The 20 Best Generative Engine Optimization Tools (GEO Tools) for 2025
Explore the evolving GEO landscape, compare 20 leading tools, and see why Goodie ranks #1 for brands looking to win visibility and citations in AI-generated answers.
Julia Olivas
November 14, 2025
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If you thought Generative Search Optimization (GEO) is optional, think again. GEO is crucial to staying visible as AI search engines like ChatGPT, Google’s Gemini, and Perplexity redefine how people find and consume information online. Traditional SEO isn’t dead, but it is evolving into a discipline that requires new strategies to earn your spot as a citation in AI answers.
New to GEO? Don’t worry. We’re breaking down what GEO actually is, how to measure your brand’s performance in AI search, and the tools that will give you an edge. Our team has done the heavy lifting so you marketers, brand founders, and SEO pros can focus on what matters most: being visible in the age of AI.
What is Generative Search Optimization (GEO)?
Since AI search tools like ChatGPT entered the public scene back in 2022, us marketers have been moving fast to set the standard in the AI search marketing industry. You’ve probably heard not only GEO, but also AI SEO, and AEO (answer engine optimization), all being used somewhat interchangeably. But is there a difference between the three? Well yes. Yes, there is.
Generative Search Optimization (GEO) is the practice of optimizing your content so it shows up in AI-generated answers—whether that’s a citation in ChatGPT, a mention in Perplexity, or a sourced snippet in Google Gemini.
This differs from traditional SEO, which focuses on ranking in SERPs (search engine results pages). But with GEO, the win isn’t a “blue link”, but getting your brand referenced directly in AI search engines.
Here’s what sets GEO apart:
AI SEO: The broad umbrella of adapting SEO to the AI era, covering everything from technical crawlability to AI search behaviors.
AEO (Answer Engine Optimization): Optimizing specifically for direct answers in AI and search engines (think featured snippets or one-line AI summaries).
GEO (Generative Search Optimization): Optimizing for long-form, contextual AI responses—making sure your content is what LLMs pull in, cite, and explain with.
GEO in practice means focusing on:
Creating content that’s clear, consistent, and factually accurate.
Establishing your brand as a trusted, repeatable reference for AI models.
Structuring content for AI’s contextual understanding, not just keyword matching.
Building sites that AI crawlers and agents can parse and connect easily.
Success in Generative Engine Optimization (GEO) is more than just about showing up in your customers’ LLM of choice. It’s also about how often, how accurately, and how prominently your brand appears in AI answers. Here’s what you need to track:
Core GEO Metrics
AI Visibility Score → Frequency of your brand or content appearing in AI-generated responses.
Source Citations → How often AI platforms reference or link to your content.
Competitive Benchmarking → Measuring your brand’s presence compared to competitors in AI answers.
Sentiment Analysis → Ensuring AI portrays your brand accurately and positively.
Advanced GEO Metrics
Query Coverage → The range of branded and unbranded queries where your content is cited.
Answer Positioning & Depth → Where your brand appears (top mention vs. buried) and how much detail it gets in responses.
Answer Share of Voice → The proportion of mentions your brand holds within an AI answer compared to others.
Factual Alignment → Whether AI accurately represents your brand’s facts, features, and messaging (vs. hallucinations). Link Attribution → Tracking when citations include clickable links (critical for traffic and conversions).
Temporal Persistence → How long your content remains referenced across AI engines over time.
Multimodal Visibility → Monitoring whether your brand appears in AI outputs beyond text (voice, images, or other formats).
Just like when you open up GA4, it's not just one metric you’re looking at. It’s many metrics that show you the whole picture. Tracking a mix of these core and advanced metrics provides a more complete picture of your GEO strategy’s effectiveness. This helps identify not only whether you’re being mentioned but also how effectively those mentions drive visibility, accuracy, and influence.
Overview of the Market for GEO Tools
The market for GEO tools is still somewhat young, but startups everywhere are looking to be the next SEMrush of AI search tools. Most of these tools fall into two buckets: visibility monitoring platforms (measuring when and how brands appear in AI answers) and optimization-driven platforms (helping improve that visibility with actionable recommendations).
While the field is still maturing, several players are beginning to separate themselves by offering more advanced capabilities.
Features
Many GEO tools start with the same core feature: visibility monitoring. This typically involves running thousands of prompts across ChatGPT, Google Gemini, Perplexity, and other AI engines to determine when and how a brand is mentioned. The differentiator lies in:
Depth of reporting → Some tools stop at surface-level “yes/no” visibility checks, while others break down citations by platform, query type, and positioning within answers.
Competitive insights → Stronger tools benchmark your brand’s share of AI answers against key competitors.
Accuracy checks → Some platforms flag whether brand mentions are factually aligned or AI hallucinations.
Optimization Capabilities
This is where the GEO market is still catching up. Many tools provide insight, but leave marketers to figure out the action plan. More advanced players are starting to close that gap by offering:
Content optimization recommendations (which sections to improve, what entities to add, how to structure data).
Playbooks for AEO/GEO integration to align with technical SEO and structured data best practices.
Proactive monitoring that alerts when competitors overtake your brand in AI visibility.
Pricing
The space splits into two tiers:
Lightweight/SMB tools → Affordable, but usually limited to visibility snapshots. They’re good for getting a directional sense of presence, but often lack depth.
Enterprise platforms (e.g., Goodie, Scrunch, Profound) → More accurate and robust, offering deeper analysis, historical tracking, and optimization guidance. These tools deliver stronger ROI for larger teams but come at a premium price point.
GEO Market Dynamics
Rapid growth → New entrants launch monthly, often with niche specialties (like Perplexity-only monitoring or sentiment analysis add-ons).
Geographic hubs → New York City is emerging as the de facto “GEO capital,” with many of the leading players headquartered there, while European firms are beginning to explore compliance-driven GEO solutions.
Convergence with SEO tools → Established SEO suites (e.g., Semrush, Ahrefs) are experimenting with AI search modules, signaling that GEO may soon become a built-in feature rather than a standalone category.
How to Choose the Right GEO Tool
With dozens of options and more and more popping up every quarter, choosing the right GEO tool depends on your team’s size, goals, and budget. Here are some factors to prioritize in your search:
Platform Coverage → Ensure the tool tracks across all major AI engines (ChatGPT, Google Gemini, Perplexity, Claude, Grok, AI Overview) and supports regional platforms if relevant.
