Best 8 AEO Tools to Monitor AI Visibility in 2026 (+ When You Need an Expert Audit Instead)

TL;DR: top picks by category

• Best for finding out why AI ignores your brand and getting a prioritized fix list: Far & Wide
• Best for multilingual and European brands: Peec AI
• Best for content teams that also need AI-generated articles: Profound
• Best for SEO teams already on Ahrefs (with add-on budget): Ahrefs Brand Radar
• Best for SEO teams already on Semrush: Semrush AI Toolkit
• Best for agencies managing multiple clients: SE Ranking
• Best free baseline check: HubSpot AI Search Grader

Comparison table

1. Far & Wide

Best for: brands that need a diagnosis and action plan, not a dashboard

Price: €80 one-time (AI Visibility Report) / from €750 one-time (Full AEO Audit & Strategy)

Far & Wide is not a SaaS monitoring platform. We sell one-time audits that tell you exactly why AI does or does not recommend your brand, and what to fix first.

The AI Visibility Report (€80, delivered in about 20 minutes) runs your target queries through multiple independent ChatGPT sessions with web search enabled, then separately tests what AI knows about your brand from its training data alone, without web search. This parametric knowledge test is something no monitoring platform offers. It tells you whether AI has internalized your brand as an entity or whether it only finds you through real-time web search, which is a distinction that determines which optimization strategies will actually work.

The report also audits your homepage: 9 technical parameters (bot access, sitemap, schema markup, heading structure, meta descriptions, image alt text, content volume, internal linking) and 8 content criteria (positioning clarity, company identity, service descriptions, pricing visibility, certifications, customer evidence). You get 10 specific recommendations ranked by both impact and difficulty. Instead of "improve your content," you get "add FAQ schema to your pricing page, here is the code."

The Full AEO Audit & Strategy (from €750) goes deeper across up to 50 pages. It includes per-product breakdowns (8-10 separate documents showing how each product or service performs in AI answers across ChatGPT, Claude, and Perplexity), E-E-A-T analysis, external signal mapping (reviews, media mentions, directories), and a 1.5-hour strategy session where we walk through every finding and distribute tasks across your team. The full audit typically takes about two weeks and produces 15+ deliverable documents.

The average AEO platform charges more per month than our full audit costs total. If you need ongoing daily tracking after the audit, pair Far & Wide with one of the monitoring tools below.

Downside: No ongoing monitoring. Once the audit is delivered, tracking changes over time requires a separate tool or a follow-up engagement. Far & Wide is a diagnosis and a roadmap, not a dashboard.

Best for: Brands that want to understand their baseline AI visibility, get a prioritized fix list, and then decide whether ongoing monitoring is worth the monthly cost.

Get your AI Visibility Report

2. Peec AI

Best for: European and multilingual brands

Price: From €85/mo

Peec AI, based in Berlin, has raised $29M and built a monitoring platform that tracks brand mentions across multiple AI models (3 on the Starter plan, all available models on Advanced). The platform uses web scraping to capture AI responses, which means it can monitor a wide range of models without depending on API access.

The main selling point is language coverage. Peec AI supports 115+ languages, which makes it one of the few options for brands operating across multiple markets with different languages. Sentiment tracking is included, so you can see not just whether AI mentions your brand but whether the mentions are positive, negative, or neutral.

Downside: No technical site audit, no prioritized recommendations, and at €85/mo the entry price is higher than most alternatives for what is purely a monitoring tool. The web scraping approach can also mean occasional data inconsistencies if AI platforms change their interfaces.

Best for: Brands operating in European or multilingual markets that need to monitor AI mentions in languages beyond English. The 115+ language support is a real differentiator if your business spans multiple regions.

3. Profound

Best for: content teams that want AI article generation alongside monitoring

Price: $99-$399/mo

Profound raised $96M in its Series C round (February 2026) at a $1B valuation, bringing total funding to over $155M — making it the most heavily funded player in the AEO space. The platform combines AI visibility monitoring (tracking ChatGPT on Starter, up to 3 platforms on Growth, and up to 10 on Enterprise) with AI content agents that can generate articles optimized for AI citation.

The most distinctive feature is Prompt Volumes, which shows real search query volumes inside AI platforms. This is data that most monitoring tools do not have, and it lets content teams prioritize which topics to cover based on actual AI query demand rather than traditional keyword volume.

On the Growth plan ($399/mo), Profound provides four recommendations per week. These are tied to the monitoring data, so they are more specific than generic optimization tips.

Downside: The Starter plan ($99/mo) tracks only ChatGPT — you need the $399/mo Growth plan for Perplexity and Google AI Overviews, and Enterprise pricing for the full 10-platform suite. The content generation features blur the line between monitoring and creation. The AI-generated articles need editorial review before publishing, which adds time.

