Rapid7 InsightIDR AI Market Strategy Report - Cybersecurity Services

Answer Capsule

Rapid7 InsightIDR holds a mid-tier position in AI-generated recommendations for cybersecurity services, with valid recommendation coverage of 10.82% in September 2026. The brand appears in 19.95% of qualified observations but converts less than one in ten mentions into a valid recommendation, indicating visibility without proportional recommendation strength. Its clearest win is a strong positive framing profile with no negative mentions, while its clearest weakness is a rank-one rate of just 0.24%, meaning the brand is rarely the single best answer. The clearest opportunity lies in converting its substantial presence in detection and response prompts into higher recommendation placement, particularly on Google AI Mode and Google AI Overviews where its coverage is strongest.

Who This Report Is For

This report is for cybersecurity marketing, product, and competitive intelligence leaders who need to understand how AI systems recommend managed detection and response and endpoint security providers at the point of buyer consideration.

Report Card

Executive Summary

Questions This Section Answers

• Where does Rapid7 InsightIDR stand in AI-generated recommendations for cybersecurity services?
• What explains the gap between Rapid7 InsightIDR's mention presence and its valid recommendation coverage?

Rapid7 InsightIDR holds a meaningful but secondary position in AI-generated recommendations for cybersecurity services. The September 2026 LLM Authority Index benchmark shows the brand with 10.82% valid recommendation coverage, placing it fifth among ten tracked brands. Its raw mention presence of 19.95% is more than double its recommendation coverage, a gap that signals the brand is frequently discussed but less frequently selected as a recommended option.

The brand recorded 83 mentions in September 2026, of which 70 were positive, 13 were neutral, and none were negative. That positive framing profile is a genuine asset. Rapid7 InsightIDR converts 45 of those mentions into valid recommendations, with 16 top-three placements and just 1 rank-one placement. The average recommended rank of 4.29 means that when the brand is recommended, it tends to appear in the middle of the list rather than at the top.

Rapid7 InsightIDR's strongest cluster is the Best MDR Provider Evaluation cluster, which accounts for all qualified observations in the current public benchmark. Its strongest platform signal comes from Google AI Mode, where valid recommendation coverage reaches 11.65%, and Google AI Overviews, where it reaches 16.51%. Its clearest platform gap is ChatGPT, where the brand holds 18.46% raw presence but only 10.77% valid recommendation coverage and a 1.54% top-three rate.

The evidence suggests Rapid7 InsightIDR is visible across AI surfaces but is being positioned as a credible alternative rather than a first-choice recommendation. The gap between presence and recommendation conversion, combined with a rank-one rate near zero, points to a brand that AI systems acknowledge but do not lead with.

What Rapid7 InsightIDR Is Winning

Rapid7 InsightIDR's strongest evidence-backed win is its positive framing profile. The brand recorded zero negative mentions across 416 qualified observations in September 2026, with a net sentiment score of 0.8434. No tracked brand in the benchmark carries negative framing, but Rapid7 InsightIDR's positive-to-neutral ratio is among the cleaner profiles in the set.

The brand's strongest platform performance is on Google AI Overviews, where it reaches 16.51% valid recommendation coverage from 28.44% raw presence. That platform also delivers the brand's highest positive visibility rate at 28.44%, meaning every mention on that surface is positive. Google AI Mode is the second strongest platform, with 11.65% valid recommendation coverage and a 16.50% positive visibility rate.

Rapid7 InsightIDR also holds a narrow but meaningful recommendation pocket on Perplexity, where it reaches 7.41% valid recommendation coverage from 22.22% raw presence. The brand's average recommended rank of 3.0 on that platform is its best placement performance across all tracked surfaces.

Where Rapid7 InsightIDR Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How does Rapid7 InsightIDR's rank-one rate compare with the category leader's?
• What does the ChatGPT platform gap indicate about how the brand is being positioned?

