The way people search online is changing fast. LLMs like ChatGPT, Gemini, Google’s AI Overviews, and Perplexity are now answering questions directly, often without showing traditional search results. That’s why smart marketers are shifting from classic SEO to something new: GEO.
Generative Engine Optimization (GEO) is all about making sure your content shows up in these AI-generated answers. The best GEO tools like KIVA, Profound, Athena HQ, Otterly AI, and Prerender.io help you get discovered by AI engines and monitor your brand visibility.
What is Generative Engine Optimization (GEO)?
According to AllAboutAI.com, Generative Engine Optimization, or GEO, is the process of creating content that’s designed to show up in answers generated by AI tools like Google’s AI Overviews, ChatGPT, Perplexity, and Gemini.
Instead of just focusing on search engine rankings like traditional SEO, GEO is about making sure your content is picked up, understood, and even cited by large language models (LLMs).
To succeed at GEO, your content should:
- Answer real questions clearly and helpfully
- Use trusted sources and accurate data
- Be structured with FAQs, lists, or brief sections
- Cover topics in enough depth to be seen as valuable by AI
What are the 9 Best GEO Tools in 2025?
As AI-driven search engines grow in influence, having the right tools for Generative Engine Optimization (GEO) is essential. At AllAboutAI.com, I have found these five tools that will help your content get noticed inside AI-generated results:
- KIVA – An all-in-one GEO suite that turns keyword and GSC data into LLM-ready content outlines with real-time AI query tracking.
- Profound – Tracks brand mentions and citations across AI engines like ChatGPT, Claude, Gemini, and Perplexity.
- Athena HQ – Helps teams plan content with topical depth, semantic clustering, and GEO scoring to improve AI visibility.
- Otterly AI – Simulates AI search queries to test prompt-readiness, SGE compatibility, and visibility grading.
- Prerender.io – Delivers bot-friendly HTML for JavaScript-heavy sites to improve crawlability and GEO performance.
- Goodie AI – Offers fast, on-brand AI copywriting tuned for AI answer optimization and SGE readiness.
- Semrush – Combines traditional SEO with AI content scoring, LLM snippet testing, and competitor tracking.
- Scrunch AI – Monitors real-time ChatGPT prompts and helps identify topics for AI-optimized content creation.
- HubSpot’s AI Search Grader – Audits your website’s readiness for AI search results and offers optimization tips.
1. KIVA – From Keywords to AI Citations
KIVA is an AI agent for marketers who want their content to rank in AI Overviews and LLM-generated answers. Unlike traditional SEO tools that focus solely on SERP positions, it identifies LLM-pickable queries, understands user intent, and then auto-generates content outlines.
It’s built with a deep understanding of how AI engines like Google SGE, Perplexity, and ChatGPT parse, prioritize, and cite web content.
What are the Key Features of KIVA for GEO?
- LLM queries from ChatGPT, Perplexity, Gemini, Claude and Deepseek
- ChatRadar for LLM tracking
- Keyword segmentation by platform (Google, Bing, Gemini, etc.)
- Intent classification using large language models
- Content brief generation with LSIs, PAAs, and structured formats
- Built-in GSC integrations and AI query pattern analysis
- Starting price: $39.99 per month
Who Should Use KIVA?
As discussed in the detailed KIVA review, this tool is perfect for SEO strategists, content marketers, and LLM-visibility specialists who manage multiple content assets and want a data-driven GEO strategy without jumping between platforms.
What are the Pros and Cons of KIVA?
Pros
- Combines GSC + third-party data for unmatched depth
- Auto-clusters keywords into GEO-friendly buckets
- GEO-native content outlines ready for LLMs
Cons
- Slight learning curve for first-time users
- Currently optimized mostly for blog/long-form workflows (not yet product pages)
Case Study: How a SaaS Blog Boosted AI Visibility with KIVA
Background: A SaaS company published automation blogs but wasn’t visible in AI-generated results like Perplexity or Google AI Overviews.
Challenge: Their SEO content lacked alignment with LLM query formats and missed high-potential keywords hidden in GSC data.
Strategy: They used KIVA’s ChatRadar to track LLM queries, applied LLM Optimization for structuring content, and uncovered keyword gaps with Hidden Gems and User Intent Analysis.
