Rapid7 InsightIDR AI Market Strategy Report - SIEM Software

Answer Capsule

Rapid7 InsightIDR holds 12.9% valid recommendation coverage in the September 2026 LLM Authority Index SIEM Software benchmark, ranking fourth of nine tracked brands. The brand is visible but under-recommended: it appears in 18.5% of qualified observations yet converts that presence into a top-three placement only 2.9% of the time. Its clearest strength is framing quality, where it carries the highest net sentiment score in the tracked set at 0.9143. Its clearest weakness is placement depth, with a rank-one rate of 0.3% and an average recommended rank of 4.78. The clearest opportunity sits in converting its strong positive framing into higher shortlist placement within the brand recommendation cluster.

Who This Report Is For

This report is written for SIEM software marketing, product marketing, and demand generation leaders who need to understand how AI systems are recommending their brand at the discovery and consideration stage, and where competitor displacement is occurring.

Report Card

Executive Summary

Rapid7 InsightIDR ranks fourth in the September 2026 SIEM Software benchmark with 12.9% valid recommendation coverage, down 0.6 points from its 13.5% July 2026 baseline. The brand sits in a tightly compressed middle field where five brands fall between 9.0% and 17.4% coverage, and where no second brand reaches 20% behind category leader Splunk at 31.9%.

The brand's raw mention presence rate is 18.5%, meaning it appears in roughly one in five qualified AI responses. Its valid recommendation count of 49 against 70 total mentions indicates that a meaningful share of its appearances convert into actionable recommendations, but its top-three rate of 2.9% and rank-one rate of 0.3% show that those recommendations rarely land near the top of the list. Its average recommended rank of 4.78 places it in the lower half of the tracked set on placement depth.

Sentiment is Rapid7 InsightIDR's strongest signal. Its net sentiment score of 0.9143 is the highest among all nine tracked brands, reflecting 64 positive mentions, 6 neutral mentions, and zero negative mentions. The brand is framed positively when it appears, but that positive framing is not translating into prominent recommendation placement.

The strongest platform signal for Rapid7 InsightIDR is Google AI Overviews, where it holds 30.8% valid recommendation coverage and a 100% positive sentiment rate across 46 mentions. The weakest platform signal is Copilot, where it records zero valid recommendations and zero captured recommendation value despite appearing in 4 observations.

The brand's coverage has declined slightly in each of the two months since July 2026, a streak that has not yet reversed. The benchmark notes this as a pattern worth monitoring, though the movement remains within normal month-to-month variation.

All 379 qualified observations in September 2026 fell into the Brand Recommendation cluster. No qualified observations were recorded in the Pricing and Value or Multi-Brand Comparison clusters, meaning the benchmark can show which brands AI systems recommend for SIEM software but cannot yet show how they compare options head-to-head or frame pricing.

What Rapid7 InsightIDR Is Winning

Questions This Section Answers

• Which metrics show Rapid7 InsightIDR outperforming competitors in the SIEM category?
• Where does Rapid7 InsightIDR record its strongest platform-level recommendation signal?

Rapid7 InsightIDR holds the highest net sentiment score in the tracked set at 0.9143, ahead of Securonix at 0.85 and Elastic Security at 0.6803. This reflects a framing pattern where the brand is described positively when it appears, with 64 positive mentions against zero negative mentions across 70 total mentions.

The brand's strongest platform by recommendation behavior is Google AI Overviews, where it records 30.8% valid recommendation coverage, 33 valid recommendations, and a 5.6% top-three rate. Its positive visibility rate on that platform is 43.0%, and its net sentiment score there is 1.0, meaning every classified mention on Google AI Overviews was positive.

Rapid7 InsightIDR also shows a meaningful presence on Google AI Mode, where it holds 7.4% valid recommendation coverage and 7 valid recommendations. Its rank-one rate on that platform is 1.1%, one of only two platforms where it records a first-position recommendation.

The brand's valid recommendation count of 49 is the fourth-highest in the tracked set, behind Splunk at 121, Elastic Security at 66, and IBM QRadar at 55. This indicates that when Rapid7 InsightIDR is recommended, it is recommended clearly, even if those recommendations do not cluster near the top of the list.

Where Rapid7 InsightIDR Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Rapid7 InsightIDR appear in AI responses without landing in top-three SIEM recommendations?
• Which platform shows the most complete recommendation conversion failure for Rapid7 InsightIDR?

