A year ago, “how do we rank in Copilot?” was a question almost nobody in marketing was asking. Now it’s on the agenda in most SEO meetings I sit in on. Copilot is stitched into Windows, Edge, Bing, and Microsoft 365, so when it names a brand inside an answer, that answer lands in front of a very large, work-focused audience, often before the person ever visits a search results page.
The catch is that Copilot doesn’t work like Google. There’s no ranked list of ten blue links to check your position in. Copilot reads Bing’s index, pulls a handful of sources, and writes a synthesized answer that cites only a few of them. So the question shifts from “where do we rank?” to “does Copilot mention us, how often, alongside whom, and which sources is it pulling from?” Answering that reliably needs a specialized AI visibility tool that sends the same prompts to Copilot on a schedule and logs what comes back.
I’ve spent a lot of time with these platforms, and the market has sorted itself into a few clear camps: dedicated AI visibility trackers, enterprise answer-engine platforms, and traditional SEO suites that have bolted on an AI module. Below are the six I’d actually recommend, what each one is good at, and where each one will frustrate you.
One thing worth flagging before you read on: a lot of “does it track Copilot?” claims come with an asterisk. Several tools that advertise broad AI coverage put Copilot behind a paid add-on or an enterprise tier, so the headline price isn’t the price you’ll pay. I’ve noted that under each tool.
The best Copilot AI visibility tools at a glance
| Best for | Copilot on entry plan | Starting price | |
|---|---|---|---|
| Rankshift | Teams that want monitoring plus a clear path to fixing it | Yes | €69/month |
| Otterly.ai | A cheap, honest first look at Copilot | Yes | $29/month |
| Peec AI | Marketing teams that live in the dashboard | Yes (pick-3 models) | ~$95/month |
| Profound | Enterprises treating AI visibility as a KPI | No (higher tiers) | $99/month |
| Scrunch AI | Enterprise teams that also care about AI crawlers | Yes | $250/month |
| Ahrefs Brand Radar | Teams already deep in Ahrefs | Yes (per-index) | $199/month + base plan |
What actually matters when tracking Copilot
Before the tools, it helps to know what you’re measuring, because “Copilot visibility” is really several different metrics wearing one label.
The reason Copilot is its own tracking problem comes down to how it builds answers. It leans heavily on Bing’s index, and it cites very few sources per answer. In one recent analysis of Copilot responses, six in ten answers cited four domains or fewer, which means there are far fewer citation slots to win than in a traditional search result. And holding a slot is hard: the same study found that only 41.5% of Copilot prompts kept the same top-cited domain from one week to the next. Citations turn over fast, which is exactly why continuous monitoring beats a one-off check.
That context shapes what a good tool should show you:
- Mention rate: the share of relevant prompts where your brand appears at all.
- Share of voice and position: how often you appear relative to competitors, and whether you’re the first name or the fifth.
- Citations and sources: which specific URLs and domains Copilot pulled to build its answer. Because Copilot cites so few sources, this is often more actionable than the mention itself.
- Sentiment: whether Copilot describes you positively, neutrally, or negatively.
- Prompt-level data: results for the exact commercial questions that matter to you, not just an aggregate score.
- How the data is collected: whether the tool queries the real Copilot interface a user would see, or a model API that can behave differently.
A single “visibility score” of 62 versus 71 tells you almost nothing on its own. The tools worth paying for let you drill from the score into which prompts, which competitors, which citations, and what changed.
Rankshift
Rankshift is an AI visibility and GEO platform built to monitor and improve how brands appear inside AI-generated answers across ChatGPT, Gemini, Google AI Overviews, AI Mode, Copilot, Perplexity, Claude, Meta AI, and Mistral. Instead of traditional keyword rankings, it uses prompt-based tracking to analyze AI responses for brand mentions, citations, competitor visibility, and share of voice. What sets it apart is that it combines that monitoring with citation intelligence, competitor analysis, crawler analytics, and actionable recommendations, so you understand not only where you appear in AI search, but why you appear and what to do about it.