Result: Within 30 days, 3 blogs appeared in AI Overviews and Perplexity. AI-driven traffic rose by 41%, with new mentions on ChatGPT and Claude, confirmed through LLM traffic monitoring on Looker Studio.
2. Profound – Track What AI Says About You
Profound is a monitoring tool built for the age of generative search. It tracks how your brand, website, or content appears across AI-powered engines like ChatGPT, Claude, Gemini, and Perplexity, giving you unmatched visibility into what LLMs are saying and citing.
What are the Key Features of Profound for GEO?
- Snapshot tracking across LLMs (ChatGPT, Claude, Gemini, etc.)
- Citation alerts for branded and keyword mentions
- Daily or weekly visibility reports
- Topic-level dashboards to monitor generative visibility over time
- Competitor benchmarking for generative search mentions
- Advanced tool for identifying AI-generated brand mentions
- Starting price: $49.99 per month
Who Should Use Profound?
Profound is ideal for brand marketers, PR professionals, content leads, and SEO teams that want to monitor brand visibility across AI tools, correct misinformation, and identify content gaps.
What are the Pros and Cons of Using Profound?
Pros
- Real-time citation tracking from LLMs
- Unique insights into generative engine behavior
- Helps shape GEO and PR strategies simultaneously
Cons
- Premium pricing for full visibility features
- Less useful for small/local businesses with low brand mentions
Case Study: How Ramp Achieved 7x AI Visibility with Profound
Background: Ramp aimed to improve AI visibility in the competitive Accounts Payable space using Profound’s Answer Engine Insights.
Challenge: They had just 3.2% AI visibility and ranked 19th among fintech brands in their niche.
Strategy: Used Profound to identify high-impact content types, then published focused comparison pages and solution guides optimized for AI engines.
Result: Using this one of the best tools for GEO optimization, visibility rose to 22.2%, with 300+ citations. Ramp jumped to 8th place and gained top-cited content across AI platforms.
3. Athena HQ – LLM Optimization in One Workflow
Athena HQ is an all-in-one platform that helps you create content that’s not only SEO-friendly but also AI-optimized from the ground up. It focuses on topical depth and query intent, which are key signals for LLM SEO.
It streamlines keyword research, topic authority analysis, and outline building, so your content can rank in both traditional search engines and AI-generated results from platforms like Perplexity, ChatGPT, and Gemini.
It is one of the best platforms for tracking brand visibility across ChatGPT and Gemini simultaneously.
What are the Key Features of Athena HQ for GEO?
- AI-driven content brief builder with headline and section suggestions
- Topic clustering to group semantically related queries
- Topical authority scoring to strengthen your domain’s niche credibility
- Suggested outlines aligned with People Also Ask, FAQ, and prompt-based formats
- Collaborative tools for editorial teams and agencies
- Starting price: $270 per month
Who Should Use Athena HQ?
Athena HQ is a great fit for content strategists, in-house marketing teams, SEO consultants, and content agencies who want to build AI-ready content that aligns with both algorithmic needs and human readability.
What are the Pros and Cons of Using Athena HQ?
Pros
- Combines SEO + GEO workflows in one dashboard
- AI-generated outlines that match LLM expectations
- Helps build topical authority through semantic clustering
Cons
- Still refining UX in parts of the dashboard
- No native integrations (yet) with LLM traffic analytics
Case Study: AutoRFP.ai Achieves 10x ChatGPT Traffic with AthenaHQ
Background: AutoRFP.ai noticed that 10% of prospects discovered them via ChatGPT but lacked control over their brand’s AI visibility.
Challenge: They had minimal insight into how AI platforms cited their content, and traditional SEO tools offered no help.
Strategy: Used AthenaHQ’s Olympus platform for AI citation tracking, optimized content structure, and implemented llms.txt files for better AI crawlability.
Result: Achieved a 10x increase in ChatGPT traffic, with one-third of demo bookings coming from AI-generated discovery.
4. Otterly AI – Make Your Content Promptable and LLM-Ready
Otterly AI is a smart optimization tool built specifically for the age of AI-generated answers. It audits your content to see how well it performs when used in prompts across tools like ChatGPT, Claude, and Google’s SGE.
