ESET AI Visibility Market Strategy Report - Antivirus Software

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • ESET ranked fourth in valid recommendation coverage at 51.3% and was one of only two tracked brands to improve since July 2026, up 1.8 points.
  • The main issue is conversion: ESET appeared in 61.55% of qualified observations but reached a top-three rate of just 14.88% and a rank-one rate of 1.55%.
  • ChatGPT was ESET’s strongest platform, with 75.81% valid recommendation coverage and a 50.0% top-three rate, showing it can earn prominent placement in the right context.
  • Perplexity and Gemini showed the clearest gaps, where ESET was mentioned often enough but was less likely to be recommended as a leading antivirus choice.

Answer Capsule

ESET holds a strong but under-converted position in AI-generated antivirus recommendations. The September 2026 benchmark shows ESET with 51.3% valid recommendation coverage, placing it fourth in the category, yet its top-three rate of 14.88% and rank-one rate of 1.55% trail several competitors with lower overall coverage. The clearest win is ESET's rise of 1.8 points since July 2026, making it one of only two tracked brands to gain ground. The clearest weakness is a recommendation conversion gap: ESET appears in 61.55% of qualified observations but converts only a fraction of that presence into top placements. The biggest opportunity lies in converting its strong presence and positive framing into higher recommendation placement, particularly on ChatGPT where it already achieves 75.81% valid recommendation coverage.

Who This Report Is For

This report is for ESET's marketing, brand, and growth leadership teams responsible for understanding how AI systems recommend antivirus software to buyers during the discovery and evaluation process.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

ESET

Category / market studied

Antivirus Software

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1

AI observations analyzed

645

Competitors tracked

10

Executive Summary

ESET holds a credible fourth-place position in AI-generated antivirus recommendations, with 51.3% valid recommendation coverage in September 2026. The benchmark shows ESET is one of only two tracked brands to gain ground since July 2026, rising 1.8 points from 49.5% while most competitors declined. This makes ESET the notable riser in a category where four brands posted significant baseline-to-current declines.

The core challenge is conversion. ESET appears in 61.55% of qualified observations, yet its top-three rate sits at 14.88% and its rank-one rate at just 1.55%. By comparison, Norton appears in 78.6% of observations and converts 45.4% into top-three placements. Bitdefender GravityZone, despite lower overall coverage at 48.8%, achieves a 41.4% top-three rate and a category-leading 33.5% rank-one rate. ESET is present in AI answers but is not being positioned as a leading choice.

ESET's sentiment profile is among the strongest in the category. The brand recorded zero negative mentions across 645 qualified observations, with a net sentiment score of 0.8992. Positive framing is not the issue. The gap is between being mentioned favorably and being recommended prominently.

The strongest platform signal is ChatGPT, where ESET achieves 75.81% valid recommendation coverage and a 50.0% top-three rate, well above its category-level performance. The clearest platform gap is Perplexity, where ESET's valid recommendation coverage falls to 23.61% despite a 40.28% presence rate, indicating substantial visibility without recommendation conversion.

What ESET Is Winning

Questions This Section Answers

  • How did ESET's valid recommendation coverage change between July and September 2026?
  • Where does ESET achieve recommendation coverage competitive with the category leader?

ESET is one of only two brands to record a coverage increase across the July-to-September 2026 series. Valid recommendation coverage rose 1.8 points from 49.5% to 51.3%, while Norton, Malwarebytes, Avast, Bitdefender GravityZone, McAfee, Kaspersky, AVG, and Webroot all declined. This upward movement distinguishes ESET in a contracting category.

ESET holds the strongest sentiment profile among tracked brands. With zero negative mentions and a net sentiment score of 0.8992, ESET is framed positively whenever it appears. This is not true of several competitors. McAfee, for example, carries a 0.6364 net sentiment score with 22 negative mentions.

On ChatGPT, ESET performs at a level competitive with the category leader. ESET achieves 75.81% valid recommendation coverage and a 50.0% top-three rate on that platform, compared with Norton's 75.81% coverage and 66.13% top-three rate. This demonstrates that ESET can win prominent placement when the platform and prompt context align.

Where ESET Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does ESET's high presence rate fail to convert into top-three recommendations?
  • Which platform shows the sharpest gap between ESET's presence and its recommendation placement?

The clearest gap is recommendation conversion. ESET's presence rate of 61.55% is the fourth highest in the category, but its top-three rate of 14.88% ranks fifth and its rank-one rate of 1.55% ranks fifth. The brand is being surfaced in AI answers without being positioned as a top recommendation.

