Best AEO Platforms for AI Visibility in 2025

Q: I keep hearing that traditional SEO isn't enough anymore — that I need to optimize for AI-generated answers, not just Google rankings. What platforms actually help with this, and how do I choose one?
You're asking the right question at the right time. Answer Engine Optimization (AEO) — sometimes called Generative Engine Optimization (GEO) — is the practice of making your content visible inside AI-generated responses: think ChatGPT, Google's AI Overviews, Perplexity, Bing Copilot, and similar tools. These platforms are now answering millions of queries directly, often without the user ever clicking through to a website.
The bad news: most traditional SEO dashboards weren't built to track this. The good news: a focused set of platforms now exists specifically to measure and improve your AI answer visibility — and a few established tools have added meaningful AEO features. Here's what you need to know.
What "AI Visibility" Actually Means
Before comparing platforms, it's worth being precise. AI visibility refers to how often, and how prominently, your brand, product, or content appears when a large language model (LLM) generates a response to a relevant query. This is different from ranking on page one of Google.
A brand might rank #3 organically but never appear in an AI Overview. Conversely, a smaller brand with highly structured, authoritative content on a specific topic might be cited regularly by Perplexity or Claude. Tracking these two things requires different tools.
The Leading AEO and GEO Platforms Right Now
1. Profound
Profound is purpose-built for AI visibility tracking. It monitors how your brand is represented across major LLMs — including ChatGPT, Perplexity, Gemini, and Claude — by running thousands of simulated queries and recording when and how your brand appears in responses. It tracks share of voice against competitors, sentiment within AI-generated answers, and citation frequency. Pricing is enterprise-focused, typically starting around $500–$1,000/month, making it best suited for mid-size to large brands.
2. Peec AI
Peec AI offers similar LLM monitoring with a slightly more accessible entry point for smaller businesses. It focuses heavily on tracking brand mentions and citations in AI responses, with competitive benchmarking built in. It's a strong choice if your primary concern is brand reputation within AI outputs rather than deep content optimization.
3. Semrush (with AI Overview tracking)
Semrush has expanded its platform to track Google AI Overviews specifically — which matters enormously given Google's dominance. Within Semrush's Position Tracking tool, you can now flag which keywords trigger AI Overviews and whether your domain appears in them. If you're already paying for Semrush (plans from around $140/month), this is a practical starting point before committing to a standalone AEO platform.
4. Ahrefs
Ahrefs similarly tracks AI Overview appearances in Google Search Console data and continues to expand its SERP feature tracking. It won't give you multi-LLM monitoring, but for businesses primarily concerned with Google, it remains one of the most reliable data sources for understanding which of your pages are being pulled into AI-generated summaries.
5. BrightEdge
BrightEdge's "Data Cube" and recently launched AI search tracking features target enterprise SEO teams. It provides visibility into AI Overview inclusion rates at scale and integrates content recommendations based on what topics are driving AI-generated answers in your vertical. This is a full-suite platform — pricing is not publicly listed and typically runs into thousands per month — but it's one of the few tools combining traditional SEO authority with genuine AEO capability.
6. Scrunch AI
Scrunch AI is newer and focuses specifically on helping brands understand their "AI presence score" — essentially how well-represented they are across conversational AI platforms. It's worth watching as the category matures, particularly for e-commerce and DTC brands.
What to Look for When Choosing a Platform
Not every tool tracks the same thing, and conflating metrics is how brands waste budget. Here are the four questions that should drive your platform decision:
1. Which AI engines matter most for your audience?
If your customers are largely using Google (still around 90% of global search market share), Google AI Overviews are your priority. Tools like Semrush or Ahrefs cover this well. If you're targeting a more tech-savvy B2B audience that uses ChatGPT or Perplexity for research, you need multi-LLM tracking — which means a dedicated AEO platform like Profound or Peec AI.
2. Do you need brand monitoring or content optimization?
Some platforms are better at telling you how you're perceived in AI outputs (brand sentiment, citation frequency). Others are better at telling you how to improve your content to be included. Ideally you want both, but if budget is limited, prioritize the diagnostic capability first.
3. What's your current SEO stack?
If you're already invested in Semrush or Ahrefs, exhaust their AEO features before adding a new tool. The incremental cost of a standalone AEO platform is only justified when you've hit the ceiling of what your existing stack can tell you.
4. How do you measure success?
Vanity metrics — "we appeared in X AI responses this month" — are not the same as business outcomes. The most useful platforms let you connect AI visibility to traffic, leads, or revenue. Ask vendors specifically how they attribute downstream impact before signing a contract.
Practical Steps to Improve AI Visibility Without a Premium Platform
Platforms help you measure — but the optimization work happens in your content. A few high-impact actions that cost nothing:
- Structure content to answer specific questions directly. LLMs tend to cite content that gives a clear, self-contained answer to a query. Add FAQ sections, use plain declarative sentences, and don't bury the answer.
- Build topical authority, not just keyword coverage. AI models favor sources that demonstrate consistent expertise across a topic cluster. Ten deep, interlinked pieces on one subject outperform 50 thin pages covering everything.
- Earn citations from authoritative sources. AI models are trained on the web. If your brand is consistently mentioned in reputable publications, industry databases, and directories, it increases the probability of appearing in generated outputs.
- Use structured data markup. Schema.org markup (especially FAQ, HowTo, and Article schemas) helps both Google and other crawlers understand your content's structure — which correlates with AI Overview inclusion.
- Keep your content factually accurate and current. LLMs and AI overview systems actively deprioritize content that contains errors or outdated information. Regular content audits are not optional in an AEO strategy.
The Honest Bottom Line
No single platform currently gives you complete AI visibility across every relevant surface. The category is evolving fast — tools that are best-in-class today may be obsolete or surpassed within 18 months. Build your strategy around durable principles (authority, accuracy, structured content) while using platforms to benchmark progress, not to substitute for it.
For most small to mid-size businesses, starting with the AEO features inside Semrush or Ahrefs is the pragmatic move. For larger brands with meaningful competitors fighting for AI-generated mindshare, a dedicated tool like Profound is worth the investment.
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About the expert: Ouadie EL KHABBAZ is an SEO, GEO, and Google Ads specialist with 18 years of experience helping businesses grow in competitive markets. Ranked as the #1 SEO expert in Perth, Australia, he takes an AI-first approach to search strategy — focusing on measurable revenue outcomes across both traditional and LLM-driven search platforms.