Instead of guessing how AI will interpret your article, Otterly gives you a sandbox to test and refine it before publishing.
What are the Key Features of Otterly AI for GEO?
- Prompt testing sandbox with real-time generative response preview
- Content grading based on entity coverage and AI summarization quality
- SGE-readiness reports with structured recommendations
- AI-visibility checklist tailored to LLM behavior
- Topic gap detection for better semantic richness
- Starting price: $29 per month
Who Should Use Otterly AI?
Otterly AI is ideal for bloggers, SEO copywriters, in-house content teams, and technical SEOs who want to ensure their content is indexable, promptable, and positioned to appear in LLM-generated outputs.
What are the Pros and Cons of Using Otterly AI?
Pros
- Unique focus on prompt-readiness and content prompt testing
- Easy-to-use reports for improving LLM visibility
- Bridges technical SEO with generative content workflows
Cons
- Still evolving in terms of integrations
- May feel too simplified for advanced data-driven SEOs
Case Study: Videoloft Boosts AI Search Visibility with Otterly.AI
Background: Videoloft needed to boost its brand presence across AI search engines like ChatGPT and Perplexity.
Challenge: Traditional SEO tools lacked visibility into AI-driven citations, leaving Videoloft in the dark about its AI representation.
Strategy: Used Otterly.AI to track AI mentions, refine content based on AI analysis, and compare visibility against competitors.
Result: Achieved stronger AI visibility, refined its content strategy, and gained a competitive edge in the AI search landscape.
5. Prerender.io – Make LLMs See and Understand Your Website
Prerender.io is a technical SEO tool designed to make JavaScript-heavy websites fully crawlable and understandable by both search engines and AI crawlers.
In the context of GEO, it’s a hidden hero; it ensures that LLMs like ChatGPT, Perplexity, and Gemini can access, interpret, and index dynamic content on your site that might otherwise be invisible.
What are the Key Features of Prerender.io for GEO?
- Server-side rendering (SSR) for JavaScript and dynamic content
- Delivers clean, AI-readable HTML snapshots to bots
- Lightning-fast load times for improved performance scores
- Supports over 60,000 URLs and custom rules
- Compatible with Googlebot, Bingbot, ChatGPT crawler, and more
- Starting price: $90 per month (also offers a free plan)
Who Should Use Prerender.io?
Prerender.io is a must-have for technical SEO teams, web developers, SaaS brands, and headless CMS users who want their dynamic websites to be visible to AI-powered engines and traditional crawlers alike.
What are the Pros and Cons of Using Prerender.io?
Pros
- Ensures dynamic websites are visible to both AI and search engine bots
- Boosts crawlability for LLMs like ChatGPT and Gemini
- Improves Core Web Vitals and overall performance
Cons
- Requires developer setup and maintenance
- Not relevant for simple or static websites
Case Study: Empowering Cloud Enhances SEO and Saves $120K with Prerender.io
Background: Empowering Cloud‘s video-rich site suffered from slow loading and weak SEO due to JavaScript-heavy pages.
Challenge: Poor PageSpeed scores and broken Open Graph tags hurt their visibility and social engagement.
Strategy: Used Prerender.io to deliver pre-rendered HTML to bots, fix OG tag issues, and skip costly SSR deployment.
Result: Achieved faster server response, better SEO rankings, improved social previews, and saved $120K in development costs.
6. Goodie AI – Own Your Brand Narrative in AI Search
Goodie AI is a pioneering Answer Engine Optimization (AEO) platform designed to enhance brand visibility across AI-driven search engines like ChatGPT, Gemini, Perplexity, Claude, and DeepSeek.
It offers real-time analytics, competitive benchmarking, and actionable insights to optimize your brand’s presence in AI-generated responses. If you are wondering what tools allow for tracking of how branded queries perform after GEO updates, I recommend trying Goodie AI.
What are the Key Features of Goodie AI for GEO?
- AI Visibility Monitoring across major LLMs
- Competitive Benchmarking to compare brand performance
- Optimization Hub with actionable recommendations
- Sentiment Analysis to monitor brand perception
- Global Monitoring for AI search presence worldwide
- Starting price: $50 per month
Who Should Use Goodie AI?
