Secureworks Taegis AI Visibility Market Strategy Report - Managed Detection and Response

Answer Capsule

Secureworks Taegis is visible in AI-generated recommendations for managed detection and response, but its recommendation power remains far below the category leaders. In October 2026, the brand earned 4.9% valid recommendation coverage across 447 qualified observations, up 3.4 points from 1.5% in July 2026, a gain the LLM Authority Index flagged as beyond normal variation. The clearest win is that rise on a small base, with presence rate up 4.0 points to 6.5%. The clearest weakness is scale: 22 valid recommendations against CrowdStrike Falcon's 325. The clearest opportunity is converting newly surfaced mentions into shortlist placements inside the Brand Recommendation cluster.

Who This Report Is For

This report is for Secureworks Taegis marketing, product marketing, and demand generation leaders who need to understand how AI systems recommend managed detection and response providers, and where the brand is being surfaced but not selected.

Report Card

Executive Summary

Secureworks Taegis is present in AI-generated recommendations for managed detection and response, but it is not yet a shortlist brand at category scale. The LLM Authority Index recorded 4.9% valid recommendation coverage in October 2026, up 3.4 points from 1.5% in July 2026, a move the benchmark classified as beyond normal variation. Raw mention presence rose 4.0 points to 6.5% over the same period, also beyond normal variation. The brand was mentioned 29 times across 447 qualified observations and earned 22 valid recommendations.

The strongest cluster is C01, Best MDR Services, Discovery and Evaluation, the only cluster with sufficient observation coverage in the public benchmark. All qualified observations in the July-to-October series fell into the Brand Recommendation buyer-intent class, so the public data measures discovery and consideration behavior only. Pricing and head-to-head comparison clusters carried no qualified observations in either month.

The strongest platform signal is Google AI Overviews, where Secureworks Taegis earned 5 valid recommendations and a 4.9% valid recommendation coverage rate, the highest single-platform reading for the brand. ChatGPT followed with 3 valid recommendations and a 4.8% coverage rate. Copilot produced 5 valid recommendations at 6.8% coverage on a smaller observation base. Perplexity produced 1 valid recommendation at 4.2% coverage. Gemini produced 3 valid recommendations at 4.5% coverage. Google AI Mode produced 5 valid recommendations at 4.3% coverage.

The clearest gap is scale and placement depth. Secureworks Taegis earned a 1.8% top-three rate and a 0.7% rank-one rate in October 2026, against CrowdStrike Falcon's 67.8% and 50.3%. The brand's average recommended rank was 4.0, meaning that when it does earn a valid recommendation, it typically sits outside the first three positions. SentinelOne, by contrast, earned a 2.5% rank-one rate on 62.4% coverage, showing that even high-coverage brands can struggle at the first position.

Sentiment is not the problem. Secureworks Taegis recorded a net sentiment score of 0.8621, the second-highest among tracked brands behind Sophos Intercept X at 0.9057. Of 29 mentions, 25 were positive, 4 were neutral, and none were negative. The brand is framed favorably when it appears. It simply does not appear often enough, and when it does, it rarely lands in the top three.

The benchmark's own diagnostic question for the brand is the right one: which prompts and surfaces newly include Secureworks Taegis, and whether those answers place it inside a shortlist. The October data shows the brand crossing from near-invisibility into occasional recommendation. The next step is converting that presence into consistent shortlist placement.

What Secureworks Taegis Is Winning

Questions This Section Answers

• How much did Secureworks Taegis's valid recommendation coverage grow between July and October 2026?
• Is the brand's recommendation gain supported by broader retrieval, or did it come from within a fixed set of appearances?
• How does Secureworks Taegis's sentiment compare with the other tracked MDR brands?

The brand's clearest win is the October coverage gain itself. Valid recommendation coverage rose 3.4 points from 1.5% in July 2026 to 4.9% in October 2026, beyond normal variation. The month-over-month move from 1.7% in September to 4.9% in October was 3.2 points, also beyond normal variation. In absolute terms, the brand moved from 5 valid recommendations in July to 22 in October across a qualified base that grew from 326 to 447 observations.

Raw mention presence rose 4.0 points from 2.5% to 6.5%, beyond normal variation. This is the signal that the brand is being retrieved and surfaced more often by AI systems, not just recommended more often within a fixed set of appearances.

Sentiment is a second win. The net sentiment score of 0.8621 places Secureworks Taegis second among the ten tracked brands, behind only Sophos Intercept X. With 25 positive mentions, 4 neutral, and zero negative, the brand carries no framing penalty. When AI systems discuss Secureworks Taegis, they do so favorably.

A third win is platform breadth. The brand earned at least one valid recommendation on all six tracked platforms: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Few brands in the tracked set achieved that spread. This means the brand is not dependent on a single surface for its recommendation signal.

These wins are real but narrow. The brand remains a small-count presence in a category where the leader holds 72.7% coverage. The gains should be read as movement from near-absence into early visibility, not as established recommendation strength.

