10 Best Generative Engine Optimization (GEO) Tools in 2026

Tracking brand performance within AI search is nearly impossible to do manually.

You can check a few questions and see what comes back, but you won’t get a complete and reliable picture of the prompts that mention you, the pages being cited, or your competition.

So if you need to understand AI search performance, a Generative Engine Optimization (GEO) tool is a must-have.

One thing I will say, though, is that each tool is different, and no single tool is perfect due to the way they collect and estimate data.

Some are mainly prompt trackers, while others let you investigate citation sources, research questions people ask AI, or connect AI visibility with your existing SEO reporting.

So I’ve broken down 10 established GEO tools for marketers. Tools that I have tested myself. I’ll cover the key features, their pros and cons, and who they are best suited to.

Best GEO tools: quick picks

• Best for AI visibility research: Semrush AI Visibility Toolkit.
• Best for research using a large AI-answer index: Ahrefs Brand Radar.
• Best for deeper prompt and citation intelligence: Profound.
• Best dedicated AI visibility dashboard for a lean team: Peec AI.
• Best enterprise content and AI search reporting: Conductor.
• Best for monitoring AI answers and AI-agent website access: Scrunch AI.
• Best accessible entry point: Otterly AI.

What is generative engine optimization (GEO)?

Generative Engine Optimization is the practice of structuring your content, data, and brand signals to increase the likelihood that AI will use you as a source in its answers.

This can include optimizing content for readability, such as breaking it into smaller, digestible sections (chunking), using question-based headings to target prompt queries, and including original data findings to become a source.

GEO is a relatively new term, and as AI platforms advance further, there will certainly be new tactics and methods for optimization.

GEO vs. SEO vs. AEO: what’s the difference?

SEO is optimizing for discoverability in search engines. AEO is optimizing for direct answers, including featured snippets and AI answers. GEO is optimizing for AI search.

None of this makes traditional SEO irrelevant. However, GEO should absolutely be a focus for brands. For the bigger explanation, see my guide to GEO vs. SEO vs. AEO.

How I chose these GEO tools

I have used each of these GEO tools, whether that’s for testing or for personal use. As a marketer working in this space, I look at the tools from a different perspective than other listicles.

Taken into account for these tools were pricing, features, limitations, and who they are suited for. I also ignored many options with a lack of reputation due to vibecoded tools that are not polished and provide poor results.

Best GEO tools

These are the top GEO tools I picked. They made the list for many reasons, including their capabilities, coverage, and, most importantly, reputation.

1. Semrush AI Visibility Toolkit

Best for: Marketers who want to track AI search visibility, research prompts, analyze competitors, and identify citation opportunities.
Pricing: $99/month per domain.

Semrush’s AI Visibility Toolkit is a dedicated GEO platform that helps marketers understand how their brand appears in AI answers from ChatGPT, Gemini, Google AI, and Perplexity.

You can see which prompts mention your brand, which competitors appear in the same answers, and which websites AI cites as sources.

Visibility Overview is one of its primary features, which shows topics where your competitors appear but your brand doesn’t. It also has Source Opportunities, showing websites that AI frequently references when discussing competitors.

Semrush also has Prompt Research, which helps you discover AI search questions, see estimated topic demand, and identify competitors. You can then select important prompts to monitor daily and see how your brand’s presence changes.

Brand Performance is also worth looking at. This analyzes how AI describes your business, including brand sentiment, share of voice, and the topics or attributes associated with your company.

Key features:

• AI Visibility Overview: Tracks brand mentions, website citations, cited pages, and visibility trends, with separate reports for topics where competitors appear but your brand is missing.
• Prompt Research: Identifies relevant AI search questions, estimated topic demand, competing brands, and potential opportunities for improving AI visibility.
• Prompt Tracking: Monitors up to 25 selected prompts daily, including visibility changes, competitor appearances, and cited URLs.
• Brand Performance: Analyzes AI share of voice, brand sentiment, and the topics and narratives associated with your business.
• Competitor Research: Compares brand mentions, citation performance, and topic coverage against competing businesses.
• AI Search Site Audit: Checks website accessibility for AI crawlers and highlights technical issues that may prevent bots from accessing important content.

Pros:

• Detailed prompt research and citation analysis, including source and topic opportunities.
• Combines competitor monitoring, brand sentiment, and AI visibility reporting.
• Lets you investigate the individual AI responses behind visibility metrics.
• Built by an established marketing software provider with a substantial AI prompt database.

