7 Best Tools for Generative Engine Optimization (June 2025)

The new tools for Generative Engine Optimization

While marketers spent the last two decades mastering SEO to rank in Google’s search results, conversational AI has fragmented the search landscape and disrupted how people get answers to questions. Today, 58% of consumers now turn to AI-powered search engines like ChatGPT and Perplexity quick answers instead of scrolling through traditional search results ¹.

Generative Engine Optimization (GEO) addresses this reality. While SEO focused on ranking in search results, GEO is about earning visibility in AI-generated answers. The strategies differ significantly because AI engines evaluate content differently than traditional search algorithms. They prioritize authoritative sources, clear factual statements, and structured information that directly answers user queries.

The top Generative Engine Optimization tools for 2025

Just how tooling emerged for optimizing for Google Search, conversational AI has spurred a specialized set of GEO tools. These platforms monitor your brand’s visibility across AI engines, track competitor mentions, and provide insights you can’t get from traditional SEO tools.

Let’s explore the top options available in 2025.

1. Hall

Hall positions itself as the most comprehensive platform for monitoring brand visibility across AI engines. The platform tracks mentions across most of the AI platforms, giving you a bird’s-eye view of your brand’s presence across conversational AI.

Key features

• Generative answer insights that show where and how your brand appears in AI responses.
• Website citation insights revealing which of your pages get referenced most.
• Agent analytics capabilities allowing you to see how AI agents and crawlers interact with your website.
• Multi-platform coverage including ChatGPT, Perplexity, and Google AI Overviews.

Pros:

• See your brand’s visibility across multiple AI platforms in one dashboard.
• Generous free tier lets you test the platform without commitment.
• Citation attribution analysis helps you understand which content and webpages are driving AI mentions.

Cons:

• Access to additional platforms require a higher-tier subscription.
• The platform’s depth can feel overwhelming if you just want basic monitoring.

Starting price:

Free tier available, with extended tiers with additional capabilities available.

2. Otterly.AI

Otterly.ai focuses on tracking brand visibility and mentions across conversational AI platforms, and includes a few other helpful tools for keyword research, prompt generation, and automated audits.

Key features

• AI search prompt generator for testing different query scenarios.
• Link citation analysis showing which sources AI engines reference.
• Country-specific monitoring for localized insights.
• Weekly automated reports delivered to your inbox.

Pros:

• Relatively simple to use if you only need to monitor a few AI platforms across a few specific questions, or search prompts.
• Supports the execution of search prompts in different geographies.
• Includes other tools such as keyword research, prompt generation, and automated audits.

Cons:

• Coverage is limited to only three AI platforms.
• Number of search prompts available to be tracked is quite limited when compared to other platforms at equivalent price points.

Starting price:

US$29/month for 10 search prompts.

3. Ahrefs Brand Radar

Ahrefs extended their popular SEO suite to include AI monitoring with Brand Radar, focusing specifically on Google AI Overviews.

Key features

• Share of AI overview mentions compared to competitors.
• Competitor gap analysis showing opportunities.
• AI overview content excerpts for context.
• Domain citation tracking across AI responses.

Pros:

• If you’re already using Ahrefs, Brand Radar integrates seamlessly with your existing workflow.
• The competitive analysis features are particularly strong, showing you exactly where competitors appear in AI overviews while you don’t.
• The visualization of share trends makes it easy to track progress over time.

Cons:

• Ahrefs is a Google-orientated tool, and has not adapted to support new conversational AI platforms, like ChatGPT.
• The tool currently only monitors Google AI Overviews, missing other important AI platforms.
• After the beta period ends, it will become a paid add-on to your Ahrefs subscription, and you need an existing Ahrefs account to access it.

Starting price:

Free during beta for Ahrefs subscribers, then a paid add-on.

4. Airank

Airank takes a unique approach by focusing on entity relationships and semantic connections between brands and concepts in AI models.

Key features

• Entity association tracking showing how AI engines connect your brand to topics.
• Grounded vs. ungrounded analysis revealing citation patterns.
• Brand-entity gap analysis identifying missing associations.
• Location-specific monitoring for targeted insights.

Pros:

• The entity-based approach provides insights you won’t find elsewhere.
• Reveals how AI engines understand the relationship between your brand and various concepts.

Cons:

• Complexity can overwhelm non-technical users who just want basic monitoring.
• The free version limits you to 10 phrases, and premium pricing isn’t transparently displayed, requiring sales contact.
• Insights would need to be supplemented by other tools to get a full picture of your brand’s AI visibility.

Starting price:

Free demo available; contact for premium pricing.

5. Am I on AI?

This tool provides quick insights into brand visibility across major AI platforms with an easy-to-understand scoring system.

Key features:

• AI visibility score summarizing your overall presence.
• Competitor benchmarking against similar brands.
• Source analysis showing which content gets cited..
• Weekly change tracking for trend monitoring.

Pros:

• Visibility score makes it easy to understand your AI presence at a glance.
• Coverage spans multiple AI platforms.
• Source impact visualization helps you understand which content drives mentions.
• Weekly trend tracking keeps you updated on changes.

Cons:

• Report generation can be frustratingly slow, and customization options are limited.
• The features feel basic compared to more comprehensive competitors, especially for enterprise users.

Starting price:

Paid plans start at $49/month.

6. Profound

Profound targets enterprise clients with advanced AI search volume estimates and comprehensive visibility analytics.

Key features:

• Conversation explorer with unique AI search volume estimates.
• Answer engine insights across multiple platforms.
• Agent analytics for different AI models.
• ChatGPT Shopping tracking for e-commerce brands.

Pros:

• AI search volume estimates set Profound apart, as few other tool provides this data.
• Multi-platform coverage is comprehensive, and the ChatGPT Shopping tracking benefits e-commerce businesses.
• The analytics depth suits enterprise needs.

Cons:

• Enterprise pricing puts it out of reach for smaller businesses.
• The sales-led approach means no self-service options.
• Learning curve is steep for new users.

Starting price

Custom enterprise pricing.

7. Kai Footprint

A newer entrant focusing on AI footprint analysis and content optimization for AI visibility.

Key features:

• AI content compatibility scoring for your existing content.
• Citation source analysis showing reference patterns.
• Competitive visibility tracking against rivals.
• Optimization recommendations for better AI visibility.

Pros:

• Content analysis goes beyond monitoring to provide actionable optimization tips.
• Competitive benchmarking helps identify opportunities.
• Regular reporting keeps you informed of changes.

Cons:

• As a newer platform, historical data is limited.
• Platform coverage is smaller than established competitors, which might miss important AI engines.
• No self-service sign up option, and you need to contact the team to get access.

Starting price:

$99/month for basic plan.

The future of GEO tooling

GEO tools will likely evolve rapidly as AI search continues developing. We can expect better integration between traditional SEO and GEO platforms, more sophisticated content optimization recommendations, and expanded coverage as new AI engines emerge.

As AI engines become more sophisticated in their source selection and citation practices, GEO tools will need to provide deeper insights into the factors that influence AI visibility. This might include content freshness, author authority, source diversity, and semantic relevance scoring.

Investing in GEO tools now positions your brand for the future of search. While traditional SEO remains important, the growing influence of AI-powered search means you can’t afford to ignore your visibility in AI-generated responses. The tools available today provide the foundation for understanding and optimizing your presence in this new reality.

The question isn’t whether AI search will become dominant: it’s whether your brand will be visible when it does.