The clearest gap for Rapid7 InsightIDR is the conversion of presence into recommendation. The brand appears in 19.95% of qualified observations but receives valid recommendations in only 10.82%. That means roughly half of its mentions do not result in a recommendation, a pattern that suggests AI systems reference the brand as context or comparison rather than as a selected option.

The rank-one gap is more pronounced. Rapid7 InsightIDR reaches the first recommendation position just 0.24% of the time, with only 1 rank-one placement across the entire benchmark. By comparison, category leader CrowdStrike Falcon holds a 30.05% rank-one rate with 125 first-position placements. Even Arctic Wolf, which sits directly above Rapid7 InsightIDR in overall coverage, reaches the first position 6.73% of the time with 28 placements.

The ChatGPT platform gap is worth specific attention. Rapid7 InsightIDR holds 18.46% raw presence on ChatGPT but only 10.77% valid recommendation coverage, with a top-three rate of just 1.54%. The brand appears frequently in ChatGPT answers but is rarely placed in a top recommendation position, suggesting competitor displacement in the most visible recommendation slots.

Biggest Opportunity

The clearest opportunity for Rapid7 InsightIDR is converting its Google AI Mode and Google AI Overviews presence into higher recommendation placement. These two platforms account for the majority of the brand's valid recommendation volume, with 12 of 45 valid recommendations on Google AI Mode and 18 of 45 on Google AI Overviews. Yet the brand's rank-one rate on both platforms is 0.00%, meaning it is consistently recommended below other options.

The path forward is to strengthen the evidence layer that supports first-position recommendations on these surfaces. Rapid7 InsightIDR's positive framing and absence of negative sentiment provide a clean foundation. The gap is in the sources and signals that lead AI systems to place the brand first rather than third or fourth. Building the citation architecture around detection and response capabilities, where the brand already holds meaningful presence, is the most direct route from reference to recommendation.

Competitive Landscape

Questions This Section Answers

• Where does Rapid7 InsightIDR rank among the ten tracked brands on recommendation placement?
• What does the brand's average recommended rank reveal about its position in AI-generated lists?

CrowdStrike Falcon holds dominant recommendation-stage strength in the cybersecurity services category, with Rapid7 InsightIDR positioned in the middle of the tracked competitive set. The table below shows where each brand stands on recommendation placement metrics.

Average recommended rank covers rank-eligible recommendations only.

Rapid7 InsightIDR sits fifth in the competitive set by top-three rate, behind the four leading brands but ahead of the remaining five. Its average recommended rank of 4.29 is the weakest among brands with meaningful recommendation volume, indicating that when the brand is recommended, it appears lower in the list than its coverage level might suggest.

Prompt Evidence

Google AI Mode / Best MDR Provider Evaluation Prompt: "managed security services" Result: Rapid7 InsightIDR appears in the response but is not placed in a top recommendation position, with the brand's rank-one rate on this platform at 0.00%.

Google AI Overviews / Best MDR Provider Evaluation Prompt: "siem tools" Result: Rapid7 InsightIDR is mentioned and recommended, reaching 16.51% valid recommendation coverage on this platform, but never appears as the first recommendation.

ChatGPT / Best MDR Provider Evaluation Prompt: "cybersecurity companies" Result: Rapid7 InsightIDR holds 18.46% raw presence but only 1.54% top-three rate, indicating the brand is referenced but displaced from prominent recommendation slots.

Perplexity / Best MDR Provider Evaluation Prompt: "cloud security solutions" Result: Rapid7 InsightIDR achieves its strongest placement performance with an average recommended rank of 3.0, though the sample size is limited.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts and surfaces where Rapid7 InsightIDR is mentioned but not recommended, with priority on ChatGPT and Google AI Mode displacement patterns.

Phase 2: Recommendation Readiness Plan Identify the evidence gaps that prevent Rapid7 InsightIDR from converting presence into top-three and rank-one placements, focusing on detection and response capabilities.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers high-intent MDR and SIEM selection questions directly, giving AI systems clear source material for first-position recommendations.

