Endpoint Detection and Response Software AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Endpoint Detection and Response Software benchmark compares 10 companies across 470 AI answers that met its inclusion rules. CrowdStrike Falcon leads with 344 recommendations (73.19% of answers). At least one tracked company was recommended in 379 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Endpoint Detection and Response Software

Industry leaderboard

Questions This Section Answers

• How do Endpoint Detection and Response Software rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers recorded an affirmative recommendation, so it measures endorsement volume rather than visibility alone. A company can appear often without being recommended, and the two counts answer different questions. Ties in recommendation count would share a rank; the printed table shows no such tie here.

Placement figures are nested inside recommendations, not separate wins. Reading rank, mention rate and placement rates together gives a fuller picture than the ordering alone, because each column describes a different feature of the recorded answers.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Endpoint Detection and Response Software answer sample recommend any tracked company?

379 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 1664, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every included answer mentioned at least one tracked company, so mention coverage is complete by construction and says nothing about relative standing. Recommendation coverage is narrower: most answers recommended at least one tracked company, and most recommended several.

Because one answer can name multiple companies, company-level totals exceed the number of answers. Overlap is therefore expected, and high coverage should not be read as overall market dominance or as evidence about companies outside this comparison.

Reach and affirmative recommendation

CrowdStrike Falcon ranks 1 by recommendation count. Mentions: 437 (92.98%); recommendations: 344 (73.19%). Top 3 placements: 306 (65.11%); first-place placements: 249 (52.98%).

Wording about the company: 357 positive, 80 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 78.7%. The net framing score was 0.82 (defined in Methodology).

93 mentions had no recorded recommendation. Of recorded recommendations, 88.95% were Top 3 and 72.38% were first-place.

Mention records that a company appeared in an answer; recommendation records an affirmative endorsement. CrowdStrike Falcon leads on recommendation count, but its mentions outnumber its recommendations, so a substantial share of appearances carried no endorsement.

Placement counts are subsets of recommendations rather than additional wins. The gap between mentions and recommendations is a wording distinction in the recorded answers, not a measure of customer preference or conversion.

Recommendation order and placement

Placement describes where a recommended company appeared in an answer's ordering. Top-three and first-place counts are nested within recommendations, so they cannot be added to recommendation totals, and first-place counts are a subset of shortlist placements.

Recommendation-to-mention ratios vary widely across companies, from near-total endorsement to mostly unendorsed appearances. These ratios describe the recorded answers only; they do not represent sales, customer conversion or company quality.

Classified framing in context

Framing classifies the wording used about a company in the selected answers: positive, neutral or negative. No tracked company recorded negative mentions this month, so differences lie mainly in how often wording was positive rather than neutral.

Neutral wording is not a negative signal, and positive wording does not establish why a recommendation occurred. Framing is a property of answer text, not customer sentiment, reputation or product quality.

Company results in detail

CrowdStrike Falcon

Questions This Section Answers

• What do the November 2026 AI answer results show about CrowdStrike Falcon mentions, recommendations and placement?

CrowdStrike Falcon ranks 1 by recommendation count. Mentions: 437 (92.98%); recommendations: 344 (73.19%). Top 3 placements: 306 (65.11%); first-place placements: 249 (52.98%).

Wording about the company: 357 positive, 80 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 78.7%. The net framing score was 0.82 (defined in Methodology).

93 mentions had no recorded recommendation. Of recorded recommendations, 88.95% were Top 3 and 72.38% were first-place.

From October 2026 to November 2026, CrowdStrike Falcon's mention count fell from 448 to 437, while its recommendation count rose from 340 to 344. The recommendation rate was 67.06% and 73.19% respectively.

CrowdStrike Falcon leads on recommendation count and records the highest mention total among tracked companies. Its recommendation-to-mention ratio is high, and most of its recommendations also appear in top-three and first-place positions, giving it unusually strong placement depth.

Its framing is overwhelmingly positive with no negative mentions. Compared with the prior month, mentions fell slightly while recommendations rose, and the recommendation rate increased; the separate samples do not explain why.

SentinelOne

Questions This Section Answers

• What do the November 2026 AI answer results show about SentinelOne mentions, recommendations and placement?

SentinelOne ranks 2 by recommendation count. Mentions: 406 (86.38%); recommendations: 321 (68.30%). Top 3 placements: 258 (54.89%); first-place placements: 14 (2.98%).

Wording about the company: 333 positive, 73 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 79.1%. The net framing score was 0.82 (defined in Methodology).

85 mentions had no recorded recommendation. Of recorded recommendations, 80.37% were Top 3 and 4.36% were first-place.

From October 2026 to November 2026, SentinelOne's mention count rose from 399 to 406, while its recommendation count rose from 306 to 321. The recommendation rate was 60.36% and 68.30% respectively.

SentinelOne ranks second on recommendation count with a high mention total and a recommendation-to-mention ratio close to the leader's. Its recommendations frequently appear in top-three positions, but first-place placements are comparatively rare, so its strength lies in shortlist presence rather than top billing.