Best for: Content teams that want to combine AI visibility monitoring with AI-powered content creation in one platform, especially if the Prompt Volumes data helps prioritize content strategy.

4. Conductor

Best for: enterprise teams with budget for full-stack AEO and SEO

Price: Custom, typically $10K-$50K+/yr

Conductor is an enterprise SEO platform that has added AI visibility features through three separate products: Creator (content optimization), Intelligence (analytics and reporting), and Monitoring (AI visibility tracking). The platform is ISO certified (42001, 27001, SOC 2), which matters for enterprises with strict compliance requirements.

The AI monitoring tracks brand mentions across multiple AI platforms and integrates this data with existing organic search and paid media analytics. For enterprises already using Conductor for SEO, adding AEO monitoring means one fewer vendor to manage.

Downside: The pricing puts Conductor out of reach for small and mid-size businesses. The AEO features are split across three separate products, which means the full capability set requires a significant commitment. And because Conductor is an SEO platform first, the AI-specific features may lag behind dedicated AEO tools in depth and frequency of updates.

Best for: Enterprise teams that already use Conductor for SEO or need ISO-certified compliance, and have the budget to add AI monitoring to an existing enterprise stack.

5. Ahrefs Brand Radar

Best for: SEO teams already using Ahrefs

Price: Ahrefs base plan from $129/mo (Lite) + Brand Radar add-on from $199/mo per AI index or $699/mo for the 6-platform bundle. Total cost with full coverage: $828-$1,148/mo.

Ahrefs added Brand Radar as an add-on to its existing SEO suite, giving users access to a 199 million+ monthly prompt database for AI visibility tracking across six platforms: ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews, and Google AI Mode.

The tool tracks how often AI mentions your brand in response to real user prompts (not synthetic queries) and provides competitor benchmarking. Since it sits inside the Ahrefs ecosystem, you can cross-reference AI visibility data with backlink profiles, keyword rankings, and content performance.

Downside: The add-on pricing makes Brand Radar one of the most expensive options on this list — full 6-platform coverage costs roughly $828+/mo on top of your Ahrefs subscription. The prompt database is fixed rather than customizable, so you cannot test your own specific queries. No recommendations or action items are generated. Brand Radar is an observation tool, not an optimization tool.

Best for: SEO teams already paying for Ahrefs who want AI visibility data integrated into their existing workflow and have the budget for the add-on pricing.

6. Semrush AI Toolkit

Best for: SEO teams already using Semrush

Price: $99/mo for the standalone AI Visibility Toolkit, or $199/mo for Semrush One (combined SEO + AI bundle). Additional prompts cost $60/mo per 50, and additional domains cost $99/mo each.

Semrush has integrated AI visibility tracking into its platform, covering five AI platforms: ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Mode. The toolkit includes prompt tracking, brand performance benchmarking, and sentiment analysis alongside Semrush's existing SEO reporting framework.

The Semrush One bundle (launched October 2025) merges the SEO Toolkit with the AI Visibility Toolkit into a single platform, which is the better value if you use both.

Downside: Pricing adds up quickly — additional users each pay $99/mo separately, so a 3-person team costs $297/mo for the AI toolkit alone. No parametric knowledge testing, no technical audit, no prioritized AEO-specific recommendations. You get data, but interpreting and acting on it is your responsibility.

Best for: SEO teams already paying for Semrush who want AI visibility data in the same interface where they manage organic and paid search.

7. SE Ranking

Best for: agencies managing multiple clients

Price: From $119/mo (Pro plan)

SE Ranking includes AI visibility tracking across six AI platforms as part of its full SEO suite. The Pro plan and above allow tracking for multiple projects, which makes it practical for agencies managing several client accounts.

The multi-client project structure is the main advantage. You can set up separate AI visibility tracking for each client, compare performance across accounts, and include AI data in client reports alongside traditional SEO metrics.

Downside: The AI tracking is a feature within an SEO suite, not a dedicated AEO platform. The depth of AI-specific analysis is limited compared to standalone tools like Peec AI or Profound. No technical audit, no recommendations, and the AI data may not update as frequently as dedicated monitoring tools.

Best for: Agencies that need to track AI visibility across multiple client accounts within a single platform and already use SE Ranking for SEO management.

8. HubSpot AI Search Grader

Best for: a quick, free baseline check

Price: Free

HubSpot's AI Search Grader (also called AEO Grader) checks your brand across ChatGPT, Perplexity, and Gemini at no cost. You enter your brand information, and the tool returns a visibility score with a written interpretation, narrative theme analysis (the stories AI associates with your brand), source quality assessment, and an exportable report.

