Top Generative Engine Optimization (GEO) Tools for 2026

Generative Engine Optimization (GEO) is quickly becoming a core part of modern marketing (if you couldn’t tell by how much we talk about it on our website). AI search engines like ChatGPT, Gemini, and Perplexity are reshaping how people discover and evaluate information, with new features coming out seemingly every week. Today, visibility now means being cited inside AI-generated answers, not just search results.

For marketers, that shift requires new tools and a new mindset. GEO sits at the intersection of SEO, content strategy, and AI, helping brands understand how large language models read, interpret, and reference their content.

At NoGood, we’ve spent the past two years testing how these models source, interpret, and surface content. This guide distills what we’ve learned: what GEO actually is, how to measure your performance, and which tools can help your brand stay discoverable in 2026 and beyond.

What Is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of optimizing your content to appear in AI-generated answers from platforms like ChatGPT, Google Gemini, and Perplexity.

Unlike traditional SEO, which focuses on ranking in search results, GEO is about influencing how large language models (LLMs) read, interpret, and cite your brand when responding to user prompts.

For marketers, GEO means adapting your content so AI systems see it as trustworthy, contextually accurate, and worth mentioning, whether that’s a direct citation, brand reference, or embedded example in an AI response.

Why GEO Matters for Businesses

AI search is changing how people discover and trust information. Instead of browsing through pages of results, users increasingly turn to tools like ChatGPT, Gemini, and Perplexity for direct, conversational answers.

That behavior is already influencing purchasing decisions: more than 60% of consumers have used conversational AI for shopping. Users are growing more comfortable asking AI what to buy, where to go, and which brands to trust, making visibility within those AI answers business-critical.

GEO helps brands stay part of that discovery process. It ensures your business is accurately represented in AI responses and positioned competitively among the sources these models most often reference. For marketers and business leaders, that means greater authority, sustained visibility, and a stronger voice in how AI engines describe your category.

How Is GEO Performance Measured?

GEO success isn’t just about whether your brand appears in AI answers… it’s about how often, how accurately, and how favorably it appears. Measuring that performance gives us marketers the data to understand where a brand stands and where to optimize next.

Here are the key metrics to track your generative engine optimization performance:

• AI Visibility Score: How frequently your brand or content appears in AI responses across engines like ChatGPT, Gemini, and Perplexity.
• Source Citations: The number of times AI models directly reference or link to your website or content.
• Share of Voice: Your percentage of mentions compared to competitors within a given category or topic.
• Sentiment Accuracy: Whether AI describes your brand positively and aligns with your intended messaging.
• Query Coverage: The breadth of prompts or topics where your brand is recognized or cited.
• Factual Alignment: Whether the details AI shares about your brand are factually correct and up to date.

Together, these metrics provide a clearer picture of how AI systems interpret and present your brand and whether that story reflects reality.

The GEO Tools Market: Where It Stands Today

The generative engine optimization (GEO) tool landscape is still taking shape, but it’s growing fast (I have the proof in my LinkedIn inbox). Startups, analytics platforms, and SEO giants alike are racing to help marketers understand how their brands appear inside AI answers.

Most tools fall into two main buckets:

• Monitoring platforms that track when and how your brand is mentioned in AI responses.
• Optimization platforms that go a step further by offering recommendations to improve how AI interprets and cites your content.

The differentiators come down to depth. While lighter tools give you a snapshot of visibility, advanced platforms combine cross-engine tracking, sentiment accuracy, and optimization guidance for a full picture of your AI presence.

Quick Comparison: Top 15 Generative Engine Optimization (GEO) Tools for 2026

The Best GEO Tools for 2026

Alright folks, here’s what you’ve been scrolling for.

We tested and analyzed dozens of emerging generative engine optimization (GEO) platforms to find which ones actually help brands monitor, optimize, and scale their AI search visibility. While the market is still evolving, a few players are already setting the standard for 2026.

#1 Best Overall GEO Platform: Goodie AI

Founded: 2023 | Headquarters: New York City, USA | Pricing: Free AI visibility audit available; custom pricing

​​Goodie AI remains the most complete GEO platform on the market. It tracks how your brand appears across engines like ChatGPT, Gemini, Perplexity, Claude, Copilot, and DeepSeek and then pairs that visibility data with actionable optimization guidance.

