Track AI visibility to see how your brand is mentioned, cited, and recommended across LLM-powered search engines.

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Updated on Jan 19, 2026
Over the past six months, I’ve tested a wide range of AI monitoring platforms to understand how brands show up in ChatGPT, Claude, Perplexity, and other LLM-powered search experiences.
After nine years in SEO, I can confidently say this is the biggest shift I’ve seen since the early days of Google algorithm updates.
If you want to be recommended by AI systems — not just rank in Google — you need visibility into how these models talk about your brand.
You can’t improve what you can’t measure.
This guide breaks down the 10 best AI visibility tools for SEO teams in 2026, what each one does well, and which type of team they’re actually built for.
An AI visibility tool (also called an AI monitoring tool or GEO platform) helps you understand how your brand appears in AI-generated answers across large language models.
Instead of tracking keyword rankings in Google, these tools track:
Think of it as Google Search Console — but for AI-generated answers.
At its core, AI visibility tracking is prompt-based.
You provide a set of prompts like:
The tool runs those prompts across multiple LLMs and records:
The biggest limitation today is prompt discovery.
Unlike Google SEO, you don’t automatically know which prompts people are using inside LLMs — so most tools rely on educated guesses.
Some platforms are starting to solve this by surfacing prompts automatically based on topics and site analysis. That’s where the real value is heading.
After testing dozens of tools, here’s what actually matters:
Dageno stands out because it doesn’t feel like a basic prompt tracker.
Instead of forcing you to guess dozens of prompts upfront, it analyzes your site and core topics, then surfaces real AI conversations where your brand appears — or should appear. This removes much of the trial-and-error that most AI monitoring tools still rely on.
What impressed me most is how clearly it connects topics → AI answers → brand positioning. You’re not just seeing whether you’re mentioned — you’re seeing how you’re framed, who appears next to you, and which sources influence those answers.
This makes Dageno especially useful for:
It’s one of the strongest starting points if you want a clear picture of how your brand exists inside LLMs today.
AI Product Rankings is a simple but incredibly powerful free tool.
You can search by category or by brand and instantly see which products are being recommended in AI answers — along with the sources that influence those recommendations.
For publishers, it’s a great way to see how much influence your content has.
For brands, it shows which sites matter most if you want to be mentioned by AI systems.
No login. No paywall. Just data.
Peec AI feels premium from the moment you onboard.
It works best for companies that are already being discussed in AI answers. If your brand has recognition, the dashboards populate quickly with useful insights around prompts, sources, and competitors.
It’s less effective for publishers or early-stage brands, but excellent for established products.
This platform is well known in the AI visibility space and focuses heavily on enterprise use cases.
It combines traditional SEO-style topic analysis with AI search monitoring, making it useful for teams that want structured insights at scale. It’s less self-serve than some tools, but powerful once fully implemented.
Hall surprised me in a good way.
You can input a single topic and immediately get prompt ideas, mentions, and citations — even on the free plan.
The UI is clean, onboarding is fast, and the data is easy to understand.
One of the most accessible tools in this space.
Scrunch AI goes beyond reporting by offering suggestions on how to optimize content for AI visibility.
Many tools show you data but stop there. Scrunch actually tells you what to change — which makes it valuable for teams that want guidance, not just dashboards.
AthenaHQ combines AI visibility tracking with broader web analytics. It’s especially useful for agencies managing multiple clients, since all plans include unlimited users.
The free report during onboarding is a nice touch.
Nimt.ai feels closer to traditional brand monitoring — but adapted for AI search.
If you’re an ecommerce or consumer brand that cares about perception and positioning, this is worth testing.
Mentions is lightweight, easy to use, and inexpensive. It won’t replace enterprise platforms, but it’s a solid entry point if you want to experiment without a big commitment.
GA4 isn’t an AI visibility tool — but it’s still one of the most useful ways to track actual traffic from LLMs.
By filtering referral sources like ChatGPT, Perplexity, and Gemini, you can see:
Pair this with any tool above for a complete picture.
The short answer: get Google SEO right.
Modern LLMs heavily rely on high-authority, well-structured web content. If your pages:
You dramatically increase your chances of appearing in AI answers.
AI visibility tools don’t replace SEO — they help you understand how SEO performance translates into AI recommendations.
AI visibility is still early. No tool is perfect. But in 2026, not tracking how your brand appears in AI-generated answers is the same as doing SEO without analytics.

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Richard
Richard is a technical SEO and AI specialist with a strong foundation in computer science and data analytics. Over the past 3 years, he has worked on GEO, AI-driven search strategies, and LLM applications, developing proprietary GEO methods that turn complex data and generative AI signals into actionable insights. His work has helped brands significantly improve digital visibility and performance across AI-powered search and discovery platforms.