Cons:

• The Base plan includes only 25 custom tracked prompts, which may be restrictive for businesses monitoring several product categories.
• Brand Performance analysis is limited to one domain on the standard plan.
• Different reports use different datasets and update schedules, so their visibility metrics shouldn’t be treated as interchangeable.
• Advanced reporting integrations and additional users can involve extra charges.

Semrush is worth considering if you want more than basic AI mention tracking. Its Prompt Research and Source Opportunities reports are particularly useful because they help identify which questions to investigate and which publications AI engines reference.

The limitation is that these reports identify potential opportunities. They can’t establish why an AI engine chose a particular source or guarantee that changing your content will result in more citations.

Integrations: CSV exports are included, with up to 10 exports daily on the Base plan. Additional reporting features, including Google Analytics, Google Search Console, automated PDF reports, and external integrations, are available through paid My Reports add-ons. Custom enterprise API integrations are separate from the standard toolkit.

Quick tip: Start with Visibility Overview and open the Topic Opportunities report. Find a topic where competitors are being mentioned but your brand isn’t, then check Cited Sources and Source Opportunities to see which websites appear in those answers. Compare those sources with your existing content and coverage before deciding whether to update a page or investigate a third-party publication.

Which platforms does Semrush AI Visibility Toolkit cover?

2. Conductor

Best for: Enterprise SEO and digital teams that want full AI + SEO reporting at scale.
Pricing: Usage-based pricing built on AI Search Credits (Growth includes 2,500 a year, Enterprise more), quoted on request. A three-week free trial is available.

Conductor’s AI Search Performance module tracks how your brand and website appear in AI-generated answers, including brand mentions, citations, competitor visibility, and sentiment.

Page-level citation reporting is one of its standout features. It gives a breakdown of which of your URLs are being cited in answers, the prompts that triggered those citations, and where competing websites are being mentioned but you are missing.

Conductor also groups AI search performance by topic, audience, and intent. This is good for larger websites with a complex content structure, as it helps identify which areas need focus without manually reviewing every tracked prompt.

Key features:

• AI Mention and Citation Tracking: Separately tracks when AI systems mention your brand and when they cite a page from your website.
• Page-level Citation Analysis: Identifies which URLs get citations and the prompts and topics associated with those pages.
• Topic and Competitor Analysis: Compares AI visibility, mentions, and citations by subject, audience intent, and competitors.
• SEO and Content Integration: Connects AI Search Performance reporting with Conductor’s SEO analysis, content planning, and website monitoring.

Pros:

• Enterprise-grade reporting and collaboration.
• Strong connection between AI data and content strategy.
• Useful for brands with many markets and stakeholders.

Cons:

• Not a fit for small teams or single-site projects.
• Requires time and process to implement properly.

Conductor works best where SEO already has an established place in planning and reporting. Product, content, and SEO teams can use the AI Search Performance views to prioritize topics where AI coverage lags behind rankings. The platform also helps explain AI changes to leadership with clear charts rather than opinions. For global brands, the ability to compare markets and regions in one system is a practical advantage.

Integrations: Connects into analytics platforms, enterprise BI, and collaboration tools, plus native hooks into content workflows.

Quick tip: Use Conductor’s Topics report to find subjects where competitors get more AI mentions or citations. Then open the Pages report to see which URLs are being cited for those topics. Compare those pages with your existing content to discover missing information, outdated coverage, or opportunities to improve a relevant article.

Which platforms does Conductor cover?

3. Goodie

Best for: Startups and global brands that want an end-to-end GEO stack.
Pricing: Explorer starts at $399/month, with 100 tracked prompts, 3,000 AI responses per month, and 10 Optimization Actions. Pro and Enterprise use custom pricing. A seven-day free trial is available.

Goodie is a dedicated GEO and AI search optimization platform that offers visibility monitoring, prompt research, citation analysis, and content recommendations.

Visibility Monitoring reports show how often AI mentions your brand, which competitors appear in the same answers, and the websites being referenced as sources.

Goodie also has Optimization Actions, which uses the monitored data to suggest changes to your website content, technical SEO, and external coverage. For example, it can identify if your brand is missing from a competitor comparison article and suggest pages or publications to investigate.