Real-Time Monitoring → Look for platforms that update frequently, not just monthly snapshots, so you can react quickly to shifts in visibility.
Actionable Insights → Go beyond dashboards; the best tools provide specific optimization guidance instead of just raw data.
Integration → GEO should plug seamlessly into your SEO, analytics, and reporting stack (e.g., GA4, GSC, BI dashboards).
Ease of Use → Prioritize clean dashboards and intuitive workflows. A tool is only valuable if your team actually uses it.
Pricing & Scalability → Watch for transparent pricing models and the ability to scale from SMB needs to enterprise demand without switching platforms.
Accuracy & Hallucination Checks → A newer must-have — monitoring not just if you’re cited, but whether AI platforms are getting your brand details right.
The right GEO tool is the one that not only shows you where you stand today but also gives you a roadmap for improving visibility tomorrow.
Why Goodie Ranks #1
Goodie AI sets itself apart by being the only end-to-end platform that doesn’t just show where you rank in AI search, but also helps you improve, attribute, and act on that visibility. Its AI-native design makes it more accurate and forward-looking than SEO-first competitors experimenting with AI add-ons. For brands serious about GEO, it’s the gold standard in 2025.
Pricing: Starts at $495/month with custom enterprise tiers available. Final costs scale based on prompt volume, topics, and brand scale.
Founded: 2023
Headquarters: New York City, USA
Goodie AI is the foundational GEO/AEO platform built to help brands monitor, optimize, and attribute visibility in AI answer engines. Rather than retrofitting AI onto SEO, Goodie treats AI search as the core “front door” — it lets you own how LLMs talk about your brand across engines like ChatGPT, Gemini, Claude, and beyond.
Key GEO Features:
Built for GEO/AEO from Day One — Unlike legacy SEO tools bolting on AI modules, Goodie was conceived for Answer Engine Optimization (AEO) and Generative Search Optimization (GEO). It combines visibility tracking, optimization, attribution, and content creation in one AI-native platform.
Research-first, data-driven foundation — Goodie published the AEO Periodic Table 2025, a study analyzing over 1 million prompts across multiple LLMs (ChatGPT, Gemini, Claude, Grok, Perplexity). From that, 15 core elements influencing AI visibility were derived and embedded into Goodie’s optimization engine.
Broad model coverage — Goodie tracks visibility across a wide range of platforms: ChatGPT, Google AI Overviews/AI Mode, Gemini, Claude, Perplexity, DeepSeek, Grok, Meta AI, Microsoft Copilot, and more.
Action layer, not just dashboards — Goodie doesn’t just show you where you stand. Its Optimization Hub supplies semantic recommendations, schema hints, entity suggestions, outreach hooks, and prompt-level fixes.
Topic Explorer & gap detection — Goodie surfaces content gaps, trending prompts, and topic clusters your brand is under-indexing in AI visibility, helping you expand coverage where opportunity is highest.
Attribution & traffic linkage — Goodie connects AI mentions back to business metrics, tracking how AI visibility contributes to traffic, conversions, and revenue impacts.
Global + multilingual support — Goodie is built to scale across multiple geographies and languages, letting brands monitor AI visibility in region-specific contexts.
Thought leadership & brand trust — Goodie publishes open research (like the AEO Periodic Table), teaches courses on AEO, and positions itself as a category creator. This helps readers, prospects, and the inbound ecosystem see Goodie not just as a tool, but as a source of authority.
User feedback & third-party praise — Independent reviews often cite Goodie’s complete “action + insights + attribution” stack, friendly UI, global reach, and dominance across prompt sets. One review said, “Best overall for mid-market & enterprise, with the strongest action layer and broadest model coverage: Goodie AI.”
Pros:
Most comprehensive GEO suite — monitoring, optimization, content, analytics, and attribution in one platform across all major AI search engines.
Real-time/near-real-time tracking with granular filters (region, language). Goodie updates itself every day.
First true AI-native GEO tool (not an SEO or content marketing add-on).
User-friendly dashboards with real-time insights.
Tracks across nearly all AI platforms (ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Grok, and more).
Highly actionable Optimization Hub that translates insights into step-by-step improvements.
Attribution integrations (GA4/Adobe) and export workflows.
Limitations:
Market caveat: AI engines evolve quickly; visibility can fluctuate even with strong tracking. Goodie mitigates this with hourly updates and alerts, but variance is an industry reality.
AI Search Suite: Goodie focuses on visibility in AI, not traditional search engines and SEO. If you’re looking for a 2-for-1 deal, you won’t find it here, but you will find one of the most robust GEO & AEO tools on the market.
Best Free & Low-Cost GEO Tools
These tools are perfect for startups, small teams, or anyone testing the GEO waters without investing in enterprise software. From free graders like HubSpot and Hall to more affordable monthly plans from Otterly, RankPrompt, and RankScale, these platforms give you visibility data, citations, and sentiment insights at a fraction of the cost. While you’ll trade off some depth and advanced optimization, they’re a reliable entry point into understanding how AI search engines perceive your brand.
Pricing: Free and available to anyone with a brand/domain to test.
Founded: HubSpot launched the AI Search Grader (AEO Grader) in February 2025 as part of its push from “SEO → LMO (Language Model Optimization).
Headquarters: Cambridge, Massachusetts
HubSpot’s AI Search Grader (also known as their AEO/AI Engine Optimization Grader) is a free brand visibility tool designed to measure how your brand is perceived and cited by AI search engines like ChatGPT, Perplexity, and Gemini. Rather than acting as a full GEO platform, it gives you a snapshot of your AI visibility and shows you narrative/sentiment context.
Key Features:
Overall AI Grade/Score, which is a composite measure of your brand’s visibility, share of voice, and sentiment across AI engines.
Share of Voice (SOV)/Visibility Metrics show how often your brand appears relative to competitors in AI-generated results.
Brand Sentiment Analysis reports on the tone (positive/negative/neutral) of how AI mentions your brand.
Narrative/Theme Insights identifies key topics, associations, and contexts that AI engines link to your brand.