This is the most accessible tool on the list. If you have never checked your AI visibility and want a starting point before committing to any paid tool, HubSpot's grader gives you a meaningful baseline across three major platforms.

Downside: No tracking over time, no ongoing monitoring, and no prioritized action items. The analysis is a snapshot, not a workflow. It tells you where you stand and what AI says about you, but not how to systematically improve. You also cannot test custom prompts — the tool runs its own analysis based on your brand and category.

Best for: Anyone who wants a free, zero-commitment check before deciding whether to invest in AEO monitoring. Use it as a starting point, not as a strategy tool.

What actually matters when choosing an AEO tool

Most "best tools" lists compare features in a vacuum. What actually matters for your decision, with thresholds that separate useful from insufficient:

The selection criteria

Parametric knowledge: the criterion most tools miss

When you use ChatGPT with web search turned off and ask it about your brand, the response comes entirely from the model's training data. This is parametric knowledge: what the AI has internalized about your brand as a permanent part of its understanding.

When you use ChatGPT with web search turned on, it retrieves information in real time. This is search-augmented visibility: what the AI can find about you right now.

These two types of visibility require different optimization strategies. If AI has no parametric knowledge of your brand, you need to build entity presence through citations in training data sources. If AI finds you through search but gets the details wrong, you need to fix your on-page content and structure.

Every monitoring tool on this list measures search-augmented visibility. Only Far & Wide tests parametric knowledge separately. This matters because knowing which type of visibility you have (or lack) determines which fixes will actually move the needle.

For a deeper look at how to test this yourself, see our guide on how to check if your brand is recommended by ChatGPT.

What no monitoring tool does

Every SaaS monitoring platform on this list has the same gap: monitoring tells you what is happening, but not why or how to fix it.

A monitoring dashboard can show you that ChatGPT stopped mentioning your brand last Tuesday. It cannot tell you that the reason is a noindex tag that was accidentally added to your pricing page during a site migration, or that your schema markup is returning validation errors, or that a competitor published a comparison article that AI now cites instead of your product page.

The gap between monitoring and fixing breaks down into three layers.

Layer 1: diagnosis

Why does AI mention (or ignore) your brand? This requires testing parametric knowledge, auditing technical crawlability, reviewing content structure, and mapping external signals like reviews and media mentions. No monitoring tool does this because it requires page-level analysis, not query-level tracking.

Layer 2: prioritization

Which fixes will have the biggest impact? If you have 47 issues, you need to know which five to tackle this month. This requires understanding how AI weighs different signals, which varies by platform, by industry, and by the type of query. A monitoring tool shows you 47 problems. An audit ranks them.

Layer 3: implementation guidance

What exactly should you change, on which page, in what format? "Improve your schema markup" is not actionable. "Add FAQPage schema to your pricing page with these three questions, here is the JSON-LD code" is actionable. Monitoring tools optimize for breadth by tracking everything daily, while audits optimize for depth by fixing the right things in the right order.

This is why the "start with audit, then add monitoring" approach works. You diagnose first, fix the high-impact issues, then turn on monitoring to track whether the fixes hold and catch new changes.

Start with an audit, then add monitoring

If you are unsure where to start, use this decision framework.

When a one-time audit is the right first step

You should start with an audit if any of these are true:

• You have never checked your AI visibility systematically before.
• You do not know whether AI knows your brand from its training data or only from real-time web search.
• You have a team that can implement changes but needs a clear list of what to change.
• You want to avoid paying $50-150/month for a dashboard before you know what to look for on it.
• You are launching a new product or entering a new market and want to establish your AI presence correctly from the start.

An audit gives you the baseline. Without a baseline, monitoring data has no context. A visibility score of 45 means nothing if you do not know what is pulling it down or what "good" looks like in your industry.

When ongoing monitoring makes sense

Monitoring becomes worthwhile after you have a baseline and have made initial fixes. It makes sense when:

• You publish content regularly and want to see how new content affects AI mentions.
• You operate in a competitive space where AI recommendations shift frequently.
• Your competitors are actively optimizing for AI visibility and you need to track changes.
• You have already implemented audit recommendations and want to measure results.
• You manage multiple brands or clients and need scalable tracking.

The combined approach

The most effective approach we have seen is straightforward:

1. Run an audit to understand your baseline, identify gaps, and get a prioritized action plan.
2. Implement the highest-impact fixes from the audit over 4-8 weeks.
3. Add a monitoring tool to track the impact of those changes and catch future shifts.
4. Re-audit quarterly or after major site changes to recalibrate your action plan.

The audit typically costs less than three months of a monitoring subscription and gives you the context to actually use the monitoring data effectively.

