Rapid7 InsightIDR AI Visibility Market Strategy Report - SIEM Software

Answer Capsule

Rapid7 InsightIDR holds third place in the October 2026 SIEM Software benchmark with 15.9% valid recommendation coverage, up 2.4 points from the July 2026 baseline. The brand is mentioned in 19.1% of qualified observations but converts that presence into a valid recommendation in only 15.9% of cases, a gap that places it well behind Splunk at 42.0% and Elastic Security at 28.3%. Its clearest win is the highest net sentiment score in the tracked set at 0.91, indicating consistently positive framing when the brand does appear. Its clearest weakness is a rank-one rate of just 0.7%, meaning AI systems rarely name Rapid7 InsightIDR as the single first recommendation. The clearest opportunity sits in converting its strong sentiment position into stronger top-three and first-position placement across high-intent evaluation prompts.

Who This Report Is For

This report is for Rapid7 InsightIDR marketing, product marketing, and demand generation leaders who need to understand how AI systems present and recommend the brand in the SIEM Software category, and where the gap between presence and recommendation power is costing shortlist eligibility.

Report Card

Executive Summary

Rapid7 InsightIDR holds the third position in the October 2026 SIEM Software benchmark by valid recommendation coverage at 15.9%, behind Splunk at 42.0% and Elastic Security at 28.3%. The brand appeared in 54 of 283 qualified observations, a raw mention presence rate of 19.1%, and converted 45 of those into valid recommendations. The gap between presence and recommendation conversion is narrow relative to some competitors, but the absolute coverage level leaves the brand well outside the top tier.

The brand's strongest signal is its net sentiment score of 0.91, the highest among all tracked companies in the October 2026 benchmark. Of its 54 mentions, 49 were positive and 5 were neutral, with zero negative mentions recorded. This indicates that when AI systems do surface Rapid7 InsightIDR, the framing is consistently favorable.

The weakest signal is placement strength. Rapid7 InsightIDR recorded a top-three rate of 4.6% and a rank-one rate of just 0.7%, meaning the brand appeared as the first recommendation in only 2 of 283 qualified observations. Its average recommended rank of 4.77 places it in the middle of the recommendation list when it does appear, well behind Splunk's average of 2.17.

The strongest platform signal for Rapid7 InsightIDR is Google AI Overviews, where the brand recorded a 33.7% valid recommendation coverage rate and a 37.9% raw mention presence rate. This platform produced the highest volume of qualified observations at 95 and represents the brand's most consistent recommendation environment.

The clearest platform gap is Copilot, where Rapid7 InsightIDR recorded only 1 mention across 35 observations, a presence rate of 2.9%, and a valid recommendation coverage of 2.9%. The brand also showed limited presence on Gemini at 6.5% coverage and Perplexity at 13.8% coverage.

The benchmark's buyer-intent distribution shows that all 283 qualified observations fell into the Brand Recommendation cluster. Pricing and Value and Multi-Brand Comparison clusters produced zero qualified observations in October 2026, meaning the benchmark cannot yet measure how AI systems frame Rapid7 InsightIDR in head-to-head comparisons or pricing discussions.

What Rapid7 InsightIDR Is Winning

Questions This Section Answers

• Why does Rapid7 InsightIDR hold the highest net sentiment score in the October 2026 SIEM benchmark?
• Which platform gives Rapid7 InsightIDR its strongest recommendation signal?
• How stable is Rapid7 InsightIDR's third-place coverage position against its July 2026 baseline?

Rapid7 InsightIDR holds the highest net sentiment score in the October 2026 SIEM Software benchmark at 0.91. This score reflects the balance of positive and negative mentions, and the brand recorded 49 positive mentions against zero negative mentions across 54 total appearances. No other tracked brand achieved a sentiment score above 0.86 in this reporting period.

The brand maintains a stable third-place position by valid recommendation coverage at 15.9%, up 2.4 points from its July 2026 baseline of 13.5%. This movement falls within normal variation but confirms the brand has not lost ground in a month when one competitor recorded a significant decline and another recorded a significant gain.

Rapid7 InsightIDR shows its strongest platform performance on Google AI Overviews, where it recorded a 33.7% valid recommendation coverage rate and a 37.9% raw mention presence rate. This platform produced 95 qualified observations in October 2026, the largest single-platform sample in the benchmark, and the brand's performance there represents its most consistent recommendation environment.

The brand also recorded 44 top-ten placements across the qualified observation set, a top-ten rate of 15.6%. This indicates that when Rapid7 InsightIDR enters a recommendation list, it frequently appears within the broader consideration set even when it does not reach the top three.

Where Rapid7 InsightIDR Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Rapid7 InsightIDR's 19.1% presence rate not convert into top-three or rank-one placement?
• How does Rapid7 InsightIDR's top-three rate compare with Splunk and Elastic Security?
• Which AI platforms show the weakest Rapid7 InsightIDR presence, and what does that leave unmeasured?