Competitor Benchmarking/Market Positioning classifies your brand as a “Leader/Challenger/Niche” based on AI representation and compares you to peer brands.
Pros:
Free — There’s no cost for marketers who want to test or benchmark their brand’s AI visibility.
Easy to use/quick insights — Because it’s not a full platform, the setup is minimal.
Good for benchmarking & awareness — If you want a pulse check of how AI engines see your brand today, this tool gives immediate feedback.
Limitations:
It doesn’t provide deep optimization recommendations (e.g. “rewrite this sentence for better AI citation”) — it’s more diagnostic than prescriptive. (The publicly listed features focus on evaluation vs generation.)
It covers only a subset of AI engines (ChatGPT, Perplexity, Gemini) — newer or alternative LLMs may not be included yet.
It’s a one-time or snapshot tool (rather than continuous monitoring or alerting).
You cannot control which competitors it benchmarks or narrow its visibility analysis to your own prompt set — it picks the competitors and prompts it deems relevant. (One third-party writeup notes this limitation.)
Hall offers a limitedfree tier/free report option, letting you test visibility without signup or cost.
For serious monitoring, detailed plans and pricing are available via “Talk to Sales” (i.e., custom/tiered pricing).
Founded: 2023
Headquarters: Sydney, Australia
Hall is an AI visibility and GEO/AEO (answer engine optimization) monitoring platform that helps brands understand how their content and website are cited and used by AI. It surfaces insights about brand mentions, citations, and how AI agents crawl your site—all from one dashboard.
Hall supports monitoring across major conversational and generative platforms (ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude, Copilot, DeepSeek, Meta AI, and more).
Key Features:
Generative Answer Insights tracks where your brand or site is mentioned in AI-generated responses; monitor sentiment, share of voice, and positioning.
Website Citation Insights so you can see which pages on your site are cited and how frequently across AI responses.
Agent Analytics & AI Crawler Monitoring enables observation into how AI agents and crawlers evaluate your site and tie those behaviors to citation and conversational data.
Conversational Commerce Tracking for use cases with embedded e-commerce or transactional flows in AI interfaces, track performance, and attribution.
Pros:
Offers multi-platform AI monitoring (not limited to one engine).
Free, shareable report option to evaluate your brand’s AI visibility without a paid subscription.
Clear visibility into both citations and agent crawl behavior — helpful for diagnosing how AI “discovers” your content.
Useful for brands wanting to connect how AI agencies crawl vs how AI conversational engines cite.
Limitations:
While Hall does a strong job monitoring visibility and citations, it doesn’t appear to specialize in deep content optimization or rewriting recommendations (at least not from public documentation).
Some features or deeper integrations may require higher tiers. (Free or base plans may offer limited access.)
For highly competitive or niche verticals, Hall’s recommendations may need to be supplemented with domain-specific SEO or content tools.
Pricing: Otterly’s Lite plan starts at $29/month, making it one of the most affordable entry-level GEO tools, though larger plans scale quickly.
Lite: $29/month — ~10 tracked prompts
Standard: ~$189/month — ~100 prompts
Pro/higher tiers: Up to ~1,000 prompts or more, custom pricing beyond that
Founded: 2024
Headquarters: Vienna, Austria
Otterly AI is a self-serve GEO tool focused on providing marketing teams with clear visibility into how their brand appears (or doesn’t) in AI answers across models like ChatGPT, Google’s AI Overview, Perplexity, CoPilot, and more. It’s particularly well-suited for small to mid-sized businesses that want monitoring, insights, and citation tracking without the complexity that can come with some of the bigger enterprise platforms.
Key Features:
Multi-engine monitoring that tracks brand mentions, citations, and presence across ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot, and more.
Prompt & keyword tracking/AI Keyword Tool, which helps convert SEO keywords into conversational prompts, and monitors how those prompts perform in AI engines.
Link & Citation analysis shows which URLs or domains are cited in AI responses (helpful for understanding which content is doing the “heavy lifting”).
Brand Visibility Index/Reports, which is a KPI that aggregates your brand’s visibility over time, and dashboards that compare brand mentions, coverage, and domain citations.
GEO Audit/SWOT & gap analysis introduced their “audit tool” that gives you a health check on your AI search presence and surfaces tactical gaps.
Alerts & Trends give weekly or near-real-time updates when visibility shifts happen (brand drops or new citations).
Pros:
Very user-friendly, with quick setup and intuitive dashboards.
Affordable for smaller teams compared to full enterprise GEO platforms.
Prompt-level visibility helps you catch the conversational queries that actually drive AI mentions, not just high-level keywords.
Makes citation and brand mention data accessible, a good stepping stone for teams new to GEO.
Launched the GEO Audit tool (new offering) to help diagnose where you currently stand.
Limitations:
Limited deep optimization guidance — Otterly leans more toward monitoring and insights than prescriptive “rewrite this to win” steps.
As with many GEO tools, visibility may fluctuate due to how AI engines change how they cite, so consistent tracking is crucial (and Otterly offers alerts to help).
Prompt caps/scaling limits — for high volume of prompts or enterprise usage, costs or limits may creep up. (Otterly uses a prompt-based pricing model. )
Because it's more “visibility + insight,” rather than “full GEO stack,” you may eventually require complementary tools if you want strong optimization, deep attribution, or cross-engine strategy.
Pricing: This is a newer, but very cost-accessible tool for small businesses.
Starter: $29/month — 150 credits (covers a limited number of prompt scans)
Pro: $89/month — 500 credits, additional features like exports & trends
Agency: $149/month — 1,000 credits, support for multiple brands, dashboards, priority support
Founded: 2025
Headquarters: Miami, Florida
RankPrompt bills itself as a visibility/AEO (Answer Engine Optimization) tool that helps brands and marketers track, measure, and optimize how they appear in AI assistants—ChatGPT, Gemini, Grok, CoPilot, and Perplexity. It aims to let you see which prompts mention your brand, compare against competitors, and receive recommendations for structural or citation improvements.
It’s designed as an “AI SEO/LLM visibility” platform rather than a traditional SEO tool.
Key Features:
Prompt/Query Scanning & Visibility Tracking enables testing whether your brand shows up in real user prompts across major AI assistants.
Mentions & Citation Analysis shows how often your brand is cited, under what contexts, and in comparison to peers.