Ideal for startup founders, CMOs, PR teams, SEO specialists, and marketing professionals aiming to lead in the AI search era and ensure their brand stands out in AI-powered search results.
How does Goodie compare to other AI visibility tools? It specializes in detecting AI summary visibility across platforms, focusing on SERP-free exposure. Unlike broader SEO tools, it tracks prompt recall, summary inclusion, and brand phrasing retention with pinpoint accuracy.
What are the Pros and Cons of Using Goodie AI?
Pros
- Comprehensive AI visibility tracking
- Actionable optimization insights
- Supports multiple AI platforms
Cons
- Currently in closed beta; access may be limited
- Enterprise-level pricing may not suit small businesses
Case Study: NoGood’s Rise in AI Recommendations
Background: NoGood, a growth marketing agency, aimed to improve its visibility in AI-driven agency recommendations.
Challenge: Limited presence in AI-generated search results was affecting their discoverability.
Strategy: Utilized Goodie AI to analyze and optimize their content for AI search platforms.
Result: Achieved a 5x increase in visibility, moving from 19th to 8th position in the Accounts Payable category.
7. Semrush – Integrating GEO into Traditional SEO Workflows
Semrush has expanded its capabilities to include Generative Engine Optimization (GEO), allowing users to optimize content for AI-powered search engines like ChatGPT, Google Gemini, and Perplexity.
Its AI Toolkit provides insights into brand visibility, sentiment analysis, and competitive positioning in the AI search landscape.
What are the Key Features of Semrush for GEO?
- AI Overview Analysis to monitor content appearance in AI summaries
- Brand Sentiment and Share of Voice metrics
- Competitive Benchmarking across AI platforms
- Integration with existing Semrush SEO tools
- Starting price: $129.95 per month
Who Should Use Semrush?
Best suited for digital marketers and SEO professionals seeking to integrate GEO strategies into their existing SEO workflows using a familiar platform.
What are the Pros and Cons of Using Semrush?
Pros
- Comprehensive suite combining SEO and GEO tools
- Detailed analytics and reporting
- Trusted platform with extensive resources
Cons
- Advanced GEO features may require higher-tier subscriptions
- Learning curve for new users unfamiliar with Semrush
Case Study: Hepper’s Organic Traffic Growth
Background: Hepper, a pet product company, sought to increase its online presence.
Challenge: Needed to identify content topics that resonated with their audience.
Strategy: Leveraged Semrush to analyze keyword trends and optimize content accordingly.
Result: Published over 5,000 articles, growing organic visitors from nearly zero to over 3 million per month
8. Scrunch AI – Mapping Brand Presence in AI Conversations
Scrunch AI focuses on understanding and optimizing how brands appear in AI-generated responses across platforms like ChatGPT, Gemini, and Perplexity. It offers tools to monitor brand mentions, analyze sentiment, and identify content gaps in AI search results.
What Features does Scrunch AI Offer to Help Optimize Brand Performance in AI Search Engines?
- AI Visibility Monitoring across multiple platforms
- Sentiment Analysis to gauge brand perception
- Content Gap Identification for optimization opportunities
- User Journey Mapping in AI interactions
- Starting price: $300 per month
Who Should Use Scrunch AI?
Ideal for marketing teams and brand managers aiming to enhance their brand’s representation in AI-generated content and understand user interactions with AI platforms. It is one of the best GEO tools for monitoring AI-driven conversations.
What are the Pros and Cons of Using Scrunch AI?
Pros
- Detailed insights into brand mentions in AI responses
- Actionable recommendations for content improvement
- Focus on user journey and experience
Cons
- Limited integrations with other marketing tools
- May require manual input for some analyses
Case Study: BairesDev’s Surge in AI Search Visibility
Background: BairesDev, a software outsourcing company, aimed to enhance its presence in AI search results.
Challenge: Limited visibility in AI-generated responses was impacting their reach.
Strategy: Implemented Scrunch AI to monitor and optimize their content for AI platforms.
Result: Achieved a 78% increase in AI search visibility within two months.
9. HubSpot’s AI Search Grader – Assessing Brand Visibility in AI Search
HubSpot’s AI Search Grader is a free tool designed to evaluate your brand’s presence in AI-powered search engines like ChatGPT, Perplexity, and Gemini.
