Written by:
Rokas Stankevicius
Founder @ aiclicks.io
Reviewed by:
Matas Kibildis
Head of Growth @ aiclicks.io
How well is your brand showing up in AI-generated answers and AI-generated responses? Not just Google results or Bing blue links, but actual replies from AI search engines like Microsoft Copilot? This is the question every marketer and business should be asking in 2025.
AI search is not on the horizon; it’s right here, reshaping how users find products, make decisions, and interact with brands, and it’s redefining search visibility far beyond classic SERPs. I know, because I watch it happen every single day at AIclicks.io.
Traditional SEO had us tracking rankings, building links, and praying for organic traffic in traditional search engines, obsessing over classic search engine rankings. But today, conversational AI tools like Copilot, powered by Bing, control how brands are recommended and cited, and these AI tools quietly decide your AI visibility and overall AI search performance.
In this article, I’ll break down what makes the best Copilot rank tracking tools and broader AI search visibility platforms essential, what features you need to look for, and how to choose one that fits your business alongside your existing SEO tools and AI SEO workflows. And yes, I’ll share honest insights from the front lines on what’s working right now for companies both big and small.
9 Best Copilot Rank Tracking Tools: Comparison Table
Tool | Best For | Coverage | Key Features |
|---|---|---|---|
Overall AI search visibility & Copilot optimization | Copilot, ChatGPT, Gemini, Perplexity, and more | • AI visibility dashboards | |
Otterly AI | Budget-conscious brands | Multiple AI search engines including Copilot | • Basic AI visibility metrics |
Keyword.com AI | Solopreneurs & small businesses | Basic Copilot and AI engine coverage | • Entry-level visibility tracking |
Nightwatch | Hybrid traditional/AI SEO needs | Copilot, traditional search, local & global markets | • Combined AI/traditional tracking |
LLMrefs | Small agencies | Multiple AI engines including Copilot | • Simple user interface |
Rankability Analyzer | Enterprise multi-market operations | Copilot, multiple AI engines, traditional search | • Advanced alerting systems |
SE Ranking AI | Enterprise global brands | Copilot, multiple AI engines, traditional search | • Advanced alerting systems |
Hall AI | Specialized AI reporting needs | Specific AI platforms including Copilot | • Niche reporting capabilities |
Peec AI | Specialized AI reporting needs | Specific AI platforms including Copilot | • Niche reporting capabilities |
Best Copilot Rank Tracking Tools - Practical Review
Below are my reviews of the best Copilot rank tracking tools on the market for 2025. The guide reflects what you get today, but features evolve, so always double-check the latest updates, especially as multiple AI search platforms roll out new capabilities.
1. AIclicks (Our platform)

AIclicks was built to solve what existing Copilot rank trackers miss. Legacy SEO tools can’t reliably detect AI search results or the signals behind Copilot citations, so we engineered a platform that can.
The platform excels at tracking brand visibility across multiple AI search engines simultaneously, with particular focus on Copilot, providing actionable intelligence on how brands are represented in AI responses.
Its prompt audit feature has become particularly valuable for teams looking to quickly assess their standing across Copilot and identify immediate optimization opportunities, making it a first-choice tool for serious AI rank tracking focuses.

Strengths:
Comprehensive tracking across multiple AI engines, including Copilot, ChatGPT, Gemini, and Perplexity
Dedicated AI overview visibility dashboards showing brand mentions in AI-generated content
Citation intelligence to identify external sources used by Copilot
Prompt library management for optimizing brand mentions in Copilot
Competitor benchmarking capabilities across AI search engines
Detailed reporting with exportable data
Considerations:
Primarily focused on AI search results rather than traditional SEO
Newer to the market compared to some other tools
Suitable use cases:
Brands beginning their journey tracking brand visibility in Copilot
Companies wanting a comprehensive AI overview tracking with Copilot as a priority
Enterprise clients needing single-source-of-truth dashboards for performance across AI search engines
Teams focused specifically on winning in Bing Copilot
Pricing:
Available in both standard and enterprise tiers
Positioned as a value option in the budget/broad coverage category
2. Otterly AI