The platform also leans into ecommerce with its Agentic Commerce tools, which monitor product discovery and recommendations in AI shopping experiences. Those capabilities are available on higher-tier plans, rather than the entry-level Explorer package.

Key features:

• AI Visibility Monitoring: Tracks brand visibility across LLMs like ChatGPT, Gemini, Perplexity, Claude, and more.
• Performance Dashboard: Global monitoring, visibility analysis, and sentiment analysis.
• Optimization Actions: Identifies content, technical, and third-party citation opportunities using competitor and visibility gaps. Recommendations include estimated impact, which should be treated as a forecast rather than a guaranteed result.
• GEO / AEO Content Writer: Creates answer-ready, citation-friendly content.
• Analytics and Attribution: Connects AI visibility monitoring with Google Analytics data to investigate AI-referred traffic and downstream website performance.
• Agent Experience and Commerce Analytics: Provides AI crawler and agent monitoring, alongside product-level AI shopping visibility in higher-tier plans.

Pros:

• Full suite that covers monitoring, optimization, content, and commerce in one platform.
• User-friendly dashboards with up-to-date analytics and competitive benchmarking.
• Coverage of major AI platforms, including DeepSeek and multiple shopping contexts.
• Optimization Actions connects competitor and citation gaps with suggested changes to owned content and opportunities for third-party coverage.

Cons:

• Targets larger brands, with pricing and packaging skewed toward enterprise use cases.
• Integration options are improving but still lighter than long-standing SEO suites, and export/reporting features are more limited today.

Goodie works best when you want GEO to run as an independent tool and record for AI visibility, sentiment, and product placement. In-house SEO, content, and growth teams can use its dashboards to spot prompts where AI ignores or misrepresents the brand, then push fixes through Optimization Actions and the content writer. For ecommerce and multi-market brands, the combination of sentiment, geography, and SKU-level analytics makes it easier to see how AI answers influence both perception and revenue.

Integrations: Explorer includes Google Analytics attribution and MCP server access. Pro adds more extensive revenue attribution, while Enterprise provides API and export capabilities for custom reporting and integrations.

Quick tip: Open Goodie’s Optimization Actions and review recommendations that align with your most important product or service. Check the prompts, competitor mentions, and cited sources behind each suggestion before making changes. Prioritize recommendations that identify a specific information gap or relevant third-party source.

Which platforms does Goodie cover?

4. Scrunch AI

Best for: Large brands and agencies that need AI visibility monitoring and agent analytics.
Pricing: Core starts at $250/month. Enterprise has custom pricing. A seven-day free trial is available.

Scrunch AI monitors how your brand appears in AI answers and helps investigate the technical issues that could be impacting how AI agents access your website.

The monitoring reports track brand mentions, competitor visibility, sentiment, and citations. You can review individual prompts to see the responses AI generated, evaluate inaccurate information about your brand, and review the websites being cited.

Scrunch also provides website audits and AI bot analytics. These help you understand which pages bots request, whether they have problems accessing them, and whether website information is available to crawlers.

The Agent Experience Platform (AXP) is an additional Enterprise feature that delivers a separate, simplified version of website content to AI agents. This is a more technical approach to AI search optimization and would need testing.

Key features:

• Brand Monitoring: Brand and competitor mentions, sentiment, and share of voice across major AI platforms.
• Hallucination and Misinformation Detection: Brand safety checks, especially in regulated categories.
• Journey Mapping: Visualizes how users encounter your brand through AI paths.
• Agent Experience Platform (AXP): An Enterprise feature for delivering an AI-agent-focused version of website content, intended to make information easier for agents to access and process.
• AI Bot Traffic Analytics: Tracks which agents crawl which content and how that changes over time.
• Prompt Analytics: Dashboards for trends, topics, and performance across regions and personas.

Pros:

• Strong monitoring and insights layer focused on brand safety, misinformation, and hallucinations.
• Agent analytics and AI traffic views that expose otherwise invisible crawler behavior.
• AXP gives you control over what AI agents see without changing the human-facing site.
• Enterprise-focused security and scale, including SOC 2 and support for hundreds of brands.

Cons:

• Pricing starts high enough to exclude many small teams and early-stage projects.
• Primarily a monitoring and analytics platform; execution and content changes still rely on other tools.
• AXP adds technical complexity and is still early, with limited independent evidence of impact.