Perplexity represents the sharpest platform-specific gap. ESET appears in 40.28% of Perplexity observations but achieves only 23.61% valid recommendation coverage and a 1.39% top-three rate. The brand is mentioned frequently on this platform but rarely recommended as a leading option.

The comparison to Bitdefender GravityZone is instructive. Bitdefender GravityZone holds lower overall coverage at 48.8% but achieves a 41.4% top-three rate and a 33.5% rank-one rate. ESET's higher coverage does not translate into placement advantage. When AI systems name a first choice, they name Bitdefender GravityZone far more often than ESET.

ESET also shows a notable gap on Gemini, where valid recommendation coverage falls to 41.18% despite a 52.94% presence rate. The brand is present but not consistently recommended on that platform.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest opportunity for improving ESET's recommendation placement across platforms?
  • What kind of problem does ESET's conversion gap point to?

The clearest opportunity is converting ESET's strong ChatGPT performance into a cross-platform recommendation strategy. ESET already achieves 75.81% valid recommendation coverage and a 50.0% top-three rate on ChatGPT, demonstrating that the brand can win prominent placement when the evidence layer supports it. The task is to replicate that outcome across Perplexity, Gemini, and the Google surfaces, where presence is not converting into recommendation placement.

This points to a citation and source footprint problem rather than a brand perception problem. ESET's positive framing is consistent, but the public evidence layer appears to support mention-level visibility on some platforms without supporting top-tier recommendation status. Strengthening the sources that AI systems draw from when forming ranked recommendations would directly address the conversion gap.

Competitive Landscape

Questions This Section Answers

  • Where does ESET rank against competitors on top-three and rank-one recommendation rates?
  • How does ESET's average recommended rank compare with Bitdefender GravityZone's?

Norton holds the strongest recommendation-stage position in the category, with Bitdefender GravityZone and Malwarebytes also showing meaningful placement strength. ESET sits in the middle tier, with solid coverage but weaker top-three and rank-one conversion than several competitors.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Norton

45.43%

7.60%

2.18

0.8284

Bitdefender GravityZone

41.40%

33.49%

1.38

0.8984

Malwarebytes

20.93%

4.50%

3.50

0.8860

ESET

14.88%

1.55%

3.90

0.8992

Avast

14.11%

2.95%

4.10

0.7627

AVG

8.99%

0.62%

4.38

0.7765

Kaspersky

8.06%

0.00%

3.74

0.7269

McAfee

6.51%

0.31%

4.12

0.6364

Trend Micro

1.86%

0.00%

5.38

0.7891

Webroot

0.78%

0.47%

5.82

0.7113

Average recommended rank covers rank-eligible recommendations only.

The table shows ESET ranked fifth by top-three rate despite holding fourth place in overall coverage. ESET's average recommended rank of 3.90 indicates that when the brand is recommended, it tends to appear lower in the list. Bitdefender GravityZone, by contrast, achieves an average recommended rank of 1.38, meaning it is typically named first or second when recommended.

Prompt Evidence

Questions This Section Answers

  • On which prompt did ESET achieve its strongest recommendation performance?
  • Which prompt showed ESET being mentioned without being recommended as a leading choice?

ChatGPT / Best Antivirus Software Discovery & Evaluation Prompt: "Which antivirus software is best?" Result: ESET achieved its strongest platform performance here, with 75.81% valid recommendation coverage and a 50.0% top-three rate, indicating frequent prominent placement.

Perplexity / Best Antivirus Software Discovery & Evaluation Prompt: "What is the #1 antivirus?" Result: ESET appeared in 40.28% of Perplexity observations but achieved only a 1.39% top-three rate, showing presence without recommendation conversion.

Google AI Mode / Best Antivirus Software Discovery & Evaluation Prompt: "What are the most popular antivirus programs?" Result: ESET achieved 55.0% valid recommendation coverage but only a 14.44% top-three rate, indicating the brand is named as an option without being positioned as a leading choice.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map which high-intent prompts and platform combinations produce ESET mentions without top-tier recommendation placement, with particular focus on Perplexity and Gemini.

Phase 2: Recommendation Readiness Plan Identify the specific attributes and comparison criteria that lead AI systems to position ESET as a secondary rather than primary recommendation.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers the highest-intent antivirus selection prompts, giving AI systems clearer material to cite when forming ranked recommendations.

Phase 4: Citation / Authority Layer Development Strengthen the external source footprint that supports ESET's recommendation eligibility, focusing on the evidence sources most likely to influence top-three placement.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track ESET's presence, valid recommendation coverage, top-three rate, and rank-one rate monthly to measure whether the conversion gap is closing.

