Updated July 2026. This list started in March 2026 with 30 tools. We add new ones as they launch.

There are 33 AEO tracking tools on the market as of July 2026, and every one of them does the same core job: run a fixed set of prompts through AI models on a schedule, check the responses for your brand name, and chart the results over time. If you came here for buying advice, here it is in one sentence: pick the cheapest tracker that covers the models your buyers actually use, because the underlying data is close to identical across vendors. The full list, with funding and pricing for each tool, is below.

We build Unusual, which measures what AI models believe about brands and why. People regularly lump us into the tracker category, so we started maintaining the most complete public list of these tools, what they do, and what they cost. Collectively, the companies below have raised over $200 million in venture capital, and a new one appears on Product Hunt most weeks promising to optimize your brand for AI search.

What an AEO tracking tool actually does

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) describe the practice of optimizing content for the retrieval systems AI models use when they pull information from the web. We wrote a fuller definition in AEO vs GEO vs SEO. An AEO tracker, which you will also see sold as an AI visibility tool, a GEO tracker, or an LLM SEO tool, is the measurement half of that practice.

Every tool on this list works the same way:

1. It runs a set of prompts against LLMs (ChatGPT, Perplexity, Gemini, Claude) on a schedule.

2. It checks whether your brand is mentioned in the responses.

3. It tracks those mentions over time and reports the trend as "AI visibility" or "share of voice."

4. It runs the same prompts for your competitors and compares.

The core mechanic is identical across all 33 tools. The differentiation is packaging, UI, how many prompts you get per month, and price. Some bundle content recommendations. Some have nicer dashboards. Some charge $29 a month and some charge $3,000+ a month for the same underlying data.

The master list: every AEO tracker, with funding and pricing

Funding data is included where available, to give you a sense of how much capital is chasing this category.

New since the March version of this list: SE Ranking's AEO Checker, which currently covers Google AI Overviews and ChatGPT, with Gemini, Perplexity, and Claude on its roadmap. Have a tool that should be on this list? Reach out at keller@unusual.ai and we'll add it.

How to choose an AEO tracking tool

Since the underlying mechanic is a commodity, choose on three practical questions:

Which models does it query? Coverage varies more than the marketing suggests. Most tools cover ChatGPT and Perplexity; fewer cover Gemini, Claude, and Google AI Overviews. Match the tool to where your buyers actually are, which in B2B usually means ChatGPT first.

How many prompts do you get, and how often do they run? The dashboards are built from prompt runs, so the quota is the product. A $29 plan running 25 prompts weekly and a $3,000 plan running thousands daily are selling different sample sizes of the same measurement.

Are you already paying for an SEO suite? Semrush, Ahrefs, Surfer, SE Ranking, and Conductor all bolted AI tracking onto their existing platforms. If you already have a subscription, the add-on is usually the cheapest way to get a baseline.

For most teams, though, our honest recommendation stands: pick the cheapest tool that answers "does AI mention us when buyers ask about our category," and spend the savings on work that changes the answer.

The build-your-own option

Every tool above is running LLM API calls on a schedule and storing the results. If you have a developer, or an agent like Claude Code, you can build the core prompt-tracking functionality yourself in a day:

1. Define 20–50 prompts your buyers might ask.

2. Run them against the ChatGPT, Claude, and Perplexity APIs.

3. Parse responses for brand mentions, competitor mentions, and sentiment.

4. Store results in a database, run weekly, diff the changes.

That covers 80% of what these products do. The remaining 20% is UI, integrations, and reporting, which is nice to have if you share dashboards across a team. If you just need to know whether ChatGPT recommends you when someone asks about your category, you can find out this afternoon for the cost of a few API calls.

The question trackers leave unanswered

A tracker tells you whether your brand appeared in a sample of AI answers. Treat that number as a rough baseline rather than a precise instrument. When we tested the stability of share of voice, swapping a single word in a prompt for a synonym moved a brand's share of voice by up to 17 percentage points and changed a third of the vendors recommended in a typical answer. The movement a buyer creates for free by rephrasing a question is on the same order as the movement brands spend months of content and PR work trying to manufacture. We wrote up the full argument in AI "Share of Voice" is Meaningless.

What stays stable underneath the mention counts is the model's picture of your brand: what it believes you do well, who it thinks you are for, where it hesitates, and which competitor it hands the conversation to when a buyer adds real constraints. Those beliefs decide the recommendation by turn eight of a buying conversation, and they move when the evidence the model reads changes. Mapping and shifting that layer is a positioning and proof problem, and it calls for a different kind of work than tracking.

Use a tracker for what it is good at: confirming your content is discoverable and giving you a rough trend line. Use the belief layer to decide what to publish, fix, and prove.

If you want to see that layer for your own brand, we run a $495 AI Brand Perception Audit: we map how AI models describe and recommend your brand to your top buyer personas across the contexts they actually bring, walk your team through the findings, and credit the $495 toward your first month if you move forward. Book it here.