Phase 4: Citation / Authority Layer Development Strengthen the backlink-supported evidence layer around Rapid7 InsightIDR's detection and response strengths, with emphasis on sources that AI systems currently cite for competitor recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track monthly changes in presence, recommendation coverage, top-three rate, and rank-one rate across all six AI surfaces to measure the impact of the remediation plan.

Why This Matters

AI-generated recommendations are becoming the first filter in cybersecurity vendor selection. When a buyer asks which MDR or SIEM provider to use, the AI answer shapes the shortlist before any human conversation begins. Rapid7 InsightIDR is present in those answers, but presence alone is not enough. The brand is being acknowledged without being chosen, appearing in responses as a reference point rather than as the recommended option.

The next move is targeted correction of the prompt, page, and citation layers. Rapid7 InsightIDR has a clean sentiment profile and meaningful presence on the platforms where cybersecurity buyers form their shortlists. The gap is in the evidence that leads AI systems to place the brand first. Closing that gap is the difference between being part of the conversation and winning it.

Core Metrics

Sentiment Score

Questions This Section Answers

• How is the net sentiment score calculated for Rapid7 InsightIDR?
• Why is classified sentiment required before interpreting AI visibility?

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

For Rapid7 InsightIDR, the calculation is (70 × 1 + 13 × 0 + 0 × -1) / 83, producing a net sentiment score of 0.8434.

This score matters because unclassified mention counts are misleading. A brand with high raw presence but neutral or negative framing is not winning recommendations. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the same mention count can represent very different recommendation outcomes.

Sentiment by Platform

Methodology

Questions This Section Answers

• How is a valid recommendation defined in this benchmark?
• Which benchmark change explains large month-over-month swings for several brands?
• What limitations apply when interpreting single-digit coverage figures?

1. This report is a benchmark-based analysis of Rapid7 InsightIDR's AI recommendation visibility in the cybersecurity services category, drawn from the LLM Authority Index AI Market Discovery Index and CiteWorks Studio interpretation of that public benchmark. It is not a client implementation case study.
2. The reporting window is September 2026, with the July 2026 baseline used for movement comparison where relevant.
3. Six canonical AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The benchmark began with 764 source prompt-surface observations in September 2026, of which 416 qualified for the public benchmark after relevance and qualification stages.
5. The competitor universe includes 10 tracked brands: Arctic Wolf, CrowdStrike Falcon, Deepwatch, Google Chronicle, Optiv, Palo Alto Cortex XDR, Rapid7 InsightIDR, Secureworks Taegis, Sophos Intercept X, and Trustwave.
6. The public benchmark uses one buyer-intent cluster, Best MDR Provider Evaluation, which captures brand recommendation prompts. Pricing and comparison clusters had no qualified observations in this period.
7. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any appearance of a tracked brand in a qualified observation, regardless of whether the brand is recommended.
9. A valid recommendation is defined as a positive mention in which the brand is explicitly recommended or shortlisted, with rank-eligible recommendations receiving placement credit.
10. Brand-level percentages use the 416 qualified observations as the public denominator, not the 764 raw collection prompts.
11. The August 2026 intermediate run used parent-company brand names rather than product-line names; September 2026 returned to product-line tracking. This naming shift, not organic movement, drives large month-over-month swings for several brands.
12. Limitations: This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or causality from metric movement alone. Single-digit coverage figures should be treated as directional signals, not definitive rankings.

See How AI Is Recommending Your Brand

The public benchmark shows where Rapid7 InsightIDR stands in AI-generated recommendations, but the aggregate percentages do not explain why the brand is mentioned without being chosen. A company-level AI visibility audit maps the specific prompts, competitor displacement patterns, and evidence sources that shape AI recommendations, turning visibility data into a prioritized strategy for winning the buyer shortlist.