AI Tools for SEO and AEO That Show Your Brand Mentions in ChatGPT

The stakes are simple. ChatGPT has 1.2 billion weekly users, a figure OpenAI gave in its September 2026 DevDay recap, up from 900 million in February. Those users send about 2.5 billion prompts a day, per OpenAI figures reported in July 2025. And ChatGPT hands brands exactly zero native analytics about any of it.

One thing before we start. Every article currently ranking for this question is written by a tool vendor, and each one ranks itself. We run AI visibility audits for real estate agents and brokerages and we sell none of these tools. That is the lens for this guide: which tools are worth your money, how they actually work, and what the vendor lists will not tell you.

What are the best AI tools for SEO and AEO in 2026?

There is no single best. The right pick depends on whether you need a one-time snapshot or ongoing tracking, and on how many prompts you need watched. Free checkers answer “where do I stand today.” Paid trackers, from $29/mo to $99/mo as of October 2026, answer “is this changing.”

Here is the field, priced from the vendors’ own pages:

Every price above comes from the named vendor’s pricing page, first checked in July 2026 and unchanged when we checked again on 30 October 2026, but prices in this category move, so verify before you buy.

The free snapshot tier

A free scan tells you where you stand on the day you run it. HubSpot’s AI Search Grader scores your brand out of 100 across 5 weighted dimensions, per its own tool page. The Ahrefs checker shows whether six different AI platforms name you at all. Useful. But a snapshot cannot tell you whether last month’s work moved anything, which is the question that actually matters. More on that gap below.

The paid tracking tier

Between $29 and $99 a month, what you are really buying is a prompt budget and a schedule. Otterly’s Lite plan runs 15 prompts. HubSpot AEO and Semrush each run 25, per their pricing pages as of October 2026. Feature lists differ. Dashboards differ. The prompt count is the constraint that decides what your money is worth, and we will show you why in the section on sample size.

Pick by budget and prompt count, and hold the receipt.

Can Ahrefs track ChatGPT mentions?

Yes. Ahrefs Brand Radar tracks brand mentions in ChatGPT along with Google AI Overviews, AI Mode, Gemini, Perplexity and Copilot, and its custom prompts add Claude, per Ahrefs’ Brand Radar page, read on 30 October 2026. The free Ahrefs AI Visibility Checker in the table above is a one-time snapshot, while Brand Radar is the paid product that keeps tracking.

The paid product has two parts that work differently. Its AI Visibility Index draws on what Ahrefs calls 516 million real prompts people ask AI platforms, and custom prompts run the buyer questions you write yourself, metered in checks, with Claude using 8 checks per update. We have not quoted a price because the Ahrefs pages we opened on the same day showed dollars on one and euros on another, so read the Ahrefs pricing page from where you are buying.

Are there free tools to check AI brand mentions?

Yes, two worth your time. HubSpot’s AI Search Grader is a free one-time check with no account required; it scores 5 weighted dimensions out of 100, and Sentiment Results alone carries 40 of those points, per the tool’s page. The Ahrefs AI Visibility Checker is free with no signup and covers 6 platforms.

Ahrefs

516M+

organic prompts a month sit behind the Ahrefs checker, according to its own tool page.

Photo: Pexels account on Pixabay (photo 1844996)

What each one gives you:

• HubSpot AI Search Grader: a weighted score out of 100 plus a read on how AI describes your brand, sentiment included.
• Ahrefs answers a blunter question: do ChatGPT, Gemini, Perplexity, Copilot, AI Overviews or AI Mode name you at all? Ahrefs says the checker is built on a corpus of 516M+ organic prompts monthly, per its tool page as of October 2026.
• Run both. Ten minutes, no card, two independent reads on the same brand.

Now the honest caveat. A free scan is one day’s photo. AI answers move around constantly, so the score you get on Tuesday is not a trend, a baseline, or proof of anything except Tuesday. Treat it as a starting point.

There is also a $0 route that needs no tool at all: asking ChatGPT your own buyer questions and logging what comes back. We wrote the full walkthrough in our guide to checking if ChatGPT recommends your brand, so we will not repeat it here.

