Webroot AI Visibility Market Strategy Report - Antivirus Software

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Webroot had the lowest valid recommendation coverage in the benchmark at 10.23%, despite appearing in 15.04% of qualified observations.
  • When Webroot is mentioned, sentiment is mostly positive, with a net sentiment score of 0.7113 and only one negative mention across 97 total mentions.
  • Copilot and Google AI Mode show the clearest conversion gap, where Webroot is surfaced but rarely earns top-three recommendation placement.
  • Perplexity showed no public presence for Webroot in the September 2026 dataset, making it the brand’s largest platform-level visibility gap.

Answer Capsule

Webroot holds minimal recommendation-stage visibility in AI-generated antivirus software recommendations, with valid recommendation coverage of 10.23% in September 2026, the lowest among all ten tracked brands. The brand appears in only 15.04% of qualified observations, and its top-three rate sits at 0.78%, meaning AI systems rarely position Webroot as a leading choice. Webroot's clearest strength is a positive net sentiment score of 0.7113 when the brand is mentioned, suggesting the issue is visibility and recommendation conversion rather than framing quality. The clearest opportunity lies in converting its existing positive mentions into valid recommendations across platforms where it already has some presence, particularly Google AI Mode and Copilot.

Who This Report Is For

This report is for Webroot's marketing, brand strategy, and demand generation leadership evaluating how AI-driven discovery is shaping antivirus software recommendations and where the brand currently stands in AI-generated buyer shortlists.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Webroot

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

Webroot's AI visibility profile in the antivirus software category is defined by a wide gap between raw mention presence and recommendation conversion. The benchmark shows Webroot present in 15.04% of qualified observations but recommended in only 10.23%, with a top-three rate of just 0.78% and a rank-one rate of 0.47%. Across 645 qualified observations in September 2026, Webroot received 97 total mentions, of which 70 were positive, 26 were neutral, and 1 was negative. The brand's net sentiment score of 0.7113 indicates that when AI systems do mention Webroot, the framing is generally favorable.

The strongest cluster for Webroot is Best Antivirus Software Discovery & Evaluation, which accounts for all qualified observations in the current public series. The weakest area is recommendation placement: Webroot's average recommended rank of 5.82 means that even when the brand earns a valid recommendation, it appears well outside the top-three positions that shape buyer consideration. The strongest platform signal is Google AI Mode, where Webroot achieves its highest valid recommendation coverage at 13.33%, followed by Copilot at 28.74% presence but only 0.00% top-three rate.

The clearest platform gap is Perplexity, where Webroot has no public presence at all in the September 2026 dataset. Across the tracked surface families, Webroot's recommendation profile is consistently narrow, with the brand appearing as a secondary or tertiary option rather than a primary recommendation. The evidence suggests Webroot is present in AI answers but rarely selected, a pattern that points to a source footprint and citation architecture problem rather than a brand perception problem.

What Webroot Is Winning

Questions This Section Answers

  • Where does Webroot's strongest defensible position in AI-generated antivirus recommendations come from?
  • Which platform shows the clearest pocket of valid recommendation coverage for Webroot?

Webroot's most defensible position in the September 2026 benchmark is its sentiment profile. With 70 positive mentions, 26 neutral mentions, and only 1 negative mention across 97 total mentions, Webroot achieves a net sentiment score of 0.7113. This is the strongest evidence that when AI systems reference Webroot, the framing is constructive and free of cautionary language.

The brand also shows a narrow but meaningful recommendation pocket in Google AI Mode. Webroot achieves 13.33% valid recommendation coverage in AI Mode, its highest platform-level coverage, with a rank-one rate of 1.67%. This suggests that in certain AI Mode answer contexts, Webroot is being positioned as a valid option, even if not a leading one.

Webroot's near-total absence of negative framing is another positive signal. Only 1 negative mention was recorded across all platforms in September 2026, and the brand recorded zero negative mentions on ChatGPT, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. This clean framing profile is an asset that Webroot can build on.

Where Webroot Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How large is the gap between Webroot's mention presence and its valid recommendation coverage?
  • Which platforms show Webroot being surfaced without recommendation conversion, and where is the brand entirely absent?

Webroot's most significant gap is the conversion of mention presence into valid recommendation coverage. The brand appears in 97 qualified observations but earns valid recommendation credit in only 66, a conversion gap of 31 mentions where Webroot is surfaced without being recommended. This pattern is most visible on Copilot, where Webroot achieves 40.23% presence but only 0.00% top-three rate and 0.00% rank-one rate.

The Perplexity gap is absolute: Webroot has zero mentions, zero valid recommendations, and zero presence across all 72 Perplexity observations in the September 2026 dataset. Every tracked competitor except Webroot has at least some presence on Perplexity, making this the clearest platform-level absence in the competitive set.

Webroot's average recommended rank of 5.82 is the weakest among all ten tracked brands, indicating that even when the brand earns recommendation credit, it appears deep in the answer list. Norton, by comparison, holds an average recommended rank of 2.18, and Bitdefender GravityZone holds 1.38. The competitive displacement is stark: Norton appears in 78.60% of observations and is recommended in 62.33%, while Webroot appears in 15.04% and is recommended in 10.23%.

Biggest Opportunity

Questions This Section Answers

  • What is the highest-leverage move for converting Webroot's positive mentions into top-three recommendation placement?

Webroot's clearest path from reference to recommendation lies in converting its positive mention base into top-three placement on Google AI Mode and Copilot. The brand already achieves its strongest platform coverage on Google AI Mode at 13.33%, and its Copilot presence of 40.23% shows that AI systems are willing to surface Webroot in answer contexts. The gap is that these mentions rarely translate into recommendation placement: Webroot's Copilot top-three rate is 0.00%, and its AI Mode top-three rate is 2.78%. Building the citation and evidence layer that supports recommendation-stage visibility on these two platforms is the highest-leverage move available to Webroot in the current benchmark.