Where Secureworks Taegis Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How large is the valid recommendation gap between Secureworks Taegis and CrowdStrike Falcon?
• Where does Secureworks Taegis typically land when it does earn a valid recommendation?
• What limits what the public benchmark can say about Secureworks Taegis on pricing and head-to-head comparisons?

The clearest gap is recommendation scale. Secureworks Taegis earned 22 valid recommendations in October 2026. CrowdStrike Falcon earned 325. SentinelOne earned 279. Sophos Intercept X earned 176. The brand sits ninth of ten tracked brands by valid recommendation coverage, ahead of only Deepwatch at 0.9%.

The second gap is placement depth. Secureworks Taegis earned a 1.8% top-three rate and a 0.7% rank-one rate. Its average recommended rank was 4.0, meaning that when the brand does earn a valid recommendation, it typically lands in the fourth position or lower. CrowdStrike Falcon's average recommended rank was 1.5. Arctic Wolf's was 2.1. Even brands with lower coverage than Secureworks Taegis, such as Arctic Wolf at 19.9% coverage, achieved stronger placement profiles, with Arctic Wolf earning an 8.5% rank-one rate.

The third gap is presence-to-recommendation conversion. Secureworks Taegis was mentioned in 29 of 447 qualified observations, a 6.5% presence rate. It earned valid recommendations in 22 of those, a 4.9% coverage rate. The conversion ratio is reasonable, but the underlying presence base is thin. The brand is not being retrieved often enough for AI systems to consider it in most recommendation-shaped answers.

The fourth gap is cluster coverage. The public benchmark contains qualified observations only in the Brand Recommendation cluster. Pricing and Value and Multi-Brand Comparison clusters carried zero qualified observations in both July and October 2026. This means the benchmark cannot yet show how Secureworks Taegis fares on cost questions or in direct head-to-head comparisons. The October qualified set did include 5 pricing analysis responses and 17 comparison analysis responses by response type, yet the buyer-intent classification placed all observations in the brand recommendation cluster. This is a taxonomy boundary, not a brand-specific gap, but it limits what the public data can say about the brand's competitive position at the decision stage.

The fifth gap is the distance to the leader. CrowdStrike Falcon's gap over Secureworks Taegis stood at 67.8 points in October 2026. The benchmark also noted that Arctic Wolf's gap to CrowdStrike Falcon widened 12.3 points from July to October. The category is not converging. The leaders are extending.

Biggest Opportunity

Questions This Section Answers

• What is the single biggest opportunity for Secureworks Taegis in AI-generated MDR recommendations?
• How far is the brand's average recommended rank from a consistent top-three shortlist placement?

The single biggest opportunity for Secureworks Taegis is converting newly surfaced mentions into top-three shortlist placements inside the Brand Recommendation cluster. The brand crossed from near-invisibility in July to 22 valid recommendations in October. That movement shows AI systems are beginning to retrieve and consider the brand. The next step is ensuring that when the brand appears, it appears inside the shortlist rather than as a fourth-position or lower reference.

This opportunity is specific and measurable. The brand's average recommended rank of 4.0 means the gap between its current position and a top-three placement is roughly one position. Moving from an average rank of 4.0 to an average rank of 3.0 would shift the brand from occasional mention to consistent shortlist presence. The benchmark's own diagnostic question for the brand points at the same target: which prompts and surfaces newly include Secureworks Taegis, and whether those answers place it inside a shortlist.

The work is not about generating more mentions. It is about improving the quality of the evidence layer that AI systems retrieve when forming recommendation-shaped answers. That means strengthening the pages, sources, and citations that AI systems draw on when they construct a shortlist of managed detection and response providers.

Competitive Landscape

Questions This Section Answers

• How do top-three and rank-one rates separate CrowdStrike Falcon and SentinelOne from Secureworks Taegis?
• If Secureworks Taegis's sentiment is among the highest, why does it rank so low on placement?

CrowdStrike Falcon and SentinelOne hold recommendation-stage strength in managed detection and response, with CrowdStrike Falcon leading on both top-three and rank-one placement. Secureworks Taegis sits in the lower tier of the tracked set, with coverage and placement rates well below the category leaders.

Average recommended rank covers rank-eligible recommendations only.

Secureworks Taegis ranks eighth of ten by top-three rate and seventh by rank-one rate. Its sentiment score of 0.8621 is the second-highest in the set, showing that the brand is framed favorably when it appears. The gap is not framing quality. It is frequency and placement. The brand earns fewer recommendations than most tracked competitors and, when it does earn them, typically lands outside the top three.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "managed detection and response providers" Result: Secureworks Taegis earned a valid recommendation at an average rank of 2.8 on this platform, one of its strongest single-platform placements.

ChatGPT / Brand Recommendation Prompt: "cyber security companies" Result: Secureworks Taegis was mentioned but did not earn a top-three placement, consistent with its 0.0% rank-one rate on ChatGPT.