How does brand mention tracking in ChatGPT actually work?

Prompt simulation. Every tool on the market fires a set of buyer-style prompts at ChatGPT and other engines on a schedule, logs which brands each answer names, and turns that log into a mention rate. No tool reads real user conversations, because OpenAI does not expose them. Simulated prompts are the only window that exists.

What the tools measure

Four metrics show up everywhere, and each one feeds a different decision. Mention rate is the share of tracked prompts that name you; it tells you whether to invest in visibility at all. Share of voice compares your mentions against competitors on the same prompts; it tells you who AI treats as the category default. Citation frequency counts how often your pages get linked as sources; it tells you which content earns trust. Sentiment reads how AI describes you; it flags a messaging problem, not a visibility one.

What no tool can see

Real conversations, for a start. Tools also cannot see how ChatGPT’s memory personalizes answers for a logged-in user, and they cannot see the variation between what a fresh account gets and what a long-time user gets. Every dashboard number is an estimate built from the outside.

If you want the mechanics underneath the metric, our breakdown of how AI decides which brands to recommend covers what actually drives those answers.

Can ChatGPT monitor brand mentions for you?

No. ChatGPT ships no brand analytics, no alerts, no dashboard, nothing. The scale makes that absence expensive: 1.2 billion weekly users sending 2.5 billion prompts a day (the prompt count is OpenAI’s July 2025 figure), and not one report about how any of those answers treat your brand. Your options are asking it manually or paying a tool to ask it for you.

That is the entire section, because that is the entire answer. The manual route is the DIY guide linked above. The paid route is the table in the first section.

Before you pick from that table, though, one question is worth sixty seconds: who wrote the reviews you are about to read?

Who actually writes the lists ranking AI tools for SEO and AEO?

Tool vendors. When we reviewed the pages ranking for this exact question in July 2026, every one of the ten was published by an AEO tool, and each ranked itself favorably. None disclosed how tools were selected or scored. That does not make the tools bad. It makes the lists sales pages, and it means the criteria you need will not come from the lists themselves.

The pattern repeats page after page. A comparison table where the author’s product sits in the most flattering row. A “best for” column that happens to describe the author’s ideal customer. Pricing framed around the author’s cheapest plan. No methodology section anywhere.

We tell clients the same thing every time: a vendor ranking itself first is not lying to you, but it is not reviewing either. Read those lists for the pricing tables and skip the rankings.

We ran the same count across the wider category and published it, page by page, in our guide to the most popular AI visibility products for SEO, where six of the nine ranking pages we could read sell one of the products they rank.

Five things to demand before paying

1. A disclosed prompt source. Are the prompts derived from real search behavior or invented by the tool? Only Ahrefs even raises this question in public, and only while selling its own prompt corpus.
2. Prompt volume and run frequency you can verify inside the product, not just in marketing copy.
3. Engines covered in the base price. Otterly’s Lite plan, for example, covers four engines and sells Claude, AI Mode and Gemini as add-ons from $9-$29/mo, per its pricing page.
4. Raw answer logs you can export and spot-check yourself. If you cannot see the answers behind the score, the score is a black box.
5. A metric definition page. How does this vendor compute “mention rate”? If they will not write it down, walk.

Any tool that clears all five is worth a trial. Most will not.

Google AI Mode is the engine these tools handle least consistently, so if that surface matters to you, our review of the best AI Mode SEO tracking tools shows which plans include it and which sell it as an add-on.

How many prompts make a mention rate trustworthy?

More than most starter plans run. ChatGPT returns different answers to the same prompt run to run, by design, so a mention rate built on 15 prompts checked weekly is mostly noise. Treat any score from a small sample as a direction, and never compare two snapshots taken days apart as if they were a trend.

20% to 33% in one week on a 15-prompt plan can be pure churn.

