If you’ve been following the shift from traditional search to answer engines, you know that ranking on Google is no longer enough. You need to know what ChatGPT, Claude, and Gemini are saying about your project.
But the market is flooded with new AI SEO / AEO / GEO SaaS platforms every week. Which ones actually matter for a crypto project?
I've tested dozens of tools. Here is a breakdown of the 5 AI visibility tools that are most useful for crypto products specifically. For each tool, I'll explain what it is good for.
What are AI visibility tools?
Think of these tools as the Ahrefs or SEMrush for the Large Language Model (LLM) era.
Instead of tracking keyword rankings on a search engine results page (SERP), they track your "Share of Voice" and "Sentiment" inside AI responses.
They answer the critical questions: When a user asks, "What is the best crypto wallet?", does ChatGPT recommend my product? And if not, who does it recommend?
What tools crypto projects need
Crypto marketing is different from SaaS or E-commerce.
You don’t need to churn out five blog posts a day. You need high-trust, technical accuracy. Therefore, the tools you pick should focus on:
Tracking visibility: knowing how often you appear in answers.
Tracking sources: identifying which publications, posts, or news articles the AI is citing to form its opinion of you.
Overkill features you don't need
The competition among AI SEO tools is fierce and many try to stand out by adding features that you don't need.
Daily tracking: Things in crypto don't change that fast. Prices move fast, but fundamentals don't change daily. Checking visibility weekly or bi-weekly is usually sufficient because the competition is still relatively weak in AI search for crypto.
100s of prompts: While it looks impressive on a dashboard, it's more valuable to track a handful of high-intent prompts that real users, investors, and developers actually ask (e.g., "how to stake [token]" or "[project] vs [competitor]").
Content generation: Most AI writing tools struggle with the nuances of crypto. The industry is too specific and niche to get good content automatically. You still need to invest your own time and thinking to write the technically accurate content that AI models will eventually cite.
Now let's dive into specific tools.
Ahrefs
Ahrefs has entered the chat with its new Brand Radar feature. If you already use Ahrefs for traditional SEO, this is the easiest starting point.
How I use it: I use it to identify keywords, SERP competitors, backlinks, and to quickly benchmark domains. With the new AI features, you can get a quick estimate of your LLMs citations alongside your Google rankings. It’s great for getting a quick snapshot of how you are performing compared to your competitors without needing a separate specialized tool.
I've also used Ahrefs to research which crypto companies are getting the most AI citations.
Gumshoe
Gumshoe positions itself as a tool to "outrank the competition in AI Search," but its pricing model is what makes it unique.
How I use it: I used this for researching visibility across different personas and prompts. Unlike most other tools that lock you into a monthly subscription, Gumshoe offers a pay-as-you-go model. This is perfect for crypto projects that want to run a deep-dive audit once a quarter rather than monitoring daily fluctuations. You can check how your brand appears to different "personas" (e.g., a developer vs. a retail investor) across Gemini, ChatGPT, and Perplexity.
Peec.ai
Peec is an "AI Search Analytics" tool that is similar to the much-hyped Profound, but at a more accessible price point.
How I use it: For your given prompts, it tracks all responses from selected AI assistants and records the citations that influence them. I used this for tracking, but in my case, the rankings were not changing weekly, so the constant monitoring felt like overkill for my specific needs.
However, the source tracking is excellent. I got very useful insights into watching how AI models form their opinions. For example, seeing that an LLM pulled its "con" list for a project from a specific Reddit thread allows you to go fix that information at the source.
AtomicAGI
AtomicAGI markets itself as the "Operating System for AI-Era SEO," focusing heavily on analytics and attribution.
How I use it: I use this to evaluate visibility and track sources across the major engines (ChatGPT, Perplexity, Gemini, Claude). Additionally, it runs technical audits to surface opportunities for improving your It’s also great for traditional SEO because it packages data from Google Search Console (GSC) into ready-to-use insights. If you want a dashboard that blends your traditional search performance with your new AI visibility metrics, this is a strong contender.
Gauge
Gauge is an enterprise-grade platform used by major players.
How I use it: I personally tried it but haven't used it at scale. It is, however, used by Para (the wallet infrastructure provider). The product looks great and offers deep "gap analysis" to see exactly where you are missing out compared to competitors. However, it is a bit pricey and geared towards larger teams. If you need enterprise-level reporting and support, this is the one to look at, but it might be heavy for a smaller DAO or protocol.
To sum up
You don't need to buy every tool on this list. Start by manually checking your brand on ChatGPT. If you already have Ahrefs, start with it just to get a feel for who is winning now. If you find you have a visibility problem, pick Gumshoe for a one-off audit or Peec if you need ongoing monitoring.
Have you tested any other AI SEO tools for your project?
Let me know on X / Twitter or connect with me on LinkedIn. I’d love to hear what’s working for you.