Rapid7 InsightIDR is present in AI-generated responses but is not consistently chosen. The brand appeared in 54 of 283 qualified observations, a presence rate of 19.1%, but received a valid recommendation in only 45 of those cases. More critically, it appeared in a top-three position in only 13 observations, a top-three rate of 4.6%, and as the single first recommendation in only 2 observations, a rank-one rate of 0.7%.

The gap between presence and recommendation power is most visible when compared to Splunk. Splunk recorded a 93.3% presence rate and converted that into a 42.0% valid recommendation coverage rate, a 34.6% top-three rate, and a 14.8% rank-one rate. Rapid7 InsightIDR's presence rate of 19.1% is roughly one-fifth of Splunk's, and its rank-one rate of 0.7% is roughly one-twentieth of Splunk's. The brand is visible but is not being recommended at the decision moment with anywhere near the same frequency.

Elastic Security, which holds second place by coverage at 28.3%, recorded a top-three rate of 10.6% and a rank-one rate of 0.0%. Rapid7 InsightIDR's top-three rate of 4.6% is less than half of Elastic Security's, despite the two brands appearing in a similar number of qualified observations (54 for Rapid7 InsightIDR, 150 for Elastic Security). The comparison suggests that when both brands appear, Elastic Security is more likely to be placed in a top-three position.

The brand's weakest platform is Copilot, where it recorded only 1 mention across 35 qualified observations, a presence rate of 2.9%. It received a valid recommendation in that single appearance but did not reach a top-three position. Gemini also shows limited traction, with a 6.5% valid recommendation coverage rate and a 6.5% presence rate across 31 observations. Perplexity recorded a 13.8% coverage rate across 29 observations, with 4 valid recommendations and 2 top-three placements.

The benchmark's cluster structure shows that all qualified observations fell into the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters produced zero qualified observations in October 2026. This means the benchmark cannot yet measure how AI systems position Rapid7 InsightIDR in head-to-head comparisons or pricing discussions, leaving those commercial questions outside the current measurement scope.

Biggest Opportunity

Questions This Section Answers

• How could Rapid7 InsightIDR convert its sentiment advantage into stronger top-three or rank-one placement?
• Which platforms or prompt layers should Rapid7 InsightIDR prioritize to build recommendation priority?

The clearest opportunity for Rapid7 InsightIDR is to convert its strong sentiment position into stronger top-three and first-position placement. The brand recorded the highest net sentiment score in the benchmark at 0.91, indicating that AI systems frame it positively when it appears. However, its top-three rate of 4.6% and rank-one rate of 0.7% show that positive framing is not translating into recommendation priority.

The path from reference to recommendation runs through the evaluation-stage prompt patterns that currently produce top-three placements for Splunk and Elastic Security. Rapid7 InsightIDR already appears in 54 qualified observations, giving it a presence foundation to build on. The opportunity is to strengthen the citation and evidence layer that AI systems draw on when forming ranked recommendations, particularly on platforms like Copilot and Gemini where the brand's presence is currently minimal.

Competitive Landscape

Questions This Section Answers

• How does Rapid7 InsightIDR's top-three and average recommended rank compare with Splunk and Elastic Security?
• Why does Rapid7 InsightIDR rank fourth by top-three rate despite holding third place by recommendation coverage?

Splunk holds dominant recommendation-stage strength in the SIEM Software category with a 42.0% valid recommendation coverage rate and a 34.6% top-three rate. Elastic Security has moved into a clear second position at 28.3% coverage, while Rapid7 InsightIDR sits third at 15.9%. The gap between second and third place is 12.4 points, and the gap between third and fourth place (Securonix at 12.4%) is 3.5 points.

Average recommended rank covers rank-eligible recommendations only.

Rapid7 InsightIDR ranks fourth by top-three rate at 4.59%, tied with Exabeam, despite holding third place by valid recommendation coverage. The brand's average recommended rank of 4.77 is the second-highest among brands with rank-eligible recommendations, indicating that when it does appear in a recommendation list, it typically lands in the middle rather than near the top. Its sentiment score of 0.9074 is the highest in the table, showing that positive framing is not the constraint on its recommendation position.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "Which is the best SIEM tool?" Result: Rapid7 InsightIDR appeared in the response with positive framing, contributing to its 33.7% valid recommendation coverage on this platform, but did not secure a rank-one placement.

Copilot / Brand Recommendation Prompt: "siem solution" Result: Rapid7 InsightIDR was absent from the response, consistent with its 2.9% presence rate on Copilot across 35 qualified observations.

ChatGPT / Brand Recommendation Prompt: "siem products" Result: Rapid7 InsightIDR received a valid recommendation with positive sentiment, contributing to its 7.7% coverage rate on ChatGPT, but did not reach a top-three position.