Unlike SEO-first platforms experimenting with AI add-ons, Goodie was built for GEO from day one. It combines monitoring, optimization, attribution, and content intelligence in a single system.

Key Features:

• Real-time AI visibility tracking across 10+ major engines
• Optimization Hub that recommends schema, entity, and content updates
• Attribution workflows linking AI visibility to traffic and revenue impact
• Topic Explorer for identifying new prompt clusters and coverage gaps
• Multilingual and regional tracking for global brands

Best for: Enterprises or scaling teams serious about owning their narrative in AI search.

Pros:

• Most comprehensive monitoring and optimization stack
• Real-time updates and detailed reporting filters
• Built specifically for GEO and AEO (not retrofitted SEO tech)

Cons:

• Premium pricing; designed for teams ready to operationalize GEO fully
• Does not currently include traditional SEO modules

#2: HubSpot’s AEO Grader

Founded: 2025 | Headquarters: Cambridge, Massachusetts, USA | Pricing: Free

HubSpot’s AI Search Grader offers an easy, no-cost way for marketers to understand how their brand appears in AI-generated search results. It scans engines like ChatGPT, Perplexity, and Gemini to evaluate how often your brand is mentioned, the tone of those mentions, and how you stack up against competitors.

While it’s not a full GEO platform, the Grader makes AI visibility tangible for marketing teams that want to get a baseline before investing in deeper tools. It’s particularly helpful for diagnosing whether your brand is being cited accurately or overlooked entirely.

Key Features:

• Free visibility snapshot across leading AI engines
• Share of voice and sentiment scoring
• Competitor benchmarking and positioning insights
• Narrative and theme mapping to show how AI describes your brand
• Simple, no-login interface for quick testing

Best for: Marketers or small teams looking to gauge their brand’s AI visibility without committing to an enterprise platform.

Pros:

• Completely free and easy to use
• Clear snapshot of AI visibility and sentiment
• Great entry point for teams new to GEO

Cons:

• Limited to snapshot insights (no ongoing tracking or alerts)
• Doesn’t provide prescriptive optimization recommendations
• Coverage currently focused on ChatGPT, Gemini, and Perplexity

#3: Otterly AI

Founded: 2024 | Headquarters: Vienna, Austria | Pricing: Starting at $29/month

Otterly AI makes GEO accessible for small teams and startups with an intuitive dashboard that tracks when and how your brand appears in AI-generated answers. It monitors visibility across ChatGPT, Gemini, Perplexity, and other engines, giving marketers a clear sense of where they stand without overwhelming complexity.

Designed with usability in mind, Otterly translates prompt-level visibility data into digestible insights. While it doesn’t go as deep as enterprise platforms, it’s an excellent choice for marketers who want to understand their AI presence and identify early opportunities to improve it.

Key Features:

• Brand and citation tracking across major AI engines
• Prompt and keyword analysis to convert SEO insights into AI prompts
• Weekly visibility reports and alert notifications
• Link and domain citation breakdowns
• GEO audit tool for visibility health checks and gap detection

Best for: Startups and SMBs that want an affordable, easy way to monitor AI visibility and brand mentions.

Pros:

• Budget-friendly entry point for GEO tracking
• User-friendly dashboard with clear reporting
• Prompt-level insights to connect SEO and AI discovery

Cons:

• Limited optimization recommendations beyond visibility reports
• Prompt and data caps on lower-tier plans
• Visibility tracking can fluctuate as AI engines evolve

#4: WriteSonic

Founded: 2020 | Headquarters: San Francisco, USA | Pricing: Free plan available; paid plans start at $250/month

Writesonic is a GEO AI visibility platform that helps brands show up inside AI-generated answers, not just rank on Google. While it started as an AI content creation tool, Writesonic has evolved into a hybrid solution that combines content generation, AI visibility tracking, citation analysis, and brand monitoring in one workflow.

Teams can identify which queries trigger AI answers, see how often their brand is cited across platforms like ChatGPT, Gemini, and Claude, understand which sources AI systems trust, and then immediately optimize content to close visibility gaps all without switching tools.