Otterly AI has emerged as a notable player in the Copilot rank tracking space, offering visibility monitoring across multiple AI engines at an accessible price point.
The tool addresses the growing need for brands to monitor their presence in AI search results, particularly Copilot and other AI search engines, without breaking the budget.
While not as feature-rich as some premium alternatives, Otterly AI delivers essential metrics that help teams understand how their content performs in AI responses. The platform appears designed with simplicity in mind, making it approachable for organizations just beginning to explore AI rank tracking.
Strengths:
Coverage across multiple AI search engines including Copilot
Budget-friendly pricing for tracking brand visibility
Monitors AI generated content mentions
Considerations:
Less detailed information available in the source text
May not have all the advanced features of premium options
Suitable use cases:
Budget-conscious brands needing Copilot AI overview tracking
Teams needing basic visibility monitoring across AI search engines
Pricing:
Positioned as an affordable option in the market
3. Keyword.com AI

Keyword.com AI represents an entry point into Copilot rank tracking for individuals and small businesses looking to understand their presence in AI search results.
The platform offers fundamental AI overview visibility monitoring capabilities tailored to those with limited resources or just beginning their journey with AI SEO tools. Rather than overwhelming users with complex features, Keyword.com AI likely focuses on delivering straightforward metrics that matter most to solopreneurs and emerging brands looking to track their performance on Copilot.
Strengths:
Accessible for beginners to AI rank tracking focuses
Entry-level functionality for monitoring AI generated content
Basic tracking of brand visibility in Copilot
Considerations:
Likely has more limited features compared to more robust platforms
May not offer the depth needed for larger organizations
Suitable use cases:
Solopreneurs needing basic visibility data across AI search engines
New brands just beginning to track AI responses
Small businesses with basic needs
Pricing:
Entry-level pricing suitable for individuals and small businesses
4. Nightwatch

Nightwatch distinguishes itself by bridging the gap between traditional SEO tools like Advanced Web Ranking and emerging AI rank tracking focuses. This hybrid approach makes it particularly valuable for agencies and SMBs that need to monitor both conventional search rankings and AI search results, including Copilot-generated responses.
The platform appears to have evolved from its roots in classic SEO to incorporate comprehensive AI overview tracking capabilities, positioning itself among the best AI SEO tools for digital presence monitoring.
Strengths:
Hybrid approach covering both AI responses and classic SEO
Good for tracking brand visibility across multiple channels
Supports local SEO and global monitoring across AI search engines
Considerations:
May not have the Copilot-specific depth of specialized tools
Focuses on broader SEO metrics beyond just AI generated content
Suitable use cases:
Agencies handling multiple aspects of SEO including Copilot optimization
SMBs that need comprehensive search visibility
Teams that want to consolidate traditional and AI rank tracking focuses
Pricing:
Positioned in the Agency/SMB category, likely mid-range pricing
5. LLMrefs

LLMrefs has carved out a space in the market by focusing on the specific needs of smaller agencies requiring visibility on Copilot.
The platform prioritizes simplicity and accessibility without sacrificing essential functionality, making it particularly appealing to teams that value straightforward interfaces for AI rank tracking focuses.
Unlike more complex enterprise solutions, LLMrefs likely emphasizes ease of use and quick implementation, allowing smaller agencies to begin tracking brand visibility in AI search results without extensive onboarding.
Strengths:
Tracking across multiple Ai platforms including Copilot
Cost-conscious approach to monitoring AI responses
Simple, user-friendly interface for AI overview tracking
Considerations:
May lack some of the advanced features of enterprise solutions
Focused specifically on agency needs
Suitable use cases:
Smaller agencies monitoring client performance in AI generated content
Teams preferring simple interfaces for tracking across AI search engines
Cost-conscious organizations needing multi-engine tracking
Pricing:
Affordable pricing suitable for agencies and SMBs
6. Rankability Analyzer

Rankability Analyzer represents an enterprise-grade solution for organizations with complex requirements for tracking brand visibility on Copilot. The tool likely offers sophisticated capabilities designed for large-scale operations with significant investments in both traditional SEO tools like Advanced Web Ranking and AI overview tracking.
Strengths:
Advanced alerting systems for changes in AI search results
Comprehensive integrations for tracking across multiple AI engines
Support for multi-market monitoring of AI responses
Works across both AI and traditional search
Considerations:
Likely higher price point
May have steeper learning curve due to advanced features
Suitable use cases:
Enterprise organizations needing sophisticated tracking across AI search engines
Global brands operating in multiple markets
Companies requiring advanced integration capabilities for AI overview visibility
Pricing:
Enterprise-level pricing
7. SE Ranking AI