Scrunch AI works best for enterprises and agencies that treat AI visibility and brand safety as risk and reputation issues, not just SEO metrics. Comms, brand, and SEO teams can use its monitoring and hallucination detection to find harmful or outdated claims, then decide which pages, knowledge bases, and third-party listings to correct first. For organizations in regulated industries, the combination of visibility tracking, misinformation alerts, and agent analytics helps to reassure that AI exposure is being watched and managed.

Integrations: Scrunch supports AI bot traffic monitoring and connections to website analytics. Its Enterprise plan adds API access, advanced integrations, and AXP content delivery. Google Analytics can be connected to investigate AI referral traffic.

Quick tip: Use Scrunch’s prompt monitoring to find inaccurate product information or missing brand mentions. Look at the cited sources first, then check its page audits and agent traffic reports for website issues. Keep content inaccuracies and crawler problems separate so you know what each change is intended to address.

Which platforms does Scrunch AI cover?

5. Profound

Best for: Enterprise brands, regulated industries, retailers, and agencies.
Pricing: Free seven-day trial (50 prompts a day on ChatGPT, Gemini, and Google AI Overviews). Enterprise uses custom pricing and tracks up to 9 answer engines. Agencies can use the self-serve Agency Growth plan.

Profound is an AI search intelligence platform that includes brand visibility monitoring, prompt research, citation analysis, and AI agent analytics.

The Answer Engine Insights feature tracks how your brand appears in AI answers, including mentions, sentiment, competitor visibility, and the websites being cited.

Prompt Volumes is one of its most powerful features. It provides data on the questions people ask AI platforms, including related topics and intent. This helps marketers research demand for different subjects rather than selecting prompts entirely from traditional SEO keyword lists.

Profound also has Agent Analytics for monitoring AI crawler activity and referral traffic, in addition to Shopping Analysis for retailers and automated content features. It’s one of the best GEO tools for larger teams that need detailed AI search reporting and have the resources to act on the findings.

Key features:

• Answer Engine Insights: Visibility score, share of voice, sentiment, and citation analysis across 10+ AI engines.
• Prompt Volumes and Query Fanouts: Provides AI prompt demand research, topic relationships, intent analysis, and information about related searches associated with AI-generated answers. Demand figures should be interpreted within the coverage and methodology of Profound’s dataset.
• Agent Analytics: Monitors AI crawler requests, referral traffic, and website access patterns. This can help identify technical issues and AI-related visits, but crawler activity alone cannot establish why an AI engine selected a particular citation.
• Shopping Analysis: Shows how products appear in ChatGPT Shopping, including placement, attributes, competing SKUs, and retailers.
• Profound Agents: Supports automated content research, writing, and optimization tasks using brand information and repeatable marketing workflows. Generated content and recommendations still require editorial review.

Pros:

• Combines AI response monitoring, cited-source analysis, prompt research, and crawler analytics, allowing teams to investigate several aspects of AI search performance within one platform.
• Broad AI coverage and enterprise-grade security (SOC 2 Type II, HIPAA, SSO, role-based access) suited to regulated sectors.
• Strong citation, sentiment, and conversation analysis with useful views like Conversation Explorer and detailed sentiment themes.

Cons:

• Designed primarily for large enterprises, pricing and scope are often excessive for startups and most SMBs.
• Steep learning curve and data-heavy UX; reviewers note noise and feature gating on lower tiers.
• Not an all-in-one execution suite; you still rely on separate tools and teams to implement content and technical changes.

Profound works best when you have a central SEO or growth team plus data support and need audit-ready AI visibility across brands, regions, and product lines. Marketing, product, and analytics teams can use Answer Engine Insights and Prompt Volumes to find high-value prompts where competitors dominate, then feed those topics into existing content and distribution workflows. Retailers benefit from Shopping Analysis and agent data to understand how AI treats their SKUs and which attributes, reviews, and retailers correlate with more citations.

Integrations: Connectors for GA4, BI tools, CDP/CRM and data warehouses, plus edge and CDN integrations (Vercel, Cloudflare, Fastly, AWS CloudFront, Netlify) for traffic and crawler data collection.

Quick tip: Use Profound’s Prompt Volumes to look at relevant questions in your category, then examine Brand Relevant Prompts and citation data to find where competitors’ pages are being referenced. Check whether you already have content for those subjects before deciding what to update or create.