Framing is largely positive with no negative mentions. Both mentions and recommendations rose from the prior month, alongside a higher recommendation rate; the changed sample does not establish a cause.

Microsoft Defender for Endpoint

Questions This Section Answers

• What do the November 2026 AI answer results show about Microsoft Defender for Endpoint mentions, recommendations and placement?

Microsoft Defender for Endpoint ranks 3 by recommendation count. Mentions: 354 (75.32%); recommendations: 283 (60.21%). Top 3 placements: 238 (50.64%); first-place placements: 20 (4.26%).

Wording about the company: 293 positive, 61 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 79.9%. The net framing score was 0.83 (defined in Methodology).

71 mentions had no recorded recommendation. Of recorded recommendations, 84.10% were Top 3 and 7.07% were first-place.

From October 2026 to November 2026, Microsoft Defender for Endpoint's mention count fell from 420 to 354, while its recommendation count fell from 314 to 283. The recommendation rate was 61.93% and 60.21% respectively.

Microsoft Defender for Endpoint ranks third on recommendation count, with a recommendation-to-mention ratio slightly above the two companies ahead of it. Most of its recommendations land in top-three positions, while first-place placements are a small subset.

Framing is mostly positive with no negative mentions. Both mentions and recommendations fell from the prior month, and the recommendation rate edged down; the separate monthly samples do not explain the movement.

Bitdefender GravityZone

Questions This Section Answers

• What do the November 2026 AI answer results show about Bitdefender GravityZone mentions, recommendations and placement?

Bitdefender GravityZone ranks 4 by recommendation count. Mentions: 261 (55.53%); recommendations: 237 (50.43%). Top 3 placements: 73 (15.53%); first-place placements: 33 (7.02%).

Wording about the company: 242 positive, 19 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 90.8%. The net framing score was 0.93 (defined in Methodology).

24 mentions had no recorded recommendation. Of recorded recommendations, 30.80% were Top 3 and 13.92% were first-place.

From October 2026 to November 2026, Bitdefender GravityZone's mention count rose from 208 to 261, while its recommendation count rose from 182 to 237. The recommendation rate was 35.90% and 50.43% respectively.

Bitdefender GravityZone ranks fourth on recommendation count and records the highest recommendation-to-mention ratio among tracked companies, meaning most appearances carried an endorsement. Its framing is the most positive in the set, with few neutral mentions.

Placement depth is more modest: a minority of its recommendations reach top-three positions, though first-place placements are relatively frequent within that smaller base. Both mentions and recommendations rose from the prior month.

Sophos Intercept X

Questions This Section Answers

• What do the November 2026 AI answer results show about Sophos Intercept X mentions, recommendations and placement?

Sophos Intercept X ranks 5 by recommendation count. Mentions: 272 (57.87%); recommendations: 224 (47.66%). Top 3 placements: 44 (9.36%); first-place placements: 1 (0.21%).

Wording about the company: 232 positive, 40 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 82.4%. The net framing score was 0.85 (defined in Methodology).

48 mentions had no recorded recommendation. Of recorded recommendations, 19.64% were Top 3 and 0.45% were first-place.

From October 2026 to November 2026, Sophos Intercept X's mention count rose from 218 to 272, while its recommendation count rose from 177 to 224. The recommendation rate was 34.91% and 47.66% respectively.

Sophos Intercept X ranks fifth on recommendation count with a high recommendation-to-mention ratio, indicating that most appearances included an endorsement. Its framing is largely positive with no negative mentions.

Placement depth is limited: only a small share of its recommendations reach top-three positions, and first-place placements are rare. Both mentions and recommendations rose from the prior month, alongside a higher recommendation rate; the samples do not explain why.

Palo Alto Cortex XDR

Questions This Section Answers

• What do the November 2026 AI answer results show about Palo Alto Cortex XDR mentions, recommendations and placement?

Palo Alto Cortex XDR ranks 6 by recommendation count. Mentions: 228 (48.51%); recommendations: 160 (34.04%). Top 3 placements: 34 (7.23%); first-place placements: 10 (2.13%).

Wording about the company: 167 positive, 61 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 70.2%. The net framing score was 0.73 (defined in Methodology).

68 mentions had no recorded recommendation. Of recorded recommendations, 21.25% were Top 3 and 6.25% were first-place.

From October 2026 to November 2026, Palo Alto Cortex XDR's mention count rose from 190 to 228, while its recommendation count rose from 141 to 160. The recommendation rate was 27.81% and 34.04% respectively.

Palo Alto Cortex XDR ranks sixth on recommendation count. Its recommendation-to-mention ratio is lower than the companies above it, so a larger share of its appearances carried no endorsement, and its framing includes a comparatively large neutral portion.

Among its recommendations, a modest share reach top-three positions and a smaller share first place. Both mentions and recommendations rose from the prior month, with a higher recommendation rate; the separate samples do not establish a cause.

Trend Micro

Questions This Section Answers

• What do the November 2026 AI answer results show about Trend Micro mentions, recommendations and placement?