Key Features:

• AI visibility and citation tracking across leading LLMs
• Query-level insights into what drives AI mentions and answer inclusion
• Built-in AI writing and optimization tools for fast GEO-focused content fixes
• AI Traffic Analytics to see which pages attract AI crawlers
• Action Center to uncover missed AI visibility opportunities

Best for: Agencies and enterprises looking to manage, optimize, and improve their brand visibility across AI-generated answers.

Pros:

• AI visibility tracking across LLMs
• Prompt tracking reveals which user questions trigger brand mentions across AI platforms
• Sentiment analysis shows how your brand is framed inside AI-generated answers (positive, neutral, or negative)

Cons:

• Engine coverage still expanding
• Custom pricing

#5: Peec AI

Founded: 2023 | Headquarters: Berlin, Germany | Pricing: Starting at €89/month (~$95 USD)

Peec AI helps marketing teams understand how their brand is mentioned, interpreted, and represented across AI-generated content. It’s built for visibility analytics, tracking citations, sentiment, and competitive presence across platforms like ChatGPT, Perplexity, and Gemini, without the heavy lift of an enterprise setup.

What sets Peec apart is its simplicity: it visualizes AI visibility trends over time, surfaces which pages or assets drive the most citations, and flags shifts in sentiment or competitor share of voice. It’s particularly well-suited for agencies or small teams managing multiple brands.

Key Features:

• Multi-engine visibility and sentiment tracking
• Citation frequency and position metrics (first mention vs. lower placements)
• Competitor benchmarking dashboards
• Alerts for visibility or sentiment changes
• API and CSV exports for reporting integration

Best for: Agencies and mid-sized marketing teams managing multiple brands or clients looking to benchmark AI visibility at scale.

Pros:

• Combines visibility, sentiment, and benchmarking in one tool
• Real-time tracking with exportable data
• Easy onboarding and lightweight UX

Cons:

• Lacks deep optimization recommendations
• Costs scale quickly with higher prompt volumes
• Regional refresh rates can vary by AI model coverage

#6: RankPrompt

Founded: 2025 | Headquarters: Miami, Florida, USA | Pricing: Starting at $29/month

RankPrompt gives marketers visibility into how their brand appears in AI assistants like ChatGPT, Gemini, Grok, and Perplexity—along with actionable ways to improve those mentions. It blends monitoring and optimization, showing not only where your brand is cited but also why it appears (or doesn’t) in AI-generated responses.

The platform uses a credit-based model, allowing smaller teams to run visibility scans and competitor checks without long-term commitments. Its optimization tips focus on schema, structured data, and prompt alignment, helping bridge the gap between SEO and GEO.

Key Features:

• Prompt and citation tracking across multiple AI assistants
• Competitor benchmarking and trend reporting
• Optimization recommendations for schema and entity alignment
• Credit-based scanning model for flexible use
• Prompt performance insights and share-of-voice comparisons

Best for: Small teams and agencies that want prescriptive, affordable GEO insights without committing to enterprise pricing.

Pros:

• Accessible entry point with a pay-as-you-go structure
• Combines monitoring with actionable recommendations
• Multi-assistant tracking for well-rounded coverage

Cons:

• Limited scalability for large enterprises
• Credit caps can restrict high-volume tracking
• Optimization suggestions may require manual implementation

#7: Gauge

Founded: 2024 | Headquarters: San Francisco, CA | Pricing: Starting at $300 / month

Gauge is an AI visibility platform for teams that want control over their brand presence in generative search. It monitors mentions and citations across ChatGPT, Claude, Gemini, Perplexity, and other engines, and goes beyond basic tracking to deliver gap analyses, competitor benchmarking, and recommendations for improving visibility.

Built by technical teams with deep data expertise, Gauge distinguishes itself through research-driven prompt selection that reflects real user search intent rather than generic “best X” queries. The platform offers an end-to-end workflow (from tracking and analysis to content creation and audit tools), making it ideal for brands that want both strategic insights and tactical execution support in one place.

