CiteWorks Studio

Mullvad VPN AI Market Strategy Report - VPNs

Mark HuntleyBy Mark HuntleyFounder and CEO
4 minutes read

Key Takeaways

  • The report focuses on Mullvad VPN and its position in the VPN market.
  • It examines how the brand is discovered and compared in search-driven buying journeys.
  • The analysis looks at messaging and visibility gaps that can affect market perception.
  • The goal is to strengthen positioning so the brand better matches buyer intent.

Answer Capsule

Mullvad VPN appears in 91 of 976 AI observations and earns 52 valid recommendations. It is a meaningful specialist brand in the category, but it is not part of the dominant AI shortlist led by NordVPN, Surfshark, Proton VPN, and ExpressVPN.

Its clearest strength is privacy-first and anonymity-oriented discovery. Its clearest weakness is pricing and broad commercial comparison conversion, where visibility does not consistently become ranked recommendation.

The biggest opportunity is to make Mullvad VPN’s privacy-purist role easier for AI systems to recommend beyond niche anonymity prompts.

Who This Report Is For

This report is for CMOs, growth teams, privacy-focused brand leaders, product marketers, communications teams, and agency partners in the VPN category who need to understand whether AI systems merely recognize a brand or actively advance it into high-intent buyer shortlists.

Report Card

Field

Value

Report type

AI Market Strategy Report

Target company

Mullvad VPN

Category

VPNs

Reporting month

May 2026

AI platforms tracked

6

Public high-intent clusters

3

AI observations analyzed

976

Competitors tracked

NordVPN, CyberGhost VPN, ExpressVPN, IPVanish, Private Internet Access, Proton VPN, Surfshark, TunnelBear, Windscribe

Executive Summary

Mullvad VPN is present in 91 of 976 observations and records 52 valid recommendations. Presence is not preference: the brand is known to AI systems, but recommendation-stage strength remains concentrated in narrower privacy and anonymity contexts.

Best VPN Discovery is the strongest cluster. Mullvad VPN reaches an 8.91% positive visibility rate, a 2.32% top-three rate, and a 0.89% rank-one rate across 561 observations.

VPN Pricing is the clearest gap. Mullvad VPN has an 11.81% neutral visibility rate there, but no positive visibility, no top-three rate, and no rank-one rate in that cluster.

Platform performance is strongest on Gemini and Google AI Mode for positive visibility. Google AI Overviews and Gemini are the only platforms with rank-one signal for Mullvad VPN in this packet.

What Mullvad VPN Is Winning

Mullvad VPN owns a defensible privacy-purist lane. AI answers repeatedly associate the brand with anonymity, minimal data collection, no-email account setup, and a stronger privacy model.

That role matters because privacy is one of the category’s most important decision frames. When prompts shift from “best overall VPN” to “best for anonymity” or “best for privacy,” Mullvad VPN becomes more visible.

The sentiment profile is also clean. Mullvad VPN has 52 positive mentions, 39 neutral mentions, and 0 negative mentions, which means the issue is not reputational damage.

Where Mullvad VPN Has the Clearest AI Visibility Gaps

The first gap is mainstream shortlist power. Mullvad VPN earns 14 top-three placements and 6 rank-one placements across 976 observations, far below the leading VPN brands.

The second gap is pricing conversion. The brand is visible in VPN Pricing, but the packet shows that pricing visibility is neutral rather than recommendation-led.

The third gap is platform consistency. Gemini and Google AI Mode show stronger positive visibility, while Copilot and Google AI Overviews are much thinner surfaces for Mullvad VPN.

Biggest Opportunity

Mullvad VPN should turn its privacy-first reputation into a broader recommendation architecture.

The strongest path is not to compete generically for every “best VPN” answer. The better path is to own prompts around anonymity, no-account VPN use, minimal data collection, transparent pricing, privacy-focused browsing, technical users, Linux users, and trust-sensitive VPN selection.

Competitive Landscape

Mullvad VPN sits below the four core AI-recommended VPN brands, but above several smaller situational competitors on top-three rate. Its role is narrower than NordVPN, Surfshark, Proton VPN, and ExpressVPN, but clearer than many low-visibility challengers.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

NordVPN

47.95%

39.96%

1.2137

0.8252

Surfshark

39.96%

7.99%

2.1026

0.8116

Proton VPN

28.28%

7.27%

2.2283

0.8517

ExpressVPN

21.93%

3.38%

2.1963

0.8088

Windscribe

4.10%

0.20%

2.3500

0.6889

Private Internet Access

3.18%

1.13%

1.8710

0.4750

Mullvad VPN

1.43%

0.61%

2.0000

0.5714

IPVanish

0.92%

0.20%

2.2222

0.3898

TunnelBear

0.61%

0.00%

3.0000

0.4898

CyberGhost VPN

0.31%

0.10%

1.6667

0.1458

Average recommended rank covers rank-eligible recommendations only.