It provides a comprehensive score based on brand sentiment, share of voice, and visibility, helping marketers understand their performance in the AI search landscape. It is one of the best GEO tools for monitoring AI visibility in 2025.
What are the Key Features of AI Search Grader for GEO?
- Brand Visibility Analysis in AI search results
- Sentiment and Share of Voice Scoring
- Competitor Comparison Metrics
- Actionable Insights for Optimization
- Free tool for marketers to monitor their brand visibility
Who Should Use AI Search Grader?
Suitable for marketers, SEO professionals, and business owners seeking a quick and accessible way to assess and improve their brand’s visibility in AI-driven search environments. As it is free, it is among the top GEO tools for small businesses in 2025.
What are the Pros and Cons of Using AI Search Grader?
Pros
- Free and easy to use
- Provides clear, actionable insights
- Integrates well with HubSpot’s ecosystem
Cons
- Limited to analysis; does not offer optimization tools
- May not provide in-depth data for complex strategies
At HubSpot, we’ve always given marketers the tools they need to connect with their customers and drive growth. We did it with our Website Grader that helped millions of marketers optimise for search engines.
And we’re doing it today with the launch of AI Search Grader, the first free tool that helps brands understand how they show up in Large Language Models (LLM) and AI search.
What marketers have been doing for years to attract customers won’t be as effective in the future. People just aren’t using traditional search like they used to. As the tides are turning toward AI search, we want to help marketers stand out and get discovered in this new environment. – Nicholas Holland, VP of Product and GM of Marketing Hub at HubSpot
Which GEO Tools Are Best for AI Visibility, and How Do They Compare?
With so many tools claiming to help with AI content optimization, which ones actually move the needle for Generative Engine Optimization?
Here’s a comparison of the top GEO tools that digital marketers, SEOs, and content strategists should consider in 2025.
| Tool | Core Use Case | Key GEO Functionality | Integrations / Compatibility | Best For | Requires Dev Setup | Starting Price | Rating (⭐) |
|---|---|---|---|---|---|---|---|
| KIVA | Keyword segmentation + content outlines | Groups queries for LLMs, builds AI-ready outlines using semantic data | ✅ Google Search Console ✅ Bing, Gemini, Perplexity API mapping |
SEO leads, strategists | ❌ | $39.99 per month | ⭐️⭐️⭐️⭐️☆ (4.7) |
| Profound | LLM brand tracking + query surveillance | Monitors citations in AI engines, tracks brand mentions across generative platforms | ✅ ChatGPT ✅ Claude ✅ Gemini ✅ Perplexity ✅ Webhook alerts |
PR teams, brand managers | ❌ | $49.99 per month | ⭐️⭐️⭐️⭐️⭐️ (4.5) |
| Athena HQ | Editorial planning + topic authority | Scores content for topical depth and clusters queries for AI visibility | ✅ Internal CMS export ✅ Google Docs ❌ No direct LLM API link |
Content teams, agencies | ❌ | $270 per month | ⭐️⭐️⭐️⭐️☆ (4.2) |
| Otterly AI | Prompt-readiness + AI visibility auditing | Simulates LLM queries, grades prompt clarity and SGE compatibility | ✅ ChatGPT API ✅ Claude ✅ Google SGE simulation ❌ No GSC sync |
Copywriters, SEO specialists | ❌ | $29 per month | ⭐️⭐️⭐️⭐️☆ (4.3) |
| Prerender.io | Server-side rendering for crawlability | Delivers bot-optimized HTML for JavaScript-heavy sites | ✅ Googlebot ✅ Bingbot ✅ ChatGPT crawler ✅ Headless CMS support |
Tech teams, SaaS platforms | ✔️ | $90 per month (also offers a free plan) | ⭐️⭐️⭐️⭐️☆ (4.1) |
| Goodie AI | AI content workflow optimization | Uses AI to score, optimize, and structure for LLM-friendly performance | ✅ Google Search Console ✅ OpenAI ✅ Multilingual content checks |
Growth marketers, solopreneurs | ❌ | $50 per month | ⭐️⭐️⭐️⭐️☆ (4.4) |
| Semrush | Enterprise SEO + AI content visibility | Tracks AI keyword rankings, SGE inclusion, and competitor AI exposure | ✅ Google SGE ✅ LLM traffic trend graphs ✅ GSC + API |
Agencies, enterprise teams | ❌ | $129.95 per month | ⭐️⭐️⭐️⭐️⭐️ (4.8) |
| Scrunch AI | Prompt SEO and brand content testing | Evaluates prompt success, AI query rankings, and brand tone in LLMs | ✅ ChatGPT ✅ Claude ✅ Perplexity ✅ Tone analysis tool |
Brand editors, prompt engineers | ❌ | $300 per month | ⭐️⭐️⭐️⭐️☆ (4.2) |
| HubSpot AI Search Grader | LLM content scoring + optimization | Grades your site for AI readiness and visibility in overviews | ✅ Google Overviews ✅ GPT visibility grading ✅ CRM sync |
Marketing teams, SMBs | ❌ | Free | ⭐️⭐️⭐️⭐️☆ (4.0) |
- Optimization: KIVA, Athena HQ, Goodie AI
- Technical: Otterly AI, Prerender.io, Scrunch AI
- Tracking: Profound, Semrush, HubSpot’s AI Search Grader
What advanced tools can I utilize for GEO that provide in-depth insights on AI-generated brand mentions?