Optimization Recommendations like schema tweaks, citation improvements, structured data changes, and content edits to improve AI visibility.
Benchmarking & Trend Monitoring compares visibility over time and against competitors.
Credits/Report Model → Uses a credit model for prompt scans.
Pros:
Built specifically for AI/LLM visibility (not just a bolt-on module).
Credit model makes it more accessible for smaller users to get started.
Gives actionable recommendations (not just raw data) around schema, citations, and prompt alignment.
Multi-assistant tracking ensures you’re not limited to just one AI platform.
Limitations:
Because it’s newer and more specialized, it may not yet match the depth of enterprise GEO tools in areas like attribution, agent crawl monitoring, or very advanced analytics.
Credit/prompt limits may constrain heavy usage for larger brands.
The recommendations, while useful, may require domain expertise or additional tools to execute at scale (e.g., schema implementation, content rework).
AI platform volatility: as models change or re-rank, visibility can fluctuate, so consistent monitoring is necessary.
Enterprise: ~$780/month or custom — 1200 credits, 200 web audits, 100 brand dashboards.
Founded: 2024
Headquarters: Vienna, Austria
Rankscale.ai is a GEO/AI visibility platform focused on tracking and analyzing how brands appear in AI-generated answers. It helps marketers monitor brand mentions, citation sources, prompt performance, and competitive visibility across major AI search systems like ChatGPT, Perplexity, and Google AI Overviews.
Key Features:
Brand Dashboard & Visibility Score gives you a single view of how your brand ranks across prompts and AI systems over time.
Performance Tracking metrics like “Average Position,” “Detection Rate,” and visibility trends broken down by prompt, topic, or AI engine.
Competitor Benchmarking, which you can customize to compare visibility, sentiment, and citation rates.
Citation & Source Analysis tracks which domains or pages AI engines cite (and how often) in responses.
Sentiment & Narrative Insights analyzes how AI mentions depict your brand (tone, narrative context).
AI Readiness/Audit Features ranks and scores your site’s “AI readiness” and flags areas for improvement (e.g., structural or content gaps).
Action Center suggests content fixes, prompt adjustments, and structural changes to boost AI visibility.
Pros:
Strong output-side visibility data helps you see how LLMs are mentioning your brand, not just what crawlers read.
Credit/usage model allows flexibility for smaller teams or experimental workloads.
Responsive development — the tool is cited in industry analyses (e.g., 8,000 AI citations study) as a data source.
Limitations:
No crawler-side visibility — Rankscale tracks output mentions, not how AI bots crawl or read your site.
UI/learning curve — Some users say the interface and metrics are very technical, so ramp-up might take time.
Credit/usage scaling — as you track more prompts, citations, or audits, costs may increase quickly.
Export/report limitations — In some user reviews, PDF export is missing (only raw data and dashboards).
Starter level: ~€89/month (~USD equivalent) for ~25 prompts
Higher tiers: ~€199/month for ~100 prompts
Business/enterprise tiers: custom pricing with higher prompt/model limits
Founded: 2023
Headquarters: Berlin, Germany
Peec.ai is an accessible GEO analytics tool designed for small-to-medium businesses and agencies. It emphasizes clarity and usability, helping teams quickly see how their brand appears in AI-generated content without the complexity of enterprise dashboards.
Key Features:
Visibility & Mentions Tracking across multiple AI models. Tracks how often your brand appears in AI-generated answers.
Position & Share Metrics assesses where your brand shows up in those answers (e.g., first mention vs lower).
Sentiment Analysis determines whether AI mentions of your brand are positive, neutral, or negative.
Source & Citation Analysis identifies which external sources AI uses when citing your brand, offering insight into which content is most influential.
Competitor Benchmarking compares your AI visibility performance to rivals.
Alerts & Trends real-time notifications on visibility shifts for monitored prompts.
Exports & API/Reporting — export data (e.g., CSV) or integrate via API and dashboard tools.
Pros:
Strong multi-model coverage (not limited to just one or two AI search systems).
Combines visibility + sentiment + citation data, making it more holistic than pure tracking tools
Alerting and prompt-level insights help you act faster, not just observe.
Good for agencies or teams wanting AI visibility data without needing a full enterprise stack.
Limitations:
Doesn’t (from my research) include deep optimization recommendations (like “rewrite this section” or “add these entities”) — it's more analytics/visibility focused.
Costs scale with the number of prompts, models, and data exports — for high-volume usage, it may get expensive.
As a more specialized tool, its feature depth and integration breadth may lag compared to enterprise GEO platforms.
Need to verify refresh cadence and coverage per region/model before relying on reporting.
Best SEO-Native GEO Tools
For teams already invested in traditional SEO platforms, these tools offer a natural bridge into GEO. Instead of reinventing the wheel, Semrush and Ahrefs have layered AI visibility features on top of their established keyword, backlink, and site audit capabilities.
While they don’t provide the depth of GEO-native platforms (yet), they’re a strong choice if you want to extend your existing SEO stack into the world of AI search without adding a brand-new system.
Pricing: Standard SEO plans start at ~$139.95/month. AI visibility modules are enterprise-only (pricing available on request).
Founded: 2008 (AI SEO Toolkit launched in 2025)
Headquarters: Boston, USA
Semrush, long recognized as one of the most established SEO platforms, added AI visibility tracking for Google’s AI Overviews in early 2025. While still limited to Google’s ecosystem, this update makes it easy for Semrush users to see how their brand appears in AI-generated results without switching platforms.
Key Features:
AI Overview (AIO) Monitoring → Tracks how your site or brand appears in Google’s AI-generated answers.
AI Search Audits → Integrated into Site Audit, checks for elements like llms.txt and structured data that affect AI readability.
Prompt Tracking Reports → Visibility tracking for branded and unbranded prompts in AI Overviews.
Competitive & Sentiment Insights → Compare your brand’s positioning against competitors in AI-generated responses.
Full SEO Stack Integration → Since it’s part of Semrush, AI visibility insights tie directly into keyword research, content audits, and backlink data.
Pros:
Trusted SEO platform with a huge user base and data network.
Easy add-on for teams already using Semrush (no need for a new platform).
Strong Google-centric focus (SERPs + AI Overviews).