SE Ranking AI stands as another enterprise-focused solution among the best AI SEO tools, offering robust capabilities for organizations with substantial resources and complex needs for tracking brand visibility on Copilot.
Its positioning suggests a tool designed for organizations operating at scale, with features that extend beyond basic visibility tracking to include advanced alerting mechanisms for AI responses and integration capabilities.
Strengths:
Advanced alerting systems for changes in AI generated content
Comprehensive integrations for tracking across multiple AI search engines
Multi-market support for monitoring AI responses
Covers both AI and traditional search engines
Considerations:
Likely higher price point
Potentially complex setup and management
Suitable use cases:
Enterprise organizations needing robust monitoring across AI search engines
Global brands operating in multiple markets
Companies requiring advanced integration capabilities
Pricing:
Enterprise-level pricing
8. Hall AI

Hall AI represents a specialized solution within the AI rank tracking ecosystem, focusing on niche reporting requirements for specific aspects of AI search results rather than attempting to be a comprehensive visibility tool.
This specialized approach likely allows Hall AI to provide deeper insights into particular AI responses that broader tools might not capture in detail. While its narrow focus means it probably wouldn’t serve as a primary tool for most organizations, Hall AI appears valuable as a supplementary solution for teams with specific reporting needs.
Strengths:
Specialized reporting capabilities for AI responses
Focus on specific AI engines including Copilot
Niche metrics for AI generated content
Considerations:
Narrow focus compared to more comprehensive tools
May not be suitable as a primary tool for general AI overview tracking
Suitable use cases:
Organizations with very specific reporting needs for AI search results
Teams needing to supplement broader tools with specialized insights
Companies focusing on particular aspects of AI responses
Pricing:
Not specified in the source text
9. Peec AI

Peec AI, like Hall AI, occupies a specialized niche in the AI rank tracking market, providing focused reporting capabilities for specific aspects of AI search results rather than attempting to serve as an all-in-one solution.
This targeted approach likely allows Peec AI to deliver unique insights and metrics about AI generated content that more general tools might not capture with the same depth. The platform appears positioned as a complementary solution for organizations that already have broader visibility tools in place but require additional specialized reporting for particular AI responses.
Strengths:
Specialized reporting capabilities for AI responses
Focus on specific AI engines including Copilot
Detailed metrics for AI generated content
Considerations:
Narrow focus compared to more comprehensive tools
May not be suitable as a primary tool for general AI overview tracking
Suitable use cases:
Organizations with very specific reporting needs for AI search results
Teams needing to supplement broader tools with specialized insights
Companies focusing on particular aspects of AI responses
Pricing:
Not specified in the source text
Why Copilot Rank Tracking Matters in 2025