Which is the best geo tool for tracking AI trends?
What platforms provide live recommendations to improve geo visibility post-publication?
What tools offer automated content structuring for GEO performance?
How to Select the Right GEO Tool for Your Business?
Selecting the right GEO tool means aligning it with your content, tech setup, and visibility goals. Use these criteria to make an informed decision:
- Platform Coverage: Ensure the tool supports major AI platforms like ChatGPT, Perplexity, Claude, and Google Gemini.
- Content Intelligence: Look for keyword clustering, topic depth scoring, and outline generation tailored to LLMs.
- Real-Time Monitoring: Prioritize tools that track brand mentions and citations in AI results with daily or weekly updates.
- Prompt Optimization: Choose tools that simulate LLM queries and grade your content for SGE and AI snippet readiness.
- Integration Compatibility: Tools should sync with GSC, CMS platforms, analytics dashboards, or offer API support.
- Ease of Use: Favor intuitive dashboards and minimal learning curves, especially for non-technical users.
- Technical SEO Support: JavaScript-heavy sites need tools like Prerender.io to improve crawlability and indexation.
- Pricing and Scalability: Evaluate if the tool fits your budget now and scales with your team or enterprise needs.
- Semantic Coverage Awareness: Consider whether the tool helps assess how your content performs across AI-generated subtopics. Tools that account for Query Fan-out can reveal how a single user query is split into multiple sub-questions, offering deeper insights into your AI visibility footprint.
How Do I Optimize Content Using the Best GEO Tools in 2025?
From my own experience, optimizing for GEO goes beyond traditional SEO. It’s about making sure your content speaks the language of AI engines and gets picked up in their answers.
I used KIVA while working on a blog about AI agents at AllAboutAI.com, and it completely shifted how I plan and write. KIVA helped me uncover real user intent, not just surface-level keywords.
In the LLM Optimization section, I could see how my queries performed across OpenAI, Gemini, Claude, DeepSeek, and Llama, which made it easier to align my content with the platforms that matter.
The Social Discussion Detector showed me what people were actually talking about on platforms like Reddit and LinkedIn. This helped me match my blog with ongoing conversations.
KIVA’s Content Brief feature gave me a clean outline with semantically related keywords, key headings, and real user questions from People Also Ask. It saved time and made my content more structured and useful.
After publishing, I ran the blog through Prerender.io to make sure all dynamic elements were visible to AI crawlers. Since my site uses JavaScript, this step ensured that tools like ChatGPT and Perplexity could properly access and interpret the content.
This combination helped the blog gain visibility in generative results, and I now use the same workflow for most of my long-form content.
How to Track GEO Performance for Your Marketing Strategy?
To effectively track GEO metrics and measure your strategy’s performance, consider monitoring these essential elements:
- AI Visibility Score: Track how frequently your brand or content appears in AI-generated answers using SEO and analytics tools designed for generative engines.
- Source Citations: Monitor instances where AI platforms reference your content as authoritative, using tools that identify content citations and backlinks.