Perplexity / Brand Recommendation Prompt: "mdr providers" Result: Secureworks Taegis earned one valid recommendation at rank 3, its only Perplexity recommendation in the October set.

Google AI Mode / Brand Recommendation Prompt: "managed detection and response solution" Result: Secureworks Taegis was mentioned in 6 of 117 observations on this platform, earning 5 valid recommendations but no top-three placements.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt, surface, and competitor answer where Secureworks Taegis appears, and identify the specific prompts where the brand is mentioned but not shortlisted.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where the brand's average recommended rank of 4.0 can be moved into the top three with targeted evidence and content work.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and assets that AI systems retrieve when forming managed detection and response shortlists, focusing on the comparison and evaluation language that drives top-three placement.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems cite when recommending managed detection and response providers, including analyst references, review platforms, and industry publications.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track valid recommendation coverage, top-three rate, and rank-one rate month over month to confirm that placement improvements hold across platforms and clusters.

Why This Matters

Questions This Section Answers

• Why are 29 mentions insufficient if Secureworks Taegis is not landing inside the top three?
• What needs to change for Secureworks Taegis to move from the edge of AI answers into the shortlist?

AI presence alone is not enough. Secureworks Taegis is mentioned in AI-generated answers, and its sentiment score is among the highest in the category. But mentions do not win shortlists. The brand earned 22 valid recommendations in October 2026 against CrowdStrike Falcon's 325. Buyers asking AI systems for managed detection and response recommendations are seeing a shortlist that rarely includes Secureworks Taegis in the top three.

The next move is targeted correction of the prompt, page, and citation layers. The October data shows the brand is being retrieved more often. The work now is to ensure that when AI systems retrieve Secureworks Taegis, they place it inside the shortlist rather than at the edge of the answer. That requires strengthening the evidence layer that AI systems draw on, not simply generating more mentions.

Core Metrics

Sentiment Score

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

For Secureworks Taegis in October 2026: (25 x 1 + 4 x 0 + 0 x -1) / 29 = 0.8621.

This matters because unclassified mention counts are misleading. A brand with 29 mentions sounds visible. But if those mentions are neutral references, cautionary notes, or comparison anchors, they do not represent recommendation strength. Secureworks Taegis's 29 mentions break down into 25 positive, 4 neutral, and zero negative. The brand carries no framing penalty.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility. Secureworks Taegis's high sentiment score tells us that when the brand appears, it is framed well. It does not tell us that the brand appears often enough to compete for shortlist placement.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Secureworks Taegis's AI recommendation visibility in the managed detection and response category for October 2026. It is not a client result and does not imply that any party caused the benchmark outcomes.
2. The reporting window is October 2026, with comparison points from July 2026, August 2026, and September 2026 where the LLM Authority Index series provides them.
3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six reached qualified observation coverage in October 2026.
4. The October 2026 benchmark began with 800 prompt-surface observations across the tracked surfaces. After deduplication, 615 unique questions were identified. All 800 observations mentioned at least one tracked brand. Of those, 551 were relevant to the vertical and 249 were irrelevant. The public benchmark used 447 qualified observations after both qualification stages.
5. Ten brands were tracked in the managed detection and response category: Arctic Wolf, CrowdStrike Falcon, Deepwatch, eSentire, Expel, Rapid7 InsightIDR, Red Canary, Secureworks Taegis, SentinelOne, and Sophos Intercept X.
6. The public benchmark contains qualified observations in one buyer-intent cluster: Brand Recommendation, which captures discovery and consideration intent. Pricing and Value and Multi-Brand Comparison clusters carried zero qualified observations in the July-to-October series.
7. The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.
8. A mention is counted when a tracked brand appears in an AI response to a qualified observation, regardless of whether the brand is recommended. Raw mention presence rate is the share of qualified observations in which the brand is mentioned at all.
9. A valid recommendation is counted when the dataset explicitly marks the brand as recommended, with rank credit assigned for positions 1 through 10. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset marks them as such.
10. Average recommended rank covers rank-eligible recommendations only. A brand with no rank-eligible recommendations receives no average rank value.
11. The qualified observation count moved from 326 in July 2026 to 447 in October 2026, with a series high of 467 in September 2026. Percentages are calculated within the qualified set, so month-over-month comparison reflects both brand movement and composition changes in the underlying prompts.
12. Small-count brands including Secureworks Taegis, Deepwatch, and eSentire should be interpreted with care given the low number of valid recommendations behind their percentages. Secureworks Taegis moved from 5 valid recommendations in July 2026 to 22 in October 2026, a real change at a scale where individual observations carry visible weight. Month-over-month movement identifies changes worth investigating. It does not by itself establish the cause of those changes.

See How AI Is Recommending Your Brand

The public benchmark shows where Secureworks Taegis is winning and losing in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, ranking patterns, sentiment, and evidence sources behind those movements into a prioritized strategy. It answers which high-intent prompts the brand wins, which competitor takes the recommendation when the brand loses, and which external sources shape those answers.