Trend Micro ranks 7 by recommendation count. Mentions: 93 (19.79%); recommendations: 65 (13.83%). Top 3 placements: 5 (1.06%); first-place placements: 1 (0.21%).

Wording about the company: 70 positive, 23 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 69.9%. The net framing score was 0.75 (defined in Methodology).

28 mentions had no recorded recommendation. Of recorded recommendations, 7.69% were Top 3 and 1.54% were first-place.

From October 2026 to November 2026, Trend Micro's mention count rose from 92 to 93, while its recommendation count rose from 63 to 65. The recommendation rate was 12.43% and 13.83% respectively.

Trend Micro ranks seventh on recommendation count, well below the leading group. Its recommendation-to-mention ratio is moderate, and its framing is mostly positive with a notable neutral share and no negative mentions.

Placement depth is thin: few of its recommendations reach top-three positions and first-place placements are rare. Both mentions and recommendations rose slightly from the prior month; the small movement in separate samples does not demonstrate a trend.

VMware Carbon Black

Questions This Section Answers

• What do the November 2026 AI answer results show about VMware Carbon Black mentions, recommendations and placement?

VMware Carbon Black ranks 8 by recommendation count. Mentions: 44 (9.36%); recommendations: 13 (2.77%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 13 positive, 31 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 29.5%. The net framing score was 0.30 (defined in Methodology).

31 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, VMware Carbon Black's mention count rose from 29 to 44, while its recommendation count rose from 12 to 13. The recommendation rate was 2.37% and 2.77% respectively.

VMware Carbon Black ranks eighth on recommendation count. Its recommendation-to-mention ratio is low, so most appearances carried no endorsement, and its framing is predominantly neutral rather than positive, with no negative mentions.

No recorded recommendation placed in the top three or first place. Mentions rose from the prior month while recommendations stayed close to the previous level; the changed sample does not explain the pattern.

Trellix

Questions This Section Answers

• What do the November 2026 AI answer results show about Trellix mentions, recommendations and placement?

Trellix ranks 9 by recommendation count. Mentions: 33 (7.02%); recommendations: 12 (2.55%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 13 positive, 20 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 36.4%. The net framing score was 0.39 (defined in Methodology).

21 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Trellix's mention count fell from 40 to 33, while its recommendation count fell from 13 to 12. The recommendation rate was 2.56% and 2.55% respectively.

Trellix ranks ninth on recommendation count. Its recommendation-to-mention ratio is low, and its framing is more often neutral than positive, with no negative mentions recorded.

No recorded recommendation placed in the top three or first place. Both mentions and recommendations fell slightly from the prior month, and the recommendation rate was essentially flat; the separate samples do not establish why counts moved.

Cybereason

Questions This Section Answers

• What do the November 2026 AI answer results show about Cybereason mentions, recommendations and placement?

Cybereason ranks 10 by recommendation count. Mentions: 12 (2.55%); recommendations: 5 (1.06%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 5 positive, 7 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 41.7%. The net framing score was 0.42 (defined in Methodology).

7 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Cybereason's mention count fell from 18 to 12, while its recommendation count fell from 10 to 5. The recommendation rate was 1.97% and 1.06% respectively.

Cybereason ranks tenth on recommendation count with the smallest mention total among tracked companies. Its recommendation-to-mention ratio is moderate but rests on a sparse base, so it should be read with caution.

Framing is split between positive and neutral mentions, with none negative. No recorded recommendation placed in the top three or first place. Both mentions and recommendations fell from the prior month; the small samples do not explain the movement.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Endpoint Detection and Response Software snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

The monthly snapshots come from separate answer samples, so counts and rates are not directly comparable across periods and rank changes should not be read as stable standing. Only months with verified results appear; the missing August period is a gap, not a zero.

Rates use each month's own answer total as the denominator. A changed count or rate shows how the recorded results differed, not why, and a single prior month cannot establish a first-ever result.

What the November Rankings Show

These sections answer different questions. The leaderboard orders companies by recommendation volume; coverage shows how often tracked companies appeared at all; reach separates mere appearance from affirmative endorsement; placement locates recommendations within an answer's ordering; and framing classifies the wording used.

Because placements nest inside recommendations and recommendations inside mentions, the figures should be read as layers rather than competing scores. High reach without endorsement, or positive framing without placement depth, describes the recorded answers, not customer behavior or company quality.

Methodology

Questions This Section Answers

• How were the November 2026 Endpoint Detection and Response Software AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 10 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

Reliable results for August 2026 are unavailable. This is a gap in the history, not a result of zero.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

Results cover the included benchmark answers only, drawn from several AI services for the US market. The exact collection dates are unverified, and one question category contributed no usable observations, so findings apply to the available answer set rather than the whole market.

Each company is counted at most once per answer, and one answer can name several companies, so company totals overlap. Recommendation requires both affirmative endorsement and positive wording. Rates use the full answer total, and placement counts are subsets of recommendations. Monthly samples differ, so comparisons show recorded change without establishing its cause. Framing and ratios describe answer text, not customers or company quality.