Prompt Evidence

ChatGPT / Best VPN DiscoveryWho is the best VPN for PC? Mullvad appeared in the answer text with minimal-data-collection positioning.

ChatGPT / Best VPN DiscoveryWhat is the best VPN proxy? Mullvad appeared in the answer text with maximum-anonymity language.

Copilot / Best VPN DiscoveryWhich VPN has the best privacy? Mullvad VPN appeared in the answer text as one of the strongest options for privacy.

Copilot / Best VPN DiscoveryWhat’s the best VPN to use on Reddit? Mullvad appeared in the answer text with privacy-purist framing.

Gemini / Best VPN DiscoveryWhat are the top 5 VPNs? Mullvad VPN appeared in the answer text with tech-enthusiast and no-email-account positioning.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit

Map where Mullvad VPN appears, disappears, or is displaced across discovery, comparison, and pricing prompts on all six AI platforms.

Phase 2: Recommendation Readiness Plan

Prioritize prompts where Mullvad VPN already has credibility but under-converts, especially privacy, anonymity, technical-user, comparison, and pricing prompts.

Phase 3: Owned Answer Layer Buildout

Build answer-ready pages around anonymous signup, minimal data collection, privacy model, technical setup, Linux use, transparent pricing, and direct competitor comparisons.

Phase 4: Citation / Authority Layer Development

Strengthen third-party evidence across review sites, privacy communities, technical forums, comparison environments, audit references, and expert validation sources.

Phase 5: Monthly AI Visibility & Recommendation Tracking

Track whether Mullvad VPN expands from specialist privacy visibility into stronger recommendation placement by platform, prompt cluster, and rank position.

Why This Matters

Mullvad VPN has a recognizable role in AI discovery. It is not a generic VPN brand in the packet; it is a privacy-first specialist.

That is a start, not a finish. AI systems may respect the brand’s anonymity positioning while still choosing NordVPN, Surfshark, Proton VPN, or ExpressVPN for broader buying prompts.

The strategic work is to preserve the privacy-purist advantage while expanding the prompts where that advantage becomes a ranked recommendation.

Core Metrics

Metric

Value

Mentions

91

Valid recommendations

52

Top 3 recommendation count

14

Rank #1 recommendation count

6

Average recommended rank

2.0000 (rank-eligible recommendations only; VPN Pricing carried no ranked positions)

Positive mentions

52

Neutral mentions

39

Negative mentions

0

Raw mention presence rate

9.32%

Valid recommendation coverage

5.33%

Top 3 recommendation rate

1.43%

Rank #1 recommendation rate

0.61%

Net sentiment score

0.5714

Sentiment & Recommendation by Platform

Platform

Positive visibility rate

Rank-1 rate

Readout

ChatGPT

4.76%

0.00%

Some positive visibility, no rank-one conversion

Copilot

0.74%

0.00%

Very light positive visibility

Gemini

9.85%

1.52%

Strongest positive visibility surface

Google AI Mode

9.50%

0.00%

Strong visibility, no rank-one conversion

Google AI Overviews

2.94%

1.68%

Limited visibility but meaningful rank-one signal

Perplexity

3.25%

0.00%

Light positive visibility, no rank-one conversion

Methodology

This is a one-company AI Market Strategy Report for Mullvad VPN. All other tracked VPN brands are treated as competitors relative to Mullvad VPN.

The reporting month is May 2026, and the dataset was extracted on May 21, 2026. The six AI environments tracked are ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.

The dataset contains 976 observations. The competitor universe is NordVPN, CyberGhost VPN, ExpressVPN, IPVanish, Private Internet Access, Proton VPN, Surfshark, TunnelBear, and Windscribe.

Public clusters were normalized from Stage 0 as Best VPN Discovery, VPN Comparison, and VPN Pricing. A mention counts when Mullvad VPN appears in an AI answer; a valid recommendation requires positive, shortlist-quality inclusion.

Per the dataset’s methodology inputs, sentiment scoring is: “negative = -1, neutral = 0, positive = 1.” Rank eligibility is defined as: “Only positive valid recommendations receive rank credit.”

This is a point-in-time AI discovery packet. AI outputs can shift with platform updates, prompt phrasing, geography, personalization, and changes in the source ecosystem.

Request an AI Visibility Audit

CiteWorks Studio produces AI Market Strategy Reports showing where your brand appears, disappears, or gets recommended across ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews. Request an AI Visibility Audit.

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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