Key Features:

• Track brand mentions and citations across ChatGPT, Claude, Gemini, Perplexity, CoPilot, and Google AI Overviews
• Identify where competitors appear in AI answers and where your brand is missing, with coverage comparisons and citation breakdowns
• Generate content recommendations and draft articles based on top-performing topics, plus audit tools for optimizing existing pages

Pros:

• Comprehensive end-to-end platform
• Research-driven prompts based on real user search intent
• Strong technical foundation with API access, GA4 integration, and S3 data exports

Cons:

• Requires demo booking (no self-serve onboarding or transparent pricing)
• Steeper learning curve with advanced features that may overwhelm smaller teams
• Newer platform with less established track record compared to enterprise competitors

#8: Relixir AI

Founded: 2025 | Headquarters: San Francisco, USA | Pricing: Free plan available

Relixir is an autonomous layer on top of your existing CMS. Instead of writing static blogs or manually refreshing pages, Relixir deploys specialized agents that monitor keyword movement, AI citations, competitor gaps, social signals, and product changes, then automatically refresh your CMS content to keep it current.

Backed by Y Combinator and trusted by teams at HackerRank, Airwallex, Rippling, and more, Relixir is built for companies that want to win AI Search without rebuilding their content stack.

Key Features:

• AI Search-Visibility Analytics to understand how AI sees your brand
• Competitive Gap Detection to see performance against competitors
• GEO Content Engine for one-click publishing
• Proactive Monitoring with real-time alerts for AI ranking changes

Best for: Enterprise B2B and B2C organizations, particularly those with large eCommerce sites.

Pros:

• True end-to-end GEO platform (monitoring + content automation)
• Fast time-to-value, with AI visibility uplift often seen in days
• Supports both self-serve teams and enterprise use cases

Cons:

• Less venture funding
• Lean team
• Add-on costs for additional advanced features

#9: Rankscale.ai

Founded: 2024 | Headquarters: Vienna, Austria | Pricing: Starting at $20/month

Rankscale.ai helps marketers measure and benchmark how their brand appears in AI-generated search results. It uses a flexible, credit-based model to let teams monitor prompts, analyze citations, and compare visibility across models like ChatGPT, Gemini, and Perplexity—making it a scalable fit for startups and growing marketing teams.

Its strength lies in its breadth of reporting and flexibility. Users can track visibility by prompt, topic, or AI engine and view sentiment, citation frequency, and competitive performance in clear, exportable dashboards.

Key Features:

• Prompt- and topic-level visibility tracking
• Competitor benchmarking and sentiment analysis
• Customizable dashboards and exportable reports
• Brand readiness scoring for AI visibility
• API and integration options for analytics platforms

Best for: Startups and marketing teams looking for customizable, data-rich GEO visibility tracking without enterprise pricing.

Pros:

• Flexible credit-based pricing and usage model
• Combines sentiment, citation, and benchmark tracking
• Strong visualization and reporting capabilities

Cons:

• UI can feel complex for new users
• No built-in optimization or content recommendation layer
• Higher-tier data exports can increase overall cost

#10: Ahrefs (Brand Radar)

Founded: 2010 | Headquarters: Singapore | Pricing: Starting at $99/month

Ahrefs has entered the GEO landscape with its new Brand Radar and AI Visibility features, giving marketers a way to see how their brand is mentioned and ranked within AI-generated responses. Leveraging its extensive backlink, keyword, and content datasets, Ahrefs integrates AI visibility insights directly into the workflows many teams already rely on.

Brand Radar monitors how brands appear across AI assistants and Google’s AI Overviews, providing comparative visibility metrics and share-of-voice data. It’s still early in its GEO evolution, but Ahrefs’ scale and SEO credibility make it a safe, data-rich entry point for marketers exploring AI visibility.

Key Features:

• AI mention and citation tracking across ChatGPT and Google AI Overviews
• Brand Radar dashboard for visibility and sentiment insights
• Integration with Ahrefs’ backlink, content, and keyword data
• Share-of-voice metrics and prompt-level benchmarking
• AI-centric reporting layered onto existing SEO analytics

Best for: Teams already using Ahrefs who want to explore AI visibility insights alongside traditional SEO data.