That “why and what next” layer is the reason I’ve put Rankshift at the top. Most tools in this list are excellent at telling you that you’re invisible for a given prompt. Fewer are built to close the loop. Rankshift’s Action Center takes the insights scattered across the platform and turns them into a prioritized to-do list, and its Content Brief Generator analyzes the AI responses, citations, concepts, and entities behind a prompt to guide what you should actually publish. There’s also a built-in AI content writer that works from those same patterns. For a team that wants measurement and execution to live in one place, that’s a meaningfully different proposition from a pure tracker.
The basics
Rankshift was founded in 2025 by Pieter Verschueren and Denis Debacker, and is headquartered in Belgium. It’s a young, focused company in the GEO category rather than a venture-scale enterprise suite, which shows up in its narrow-but-deep product scope.
Why it stands out
The differentiator is the combination of breadth and follow-through. On breadth, Rankshift tracks brand mentions, citations, competitor visibility, and share of voice across the full spread of major AI platforms using prompt-based monitoring, and it does so with historical tracking so you can see how visibility shifts over time across brands, competitors, prompts, and models. On follow-through, it does the things a dashboard alone can’t: it identifies opportunities where a competitor or a third-party source is cited but your own brand or site is missing, shows how to improve visibility for individual prompts, and rolls all of that into a prioritized plan in the Action Center. One detail I appreciate as a methodology point is that Rankshift uses UI-based tracking to capture responses from the real interfaces users interact with, rather than relying solely on model API outputs, which is the more honest way to measure what Copilot actually shows people.
Key features
- Prompt-based tracking of brand mentions, citations, competitor visibility, and share of voice across nine AI platforms, including Copilot.
- Historical tracking across brands, competitors, prompts, and models.
- Citation and source intelligence showing which domains and URLs influence AI answers, and where competitors are cited.
- Sentiment and theme analysis surfacing the recurring strengths, weaknesses, and topics AI models associate with your brand.
- Content Brief Generator and a built-in AI content writer that work from real AI responses, citations, and entities.
- Crawler analytics showing when AI bots visit your site and which pages they use.
- ChatGPT ads tracking and competitive intelligence.
- REST API and MCP access, so Rankshift data can flow into tools like ChatGPT, Claude, Cursor, n8n, and other workflows, plus integrations with Looker Studio, BigQuery, and Power BI.
- Flexible tracking frequencies, unlimited users and projects on every plan, and tracking across unlimited countries and languages.
Watch-outs
Rankshift’s pricing is credit-based, so teams need to think about tracking frequency, prompt count, and model selection when managing usage. It also isn’t trying to be an all-in-one SEO platform; it’s built specifically for AI visibility, GEO, and AI search optimization, so if you’re looking for a traditional backlink index and classic rank-tracking suite in the same tool, this isn’t that.
Pricing
Rankshift starts at €69/month for the Starter plan billed annually, which includes 150 prompts with daily tracking. There’s a 30-day free trial with no credit card required. Usage is credit-based to control tracking frequency and model coverage, and every plan includes unlimited projects, users, countries, and languages.
Otterly.ai
Otterly is where I’d point someone whose question is simply “are we showing up in Copilot at all, and how does that change over time?” It runs your prompts daily across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot, and logs mentions, cited URLs, sentiment, and competitors, alongside a GEO audit that checks whether AI crawlers can even reach your pages. It’s the tool that made “check your Copilot visibility for $29” a realistic sentence.
The basics
Otterly.ai is an Austrian company, based in Vienna, that launched in October 2024. It’s deliberately bootstrapped with no external funding, and it earned a spot on Gartner’s 2025 Cool Vendors list for AI in marketing, which is a useful trust signal for a young tool in a young category.