Which platforms does Profound cover?

6. AthenaHQ

Best for: Agencies and mid-market to enterprise teams.
Pricing: Self-serve plan from $295/month with credit-based usage and annual discounts, plus custom Enterprise plans with higher credits and advanced features.

AthenaHQ is a GEO platform for monitoring brand visibility, competitors, and citations in AI search, with additional tools for researching prompts and recommending improvements.

The monitoring reports show which AI engines mention your brand, how you compare with competitors, and which prompts or topics are associated with that visibility.

Athena’s Action Center takes those findings further by identifying content and source gaps and suggesting changes. This can include improving information on your website, investigating competitors, or creating content for relevant AI questions.

AthenaHQ also provides prompt demand estimates and content optimization tools. The recommendations can help organize a GEO strategy, but they should be reviewed against the AI answers and existing pages before being implemented.

Key features:

• Multi-engine AI Search Monitoring: Brand performance, perception, citations, and competitor presence across major LLMs and AI Overviews.
• Prompt Volume Estimation: Provides estimated demand for AI search questions, helping marketers compare topics and identify relevant prompts to monitor. These are estimates, not complete counts of every private AI conversation.
• Action Center: Identifies on-page and off-page GEO opportunities and suggests content improvements based on monitored prompts, competitor visibility, and citation gaps.
• Technical and Commerce Tools: Dynamic AI crawling, AI blindspot detection, LLM traffic analysis, authority and citation intelligence, and an ecommerce capability that ties GEO content and AI search to Shopify stores.

Pros:

• Consolidated view of AI search visibility with live, shareable dashboards across teams and roles (SEO, PR, brand, content, CMO).
• Actionable GEO workflow via the Action Center, including specific recommendations and content drafts instead of raw charts only.
• Supports a range of AI engines, with enterprise options for additional markets, access controls, and reporting. Starter users can also add API access for an additional charge.

Cons:

• Premium pricing and credit-based billing make it hard to justify for small teams and can create spend uncertainty as prompt volume grows.
• Stronger on monitoring, share-of-voice, and recommendations than on deep revenue attribution, where some rivals emphasize GA4-first measurement.

AthenaHQ works best when you already treat AI search as a distinct channel and have SEO, content, and brand owners ready to act on the data. Teams use its monitoring and prompt volume views to find prompts where competitors dominate, then pull the Action Center’s GEO recommendations into existing content, PR, and outreach workflows. For agencies and larger in-house teams, the multi-brand dashboards, case-study-backed performance lifts, and role-based access control help standardize how you measure and report AI visibility across clients or business units.

Integrations: Starter includes CSV data exports, with API access available as a paid add-on. Enterprise includes API access and additional reporting and integration options for larger organizations.

Quick tip: Compare your visibility and citation data for an important product or service topic, then review the recommendations in Action Center. Start with suggestions supported by identifiable content gaps or cited sources, rather than automatically prioritizing whichever prompt has the highest estimated volume.

Which platforms does AthenaHQ cover?

7. Peec AI

Best for: Lean marketing and SEO teams that want focused AI search analytics.
Pricing: Starter $95/month (50 prompts), Pro $245/month (150 prompts), Advanced $495/month (350 prompts). Enterprise uses custom pricing with annual billing. Annual billing saves 15%.

Peec AI is a dedicated AI search analytics platform that tracks brand visibility, competitor mentions, sentiment, and cited sources for selected prompts.

You can organize prompts by topic and monitor how your brand appears in answers from different AI platforms. It then shows which competitors are mentioned, how often your brand appears, and the sources being referenced.

Its Sources reports are a great feature for GEO. Peec separates domains from individual URLs and shows how frequently sources are retrieved and cited. You can use this information to see which articles, publishers, and websites appear in AI answers.

Peec also has Gap Analysis and Actions for identifying potential improvements to your own content and opportunities involving third-party sources.