Why This Matters

AI systems are increasingly acting as the first filter in antivirus software selection. When a buyer asks which antivirus to choose, the brands named first and most prominently shape the shortlist before the buyer ever visits a vendor website. ESET's strong presence and positive framing mean the brand is part of the conversation, but its weaker placement means it is often an also-ran rather than a leading choice.

Presence alone is not enough. The benchmark shows that brands with lower overall visibility can win more prominent placement, and that placement, not mere mention, is what positions a brand as the answer. For ESET, the next move is targeted correction of the prompt, page, and citation layers that determine whether the brand is named as an option or recommended as the choice.

Core Metrics

Metric

Value

Mentions

397

Valid recommendations

331

Top 3 recommendation count

96

Rank #1 recommendation count

10

Average recommended rank

3.90

Positive mentions

357

Neutral mentions

40

Negative mentions

0

Raw mention presence rate

61.55%

Valid recommendation coverage

51.32%

Top 3 recommendation rate

14.88%

Rank #1 recommendation rate

1.55%

Net sentiment score

0.8992

Strongest cluster by recommendation behavior

Best Antivirus Software Discovery & Evaluation

Strongest platform by recommendation behavior

ChatGPT

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For ESET, this calculation is (357 × 1 + 40 × 0 + 0 × -1) / 397, producing a net sentiment score of 0.8992.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers while being framed negatively or as a cautionary example. ESET's score of 0.8992 with zero negative mentions indicates the brand is framed favorably whenever it appears.

Share of voice is a diagnostic metric, not a business KPI. Knowing that ESET appears in 61.55% of observations is useful context, but it does not reveal whether those appearances position the brand as a recommended choice or a passing reference.

A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. ESET's strong sentiment profile means the brand is not fighting negative framing, but it is still losing on placement.

Counting all mentions as wins is bad measurement. ESET's presence rate of 61.55% looks strong until measured against its top-three rate of 14.88%. Classified sentiment is required before interpreting AI visibility, and the same discipline applies to separating mentions from recommendations.

Sentiment by Platform

Questions This Section Answers

  • On which platforms does ESET receive the strongest positive framing?
  • Where does ESET's sentiment score drop despite the brand still being mentioned?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

56

52

4

0

0.9286

Strongest public recommendation signal

Copilot

63

56

7

0

0.8889

Present as context, not recommendation

Gemini

36

32

4

0

0.8889

Present, but not recommendation-led

Perplexity

29

17

12

0

0.5862

Present as context, not recommendation

Google AI Mode

112

104

8

0

0.9286

Strong positive framing

Google AI Overviews

101

96

5

0

0.9505

Strongest positive framing

Methodology

  1. This report is a benchmark-based analysis of ESET's visibility and recommendation patterns in AI-generated antivirus software answers, derived from the LLM Authority Index AI Visibility Market Discovery Index and CiteWorks Studio interpretation of that public data. It is not a client implementation case study.
  2. The reporting window is September 2026, with comparative context drawn from July 2026 and August 2026 benchmark data.
  3. Six canonical AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark began with 800 prompt-surface observations in September 2026, of which 615 were unique questions and 800 mentioned a tracked brand or competitor.
  5. Of the 800 observations, 788 were relevant and 12 were irrelevant. The public benchmark denominator is 645 qualified observations after both qualification stages.
  6. The competitor universe includes 10 tracked brands: Norton, Malwarebytes, Avast, ESET, Bitdefender GravityZone, AVG, McAfee, Kaspersky, Trend Micro, and Webroot.
  7. All 645 qualified observations in September 2026 fell into the Best Antivirus Software Discovery & Evaluation cluster. The public series does not yet contain qualified observations in pricing and value or multi-brand comparison classes.
  8. A mention is defined as any qualified observation where the brand appears in the AI response, regardless of recommendation context.
  9. A valid recommendation is defined as a qualified observation where the brand appears in a recommendation context, as distinct from a neutral reference or cautionary mention.
  10. Brand-level percentages use the 645 qualified observations as the denominator, not the 800 raw prompt total.
  11. Movement between months identifies changes worth investigating but does not by itself establish the cause of those changes. Source presence is evidence about the information environment, not automatic proof that a source caused a recommendation.
  12. Limitations: the public benchmark measures brand recommendation discovery only and does not yet capture pricing and value or multi-brand comparison prompts. Small-count brands show movement from low bases, and absolute counts should be read alongside percentages.

See How AI Is Recommending Your Brand

The public benchmark shows where ESET is winning and losing in AI-generated recommendations. A company-level AI visibility audit goes deeper, mapping the specific prompts, platforms, competitors, and evidence sources that determine whether ESET is named as an option or recommended as the answer.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

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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