Top 10 Generative Engine Optimization Tools To Try in 2025

As AI search engines answer millions of questions daily without sending users to websites, forward‐thinking marketers are shifting focus from traditional SEO to generative engine optimization (GEO). This transition is critical—traditional search engine volume is predicted to drop 25% by 2026 and 50% by 2028, replaced by traffic from generative engines like ChatGPT[2].

The right GEO tools ensure your brand gets mentioned when ChatGPT, Perplexity, or Google’s SGE answers questions in your industry. Without proper optimization, your content risks being buried rather than cited.

This article explores the top 10 GEO tools in 2025 that can help your brand maintain visibility in this evolving search landscape.

Understanding the GEO Landscape in 2025

Generative Engine Optimization represents a fundamental shift in how brands approach online visibility. Unlike traditional SEO that focuses on ranking web pages, GEO aims to optimize content for AI systems that generate direct answers without necessarily linking to source websites.

The stakes are high—brands that adapt quickly gain a significant competitive advantage, while those slow to respond risk digital invisibility in AI‐generated responses.

Why GEO Matters Now More Than Ever

With the rapid adoption of AI search tools, user behavior is changing dramatically. More people are turning to AI assistants for quick answers rather than browsing through search results. This shift means brands must ensure their content is not just discoverable by traditional search engines, but also properly represented in AI‐generated responses.

Top 10 Generative Engine Optimization Tools in 2025

Each of these tools offers unique approaches to optimizing content for AI‐powered search engines, addressing different aspects of the AI visibility challenge.

1. AthenaHQ

AthenaHQ stands at the forefront of Generative Engine Optimization, helping companies see how their brand appears on generative engines like ChatGPT, Perplexity, Claude, Gemini, and more[2]. Founded by technical experts with backgrounds at Google Search and DeepMind, AthenaHQ provides comprehensive monitoring and actionable insights.

Key Features:

360-degree view of how customers discover your brand across AI platforms
Centralized action center with AI-generated recommendations
Comprehensive monitoring solution for brand mentions and representation
Tracking of queries where your brand performs well or needs improvement

Pros:

Founded by experts with direct experience in Google Search and generative AI
Provides both monitoring and actionable recommendations
Helps brands adapt to the rapidly changing AI search landscape

Pricing: Growth plan at $900/month with one free month on annual plans[3]

AthenaHQ’s approach combines monitoring with action, making it particularly valuable for brands serious about maintaining visibility as traditional search traffic declines.

2. Goodie AI

Goodie AI appears at the top of NoGood’s list of best GEO tools for 2025[1], offering comprehensive generative search optimization capabilities.

Key Features:

AI search visibility monitoring
Content optimization recommendations
Brand mention tracking across multiple AI platforms

Pros:

Comprehensive approach to GEO
User-friendly interface for monitoring AI search performance
Actionable insights for content optimization

Cons:

May require significant investment for full feature access

Goodie AI provides a solid foundation for brands looking to establish or improve their presence in AI-generated search results.

3. Semrush

Semrush, a well-established name in traditional SEO, has expanded its offerings to include GEO capabilities[1]. This integration makes it particularly valuable for teams already using Semrush for their SEO efforts.

Key Features:

Integration with existing SEO tools and workflows
AI search visibility monitoring
Competitive analysis for AI search performance

Pros:

Seamless integration with traditional SEO workflows
Comprehensive competitive analysis
Established reputation in the digital marketing space

Cons:

GEO features may not be as specialized as dedicated tools

Semrush’s approach allows marketing teams to manage both traditional SEO and GEO from a single platform, streamlining workflows and providing a more comprehensive view of online visibility.

4. Scrunch AI

Scrunch AI focuses on content optimization for AI readability and citation potential[1]. Its approach emphasizes making existing content more accessible to AI systems.

Key Features:

Content analysis for AI readability
Optimization recommendations for improved citation potential
Brand mention tracking across AI platforms

Pros:

Specialized focus on content optimization
Practical recommendations for improving AI visibility
User-friendly interface

Cons:

May require significant content adjustments for optimal results

Scrunch AI helps brands understand how AI systems interpret their content and provides actionable recommendations for improvement.

5. Peec AI

Peec AI offers comprehensive visibility tracking across different AI language models, providing valuable insights into how content performs across the AI ecosystem[1].

Key Features:

Track and analyze brand performance on AI search platforms
Identify sources for AI citations
Benchmark performance against competitors
Regular AI visibility tracking

Pros:

Data-driven insights for marketing teams
Detailed analytics and benchmarking
Tracking across different AI language models and timelines

Cons:

Starting price of €120/month may be prohibitive for smaller businesses

Peec AI’s emphasis on data-driven insights makes it particularly valuable for larger organizations with complex content strategies.

6. Rankscale

Rankscale offers a comprehensive approach to tracking, analyzing, and optimizing brand visibility on AI search engines like Perplexity, ChatGPT, and AI Overviews[1].