Why it stands out
The standout is genuinely the pricing model, and specifically what’s included in it. Microsoft Copilot is one of the four base engines on every tier, not something you unlock by upgrading, which is rarer than you’d expect in this category. Pair that with unlimited team members on every plan and daily tracking even on the cheapest tier, and Otterly is unusually easy to justify as a starting point for a small team or an agency running a quick baseline before committing real budget.
Key features
- Daily tracking across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot on all plans.
- Brand mentions, cited URLs, sentiment, and competitor tracking.
- GEO audits that check whether your pages are crawlable and citable by AI.
- Unlimited team members on every tier.
- API and MCP access on Standard and above.
Watch-outs
The Lite plan’s 15 prompts are fine for testing but thin for a company with a real category and multiple competitors, and it’s easy to spend all fifteen on questions you already expect to win. The jump from Lite to Standard is steep. And the four base engines don’t include Claude, Gemini, or Google AI Mode, which are billed as per-engine add-ons that get more expensive at higher tiers, so the headline price rises quickly if you need broad coverage beyond the core four.
Pricing
Otterly runs three self-serve tiers: Lite at $29/month for 15 prompts, Standard at $189/month for 100 prompts (adding API and MCP access), and Premium at $489/month for 400 prompts. Annual billing takes roughly 15% off, extra prompts are sold in 100-packs at $99/month, and Enterprise is custom, starting around $1,000/month. There’s a free trial with no credit card required.
Peec AI
Peec sits a notch above the entry-level trackers. It’s built for a marketing or SEO team that wants to turn Copilot visibility into something they can work with, tracking visibility, position, sentiment, share of voice, competitor comparisons, and the sources influencing answers, with a UI that’s noticeably more polished than most of the category.
The basics
Peec AI is a Berlin company, founded in early 2025 by Marius Meiners, Daniel Drabo, and Tobias Siwonia out of the Antler startup program. It has grown fast: it raised a $21 million (roughly €18 million) Series A led by Singular in November 2025, bringing total funding to around $29 million, and reports thousands of brands and agencies on the platform.
Why it stands out
Peec’s reputation is built on the quality of its analytics and the clarity of its reporting. It’s strong on the gap analysis that actually drives decisions, showing you the prompts where a competitor appears and you don’t, plus citation and source analysis so you can see which domains are feeding Copilot’s answers. A practical detail that matters for international brands: countries and languages don’t cost extra, because pricing is tied to prompt usage rather than regions. It also recommends looking at groups of prompts rather than obsessing over any single one, which is the right instinct given how variable AI answers are.
Key features
- Visibility, position, sentiment, and share-of-voice tracking with daily refresh.
- Competitor benchmarking and prompt-level gap analysis.
- Citation and source analysis across engines.
- Multi-country and multi-language tracking at no extra per-region cost.
- Unlimited users on paid plans, plus API, MCP, and Looker Studio support.
Watch-outs
The main constraint is the model cap: Starter through Advanced let you track only three engines at once, chosen from a standard set that includes ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, and Microsoft Copilot. Extra models are add-ons, and engines like Claude and DeepSeek sit behind the Enterprise tier. Costs also scale meaningfully once you need more prompts, more models, or more projects.
Pricing
Peec’s brand plans run roughly $95/month for Starter (50 prompts, three models, one project), $245/month for Pro (150 prompts), and $495/month for Advanced (350 prompts), with a custom Enterprise tier. Annual billing saves about 15%, extra models cost between $30 and $140/month depending on tier, and there’s a free trial.
Profound
If AI visibility is becoming a formal marketing KPI with executive attention, Profound is the platform I’d demo first. It goes well beyond “you appeared 27% of the time,” analyzing prompts, citations, citation sources, sentiment, competitors, and AI-driven demand, and it captures responses from the consumer-facing AI experiences rather than relying solely on model APIs.
The basics
Profound was founded in 2024 in New York by James Cadwallader and Dylan Babbs. It’s the best-funded name in the category by a wide margin, having raised roughly $155 million across several rounds, including a Series C led by Lightspeed Venture Partners in early 2026 that valued it at $1 billion. That backing funds a data operation on the scale of over a billion real AI conversations, which is a large part of what you’re paying for.