Limitations:
GEO/AI modules remain Google-centric and are focused on visibility insights, not deep optimization across multiple LLMs.
Some AI features remain limited or in early stages (still more “visibility insight” than deep optimization).
AI tracking is still more Google/SEO-oriented (i.e. AI overviews, prompt tracking) and might not fully mirror how LLMs like Gemini or Claude behave.
Ahrefs, one of the most widely used SEO platforms, recently introduced its Brand Radar and AI visibility features. These modules track how brands appear in AI-generated answers while leveraging Ahrefs’ massive keyword, backlink, and content datasets — making it a natural add-on for existing users.
Key Features:
Brand Radar & AI Visibility Add-On tracks how your brand appears across AI assistants and AI Overviews. It covers AI visibility, queries, web mentions, and benchmarking.
Comprehensive SEO Tools offer deep support for keyword research, backlink analysis, site and content auditing, rank tracking, content gap analysis, etc.
AI-Centric Content Guides & Training publishing guides on AI visibility, generative search optimization (GEO), and how to align content for LLMs.
Prompt Query & AI Share of Voice Metrics reports include AI share of voice, prompt cluster visibility, and “real” AI questions surfaced from their large index (vs synthetic prompts).
Pros:
Their SEO foundation is rock solid — high trust, mature infrastructure, huge data sets.
Because many companies already use Ahrefs, adding AI visibility via Brand Radar is incremental (not a full migration).
Brand Radar is no “toy” — it uses six AI indexes and over 100 million prompts, with no setup.
Ahrefs’ content & data team is actively pushing thought leadership in AI visibility, suggesting they’ll iterate quickly in this space.
Limitations:
While Ahrefs now tracks AI visibility, it doesn’t yet offer the full suite of optimization/content rewriting/entity suggestion tools that pure GEO platforms provide.
Their AI visibility tools are still relatively new and may lack depth in prompt-level diagnostics, citation audits across all LLMs, or real-time crawling/agent metrics.
Because it’s an add-on, not a full refactor, its GEO features are constrained by the legacy architecture of Ahrefs.
Still more of a visibility “add-on” than a full GEO suite — with limited optimization guidance, crawl analytics, or hallucination detection compared to GEO-native platforms.
Best Content & Hybrid GEO Tools
These platforms approach GEO through the lens of content creation and optimization rather than full visibility and attribution. They help marketers write, edit, and optimize copy for both traditional SEO and AI search, but their GEO features are more add-ons than core offerings.
Contently focuses on enterprise workflows and compliance with its AI Studio, Writesonic blends content generation with basic visibility insights, and Frase guides content structure and on-page optimization. They’re great if your main need is producing AI-ready content, but don’t offer comprehensive GEO monitoring and optimization.
Contently is a content marketing platform built for enterprise brands, best known for managing the full content lifecycle — strategy, creation, distribution, and performance analytics. In 2025, they introduced AI Studio, adding AI visibility and optimization capabilities like fact-checking, LLM alignment, and brand-safe compliance. While it brings GEO-friendly features, Contently remains primarily a content production hub with AI optimization layered in.
Key Features:
Content Workflow & Editorial Planning assists in building editorial calendars, role-based workflows, collaboration tools, and asset management.
Freelance Talent Network grants access to vetted writers, editors, and content creators via Contently’s marketplace.
AI Studio/LLM Optimization is a multi-agent system to research, write, fact-check, optimize, and adjust content for brand voice and LLM visibility.
SEO & Optimization Agents within AI Studio, content is optimized for SEO/keyword performance, structured data, and LLM discoverability.
Brand Compliance & Quality Control, like fact-checking, voice/style consistency, and content guardrails, are integrated into the content production pipeline.
Pros:
Strong reputation and trust among enterprise clients.
The AI Studio module brings in deeper LLM/generative optimization capabilities beyond vanilla content tools.
End-to-end content infrastructure: writing, editing, assignment, publishing, analytics — useful for teams wanting a unified hub.
Analytic integration and performance tracking to help surface what content works and inform future topics.
Limitations:
LLM visibility is not Contently’s core strength. Its focus is more on content production and performance, rather than tracking how AI models cite or surface content.
Optimization suggestions (for AI visibility) are still wrapped inside the AI Studio component, which is geared toward enterprise, not always broadly available.
Integration with multiple LLMs/AI engines for visibility & citation monitoring is not their advertised core strength.
For smaller teams or lean startups, Contently’s full suite (especially with AI Studio) may be overkill in cost or complexity.
Pricing: Writesonic offers multiple tiers, including free and paid plans.
Free plan exists, enabling users to try parts of the platform.
Paid plans start around $49/month for more capabilities
Founded: 2020 (as a content platform)
Headquarters: San Francisco, USA
Writesonic began as a content generation platform and has since expanded into SEO and GEO territory. The platform now offers basic AI visibility tracking alongside its content creation and optimization workflows, making it a useful all-in-one solution for teams new to AI search optimization. However, its GEO functionality is more supplemental than foundational.
Key Features:
Brand Presence Explorer monitors how often your brand appears or is cited across AI engines such as ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity, and more.
AI Traffic Analytics detects which pages are visited by AI crawlers, which content AI systems favor, and how that aligns with real-world traffic.
Citation/Source Gap Analysis highlights third-party sources that mention your competitors but not you, and identifies citation opportunities.
Built-in SEO Tools & Content Studio allows you to move between AI visibility insights and content creation/optimization.
Prompt/AI Search Volume Estimation estimates how often prompts are used across AI engines — letting you prioritize high-impact opportunities.
Pros:
All-in-one platform — combines basic AI visibility, SEO workflows, and content generation, reducing tool switching.’
Actionable recommendations, not just data — the GEO Action Center helps operationalize optimization steps.
Multi-engine coverage & scale — supports tracking across many AI platforms.
Limitations:
The feature set is broad, which can lead to a steep learning curve for users new to GEO/AI visibility.
For highly niche or vertical use cases, some recommendations may lack domain-specific nuance.
Because it tries to do many things, in some cases, depth might not match specialized tools (e.g., ultra-granular SEO platforms or pure GEO trackers).
The accuracy and stability of prompt-based AI results inherently vary — any GEO tool (including Writesonic) must deal with fluctuations and unpredictability in LLM outputs.