A few years back, we obsessively checked our “position 1” or “featured snippet” on Google Search and other major search engines. Now, much of our traffic is coming from the answers produced by Microsoft Copilot and a new wave of AI-powered search engines built on top of major AI models.
I remember running a simple experiment: we asked Copilot, “Best tools for remote teams?” Not only did it cite websites straight from our industry, but the order of those AI-generated search results shifted every week, sometimes even daily.
Here’s what changed since classic SEO days:
Users get summarized, conversational answers, not cluttered search results.
Brand recommendations happen mid-conversation, often without a single blue link, and subtle brand mentions can matter more than raw position.
Copilot and other LLMs pick up on reviews, product roundups, and third-party credibility far more than keywords or backlinks, looking closely at the places where your brand appears across the web.
Tracking your rankings in this world means seeing where and how your brand is actually mentioned, cited, and recommended in AI-generated results and content, not just where it’s ranked on a results page.
Criteria for Choosing a Copilot Rank Tracking Tool
Not every tool is built the same. Smart teams want to:
Track visibility across Copilot and other AI engines, including AI platforms like ChatGPT, Perplexity, and Google AI Overviews (not just one).
Monitor prompt-level performance so you see which questions actually “trigger” your brand. For an in-depth breakdown, see our guide on what prompts to track on ChatGPT and Perplexity.
Get citation snapshots (who cites and from which sources) to power deeper competitor analysis and context around your brand mentions or sentiment analysis.
Export reports that make sense for agencies managing multiple clients or internal teams.
Compare competitors and benchmark regularly, combining AI rank tracking with classic competitor reports.
Get actionable recommendations, not just raw data, including keyword suggestions and content ideas.
It’s a long list, but after watching companies miss opportunities by using basic trackers, I can tell you: the right tool will pay for itself in time saved and insights gained. Look for robust keyword tracking as part of this; otherwise, you’ll struggle to connect prompts back to target keywords and pages.
Core Features to Evaluate in a Copilot Rank Tracker
Over the years, I’ve seen a few “must-haves” emerge as AI-driven search matured:
Multi-Platform Tracking: Does the tracker check Copilot, ChatGPT, Gemini, Perplexity, and other AI search engines and major AI models? Copilot is important, but user queries are everywhere.
Real-Time Prompt Monitoring: How quickly can you see if your brand gets mentioned for new or trending questions? Real-time views help offset the limited historical data that many AI tools still expose.
Citation Transparency: Not just “are you mentioned,” but “where did the AI find your info?” so you know which reviews, listicles, or Wikipedia entries are helping or hurting you and shaping AI-generated search results.