Rapid7 InsightIDR's most significant gap is the distance between its presence rate and its top-three rate. The brand appears in 18.5% of qualified observations but lands in a top-three recommendation position only 2.9% of the time. This 15.6-point gap indicates that the brand is being mentioned as context, comparison anchor, or secondary option far more often than it is being shortlisted as a primary choice.

The brand's rank-one rate of 0.3% is the joint-lowest among brands with any rank-one placements, tied with Elastic Security, Securonix, Google Chronicle, and Microsoft SharePoint. Only one of 379 qualified observations placed Rapid7 InsightIDR as the single first recommendation. By contrast, Splunk holds an 11.3% rank-one rate with 43 first-position placements.

On Copilot, Rapid7 InsightIDR records zero valid recommendations and zero captured recommendation value despite appearing in 4 observations. This is the only platform where the brand has presence but no recommendation conversion at all. On Perplexity, the brand holds 9.7% valid recommendation coverage with 3 valid recommendations, but its average recommended rank there is 5.0, indicating mid-list placement.

The brand's average recommended rank of 4.78 is higher (worse) than Splunk at 2.14, Google Chronicle at 3.80, Exabeam at 3.92, Sumo Logic at 4.10, and IBM QRadar at 4.22. Only Securonix, at 5.52, has a lower average placement among brands with rank-eligible recommendations.

Competitor displacement is most visible against Splunk, which holds 31.9% valid recommendation coverage and 24.5% top-three rate. Elastic Security, the strongest challenger by coverage at 17.4%, holds a 5.0% top-three rate, nearly double Rapid7 InsightIDR's 2.9%. IBM QRadar, which ranks second by coverage at 14.5%, holds a 4.8% top-three rate despite recording zero rank-one placements.

Biggest Opportunity

Questions This Section Answers

• What is the clearest path for converting Rapid7 InsightIDR's positive framing into higher shortlist placement?
• Which platform should Rapid7 InsightIDR prioritize to improve its SIEM AI recommendation position?

Rapid7 InsightIDR's clearest path from reference to recommendation runs through converting its positive framing into higher shortlist placement within the Brand Recommendation cluster. The brand already holds the highest net sentiment score in the tracked set and records 49 valid recommendations, but its average recommended rank of 4.78 and top-three rate of 2.9% show that those recommendations are landing too far down the list to influence buyer shortlists.

The specific opportunity is to strengthen the owned answer layer and citation architecture around the prompts where the brand is already mentioned positively but not placed in the top three. Google AI Overviews is the strongest platform for this effort, where the brand already holds 30.8% coverage and 100% positive sentiment. Copilot is the platform with the clearest remediation need, where the brand has presence but zero recommendation conversion.

Competitive Landscape

Questions This Section Answers

• How does Rapid7 InsightIDR's placement depth compare with Splunk and the other tracked SIEM brands?
• Which competitor shows the largest displacement gap against Rapid7 InsightIDR?

Splunk holds dominant recommendation-stage strength in the SIEM Software category with 31.9% valid recommendation coverage and a 24.5% top-three rate. Rapid7 InsightIDR sits fourth by coverage at 12.9%, within a tightly compressed middle field where five brands fall between 9.0% and 17.4%.

Average recommended rank covers rank-eligible recommendations only.

Rapid7 InsightIDR's position in the table shows a brand with strong framing quality but weak placement depth. Its top-three rate of 2.90% is tied with Exabeam and sits below Google Chronicle at 3.69%, despite Rapid7 InsightIDR holding higher valid recommendation coverage than Google Chronicle. Its rank-one rate of 0.26% is among the lowest in the set, and its average recommended rank of 4.78 is the second-lowest among brands with rank-eligible recommendations.

Prompt Evidence

Questions This Section Answers

• What do the tracked prompts reveal about how AI systems place Rapid7 InsightIDR in SIEM recommendations?
• Which prompts show Rapid7 InsightIDR receiving a valid recommendation versus appearing without one?

Google AI Overviews / Brand Recommendation Prompt: "best cloud siem" Result: Rapid7 InsightIDR was mentioned positively and received a valid recommendation, contributing to its 30.8% coverage on this platform.

Copilot / Brand Recommendation Prompt: "siem tools" Result: Rapid7 InsightIDR appeared in the response but did not receive a valid recommendation, consistent with its zero recommendation conversion on Copilot.

Google AI Mode / Brand Recommendation Prompt: "What are the big 5 cybersecurity companies?" Result: Rapid7 InsightIDR received a rank-one placement, one of only two first-position recommendations recorded across all platforms.