Key Features:

Site audit for AI search performance
Content optimization for better AI search rankings
Citation and brand sentiment monitoring
Competitor analysis
Performance tracking in search results

Pros:

Comprehensive approach suitable for businesses serious about AI search
Content optimization capabilities crucial for visibility
Competitive analysis features

Cons:

Membership packages may represent a significant investment

Rankscale’s full suite of tools makes it essential for brands looking to deeply integrate AI search strategies into their marketing efforts.

7. Otterly

Otterly specializes in link and brand mention tracking across AI search platforms, with particular attention to ChatGPT, Google AI Overviews, and Perplexity.

Key Features:

Automatic tracking of brand mentions and links
Dedicated country monitoring support
Link citation, brand position, and sentiment tracking
Automated weekly reports

Pros:

Insights into AI search performance
Automated monitoring across multiple platforms
Both free and paid options available

Cons:

Paid plans starting at $29/month required for advanced features

Otterly’s automation capabilities make it efficient for brands needing to monitor mentions across multiple AI platforms.

8. Knowatoa

Knowatoa focuses on AI search discovery and competitor rankings, helping brands understand how AI models perceive them relative to competitors.

Key Features:

Cross AI model tracking focused on sales and lead-generating questions
Competitor comparison and ranking insights
AI perception analysis

Pros:

Focused on AI search rank tracking
Competitive insights to inform strategy
Free trial available with paid plans starting at $49/month

Cons:

May not be as comprehensive as some other tools

Knowatoa’s strength lies in its ability to analyze AI perceptions of brands, providing a unique perspective that other tools may miss.

9. Geordy.ai

Geordy.ai takes a unique approach by focusing specifically on content transformation for AI readiness, helping brands actively optimize their content for AI consumption.

Key Features:

Automated content transformation for GEO
Generation of files that format content for AI accessibility
Precise, automatic, and AI-first indexing

Pros:

Simplifies the process of optimizing content for AI search
Fast and automated approach for content creators
Proactive rather than reactive approach to GEO

Cons:

Limited details on methodology and pricing

Geordy.ai addresses one of the key challenges in GEO: creating content that AI systems can easily understand and reference.

10. KAI Footprint

KAI Footprint helps brands understand and improve their visibility in AI-generated search results, particularly in models like ChatGPT, Perplexity, Google AI, and DeepSeek.

Key Features:

AI Brand Analytics and Competitor Monitoring
Visibility improvement recommendations
Community access and weekly newsletter
Custom reporting in paid tiers

Pros:

Valuable insights into AI model perceptions
Community and newsletter for ongoing education
Free tier available for initial assessment

Cons:

Advanced features require paid plans starting at $99/month

KAI Footprint combines analytics with educational resources, making it ideal for teams looking to build their GEO capabilities.

The Future of AI Search and What It Means for Marketers

Several trends are shaping the future of GEO and will influence how brands approach AI visibility in the coming years.

Multimodal Optimization

As AI systems become more sophisticated in processing different types of content, optimization must expand beyond text to include images, audio, and video. This multimodal approach requires:

Enhanced schema markup implementation
Visual content optimization for AI recognition
Audio content transcription and optimization
Integrated content strategies across media types

Real-time Data Integration

The implementation of Retrieval-Augmented Generation (RAG) is changing how AI systems access and utilize information, placing greater emphasis on:

Fresh, regularly updated content
Real-time data feeds and API connections
Dynamic content that reflects current information
Monitoring tools that track AI crawling patterns

Entity-Based Optimization

The shift from keyword-based to entity-based optimization represents a fundamental change in content creation approaches:

Focus on establishing entity relationships
Enhanced knowledge graph integration
Structured data implementation
Content that clearly defines entities and their attributes

Developing an Integrated Approach to Search Visibility

The most successful digital marketing strategies in 2025 will combine traditional SEO with GEO, recognizing that both approaches remain valuable but serve different purposes.

Traditional SEO continues to drive direct website traffic and remains crucial for:

Building domain authority
Capturing specific long-tail keywords
Driving direct conversions

GEO focuses on ensuring brand representation in AI-generated responses, which is essential for:

Brand awareness and perception
Establishing thought leadership
Capturing traffic from AI-first users

By developing capabilities in both areas, brands can maintain visibility regardless of how users choose to search for information.

Conclusion

The rise of AI-powered search represents both a challenge and an opportunity for digital marketers. Those who adapt quickly, leveraging the right GEO tools and strategies, will maintain visibility and relevance in this new landscape where traditional SEO and GEO coexist.

The tools highlighted in this article represent the leading edge of GEO technology in 2025, each offering unique capabilities to help brands navigate this evolving space. By starting to build GEO capabilities now, brands can establish a foundation for future success in an increasingly AI-first search landscape.

As traditional search engine volume continues to decline in favor of AI-generated responses, the importance of GEO will only grow. The question is no longer whether to invest in GEO, but which tools and strategies will best position your brand for success in this new paradigm.

Citations

[1] https://nogood.io/2025/04/05/generative-engine-optimization-tools/ [2] https://www.ycombinator.com/companies/athenahq [3] https://slashdot.org/software/p/AthenaHQ/