Custom Reporting: For agencies and big teams, exportable reports and dashboards are a must. They save hours every week, especially when blending AI metrics with traditional SEO metrics.
Competitor Comparison: If your tool doesn’t benchmark rivals, you’re missing what I consider half the story of AI search performance.
Alerting and Automation: Weekly changes, sudden drops, or spikes in mentions should trigger a review. No more “drive-by” tracking of AI-generated results.
Our clients frequently use AIclicks charts in team meetings, which saves the pain of patching together spreadsheets or BI dashboards from scratch.
Who Benefits from Using Copilot Rank Tracking Tools?
After working with hundreds of brands, I can tell you where these tools really shine:
Marketing Agencies: Especially those promising AI SEO or local SEO gains for clients, and agencies managing multiple clients at once. Dashboards make reporting painless.
E-commerce & SaaS Teams: Monitoring how often (and why) products are recommended in Copilot or “best of” lists, and where your brand appears alongside competitors, leads directly to more sales.
Enterprises: Integrated reporting across markets and regions, plus the compliance features big teams need, often blending Google Analytics, Google Search Console data, and traditional SEO metrics with newer AI-first dashboards.
Content/SEO Specialists: For those tasked with maintaining “liftable” answer-first content, detailed prompt analytics mean lower guesswork and higher ROI on your target keywords.
Lately, I’ve seen startups discover huge gaps in their AI presence, with no mentions for their key prompts, then double traffic just by following the optimization workflow inside AIclicks.
Product-Led Measurement & Iteration: Our Weekly Playbook
Having the right tool is step one, but what you do with it matters even more. Here’s the same workflow we use (and recommend) for brands focused on Copilot and LLM visibility:
Instrument Traffic: Segment AI referrers in GA4 (think Copilot, Perplexity, ChatGPT links; for detailed setup, see our guide to tracking AI traffic in Google Analytics (GA4)). It’s a living regex list; update it weekly as new platforms pop up.
Cluster Prompts to Revenue: Don’t just track single prompts. Build clusters from commercial keywords and target keywords, tie them to page groups, and map conversions or leads.
Audit External Sources: Use your tracker’s citation reports. If Copilot keeps pulling G2, Trustpilot, or Reddit, target those placements for outreach and monitor brand mentions there.
Technical Hygiene: Ensure Copilot and other bots can crawl your top pages. Use server-side rendering (SSR) for critical content and submit fresh XML sitemaps to both Google Search Console and IndexNow (for Bing/Copilot).
Continuous Optimization: Every week, review your AI visibility charts. Ship micro-fixes: rewrite an intro, update a table, refresh directory listings. Repeat. Continuous work here helps your team overcome the steep learning curve and work around limited historical data in AI analytics.
For us, this routine has uncovered entire content clusters that barely registered in Copilot until we changed the headline, added FAQ schema, or secured a “best of” placement.
Technical Tips for Winning in Copilot Search
Let’s get practical. This is what matters for showing up in AI answers, especially for Copilot:
Allow AI Bots: Don’t block GPTBot, OAI-SearchBot, or PerplexityBot. Rate-limit if necessary, but don’t slam the door. These AI crawlers are how AI-powered search discovers and understands your site.
Use SSR/Static: If your key content needs JS to render, many bots will never see it. Stick to HTML for headings, lists, tables, and FAQs.
XML Sitemaps & IndexNow: Maintain clear sitemaps and submit through both Google Search Console and IndexNow so both engines pick up changes fast.
No Orphan Pages: Keep everything within a three-click path from your home or category pages, and check regularly for crawl issues.
Mistakes here can tank your AI visibility, even if your content is spot-on.
How to Get Started with Copilot Rank Tracking Tools
Getting visibility data used to take ages. Now, setup usually looks like this:
Step 1: Create an account (AIclicks offers easy onboarding).
Share your brand, site, and main keywords.
Step 2: Define primary prompts and competitors.
Most platforms offer starter libraries or import features to speed up keyword tracking.
Step 3: Run your first AI visibility audit.
See actual mention/citation rates, not just rankings.
Step 4: Review, customize, and export reports.
Share findings with your team and prioritize your next actions.
Step 5: (If available) Try free trials.
Several tools, like Otterly AI and Nightwatch, offer these so you can see real data before you commit.
It’s fast. I’ve seen teams, particularly agencies, onboarding and pulling competitive insights the same afternoon. The best AI setups blend simple onboarding with rich reporting, so you can focus on strategy instead of configuration.
Winning External Corroboration: Directory, Forum & Review Strategy
Visibility in Copilot (and most large language models) depends on what other platforms say about you. We see this every week: AI answers cite G2, Trustpilot, Reddit, Capterra, and strong “best of” roundups, right alongside outputs from traditional search engines and modern AI search results. To move your brand up:
Regularly refresh the directory/review profiles and supply updated data.
Monitor which third-party domains AI engines cite and prioritize “must-win” placements.
Join relevant forum threads (without spamming); these get scraped, and an authentic presence matters more than one-off link drops.
Track placement changes. If a rival suddenly outpaces your mentions, check which sources Copilot recently started citing.
I’ve personally watched a brand jump from “invisible” to a top-3 Copilot recommendation within weeks, just by optimizing these external signals.
The Essential Role of AIclicks in Mastering AI-Driven Brand Visibility
AI-driven search is now the key to brand visibility, with Microsoft Copilot leading the way in how customers find and trust businesses. To stay ahead, tracking your brand’s presence across AI search engines is essential.
Among the top tools available, AIclicks stands out for its comprehensive coverage, deep Copilot-specific insights, and powerful prompt management features, making it the best choice for brands serious about winning in AI search.
Embracing these tools and strategies will ensure your brand doesn’t just appear but thrives in the AI-first search landscape. Now is the time to take control of your AI visibility and secure your place in the future of search.
FAQs
Which is better, ChatGPT or Microsoft Copilot?
It depends. ChatGPT is best for creative and versatile tasks, while Microsoft Copilot excels in productivity and integrates tightly with Microsoft 365 apps. For ranking and brand presence, both are important. Track visibility across both, where possible, in your AI rank tracking setup.
Which is better, ChatGPT, Copilot, or Perplexity?
Perplexity is best for research and citation-backed answers, ChatGPT is flexible for writing and conversation, and Copilot rules inside the Microsoft ecosystem. Pick a rank tracker that covers all three so you can compare AI-generated answers side by side.
What is the difference between Copilot and Copilot+?
Copilot is the AI assistant (software), while Copilot+ describes a new class of Windows PCs that do AI processing locally for faster, more powerful features.
Is there any free Copilot?
Yes, Copilot offers free versions for the browser, the app, and Windows. Limited features, but useful for getting started. GitHub Copilot also has a free tier for students and educators.
Is Microsoft Copilot worth the price?
If you rely on Microsoft 365, many find the price justified based on productivity improvements. But for some users, especially small businesses, the cost can be high, and oversight is still needed. Reports suggest users can save 14 minutes a day, and over 70% feel more productive.
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