Key features:

• AI Platform Monitoring: Daily tracking of selected prompts using three models of your choice on Starter, Pro, and Advanced. Options include ChatGPT, Google AI Overviews, AI Mode, Gemini, and Microsoft Copilot, with Perplexity as a paid add-on and Claude on Enterprise.
• Prompt-based Tracking: Visibility, average position, sentiment, and trend lines for your brand and competitors.
• Sources and Citation Analysis: Separate Domains and URLs reports show which sources appear in tracked AI answers, how frequently they’re retrieved, and how often retrieved sources receive visible citations. Gap Analysis helps identify sources associated with competing brands.
• Competitor Benchmarking: Topic-level workspaces so teams can prioritize where to improve coverage.
• Reporting: Simple, Looker Studio-friendly exports and reporting so AI visibility can feed existing dashboards.

Pros:

• Clean, focused UX: set up your prompts, see your AI visibility, act on top citations, without extra SEO bloat.
• Detailed source reporting helps marketers investigate why competitor websites and third-party publications repeatedly appear in AI answers.
• Unlimited users on paid brand plans make it easier for marketing teams to share reporting.
• Provides export and integration options for reporting, with API availability depending on the plan.

Cons:

• Pricing is high on a cost-per-prompt basis compared with some newer trackers, especially once you add extra engines beyond the core three.
• Primarily a monitoring and analytics tool; it does not include native content creation or technical SEO modules, so execution happens elsewhere.

Peec AI works best when you already have SEO and content workflows in place and just need a clear view of how AI engines talk about you. Marketing and SEO teams can use its dashboards to find prompts where visibility is low or sentiment is weak, look at the cited sources, and then decide whether to improve their own pages or pursue coverage on third-party domains. Agencies also benefit from the simple packaging and unlimited seats, using Peec as shared ‘AI visibility’ across multiple clients without retraining everyone on a full SEO suite.

Integrations: Peec supports data exports and reporting integrations. Looker Studio is included with Advanced, while API access is available on Pro, Advanced, and Enterprise. Starter doesn’t include API access. Enterprise also provides single sign-on and additional customization.

Quick tip: Open Peec’s Domains and URLs reports for a topic where competitors are often mentioned. Check which sources appear most often and whether those pages cite or mention your brand. Use Gap Analysis to investigate relevant publications and compare their coverage with your existing website content.

Which platforms does Peec AI cover?

8. Otterly AI

Best for: SMB and mid-market teams that want affordable daily AI monitoring and audits.
Pricing: Lite from $29/month for 15 prompts, Standard $189/month for 100 prompts, Premium $489/month for 400 prompts. 14-day free trial.

Otterly AI is an AI search monitoring and optimization platform built to track how your brand, content, and competitors appear in AI answers.

It runs your prompt set daily across Google AI Overviews, ChatGPT, Perplexity, and Microsoft Copilot (with Gemini and AI Mode as add-ons), then aggregates visibility, sentiment, and link citations into a single dashboard.

You can see which prompts surface your brand, which URLs get cited, and where competitors win, then use its GEO Audit to turn that data into concrete optimization actions.

Key features:

• Daily AI Search Monitoring: Google AI Overviews, ChatGPT, Perplexity, and Copilot, with optional Gemini and Google AI Mode.
• Prompt-based Tracking: Brand, content, and competitor visibility.
• Brand Visibility Index: Domain ranking and link citation analysis for each prompt set.
• GEO Audit: Includes a Crawlability Checker for investigating whether AI bots can access a page, a Content Checker for reviewing content structure and readability, and Query Fan-Out analysis for discovering related questions that AI systems might generate from a prompt.
• AI Keyword Research: Helps turn classic keyword lists into AI prompts.
• Multi-country Support: 50+ markets, unlimited brand reports, and unlimited team members on paid plans.

Pros:

• Affordable entry-level monitoring, with a free trial and daily prompt tracking starting at $29/month.
• Strong daily tracking cadence that keeps prompt and citation data fresh.
• Simple, focused UX that makes AI visibility understandable for non-technical marketers.
• Built-in GEO Audit and AI keyword research reduce the effort to move from what’s happening to what to change.

Cons:

• Prompt allowances on Lite are tight, and costs rise quickly as you add prompts or engines, which can be limiting for larger programs.
• Primarily a monitoring and analytics platform, you still need separate tools and workflows to execute content and technical changes.
• Less depth in advanced segmentation and revenue attribution than heavier enterprise GEO stacks.

Otterly AI works best when you want to start measuring AI visibility quickly without changing your SEO stack. SEO and content teams can define a small set of high-value prompts, let Otterly run daily checks, then use its citation and GEO Audit views to decide which pages to update and which third-party placements to pursue. For agencies and in-house teams on a budget, it is an approachable way to introduce GEO reporting and prove value before graduating to higher prompt volumes or additional tools.