Why it stands out
Profound’s depth is the differentiator. Its Conversation Explorer tries to quantify AI search demand (effectively “search volume” for the AI era), and its Answer Engine Insights analyze which sources drive brand mentions. Its competitor functionality is particularly clever: it can surface competitors based on who actually gets cited in responses, rather than only the rivals you manually enter. Add enterprise-grade security (SOC 2 Type II, SSO), strong reporting, and an increasingly capable agent-based action layer, and it’s a genuine operating system for a large-scale GEO program.
Key features
- Visibility, share of voice, average position, and sentiment across a broad set of answer engines.
- Deep citation and source intelligence, including auto-detected competitors.
- Conversation Explorer for AI search demand analysis.
- AI crawler and referral analytics.
- Agents for automating content and optimization tasks.
- Enterprise security and reporting: SOC 2 Type II, SSO, custom dashboards, and exports.
Watch-outs
The important caveat for this article: Copilot isn’t included in the $99 Starter plan, which tracks ChatGPT only. Multi-engine coverage starts on the $399 Growth plan, and broad Copilot coverage effectively lives in the higher and Enterprise tiers, so the entry price is misleading if Copilot is your actual target. Profound is also more platform than a small team needs, and pricing becomes less transparent as requirements grow.
Pricing
Profound’s published tiers are Starter at $99/month (ChatGPT only, 50 prompts), Growth at $399/month (three answer engines, 100 prompts), and custom Enterprise pricing that unlocks up to nine engines, including Copilot, plus multiple companies and enterprise support.
Scrunch AI
Scrunch is more than a visibility tracker. It’s positioned as a broader answer-engine platform that pairs monitoring with site auditing and, notably, analysis of how AI crawlers and agents actually access your site. If your interest extends past “does Copilot mention us?” toward “can Microsoft’s bots even read and use our pages?”, Scrunch is built for that conversation.
The basics
Scrunch AI was founded in 2023 in Salt Lake City by Chris Andrew and Robert MacCloy, both formerly of Hearsay Systems. It raised around $19 to $26 million across a seed and a Series A led by Decibel, and in June 2026 it was acquired by Sitecore for a reported ~$225 million. It continues to operate as a standalone product, though enterprise buyers should factor Sitecore’s roadmap into a long-term decision.
Why it stands out
Scrunch’s angle is the “agent experience”: beyond tracking mentions and citations, it examines how AI crawlers interact with your technical architecture and whether your pages are legible to AI agents. Its Core plan includes citation-level source tables, query fan-outs, competitor detection, and a crawler view, and it carries SOC 2 Type II certification, which matters for larger buyers. It’s a good bridge between “measure visibility” and “diagnose why the visibility isn’t there.”
Key features
- Prompt tracking across ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot on Core.
- Citation and source tables, query fan-out analysis, and competitor detection.
- Site audits and AI crawler/agent traffic analysis.
- Sentiment analysis and persona/funnel-stage segmentation.
- SOC 2 Type II, with API access, Looker Studio, and expanded engine coverage on Enterprise.
Watch-outs
The Core plan tracks only four engines and caps you at 125 unique prompts, and each engine counts against that limit, so effective per-query coverage is smaller than it looks. The other five engines Scrunch advertises (Claude, Gemini, Meta AI, Google AI Mode, and Grok) plus the deeper Agent Experience Platform features are gated to custom-priced Enterprise. And the $250/month floor is a hard sell for a solo founder or a lean team.
Pricing
Scrunch’s Core plan is $250/month billed annually (around $300 month-to-month), including 125 prompts, one brand workspace, five users, and five site audits a month. Enterprise is quote-priced and expands to nine engines with API access, SSO, and dedicated support. There’s a 7-day free trial with no card required, but no permanent free tier.