- Competitive Benchmarking: Regularly assess and compare your AI-driven visibility against competitors by using competitive analysis tools like Ahrefs or SEMrush.
- Sentiment Analysis: Use sentiment analysis tools to review AI-generated content about your brand, ensuring accuracy, positivity, and brand consistency.
- Audience Engagement: Leverage Google Analytics and other audience tracking tools to evaluate user interactions, such as clicks, dwell time, and conversions, stemming from AI-generated content.
- Response Relevance: Review and analyze AI-generated answers to user queries to ensure your keywords and content align closely with user intent, employing semantic analysis and keyword optimization tools.
Tracking these metrics consistently provides actionable insights, helping refine your GEO strategy and boost marketing effectiveness.
What Experts Say About Generative Engine Optimization?
I also checked online communities to see what experts are saying about Generative Engine Optimization tools:
Here is an another post from an expert in digital marketing:
What People are Discussing on Reddit about GEO?
The OP highlights the growing buzz around Generative Engine Optimization (GEO), particularly in the context of tools like Google AI Overviews, ChatGPT, and Perplexity.
Summary of the discussion:
- Suggests adding AI-specific metadata, like llms.txt files (akin to robots.txt) and dedicated API endpoints that respond with JSON for LLM crawlers.
- Notes, however, that there’s no guarantee GPT-based tools will acknowledge or use your content, even with technical setups.
- Cites a real-world example: a friend with a popular tech blog (focused on backend development) gets cited frequently by ChatGPT and Claude without doing any SEO or GEO; implying that authority and content quality still outweigh hacks.
Is there a Roadmap or Framework for Improving GEO Strategy?
Yes, if you want your content to consistently appear in AI-generated answers, you need more than just tools. You need a clear GEO maturity roadmap that shows what stage you’re at and what actions to take next.
Below is a 4-stage GEO Maturity Ladder that outlines how brands evolve from basic awareness to full generative visibility.
Use this to benchmark your progress and identify the best GEO tools that support each stage:
| Stage | GEO Focus | Goal | Recommended Tool(s) |
|---|---|---|---|
| 1. Awareness | Understanding LLM visibility & prompt-based search | Get familiar with how ChatGPT, Gemini, and Perplexity source content | KIVA |
| 2. Measurement | Monitoring citations, mentions, and LLM traffic | Track brand visibility across AI platforms | Profound, Otterly AI |
| 3. Optimization | Structuring content to be picked up by AI | Align with LLM query patterns and optimize for AI readability | Athena HQ, Otterly AI, KIVA |
| 4. Technical Enablement | Ensuring crawlability and speed for AI bots | Make JS-heavy or headless sites visible to AI engines | Prerender.io |
This ladder helps you diagnose weak points in your current GEO strategy. Whether you’re just getting started or fine-tuning for SGE dominance, there’s a tool and a stage that fits your journey.
What tools map readability improvements to visibility gains across AI platforms?
What platforms compare GEO content structure against top AI-visible competitors?
What tools offer GEO-targeted generative search reporting by language and region?
What platforms support prompt-based testing of GEO-optimized content?
What tools integrate GEO scoring into the CMS for real-time optimization?
Which tools recommend content changes to improve GEO performance?
What are the AI Search Engine Market Share Trends in 2025?
A recent chart from First Page Sage illustrates the market share distribution among leading AI search engines:
This chart highlights the significant lead of ChatGPT in the AI search engine space, emphasizing the importance of optimizing content for such platforms.
FAQs – Best GEO Tools in 2025
What are the top GEO platforms with GSC integration?
Which GEO tools offer content outline generation with LLM inputs?
Why is my GEO-optimized content not appearing in AI overviews?
Are there any GEO tools made specifically for local SEO?
Which GEO tools track SGE exposure?
What tools show which brand narratives resonate and are retained by AI engines?
Conclusion
Generative Engine Optimization is no longer optional. If you want your content to show up in AI-generated answers, using the best GEO tools is a smart move. Tools like KIVA, Profound, and Otterly AI help you stay visible where it matters most.
Have you tried any of these tools? Or do you have another favorite that works well for GEO? Share your thoughts in the comments. I’d love to know what tools are helping you get noticed in the world of AI search.