Pros:

• Deep data ecosystem and reliable SEO infrastructure
• Intuitive interface for current Ahrefs users
• Combines AI visibility with backlink and content analytics

Cons:

• GEO features are new and still limited in scope
• Primarily focused on monitoring, not optimization
• Lacks cross-engine visibility outside Google’s ecosystem

#11: Parse AI

Founded: 2025 | Headquarters: Not publicly listed | Pricing: Starting at $99/month

Parse is an emerging GEO visibility platform built to help marketers see when, where, and how their brand appears across AI search engines. It consolidates mention, sentiment, and ranking data from models like ChatGPT, Claude, and Gemini into clean, digestible dashboards; perfect for teams that want structure without steep learning curves.

What makes Parse stand out is its clarity. Instead of overwhelming users with data, it focuses on straightforward metrics: where your brand is cited, how it’s positioned within AI answers, and how that compares to competitors. For mid-sized marketing teams, it’s an intuitive bridge between light tracking tools and complex enterprise systems.

Key Features:

• Brand mention and citation tracking across major AI engines
• Position and ranking analysis within AI responses
• Competitive benchmarking and visibility scorecards
• Prompt explorer for discovering new keywords and topic opportunities
• Alerts for visibility shifts or citation drops

Best for: Marketing teams looking for structured, easy-to-interpret GEO monitoring and competitor insights.

Pros:

• Clean, intuitive interface with actionable metrics
• Affordable entry into structured GEO reporting
• Built specifically for AI visibility, not retrofitted SEO

Cons:

• Lacks advanced optimization or attribution layers
• Limited historical data compared to older platforms
• Still growing its AI engine coverage

#12: Hall

Founded: 2023 | Headquarters: Sydney, Australia | Pricing: Free tier available; custom pricing for advanced plans

Hall is a GEO and AEO monitoring platform that helps brands understand how their content and websites are cited by AI models. It tracks visibility across ChatGPT, Gemini, Claude, Perplexity, and Copilot, providing insights into which pages are being referenced, how often, and in what context.

Hall’s strength lies in its transparency and simplicity; it offers a free, shareable report that’s perfect for testing visibility before upgrading to deeper analytics. For teams focused on understanding AI citations and crawl behavior, it’s a reliable entry point.

Key Features:

• Brand and page-level citation tracking across multiple AI engines
• Sentiment and share-of-voice analytics
• AI agent and crawler monitoring for discovery insights
• Free visibility snapshot reports
• Conversational commerce tracking for AI-integrated shopping experiences

Best for: Marketing teams and agencies looking to evaluate how AI engines are citing their brand before investing in paid GEO platforms.

Pros:

• Offers a free visibility report with solid cross-engine coverage
• Tracks both AI citations and crawl behavior
• Clear insights for diagnosing how AI models interpret content

Cons:

• Limited optimization or content guidance features
• Deeper integrations locked behind custom enterprise plans
• Refresh cadence and accuracy can vary by model

#13: XFunnel

Founded: 2025 | Headquarters: New York City, USA | Pricing: Starting at $45/month

XFunnel is a newer GEO platform built for experimentation. Rather than just tracking visibility, it helps marketers test and improve how their brand appears in AI-generated answers. XFunnel blends visibility analytics with optimization playbooks and experiment tracking, making it one of the few tools focused on active GEO improvement, not just reporting.

Its emphasis on iterative testing sets it apart: users can identify underperforming prompts, run structured experiments, and measure visibility gains over time. For teams that like to move fast and validate their optimizations, XFunnel is an agile, data-driven option.

Key Features:

• Brand and citation tracking across ChatGPT, Gemini, Claude, and Perplexity
• Prompt analytics and query discovery by region or persona
• Optimization playbooks and experiment tracking
• Sentiment and tone analysis within AI answers
• Competitive benchmarking dashboards

Best for: Marketing teams that want to run structured GEO tests and improve visibility through ongoing experimentation.

Pros:

• Action-oriented platform focused on visibility improvement
• Built-in playbooks make GEO optimization repeatable
• Combines prompt analytics with measurable experiment outcomes

Cons:

• Still building depth in cross-engine coverage
• Limited long-term trend data compared to legacy platforms
• Experiment workflows require initial setup and strategy

#14: Cito

Founded: 2025 | Headquarters: Noida, India | Pricing: Starting at $299/month

Cito helps brands stay on top of how they’re referenced across major generative engines like ChatGPT, Gemini, Copilot, and Google AI Overviews. Its real-time dashboards consolidate citations, sentiment, and share-of-voice data, offering marketers a fast, reliable pulse on brand perception in AI search.