Integrations: Otterly supports CSV exports for prompt and citation data. Standard, Premium, and Enterprise include API access, MCP access, and Looker Studio reporting integrations, making it possible to use AI visibility data in external dashboards and reporting tools.

Quick tip: If you’re starting on Lite, use its 15 prompts to track your most important product or service categories and competitor comparisons. Review the citations report to see which of your URLs appear in AI answers, then use GEO Audit on pages to see crawlability or content issues. Don’t assume a missing citation means the page needs rewriting.

Which platforms does Otterly AI cover?

9. Ahrefs Brand Radar

Best for: SEO teams that already use Ahrefs and want AI visibility plus other SEO data.
Pricing: Limited custom AI prompt tracking is included with Ahrefs Lite and higher subscriptions. Additional custom prompt tracking starts at $50/month. The Brand Radar AI Visibility Index costs $199/month per AI platform or $699/month for all platforms.

Ahrefs Brand Radar is an AI visibility research and monitoring tool that shows how often brands appear in AI answers, which competitors appear alongside them, and which websites AI cites.

It has two main approaches to GEO tracking. The AI Visibility Index lets you research brands and competitors using a large database of AI responses without setting up your own prompts. Custom Prompt Tracking lets you monitor specific questions relevant to your business on a schedule.

Brand Radar also shows cited pages and domains, topic-level visibility, share of voice, and estimated impressions based on search demand. You can use these reports to look at which competitors and third-party publishers appear for relevant topics, then compare the findings with your SEO research.

Ahrefs also connects AI visibility research with Search Demand, Web Visibility, and its other discovery reports, helping marketers look at related content and sources without taking those channels as proven causes of AI citations.

Key features:

• AI Visibility Index: A database containing hundreds of millions of search-informed AI prompts, allowing marketers to research brand visibility, competitors, and cited sources without creating a custom tracking project.
• AI Visibility Metrics: Reports on brand mentions, website citations, AI share of voice, topic-level visibility, and estimated impressions. Estimated impressions are based on search-demand data rather than observed views of individual AI answers.
• Cited Domains and Pages: Reports showing which URLs AI answers pull from most often.
• Discovery Channels: Search Demand, Web Visibility, Video Visibility, and Reddit Visibility views to connect AI mentions with broader discovery channels.
• Overview Dashboard: An ‘AI visibility command center’ for brand-level tracking over time.

Pros:

• Native to Ahrefs, so AI visibility sits next to backlinks, keywords, and content data you already use.
• Huge prompt coverage and no setup make it easy to benchmark brands and competitors quickly.
• Strong competitive benchmarking and topic clustering for finding AI content gaps.
• Solid documentation, courses, and blog workflows for turning Brand Radar data into GEO actions.

Cons:

• Effective pricing for full AI coverage is high relative to newer, GEO-only tools, especially once you add platform bundles.
• The AI Visibility Index and custom prompt tracking have separate pricing. Costs increase if you need multiple AI platform indexes or extensive daily monitoring.
• Focused on monitoring and opportunity discovery; content creation and execution still happen in other tools.

Ahrefs Brand Radar works best when Ahrefs is already your primary SEO platform and you want to extend that view into AI search. SEO and content teams can use Brand Radar’s AI Visibility and topic clustering to find areas where competitors dominate AI answers, then pivot into Site Explorer, Content Explorer, and link tools to plan fixes. For brands with strong PR and digital PR programs, the Web, Video, and Reddit visibility reports also help target placements that are more likely to influence AI citations over time.

Integrations: Brand Radar supports reporting exports and dedicated Ahrefs API endpoints for AI responses, brand mentions, citations, cited domains, cited pages, and visibility trends. API usage and data access depend on your subscription and applicable API allowances.

Quick tip: Add your brand and two key competitors to Brand Radar, then filter the AI Visibility and Cited Domains reports to one high-value topic cluster. Use that short list of prompts and cited pages to decide which of your pages to rework and which third-party domains to prioritize for new coverage.

Which platforms does Ahrefs Brand Radar cover?