The variance is not a flaw you can buy your way around. Ask ChatGPT the same buyer question five times and you can get five different brand lists, with real overlap but real churn. A tool sampling 15 prompts is photographing a moving target 15 times and averaging. The average moves even when your visibility has not.

Practical rules we use on our own tracking:

• Repeat runs before trusting a change. One week’s jump from 20% to 33% on a 15-prompt plan can be pure churn.
• Watch the trend over weeks. Six weekly readings pointing the same way mean something. One reading means Tuesday.
• Treat a free one-time scan as a photo, never as a film.

This is also why the prompt counts in the comparison table matter more than the feature columns. A $29/mo plan running 15 prompts and a $99/mo plan running 25 are both small samples. The extra spend buys engines and dashboards, not certainty.

How should a real estate agent or brokerage track AI mentions?

Track per area and per engine, because AI names agents locally and unevenly. In CiteVantage’s 500-query Houston study, an estimated 82.6% of the agents named appeared in just one of 40 areas and 83.3% on only one of four AI surfaces, so a tool watching ten city-wide prompts on one engine misses most of where an agent stands. Trackers measure the answer. For the tools an agent uses to do the work, see our read of 16 AI tools for real estate agents.

Veterans United

45%

of prospective homebuyers said they had used AI tools in their search, in a Veterans United Home Loans survey from June 2026.

Photo: George Njukeng, Pexels

That changes how you use any tool in the table above. Three adjustments matter more than the plan you pick:

• Write the prompts yourself, by neighborhood and by intent. In the same study, 94.0% of the firms named in new-build answers were absent from the generic answer for the same area, so a buying prompt, a selling prompt and a new-construction prompt for one suburb are three different measurements.
• Ask which Gemini the tool reads. The Gemini web app and the API-based Gemini named nobody in common on 56.5% of the Houston queries where both named a firm, so a Gemini number that does not say which surface it measured describes neither.
• Spend the small prompt budget on your own patch. Fifteen prompts covering the two or three areas you actually sell in will tell you more than fifteen spread across a metro.

The audience is already there: in a Veterans United Home Loans survey from June 2026, 45% of prospective homebuyers said they had used AI tools in their search, one of the figures collected on our real estate SEO statistics page. For the full Houston method and data, see the 500-query Houston study, and for what the tracking work looks like as a service, our GEO for real estate page sets it out.

What should you do when the tool says nobody mentions you?

First, know that zero is normal. In our 500-query Houston study, an estimated 94.0% of the Houston Association of Realtors’ 50,000-plus members were never named in 2,000 AI answers. A dashboard tells you the score, but it does not tell you what to change, and buying a bigger dashboard does not change the score. The fix path starts with why AI skips you, and more tracking comes later.

The pattern is not unique to real estate. Our earlier 181-brand study, run on US ecommerce brands outside real estate, found the same flat line:

Those two numbers are the baseline no vendor list can give you, because none of the ranking lists publishes one. So when your first scan comes back empty, you have not discovered a crisis. You have discovered the starting line most agents and brokerages share.

The fix order we use

Our approach is audit-first, not dashboard-first, and the order matters because each step feeds the next. Tracking comes last on purpose: measured earlier, you are just watching a flat line with better graphs.

1. Diagnose why the brand is invisible: crawler access, content structure, entity signals.
2. Make your key pages citable, so AI can lift and attribute them.
3. Build the third-party and entity signals AI engines actually trust.
4. Then track, because now there is something to measure.

For the diagnosis itself, our guide to why AI skips some brands entirely walks the common causes, and the DIY AI visibility audit shows you how to run the check yourself before spending anything. The full picture of how measurement fits into the work sits on our services page.

The tools in this guide tell you your score. Our Free AI Visibility Audit checks ChatGPT, Perplexity, Gemini and Copilot, then tells you your score and the first three things to fix, checked by a person rather than a prompt loop. No call required, no card, no drip sequence. Get your Free AI Visibility Audit here and skip straight to the part the dashboards leave out.

If you track competitors rather than your own brand, how to track competitor AI rankings covers the method, and the best AI Mode tracking tools covers the Google side.