring mentions across conversational AI platforms, it gives marketers an early but practical sense of “AI search share of voice.” This helps establish benchmarks and spot areas where competitors are gaining ground.
At Uproer, we're actively trialing Scrunch to see if the performance reporting and insights derived from the tool have meaningful value. Our focus is on surfacing actionable takeaways that evolve our SEO strategies for our clients.
“Tracking brand sentiment and the accuracy of brand information is a potentially valuable use case. If LLMs are sourcing information about your brand from third-parties, there may be outdated or plain wrong information in their responses. Combating this by developing more brand content, both on- and off-site, can be a practical action to take to ensure your brand is being accurately represented.”
- Griffin Roer, Founder & CEO, Uproer
Gumshoe AI
Gumshoe helps us track visibility in AI search results and provides tactical recommendations on how to improve. For marketers wondering whether they’re showing up in AI-generated answers, Gumshoe is a great place to start.
AI Coverage
AI Coverage analyzes how well your content is structured for AI visibility. It reviews elements like formatting, schema usage, and readability to surface where your content may be helping—or hurting—its chances of being cited in AI outputs. This makes it a strong diagnostic tool for technical and editorial teams who want to ensure their work is AI-ready.
Athena HQ
Athena HQ is designed specifically for LLM monitoring. It tracks citation counts to show where and how often your brand is mentioned across the web and inside AI-generated responses. This makes it especially valuable for evaluating authority and trust signals in AI environments.
Promptwatch
Promptwatch provides monitoring of LLM outputs with a focus on “answer gap detection.” It flags questions where competitors are being cited but your brand isn’t, highlighting potential blind spots in your content strategy. This competitive intelligence makes it easier to prioritize new content or optimizations that close those gaps.
Profound
Profound is an emerging tool focused on deep monitoring and analysis of AI outputs. It offers a granular look at how your content interacts with generative engines, enabling marketers to move beyond surface-level visibility metrics and understand context, tone, and thematic relevance within AI responses.
N8N
N8N is best described as “Zapier for AI workflows.” It connects with thousands of platforms and lets us build automations that monitor, report, and even respond to AI search activity at scale. For teams managing multiple channels, N8N ensures AI visibility tracking becomes part of the daily workflow rather than an isolated task.
Why This Matters
It’s tempting to wait until the reporting landscape matures before diving in. But we believe the opposite approach is smarter: get your hands dirty now, while the tools are free, nimble, and experimental.
Early exploration gives us three advantages:
- Faster learning curves – We build familiarity with new data sources before competitors, which means our partners benefit from insights sooner. By the time others are still experimenting, we’re already translating findings into strategies that give clients a measurable competitive edge.
- Strategic positioning – Clients look to us for guidance, and staying ahead of the curve demonstrates thought leadership on their behalf. By adopting these tools early, we’re able to position our clients as forward-thinking brands that are prepared for shifts in AI-driven search.
- Future-proofing – The habits we form now—experimenting with AI visibility tools and testing workflows—directly benefit our clients down the line. As AEO/GEO reporting becomes more standardized, our partners won’t be playing catch-up. Instead, they’ll already have the infrastructure and insights in place to adapt smoothly and maintain an advantage.
Stay Ahead of the Curve with Uproer
We’re at the start of a new era in search, and the playbook isn’t written yet. These tools, while imperfect, are helping us sketch the outlines of how AEO and GEO reporting might take shape.
If you’re exploring how AI search will impact your brand, we’d love to continue the conversation. Learn more about Uproer’s AEO/GEO services and how we’re preparing for the future of search. Let’s talk.