10. SE Visible (SE Ranking)

Best for: Marketing and SEO teams that want to monitor AI search visibility, analyze competitor mentions, and understand the sources AI engines cite.
Pricing: Basic starts at $89/month (75 prompts). Core at $189/month (200 prompts). Agency at $399/month (1,000 prompts). Enterprise uses custom pricing from 2,000 prompts. A 10-day free trial is available.

SE Visible is an AI visibility monitoring tool from SE Ranking. It tracks brand mentions, competitor visibility, sentiment, and citations in answers from ChatGPT, Gemini, Google AI Mode, AI Overviews, and Microsoft Copilot, with Claude added on the Agency plan.

One of its main features is the Sources report, which shows the domains and individual URLs that AI cites for your tracked prompts. You can see which review sites, forums, and competitor pages are being referenced when people ask questions about your products or services.

For example, if you’re tracking prompts around the best email marketing software and AI repeatedly cites the same articles, you can see which products they recommend, how they’re described, and whether your brand is included.

This can help you find relevant publications to approach, outdated information to fix, or topics your content hasn’t covered. You won’t know exactly why AI selected a source, but you’ll have specific pages to dig into rather than guessing.

SE Visible also lets you inspect the full AI answers behind its reports. So if your visibility increases or decreases, you can check which prompts changed and whether your brand was recommended, mentioned in passing, or cited through a link to your website.

Key features:

• AI Visibility Monitoring: Tracks brand mentions, share of voice, position, and sentiment for selected prompts on supported AI platforms.
• Prompt and Topic Tracking: Organizes AI search questions into relevant topics, allowing marketers to compare visibility by product category, audience, or search intent.
• Source and Citation Analysis: Shows the domains and individual URLs cited in AI answers, including citation frequency and source categories.
• Competitor Analysis: Compares which brands appear in monitored AI responses and identifies citation gaps involving competing websites.
• Full AI Response History: Lets you inspect stored AI answers to understand the evidence behind visibility metrics.
• Reporting and Integrations: Includes CSV exports, Looker Studio connectivity, API access, and MCP access for external reporting.

Pros:

• Developed by SE Ranking, an established SEO software provider.
• Detailed source and citation reporting alongside standard AI visibility metrics.
• Full AI responses are available for investigating why tracked metrics changed.
• API, MCP, and reporting integrations are available without requiring an Enterprise subscription.

Cons:

• The main product focuses on monitoring and analysis, so content updates and technical SEO changes still require other tools.
• Basic includes one tracked location per project, which limits its suitability for multinational monitoring.
• Visibility and sentiment scores should be interpreted alongside the underlying answers.

SE Visible is a strong option for marketers who already have an SEO platform but want dedicated reporting on how their brand and content appear in AI search.

The Sources reports are relevant for GEO as they let you see the pages AI repeatedly cites for your target topics. You can use that information to review your existing coverage to find gaps and opportunities.

Integrations: CSV exports, Looker Studio, API access, and MCP access are included with the main paid plans. SE Visible can also be used alongside SE Ranking for traditional SEO analysis.

Quick tip: Start with prompts related to your main product or service categories, then review the cited domains and URLs. Compare those sources with your existing articles and product pages to identify missing information, relevant comparisons, or publications worth looking at more in-depth.

Which platforms does SE Visible cover?

Which GEO Tool Is Right for Your Role?

Not every platform fits every team. The right GEO tool depends on whether you own SEO, content, growth, or client reporting, and which systems you already use as your main source of truth.

Final Verdict: Which GEO tool is best?

If you want a dedicated GEO tool for monitoring AI visibility, researching prompts, and finding citation opportunities, Semrush AI Visibility Toolkit is a good option. It tracks brand mentions, competitor visibility, and cited sources, helping you identify where your brand is missing from AI answers and which content to investigate.

If you already have an SEO stack and need deeper AI-only analytics across many engines, choose Profound. It suits teams that treat AI visibility as its own data product and need citation, prompt, and agent analytics at enterprise depth.

If you want a GEO-first platform that covers monitoring, optimization, and commerce without being tied to a legacy SEO suite, look at Goodie. It is a strong option when you care about sentiment, product visibility, and AI shopping behavior as much as rankings.

If you are a lean in-house team or smaller agency and need something lighter than the big suites, Peec AI, Otterly AI, or SE Visible are good places to start. They give you core GEO insights at prompt level so you can see whether they work for your reality before you step up into heavier enterprise platforms.

GEO Tools FAQ