Unlike heavier enterprise GEO suites, Cito focuses on speed and simplicity, giving marketing teams quick, actionable insights without long onboarding or data overload.

Key Features:

• Near-real-time citation and sentiment tracking
• Multi-model coverage across leading AI engines
• Alerts for visibility drops or narrative shifts
• Consolidated dashboards for brand monitoring
• Trend reporting for ongoing performance snapshots

Best for: Marketing teams that want a fast, lightweight way to monitor AI brand mentions and sentiment in real time.

Pros:

• Quick setup and user-friendly interface
• Timely visibility alerts to catch shifts early
• Solid multi-engine monitoring coverage

Cons:

• Primarily diagnostic — lacks optimization tools
• Limited analytics integrations
• Enterprise scalability still developing

#15: Anvil

Founded: 2025 | Headquarters: New York City, USA | Pricing: Starting at $99/month

Anvil calls itself “the SEO platform for the AI era,” but it’s really a GEO visibility engine built for marketers who want to track, compare, and grow their presence in AI search. It monitors brand citations, ranks, and share of voice across engines like ChatGPT, Gemini, and Claude, giving users a clear picture of how often and how prominently their brand appears in AI-generated answers.

Backed by Y Combinator, Anvil moves fast and prioritizes actionable insights. Its query discovery and gap analysis tools help identify prompts where your brand is missing and suggest ways to close the visibility gap.

Key Features:

• Brand visibility tracking and rank measurement across AI engines
• Query discovery and coverage gap analysis
• Share-of-voice and competitive benchmarking
• Optimization suggestions for improving inclusion in AI answers
• Daily or weekly visibility trend reporting
  

Best for: Growth and marketing teams that want fast, visual reporting on AI visibility and competitive standing.

Pros:

• Clear dashboards and intuitive UX
• YC-backed with rapid feature development
• Great for identifying prompt gaps and missed visibility opportunities

Cons:

• Optimization recommendations remain surface-level
• No deep attribution or crawler analytics
• Prompt caps can limit large-scale enterprise tracking

How to Choose the Right GEO Tool for Your Business

The right GEO platform depends on your team’s size, goals, and how deeply you want to integrate AI visibility into your marketing stack. While some tools focus on simple monitoring, others go full circle, connecting visibility data to performance and optimization workflows.

Here’s what to consider before committing:

1. Platform Coverage: Make sure the tool tracks across all major AI engines — ChatGPT, Gemini, Perplexity, Claude, Grok, and Google’s AI Overviews. The more engines covered, the clearer your true visibility picture.
2. Real-Time Monitoring: AI search evolves daily. Look for tools that update frequently (ideally daily or weekly), with alerts when your visibility changes or a competitor overtakes you.
3. Actionable Insights: Data without direction is just noise. Prioritize platforms that not only show where you stand, but recommend how to improve — schema updates, entity additions, prompt targeting, or content structure adjustments.
4. Integration & Scalability: Your GEO stack should play nicely with your SEO and analytics tools — GA4, GSC, HubSpot, or BI dashboards — and scale as your brand grows.
5. Accuracy & Hallucination Checks: This is a newer must-have. As AI engines sometimes “hallucinate” brand details, choose tools that track not just mentions, but whether those mentions are accurate and on-brand.
6. Usability & Cost: A fancy dashboard means nothing if your team doesn’t actually use it. Look for clean interfaces, easy exports, and transparent pricing models that fit your workflow.

Final Thoughts

Generative Engine Optimization is the next frontier of visibility for businesses. As AI search quickly becomes one of the default ways people discover information, your brand’s presence in those answers will determine its reach, reputation, and relevance.

Whether you’re just dipping your toes in the GEO waters with free tools like Hall and HubSpot’s AI Search Grader, or building a long-term strategy with Goodie AI, the key is to start measuring now. Every month you wait, AI models continue learning, and if they’re not learning from your content, they’re learning from someone else’s.

At NoGood, we’ve seen firsthand how early GEO adoption changes the game for brands. The companies leaning into AI visibility today are the ones setting the standard tomorrow.

Generative Engine Optimization (GEO) Tools: FAQs