Competitive Landscape

Questions This Section Answers

  • Where does Webroot rank among the ten tracked antivirus brands on recommendation-stage metrics?
  • Which brands hold the strongest top-three and rank-one positions in the September 2026 benchmark?

Norton, Malwarebytes, and Bitdefender GravityZone hold the strongest recommendation-stage positions in the antivirus software category, with Norton leading at 62.33% valid recommendation coverage. Webroot sits at the bottom of the tracked competitive set, with the lowest coverage, presence, and top-three rates among all ten brands.

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 Webroot in last position on top-three rate and average recommended rank, with a rank-one rate that is marginally better than several competitors but built on a very small count of 3 rank-one observations. Webroot's sentiment score of 0.7113 is competitive with mid-tier brands, but the brand's placement metrics place it firmly at the bottom of the tracked set.

Prompt Evidence

Google AI Mode / Best Antivirus Software Discovery & Evaluation Prompt: "Which antivirus software is best?" Result: Webroot appears in a minority of answers with a valid recommendation but is rarely placed in the top three positions.

Copilot / Best Antivirus Software Discovery & Evaluation Prompt: "What is the #1 antivirus?" Result: Webroot is mentioned in 40.23% of Copilot observations but receives zero top-three placements, indicating presence without recommendation conversion.

Google AI Overviews / Best Antivirus Software Discovery & Evaluation Prompt: "What are the most popular antivirus programs?" Result: Webroot appears in 9.66% of observations with a 0.00% top-three rate and an average recommended rank of 7.77, placing it deep in answer lists.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompt patterns and surface families where Webroot is mentioned but not recommended, with priority on Copilot and Google AI Mode.

Phase 2: Recommendation Readiness Plan Identify the owned content and product pages that AI systems currently retrieve for Webroot and assess why they support mention but not recommendation.

Phase 3: Owned Answer Layer Buildout Develop comparison-ready, evaluation-stage content that positions Webroot as a valid top-three choice for specific antivirus use cases.

Phase 4: Citation / Authority Layer Development Strengthen the external source footprint that AI systems cite when forming antivirus recommendations, focusing on the evidence layer that supports recommendation-stage visibility.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Webroot's movement from mention presence to valid recommendation coverage and top-three placement across the six tracked surface families.

Why This Matters

AI-generated antivirus recommendations are increasingly the first filter buyers encounter when evaluating security software. Webroot's current position in that filter is marginal: the brand is mentioned in a small share of answers and recommended in an even smaller share, with almost no top-three presence. Presence alone is not enough when AI systems are shaping buyer shortlists at the decision moment.

The next move for Webroot is targeted correction of the prompt, page, and citation layers that determine whether the brand appears as a recommended option or only as a passing reference. The sentiment data shows that when Webroot is mentioned, the framing is positive. The task is to convert that favorable framing into recommendation placement.

Core Metrics

Metric

Value

Mentions

97

Valid recommendations

66

Top 3 recommendation count

5

Rank #1 recommendation count

3

Average recommended rank

5.82

Positive mentions

70

Neutral mentions

26

Negative mentions

1

Raw mention presence rate

15.04%

Valid recommendation coverage

10.23%

Top 3 recommendation rate

0.78%

Rank #1 recommendation rate

0.47%

Net sentiment score

0.7113

Strongest cluster by recommendation behavior

Best Antivirus Software Discovery & Evaluation

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

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

For Webroot in September 2026, this calculation is (70 x 1 + 26 x 0 + 1 x -1) / 97, producing a net sentiment score of 0.7113.

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, and that is not the same as being recommended. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates the question of how often a brand appears from the question of how it is framed when it does appear.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

1

1

0

0

1.00

Positive, but sample too small

Copilot

35

25

9

1

0.6857

Present as context, not recommendation

Gemini

1

1

0

0

1.00

Positive, but sample too small

Perplexity

0

0

0

0

N/A

No public presence in this packet

Google AI Mode

43

27

16

0

0.6279

Present, but not recommendation-led

Google AI Overviews

17

16

1

0

0.9412

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Webroot's AI visibility and recommendation positioning in the antivirus software category, 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 trend context drawn from July and August 2026 where available.
  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. After removing 12 irrelevant observations and applying qualification rules, 645 qualified observations formed the public benchmark denominator.
  6. The competitor universe includes 10 tracked brands: Avast, AVG, Bitdefender GravityZone, ESET, Kaspersky, Malwarebytes, McAfee, Norton, 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. Stage 0 extraction captured prompt-level observations including query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  9. A mention is defined as any qualified observation where the brand appears in an AI response, regardless of framing or recommendation status.
  10. A valid recommendation is defined as a qualified observation where the brand appears in a recommendation context, distinct from a neutral reference or cautionary mention.
  11. Brand-level percentages use the 645 qualified observations as the denominator, not the 800 raw prompt total.
  12. Limitations: movement between months identifies changes worth investigating but does not establish cause. Small-count brands such as Webroot show movement from low bases, and absolute counts should be read alongside percentages. The benchmark describes the output distribution AI systems produced in the reporting month and cannot on its own distinguish platform behavior from measurement effects.

See How AI Is Recommending Your Brand

The public benchmark shows where Webroot is winning and losing in AI-generated antivirus recommendations. A company-level AI visibility audit can map the specific prompts, platforms, competitors, and evidence sources that determine whether Webroot appears as a recommended option or only as a passing reference, and turn that analysis into a prioritized visibility strategy.

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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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