Decision guide by need

Your situation determines which tool (or combination) fits best. Find yours below.

"I have never checked my AI visibility"

Start with a free check using HubSpot AI Search Grader to see if you show up at all. If the results concern you, invest in a Far & Wide AI Visibility Report (€80) to get a real diagnosis with specific fix recommendations. Skip the monthly subscription until you know what to fix.

"I know my visibility is low and I need a plan"

Go directly to Far & Wide's Full AEO Audit (from €750). You need diagnosis and prioritization, not more data confirming you are invisible. Once you have implemented the top recommendations, add monitoring to track progress.

"I need to track visibility daily for reporting"

Use the AI features in Ahrefs or Semrush if you already pay for those platforms. If not, Peec AI (€85/mo) offers dedicated monitoring across multiple AI models. Daily tracking is most useful when you are actively publishing content and want to see the impact.

"We operate in multiple languages"

Peec AI (€85/mo) with 115+ language support is the strongest option for multilingual monitoring. Pair it with a Far & Wide audit for the initial diagnosis, since monitoring across seven AI models does not help if your underlying content is not structured for citation.

"We need content creation and monitoring together"

Profound ($99/mo) bundles AI visibility monitoring with AI content generation and real query volume data. The content generation features are useful for scaling, though all AI-generated content requires human editing before publishing.

"We are an enterprise team"

Conductor ($10K+/yr) integrates AI monitoring with enterprise SEO infrastructure and meets ISO compliance requirements. If you already use Conductor for SEO, adding AEO features keeps everything in one platform.

"I manage multiple client accounts"

SE Ranking ($119/mo) is built for agency workflows with multi-client project management. You can track AI visibility per client and include it in existing reporting.

The honest take on AEO tools in 2026

The AEO tools market is where the SEO tools market was around 2010: growing fast, full of overlapping features, and populated by platforms that are better at showing you dashboards than helping you improve.

After working with brands across industries on their AI visibility, this is what we see:

A monitoring tool alone does not improve your AI visibility any more than a bathroom scale helps you lose weight. It measures. That is useful, but it is not a strategy. Most brands that sign up for monthly monitoring cancel after three months because they get data they do not know how to act on.

The tools that include recommendations (Profound's weekly suggestions, for example) are a step in the right direction, but they are still automated suggestions generated from pattern matching, not expert analysis of your specific situation.

The brands getting the best results combine a thorough initial audit with targeted monitoring afterward. They know which metrics to watch because someone analyzed their specific gaps, and they have a prioritized list of actions so they are not guessing. We saw this firsthand with an online school that went from zero AI mentions to consistent recommendations after implementing a structured audit-then-monitor approach.

None of these tools is a waste of money if you match the tool to your actual need. The waste happens when you pay for monitoring without knowing what you are monitoring for, or when you track visibility daily without a plan to improve it.

If you want a deeper understanding of what actually drives AI recommendations, our guide on how to get recommended by AI covers the specific signals that matter.

Frequently asked questions

What is the difference between AEO tools and SEO tools?

SEO tools track your rankings on search engine results pages (Google, Bing). AEO tools track whether AI assistants (ChatGPT, Perplexity, Gemini, Copilot) mention, cite, or recommend your brand. The optimization strategies overlap in some areas (content quality, technical structure) but diverge in others (parametric knowledge, entity recognition, citation formatting). Most brands need both. For a complete breakdown, see our guide to answer engine optimization.

Can I use a free tool to check AI visibility?

Yes. HubSpot AI Search Grader gives a basic free score. You can also test manually by running queries in ChatGPT, Perplexity, and other AI platforms and recording results in a spreadsheet. We published a step-by-step manual checking guide with 15 ready-to-use prompts.

How often should I check AI visibility?

It depends on how actively you are optimizing. During active optimization (implementing audit recommendations, publishing new content), weekly or daily tracking is useful. During maintenance periods, monthly checks are sufficient. AI responses can shift without warning when models update, so some monitoring cadence is valuable even when you are not making changes.

Do I need both an audit and a monitoring tool?

Not necessarily. If your budget is limited, an audit provides more actionable value per dollar than monitoring. An audit tells you what to fix. A monitoring tool tells you what changed. If you can only pick one, pick the audit first. Add monitoring once you have implemented the fixes and want to track results.

What is parametric knowledge and why does it matter?

Parametric knowledge is what an AI model knows from its training data, without searching the web. If ChatGPT mentions your brand with web search turned off, your brand has parametric knowledge. This matters because parametric knowledge is persistent (it survives across sessions and does not depend on search results), while search-augmented mentions depend on your pages being findable in real time. Different optimization strategies target each type. Testing both separately tells you where your actual gaps are.