ChatGPT / Brand Recommendation Prompt: "siem company" Result: Rapid7 InsightIDR was mentioned with positive framing but placed outside the top three, reflecting its 4.78 average recommended rank.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Rapid7 InsightIDR is mentioned positively but not shortlisted, and identify which competitors capture the top-three placements the brand is missing.

Phase 2: Recommendation Readiness Plan Prioritize the Google AI Overviews and Google AI Mode prompts where the brand already holds coverage, and build a remediation plan for Copilot where recommendation conversion is zero.

Phase 3: Owned Answer Layer Buildout Strengthen the brand's owned pages around the high-intent SIEM evaluation prompts where it appears as a reference but not as a primary recommendation.

Phase 4: Citation / Authority Layer Development Develop the public evidence layer, including third-party comparisons, analyst references, and source pages, that AI systems retrieve when forming SIEM recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track top-three rate, rank-one rate, and average recommended rank month over month to measure whether positive framing is converting into higher shortlist placement.

Why This Matters

AI systems are now forming the buyer shortlist for SIEM software before a prospect ever visits a vendor website. Rapid7 InsightIDR's 18.5% presence rate shows that AI systems know the brand, but its 2.9% top-three rate shows that they rarely place it near the top of the list. In a category where five brands sit within eight points of coverage, the difference between being mentioned and being shortlisted determines whether a brand enters the evaluation set at all.

The next move is not more visibility. It is targeted correction of the prompt, page, and citation layers that determine whether a positive mention becomes a top-three recommendation. Rapid7 InsightIDR already holds the strongest sentiment signal in the tracked set. The work ahead is converting that signal into placement.

Core Metrics

Sentiment Score

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

For Rapid7 InsightIDR in September 2026: (64 × 1 + 6 × 0 + 0 × -1) / 70 = 0.9143.

This score matters because unclassified mention counts are misleading. A brand that appears in 70 responses but is framed negatively, neutrally, or as a comparison anchor is not in the same position as a brand that appears in 70 responses with consistent positive framing. 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, and counting all mentions as wins is bad measurement.

Rapid7 InsightIDR's 0.9143 sentiment score indicates that when the brand appears, it is framed positively. This is a genuine strength. But sentiment alone does not determine whether a buyer shortlists the brand. Classified sentiment is required before interpreting AI visibility, and it must be read alongside recommendation coverage, top-three rate, and average recommended rank.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Rapid7 InsightIDR's position in the September 2026 LLM Authority Index SIEM Software AI Market Discovery Index. It is not a client implementation case study.
2. The reporting window is September 2026, with comparisons to the July 2026 baseline and August 2026 prior month where available.
3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The September 2026 run began with 793 prompt-surface observations and 603 unique questions. Of those, 793 mentioned a tracked brand or competitor, 532 were relevant, and 261 were irrelevant. The public benchmark denominator is 379 qualified observations.
5. Nine brands were tracked in the September 2026 set: Splunk, Elastic Security, IBM QRadar, Rapid7 InsightIDR, Securonix, Exabeam, Google Chronicle, Sumo Logic, and Microsoft SharePoint. Microsoft Sentinel appeared in the August 2026 set but was not tracked in September 2026.
6. All 379 qualified observations fell into the Brand Recommendation cluster. No qualified observations were recorded in the Pricing and Value or Multi-Brand Comparison clusters.
7. A mention is counted when a brand appears in a qualified AI response, regardless of whether it is recommended. A valid recommendation is counted when the dataset explicitly marks the brand as receiving a clear, actionable recommendation.
8. 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. Average recommended rank covers rank-eligible recommendations only.
9. Net sentiment reflects the balance of positive versus negative mentions, from -1 to +1. It is a framing quality metric, not a measure of customer sentiment.
10. Microsoft SharePoint's September result rests on 3 valid recommendations, and Sumo Logic's rests on 15. Movement in these figures should be read with that context in mind.
11. Month-over-month movement identifies changes worth investigating. It does not by itself establish the cause of those changes.
12. The benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private and sponsored channels.

See How AI Is Recommending Your Brand

The public benchmark shows where Rapid7 InsightIDR is winning and losing at the category level. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, ranking patterns, sentiment signals, and evidence sources that determine whether the brand enters the buyer shortlist. It converts the benchmark's category-level signals into actionable intelligence for a single brand.