SIEM Software: AI Market Discovery Index

Benchmark Summary

Splunk leads the SIEM Software benchmark with valid recommendation coverage of 42.0% in August 2026, up from 35.8% in July 2026. The gap to the next brand narrowed. Microsoft Sentinel, new to the tracked set in August 2026, reached 35.6% valid recommendation coverage, close behind the leader.

The largest coverage increase came from Microsoft Sentinel, which entered the benchmark with 35.6% valid recommendation coverage in August 2026 after not being tracked in July 2026. Microsoft SharePoint recorded the largest coverage decline, falling to a 0.0% valid recommendation coverage in August 2026, down from 2.0% in July 2026, and it is no longer reported in the current brand set.

Over the two comparable months, Splunk moved from 35.8% to 42.0%, Securonix held steady from 9.9% to 10.1%, and Exabeam moved from 11.3% to 7.5% in valid recommendation coverage. This was a mixed month, with one significant riser, one significant decliner, and eight brands within normal month-to-month variation.

The benchmark began with 787 prompt-surface observations in July 2026 and 800 in August 2026, producing 355 and 424 qualified observations respectively after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI/search surface families that produced at least one qualified observation. The six families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

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

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. Brand-level percentages use the qualified observations as the public denominator, not the raw collection.

For methodology details, see AI Market Discovery Methodology.

Current Brand Standings

The table below is the primary current-month benchmark view, sorted by valid recommendation coverage.

How to Read the Standings

Presence rate is the share of qualified observations in which the brand is mentioned at all. Valid recommendation coverage is the share of qualified observations in which the brand receives a clear, actionable recommendation. Top-three rate is the share of qualified observations in which the brand appears among the top three recommended options. Rank-one rate is the share of qualified observations in which the brand is the single first recommendation. Net sentiment reflects the balance of positive versus negative mentions, from -1 to +1.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Largest Increase: Microsoft Sentinel

Microsoft Sentinel entered the tracked set in August 2026 with valid recommendation coverage of 35.6%, and a presence rate of 77.1%. It was reached in 151 of 424 qualified observations. This entry moved it into second position in the standings, behind only Splunk. Its rank-one rate of 12.7% was the highest of any tracked brand in August 2026.

Largest Decline: Microsoft SharePoint

Microsoft SharePoint's valid recommendation coverage fell to 0.0% in August 2026, down from 2.0% in July 2026, and the brand is no longer present in the current month's tracked set. In July 2026 it appeared in 7 of 355 qualified observations. The move was beyond normal month-to-month variation for its sample, though absolute counts were small.

Category Leader: Splunk

Splunk remained the coverage leader in August 2026 at 42.0%, up from 35.8% in July 2026, though this movement stayed within normal month-to-month variation. Its presence rate rose to 92.9% from 90.4%. Its top-three rate declined to 25.5% from 30.7% and its rank-one rate declined to 9.9% from 13.5%, even as overall coverage rose.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Among the leading brands, placement patterns differed meaningfully in August 2026.

Close coverage figures can still hide different first-position rates. Microsoft Sentinel reached a slightly lower top-three rate than Splunk but a higher rank-one rate, while both brands led the field on placement.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class, representing discovery and consideration intent.

The current public series measures brand recommendation discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

Evidence and Source Layer

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.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private and sponsored channels. A metric movement alone does not establish causality.

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how AI and search surfaces present and recommend brands within a vertical, using standardized prompt collections across canonical AI surfaces each month. All metrics follow documented definitions and research standards.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

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