Frase is an AI-enabled content optimization and writing platform designed to help marketers plan, draft, and improve content. It bridges SEO and AI discoverability with features like optimization scoring, content briefs, and AI writing assistance. Unlike GEO-native platforms, Frase focuses on guiding content creation rather than tracking how brands appear in AI search results.
Key Features:
SEO + GEO Optimization Score & Guidance that offers suggestions on how to improve the content’s relevance for both search engines and AI, as you write or import content.
Content Brief & Outline Generator that draws from top-ranking content, extracts keywords, headings, and FAQ ideas, and helps you build a strategic outline.
AI Writer & Drafting Tools that help generate content segments, intros, FAQs, etc., adapted to your brand voice.
Existing Page Optimization/Imports by feeding Frase a published URL. It then analyzes it against competitors and suggests improvements (for both SEO and AI discoverability).
Content Alerts that identify pages underperforming, decaying content, or new opportunities to optimize.
Integrations with Google Search Console, WordPress, Google Docs, Chrome extension, etc.
Pros:
Great all-in-one platform for content creation + optimization + insight, meaning fewer tool handoffs.
Real-time feedback while writing makes it easier to stay aligned with both SEO and “AI-aware” structures.
Useful for refreshing existing content (not just new content) via import + rewrite suggestions.
Broad adoption, mature product — 30,000+ creators and teams use it.
Limitations:
It is not a pure GEO visibility tracker — it doesn't (publicly) provide AI engine citation tracking across models (e.g., “how often is your brand mentioned by ChatGPT responses vs competitors”).
Recommendations are limited to content structure, keyword coverage, and similarity to competitors — less robust in areas like crawl behavior, AI agent monitoring, or citation attribution.
For very AI-centric optimization (e.g., surfacing what prompts lead to brand mentions), you might still need a GEO tool.
Some features (e.g., “Rank-Ready Documents”) are capped by project limits/subscription levels.
Best Analytics-Focused GEO Tools
These platforms lean heavily into monitoring and diagnostics, giving enterprises detailed data on prompts, citations, sentiment, and crawler behavior. They’re strong at surfacing what’s happening, but most stop short of turning those insights into actionable optimization. For teams with large data needs, they can provide valuable visibility snapshots, but without the integrated optimization and attribution layer.
Pricing: Scrunch AI pricing is custom/enterprise-only.
Founded: 2024
Headquarters: Salt Lake City, USA
Scrunch AI was built to help brands understand, monitor, and influence how they appear within generative AI outputs across all the major AI search models. They combine live data, sentiment, and narrative control and their new “Agent Experience” layer to shift from passive tracking to proactive influence.
Key Features:
Monitoring & Insights/Prompt Analytics → Track when your brand is cited in AI answers. Offers prompt-level analytics with filters by region, persona, competitor, etc.
AI Traffic & Bot Monitoring → Insights into how AI crawlers and agents roam your site (which pages they hit, crawl errors, etc.).
Error & Hallucination Detection → Flag when AI misrepresents your brand.
Journey Mapping → Visualize how users move through prompts and responses before arriving at your brand.
Agent Experience Platform (AXP) (in development) → A “parallel, AI-friendly” version of your site, structured specifically for AI agents and crawlers, to influence how AI interprets your content.
Knowledge Hub → Offers suggested fixes and content gap insights to help improve how AI perceives your pages.
Pros:
Strong focus on brand misrepresentation and narrative monitoring.
Blends visibility + path analysis (journey mapping) so you can see how AI reaches sources.
Scalable, enterprise-ready architecture.
Limitations:
AXP, their flagship “active influence” feature, is still in limited rollout/testing — not broadly available for all users.
Some UI elements and workflow depth are still maturing, based on early reviews.
Because it’s enterprise-first, smaller teams might find pricing, onboarding, or minimum scale barriers. (Pricing is custom/“on request”)
The distinct “AI version” of your site (AXP) is an approach that may raise technical complexity or governance questions.
Pricing: Profound does not publish standard pricing publicly. You typically need to reach out to their sales team for custom enterprise quotes. However, one reviewer claimed a “basic plan” starts at $499/month.
Founded: 2024
Headquarters: New York City, USA
Profound is another enterprise-grade platform focused on Generative Engine Optimization (GEO/AI answer visibility). It helps large brands monitor how they appear in AI engines, understand the conversational landscape, and optimize for better AI citations and engagement.
Key Features:
AI Visibility & Citation Tracking monitors how often and in what context your brand is cited across major AI engines (ChatGPT, Perplexity, Google AI Overviews, etc.).
Answer Engine Insights & Conversation Explorer reveals how AI models talk about topics in your domain, surfacing user prompts, narratives, and brand mentions.
Prompt Volumes estimates “AI search volume” (i.e., how frequently topics are asked in AI engines), enabling you to target content more intelligently.
Agent Analytics & AI Crawler Monitoring tracks how AI bots crawl your site, which pages they access, and how your content is interpreted for AI indexing.
Content Optimization & Workflows offer templates, workflows, and automation to help scale GEO-friendly content production.
Attribution & Integrations integrates with analytics tools to tie AI visibility to traffic, conversions, and business metrics.
Pros:
Deep analytics into AI citations, prompt trends, and conversational context.
Prompt volume estimation is a differentiator.
Designed for enterprise use, with compliance and scalability.
Strong financial backing and growth trajectory.
Limitations:
Optimization features are light — execution still requires external SEO/content tools.
Premium/enterprise pricing is a barrier for smaller teams.
Complex onboarding; depth of analytics requires expertise to use effectively.
Workflows feel more like templates than end-to-end optimization.
Pricing: Athena’s pricing is in the premium/enterprise tier:
Lite Plan: ~$295+/month (with annual subscription)
Growth Plan: ~$595+/month (annual)
Enterprise/Custom Plan: $2,000+/month or more, depending on scale, prompt volume, and add-ons
Founded: 2025
Headquarters: San Francisco, CA
Athena HQ is a GEO/AI search visibility platform that helps brands track how AI models interpret and reference them and signals what tweaks can improve that visibility. Rather than being just an “SEO tool,” it positions itself as a GEO-native analytics + action engine.