Perplexity / Brand Recommendation Prompt: "insider threat detection software" Result: Rapid7 InsightIDR appeared as a top-three recommendation, one of only 2 top-three placements recorded on Perplexity across 29 qualified observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map exactly which high-intent SIEM prompts surface Rapid7 InsightIDR, which competitors displace it, and which platforms produce the strongest and weakest recommendation signals.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where the brand's strong sentiment position can be converted into top-three and rank-one placements, focusing on Copilot and Gemini where presence is currently minimal.

Phase 3: Owned Answer Layer Buildout Strengthen the owned content and comparison pages that AI systems retrieve when forming SIEM recommendations, ensuring Rapid7 InsightIDR's differentiators are clearly stated and easily extractable.

Phase 4: Citation / Authority Layer Development Build the third-party evidence layer that AI systems draw on for SIEM recommendations, including analyst references, review platform presence, and technical documentation that supports recommendation-stage visibility.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three rate, rank-one rate, and sentiment across all six AI platforms to measure whether the brand is closing the gap to Splunk and Elastic Security.

Why This Matters

AI presence alone is not enough. Rapid7 InsightIDR appears in 19.1% of qualified SIEM observations, but it receives a valid recommendation in only 15.9% of cases and a top-three placement in only 4.6%. The brand's highest-in-benchmark sentiment score of 0.91 shows that AI systems frame it positively when it appears, but positive framing is not converting into recommendation priority.

The next move is targeted correction of the prompt, page, and citation layers that determine where Rapid7 InsightIDR lands in AI-generated recommendation lists. The brand has a presence foundation and a sentiment advantage. The gap is in recommendation placement, and closing that gap requires building the evidence layer that AI systems use when ranking SIEM options.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why does Rapid7 InsightIDR's high sentiment score not translate into stronger recommendation placement?
• What do Rapid7 InsightIDR's classified mention counts reveal that raw mention volume does not?

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

For Rapid7 InsightIDR in October 2026: (49 × 1 + 5 × 0 + 0 × -1) / 54 = 0.9074

This score matters because unclassified mention counts are misleading. A brand that appears frequently but is framed negatively or neutrally is not in the same position as a brand that appears less often but is consistently recommended. 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. Rapid7 InsightIDR's 54 mentions include 49 positive and 5 neutral appearances, with zero negative mentions. This is the strongest sentiment profile in the October 2026 SIEM benchmark. However, sentiment alone does not determine recommendation placement. The brand's top-three rate of 4.6% and rank-one rate of 0.7% show that positive framing is not translating into recommendation priority. Classified sentiment is required before interpreting AI visibility, and it must be read alongside recommendation coverage and placement metrics.

Sentiment by Platform

Questions This Section Answers

• Which platforms show consistently positive sentiment for Rapid7 InsightIDR, and where is the sample too small to interpret?
• How does Google AI Overviews' sentiment profile differ from ChatGPT or Google AI Mode?

Methodology

Questions This Section Answers

• What did the October 2026 SIEM benchmark measure and which observations qualified?
• How should the smaller 283-observation base affect interpretation of Rapid7 InsightIDR's month-over-month movement?

1. This report is a benchmark-based analysis of Rapid7 InsightIDR's AI visibility and recommendation performance in the SIEM Software category for October 2026. It is not a client implementation case study.
2. The reporting window is October 2026, with comparisons to the July 2026 baseline where available.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The October 2026 benchmark produced 283 qualified observations from an initial collection of 780 source prompt-surface observations representing 617 unique questions.
5. The competitor universe includes nine tracked brands: Splunk, Elastic Security, Rapid7 InsightIDR, Securonix, Exabeam, Google Chronicle, Sumo Logic, IBM Consulting, and Microsoft SharePoint. IBM QRadar was removed from the tracked roster for October 2026.
6. Three public high-intent clusters were defined: Brand Recommendation (consideration stage), SIEM Software Comparisons (evaluation stage), and SIEM Software Pricing and Cost (decision stage). All 283 qualified observations fell into the Brand Recommendation cluster.
7. Stage 0 extraction produced prompt-level observations retaining the query, AI platform, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any appearance of the brand in an AI-generated response, regardless of whether the brand is recommended.
9. A valid recommendation is defined as a clear, actionable recommendation of the brand in an AI-generated response. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as such.
10. The October 2026 qualified base of 283 observations is the smallest of the four months in the current series. Percentage movement on a smaller denominator magnifies each additional placement, so month-over-month comparisons should be read alongside the underlying counts.
11. Source presence is evidence about the information environment. It is not automatically proof that a source caused a recommendation.
12. 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.

See How AI Is Recommending Your Brand

The public benchmark shows where Rapid7 InsightIDR stands in AI-generated SIEM recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and citation sources that determine whether the brand appears in the buyer shortlist or is displaced by a competitor. The audit converts category-level signals into a prioritized strategy for improving recommendation-stage visibility.