Ahrefs Brand Radar
Ahrefs took a different route to Copilot tracking. Rather than only running the prompts you think of, Brand Radar analyzes visibility across a huge database of real, search-backed AI prompts, then lets you add custom prompts for your own commercial questions. For a team already living in Ahrefs, the appeal is seeing AI mentions and citations in the same place as your backlink profile and keyword data.
The basics
Ahrefs was founded in 2010 by Dmytro Gerasymenko and is headquartered in Singapore. It’s famously bootstrapped, with no venture funding, and is one of the two dominant traditional SEO platforms, which is why its AI layer feels substantive rather than tacked on.
Why it stands out
The differentiator is the dataset and the integration. Brand Radar tracks AI mentions, citations, and share of voice across six AI surfaces, including Copilot, against an index of hundreds of millions of organic prompts, so you get retroactive AI-mention data with essentially zero setup. Because it’s built on Ahrefs’ crawler and keyword database, you can correlate AI visibility with real search demand and backlink data in a way standalone trackers simply can’t, and you can name the exact external pages Copilot is sourcing to build its answers.
Key features
- AI mentions, citations, and share of voice across six AI surfaces, including Copilot.
- A very large search-backed prompt index with retroactive data.
- Custom prompt tracking for your own commercial queries.
- Competitor benchmarking tied to Ahrefs’ broader SEO and backlink data.
- Correlation between AI visibility and traditional search performance.
Watch-outs
Pricing is the sticking point, and it’s a stack rather than a single fee. Brand Radar requires an active Ahrefs base subscription, then charges per AI index, and its chatbot indexes refresh only monthly unless you buy custom prompt checks. Independent reviews put a realistic full-coverage configuration at roughly $828/month and up, which is where dedicated trackers start to look like bargains. It’s also a monitoring tool: there’s no optimization or content-execution loop, and testers have flagged accuracy gaps in its snapshot method, so treat the numbers as directional and verify the important ones.
Pricing
Brand Radar costs $199/month per AI index or $699/month for all indexes, on top of an Ahrefs base plan that starts at $129/month (Lite). The all-platform bundle includes 2,500 custom prompt checks per month, where one check equals one prompt on one engine in one location.
A few others worth a mention
The six above are the ones I’d shortlist, but the category is crowded and a couple of others come up often enough to note. Semrush has an AI Visibility Toolkit starting around $99/month per domain that’s a natural fit if your team already lives in Semrush, though its base coverage leans toward ChatGPT, Google’s AI surfaces, Gemini, and Perplexity, so confirm the exact Copilot availability for your plan before buying. SE Ranking similarly folds AI results tracking into a traditional SEO suite, which is convenient if you want Bing and Google ranking data next to your AI visibility. Both are reasonable if consolidation matters more to you than depth of Copilot-specific analysis.
How to choose
If you’re just starting and want to know whether Copilot mentions you at all, start cheap with Otterly and treat it as a baseline. If you have a marketing team that will genuinely work the data day to day, Peec is the nicer environment. If AI visibility has become a real KPI with budget and stakeholders behind it, Profound has the depth, and Scrunch is the pick when AI crawler behavior is part of the question. If you already pay for Ahrefs, Brand Radar is the path of least resistance.
But the reason I put Rankshift first is that most of these tools stop at measurement. Knowing you’re invisible for a prompt is only useful if the next step is obvious, and Rankshift is built around that next step: it ties citation intelligence, competitor gaps, and content briefs into a prioritized plan, and it captures what real users see in Copilot rather than what an API returns. For a team that wants to both measure Copilot visibility and do something about it without stitching three tools together, that’s the combination I’d reach for.
Whichever you choose, do one thing before you commit: run the same 25 to 50 commercially important prompts through two or three tools for a few weeks. Copilot’s answers shift by wording, location, and time, so what you’re really testing isn’t which dashboard looks nicer, it’s which tool gives you repeatable, trustworthy measurement of the questions that actually matter to your business.