One of Athena’s distinctive features is prompt volume estimation, estimating how often particular user prompts are used across different AI engines, enabling prioritization of content optimization efforts.
Key Features:
AI Visibility & Mention Monitoring tracks when and how your brand is cited across multiple AI engines, including ChatGPT, Gemini, Perplexity, Claude, and more.
Prompt/Query Volume Estimation. Athena uses its Query Volume Estimation Model (QVEM) to estimate how often certain prompts are asked across AI platforms, helping you prioritize the most impactful ones.
Action Center & Optimization Recommendations section provides suggestions and task-level guidance to improve your GEO standing (e.g., content tweaks, schema, entity inclusion, llms.txt advice).
GEO Score & Share of Voice Dashboards provide a unified score combining visibility, sentiment, prompt performance, and share of voice across models.
Competitor Insights & Benchmarking → See how peer brands perform in AI mentions, prompt rank, and narrative clustering.
Integrations → Athena is integrated with CMS/SEO tools (e.g., Framer, HubSpot, Shopify) to help embed AI visibility into existing workflows.
Pros:
Strong diagnostic dashboards for AI visibility and prompt usage.
Prompt volume estimation is unique in the market.
Broad engine support across multiple LLMs.
Enterprise-ready with integrations and permissions.
Limitations:
Surfaces issues well but offers minimal guidance on how to fix them.
Premium pricing; not accessible for smaller businesses.
Limited flexibility for niche industries.
Feels more diagnostic than transformative — execution must happen elsewhere.
OmniSEO®, by WebFX/SEO.com, is positioned as an AI-first visibility & GEO monitoring platform. It tracks how your brand appears across generative AI systems (ChatGPT, Perplexity, Google AI Overviews, Copilot, Meta AI, Claude, Grok, etc.), surfaces citation and sentiment data, benchmarks against competitors, and provides prioritized insight to improve AI visibility.
It’s not meant to be used as a passive tracker, but more as part of a “Search Everywhere” strategy to complement traditional SEO with AI/generative search layers.
Key Features:
AI Visibility Tracking & Rank Tracking monitors your brand’s presence/“rank” across AI engines (ChatGPT, AI Overviews, Perplexity, Copilot, etc.).
Citation/LLM Source Mapping allows you to see when and where generative models cite your content, identify opportunities for untapped visibility.
Sentiment & Brand Representation Analysis tracks how AI is describing your brand (positive/neutral/negative) by prompt, topic, or engine.
Competitor Benchmarking & Share of Voice to compare your visibility, citation share, and narrative positioning against peer brands.
Actionable Insights & Optimization Playbooks. Unlike pure dashboards, OmniSEO promises prioritized queries, optimization playbooks, and “turn data into what to do” suggestions.
Pros:
Broad AI engine coverage (ChatGPT, Perplexity, Claude, Gemini, etc.).
Combines visibility, sentiment, and citation mapping in one tool.
Actionable “playbooks” make it more user-friendly than pure dashboards.
Backed by an established SEO company.
Limitations:
As a relatively new platform in the AI visibility space, depth and maturity may lag specialized GEO platforms in some edge cases (e.g., ultra-niche verticals, highly technical content).
The optimization playbooks and recommendations may not yet match the sophistication of tools built solely for GEO (rather than “AI visibility + SEO”).
Some features (e.g., metrics for very high query volume, advanced integrations) are likely reserved for enterprise tiers.
Because AI/LLMs shift often, visibility volatility and measurement consistency remain a challenge for any tool (including OmniSEO).
Emerging GEO Tools to Watch
This group highlights early-stage players experimenting with fresh approaches to GEO. While not as mature or full-featured as enterprise platforms, these tools are carving out niches.
They’re worth keeping an eye on as the market evolves, but most are still in the “insight” phase rather than offering the robust optimization layer needed to compete with established leaders.
Enterprise/custom tier for high-volume and large teams
Founded: 2025
Headquarters: New York City, New York
XFunnel is a newer GEO platform built specifically for generative search environments. Its focus is on helping brands monitor citations, discover prompts, and run iterative experiments to improve AI visibility. Unlike many tools that stop at dashboards, XFunnel emphasizes “playbooks” and testing frameworks designed to make optimization more actionable.
Key Features:
Citation & Brand Mention Tracking show when and how your brand is cited in AI-generated answers.
Prompt/Query Analytics & Discovery surfaces relevant questions tied to your brand/industry, segmented by persona or region.
Competitive Benchmarking to compare brand visibility and citation frequency against competitors.
Optimization Playbooks & Experiments suggests tests to improve visibility and measure uplift.
Sentiment & Response Analysis evaluates tone and narrative context of AI mentions.
Pros:
It’s built directly for the generative search visibility space (not just an add-on). The inclusion of playbooks/actionable optimization is a differentiator (not merely providing raw metrics).
Multi-level prompt segmentation and analytic depth (region, persona) help refine strategy.
The ability to run experiments and measure visibility impact is attractive for iterative optimization.
Limitations:
Unclear how many AI engines/models they support beyond “major AI search engines.” Depth of content optimization (e.g., full content rewriting, entity insertion, schema guidance) is not explicitly shown in their marketing.
Because this space is still nascent, all AI visibility tools (including XFunnel) face volatility in how AI models choose citations/references — so consistency and mapping across model changes is a risk.
Custom Enterprise plan: Unlimited brands, prompts, competitors, refresh limits, plus an account manager dedicated to you.
Founded: Mid 2025
Headquarters: Not listed online.
Parse is an AI visibility engine that tracks how often and in what context brands are cited, ranked, or omitted across major generative AI models. Its core value lies in bridging the gap between anecdotal “we saw our name in ChatGPT” and measurable, structured visibility data.
Key Features:
Mention & Citation Tracking monitors when/where your brand is cited across ChatGPT, Claude, Gemini, and more.
Position/Rank Insights measures whether mentions appear at the top of AI answers or buried lower.
Competitive Benchmarking tracks peer visibility and citations for context.
Prompt Explorer & Query Mapping identifies prompts that surface your brand and those that don’t.
Alerts & Visibility Index flags changes in visibility and aggregates performance into a single metric.
Pros:
Built specifically for AI visibility, not retrofitted from SEO.
Clean, intuitive dashboards that make data easy to digest.
Prompt-level granularity offers useful insight into context.
Competitive benchmarking included by default.
Limitations:
More diagnostic than prescriptive — little evidence of optimization workflows or content guidance.
Still early-stage, with a limited knowledge base and few public case studies.
No attribution layer to connect AI mentions to site traffic or conversions.
Visibility results fluctuate with model updates, so metrics should be viewed as directional, not absolute.
AI Monitor positions itself as a Generative Engine Optimization (GEO) tool that helps brands track how they’re referenced across multiple AI platforms. Its dashboard consolidates citation and sentiment data into a single view, with an emphasis on near-real-time updates and alerts.
Key Features:
Consolidated Citation Dashboard aggregates brand mentions across ChatGPT, Gemini, Copilot, and Google AI Overviews.
Sentiment & Tone Tracking measures whether AI portrays your brand positively, negatively, or neutrally.
Near-Real-Time Monitoring provides quick feedback loops on changes in visibility.
Alerts & Reports sends notifications when visibility shifts, paired with trend reports.
Pros:
User-friendly interface with clean dashboards and quick setup.
Multi-model coverage (major LLMs and generative engines).
Fast feedback cycles with alerts and near-live updates.
Limitations:
Primarily a monitoring tool — lacks optimization workflows, attribution, or detailed fix recommendations.
Integrations with analytics/CRM tools are unclear from public sources.
Enterprise scalability not yet well documented.
Like all monitoring tools, metrics can fluctuate heavily as AI models update.
$249/month Starter plan: 1 seat, 10,000 prompts, weekly data for all LLMs, weekly progress updates
$499/month Growth Plan: 3 seats, 50,000 prompts, daily data for all LLMs, private Slack channel, rank and opportunity alerts.
Founded: 2025
Headquarters: New York City, New York
Anvil bills itself as “the SEO platform for the AI era,” designed to track and grow brand visibility across generative search engines like ChatGPT, Gemini, Claude, and others. Its feature set combines monitoring, competitor benchmarking, and basic optimization guidance, with an emphasis on query discovery and coverage gaps. Backed by Y Combinator, the platform is iterating quickly.
Key Features:
Brand Visibility & Share-of-Voice Metrics → Tracks how often your brand appears in AI responses and relative to competitors.
AI Rank Tracking monitors whether mentions appear at the top or deeper in AI answers.
Query Discovery & Gap Analysis surfaces prompts where your brand is missing, suggesting opportunities.
Optimization Insights provides recommendations on content structure and metadata to improve AI inclusion.
Competitor Benchmarking side-by-side analysis of peer brands’ AI visibility.
Cross-LLM Coverage supports multiple engines including ChatGPT, Gemini, and Claude.
Pros:
Built for generative search, not retrofitted from SEO.
Strong feature coverage: visibility, benchmarking, gap analysis.
Backed by YC, with likely fast product evolution.
Intuitive dashboards make visibility data easy to digest.
Limitations:
Recommendations are surface-level; lacks deeper workflows or automated optimization.
No evidence of advanced attribution or crawler analytics.
Some features (gap analysis, opportunity alerts) are helpful but not as actionable as enterprise GEO tools.
Prompt caps and pricing tiers may limit scalability for larger enterprises.
Choose Your GEO Fighter
The AI search arena grows more competitive by the day. Whether you’re a global enterprise, a scrappy startup, or an agency in between, the right GEO tool determines whether your brand is cited as an authority—or ignored completely.
If you’re serious about AI visibility, Goodie is the best overall choice. With its Optimization Hub, deep research, and attribution capabilities, it’s the only platform that delivers both broad monitoring and in-depth, actionable optimization. No other tool matches its coverage or precision.
That said, other options may fit specific needs:
Enterprises looking for scale can also explore Scrunch, Profound, or Athena HQ.
SMBs and agencies may find quick wins with lighter tools like Otterly, Peec, or Rankscale.
Content-led teams can benefit from hybrids like Frase or Contently, which tie creation to AI awareness.
Marketers experimenting can start free with HubSpot’s AI Search Grader or Hall.
The bottom line: Goodie sets the benchmark for GEO. Every day, AI engines are rewriting how people discover, evaluate, and trust brands. Choosing your GEO fighter now ensures your brand is unforgettable.
Generative Search Optimization Tools: FAQs
How do GEO tools differ from traditional SEO tools?
Traditional SEO tools focus on rankings in Google’s SERPs through keywords, backlinks, and technical site fixes. GEO tools, on the other hand, focus on visibility inside AI-generated answers (ChatGPT, Gemini, Perplexity, Claude, etc.). Instead of tracking “rankings,” they measure citations, mentions, sentiment, and share of voice in AI responses, and some even suggest fixes to increase your chances of being cited.
What features should I look for when choosing a GEO tool?
That depends on your needs:
Enterprises: Look for multi-model monitoring, attribution, crawler analytics, and optimization hubs (e.g., Goodie, Scrunch, Profound, Athena).
Content teams: Consider tools that blend content creation with AI optimization (e.g., Writesonic, Contently, Frase). At a minimum, a strong GEO tool should cover visibility tracking, competitor benchmarking, sentiment analysis, and clear optimization recommendations.
Do I need to be an SEO expert to use GEO tools?
Not at all. Most modern GEO platforms are designed for marketers, founders, and content teams, not just SEO pros. Tools like Otterly or HubSpot’s AI Search Grader are very plug-and-play, while enterprise platforms like Goodie or Scrunch may require more onboarding. Think of GEO as SEO’s next chapter — the concepts are familiar, but the interfaces and recommendations are increasingly user-friendly.
Are free GEO tools worth using?
Yes, free tools like HubSpot’s AI Search Grader or Hall’s free report are great for a quick pulse check on how AI engines perceive your brand. But for ongoing monitoring, alerts, and actionable fixes, you’ll want to upgrade to a paid tool.
Which GEO tool is “best”?
There isn’t a one-size-fits-all. If you’re an enterprise, Goodie is the most complete. If you’re an SMB or agency, Otterly or Peec are affordable and intuitive. If you’re content-first, Writesonic or Contently give you workflows plus AI awareness. Start by clarifying your budget, goals, and team size — then choose the fighter that fits.
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