BeyondTrust AI Market Strategy Report - Identity and Access Management

Answer Capsule

BeyondTrust holds a clear third-place position in AI-generated recommendations for Identity and Access Management, but its recommendation coverage declined for a second consecutive month in September 2026. The benchmark shows BeyondTrust was present in 27.5% of qualified observations yet converted only 10.6% into valid recommendations, revealing a meaningful gap between visibility and recommendation strength. Its strongest signal is a rising rank-one rate, which improved from 0.5% in July to 2.0% in September. The clearest weakness is the widening distance to the two-brand leadership tier, with a 23.5-point coverage gap to SailPoint. The clearest opportunity lies in converting its stable mention presence into valid recommendations by addressing the prompts where BeyondTrust is named but not selected.

Who This Report Is For

This report is for identity and access management marketing, product marketing, and demand generation leaders who need to understand how AI systems are currently framing BeyondTrust in buyer research and where recommendation-stage visibility is being lost.

Report Card

Executive Summary

BeyondTrust enters October 2026 as the clear third brand in AI-generated recommendations for Identity and Access Management, but its position is softening. Valid recommendation coverage fell from 15.2% in July to 11.9% in August to 10.6% in September, a two-month downward streak that the benchmark marked as the largest sustained decline among tracked brands. The brand recorded 27 valid recommendations from 255 qualified observations in September, with 70 total mentions.

The core pattern is a widening gap between presence and recommendation. BeyondTrust appeared in 27.5% of qualified observations in September, up from 26.2% in July, yet the share of those mentions converting into valid recommendations declined over the same period. The brand is being surfaced more often but selected less frequently.

Its strongest cluster is the brand recommendation class, which captured all 255 qualified observations in September. Its weakest area is the conversion layer: too many mentions end without a recommendation. The strongest platform signal came from Google AI Overviews, where BeyondTrust reached 22.78% valid recommendation coverage, its highest platform-level result. The clearest platform gap is ChatGPT, where BeyondTrust recorded six mentions but zero valid recommendations.

The benchmark evidence suggests BeyondTrust is visible but under-recommended, a position that carries commercial risk as AI systems increasingly shape the buyer shortlist.

What BeyondTrust Is Winning

Questions This Section Answers

• Where does BeyondTrust hold its strongest competitive position in AI recommendations?
• What evidence shows BeyondTrust improving in recommendation placement?

BeyondTrust holds the clearest third-position status in the category. No brand below it recorded meaningful recommendation coverage in September, and BeyondTrust's 10.6% valid recommendation coverage was more than 25 times the next closest tracked brand.

The brand's rank-one rate improved from 0.5% in July to 2.0% in September, moving from one rank-one recommendation to five. Its average recommended rank of 3.78 across 27 valid recommendations shows that when BeyondTrust is selected, it tends to appear inside the top four positions.

BeyondTrust also recorded a net sentiment score of 0.67 with zero negative mentions across the full series, indicating that AI systems frame the brand positively when they reference it. Google AI Overviews emerged as a meaningful pocket of strength, with 22.78% valid recommendation coverage and a 5.06% rank-one rate, the brand's best platform-level performance.

Where BeyondTrust Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How far does BeyondTrust trail the leadership tier in recommendation coverage?
• Where is BeyondTrust losing the conversion from mention to valid recommendation?

The most significant gap is the distance to the leadership tier. Okta held 38.0% valid recommendation coverage in September and SailPoint held 34.1%, leaving BeyondTrust 23.5 points behind the brand directly above it. The two-brand structure leaves limited room for a third brand to enter the default shortlist.

BeyondTrust shows a clear presence-to-recommendation conversion problem. The brand was mentioned in 70 of 255 qualified observations but recommended in only 27. That means 43 mentions, or 61.4% of its presence, did not convert into a valid recommendation. The benchmark evidence suggests BeyondTrust is being named as context or comparison material rather than as a selected option.

Platform-level gaps reinforce this pattern. On ChatGPT, BeyondTrust recorded six mentions with zero valid recommendations. On Gemini, five mentions produced zero valid recommendations. On Copilot, 13 mentions produced one valid recommendation. The brand's recommendation strength is concentrated almost entirely in Google AI Overviews and Google AI Mode, leaving it with weak or absent recommendation presence across the other major AI surfaces.

Biggest Opportunity

Questions This Section Answers

• What is the highest-leverage move for BeyondTrust to close the gap with the leaders?

The clearest opportunity for BeyondTrust is converting its stable mention presence into valid recommendations on the platforms where it is currently named but not selected. The brand is already part of the AI conversation, appearing in more than one in four qualified observations, but it is not closing the loop into recommendation status on ChatGPT, Gemini, and Copilot. Closing that conversion gap on even one of those platforms would narrow the distance to the leadership tier more meaningfully than expanding raw visibility.

Competitive Landscape

Questions This Section Answers

• How does BeyondTrust rank against Okta and SailPoint on recommendation strength?

Okta and SailPoint hold dominant recommendation-stage strength in Identity and Access Management, with BeyondTrust positioned as a distant third and all other tracked brands holding negligible or zero recommendation presence.

Average recommended rank covers rank-eligible recommendations only.

The table shows BeyondTrust holding a clear but distant third position. Its top-three rate of 5.49% trails Okta by 29.4 points and SailPoint by 19.2 points, while its rank-one rate of 1.96% sits well below Okta's 21.96%. The brand's sentiment score of 0.67 is comparable to the leaders, indicating that framing quality is not the limiting factor.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "privileged identity management solutions" Result: BeyondTrust received a valid recommendation and appeared in the top three, its strongest platform outcome.

ChatGPT / Brand Recommendation Prompt: "access control" Result: BeyondTrust was mentioned but received no valid recommendation, with the selection going to a competitor.

Copilot / Brand Recommendation Prompt: "delegation privilege manager" Result: BeyondTrust received a rank-one recommendation, one of five rank-one outcomes in September.

Gemini / Brand Recommendation Prompt: "byod network security" Result: BeyondTrust was mentioned positively but not recommended, illustrating the conversion gap on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where BeyondTrust is mentioned but not recommended, identifying which competitor receives the recommendation instead.

Phase 2: Recommendation Readiness Plan Prioritize the ChatGPT, Gemini, and Copilot surfaces where BeyondTrust has presence without recommendation conversion, and build the answer architecture needed to close that gap.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent privileged access management and identity security prompts, giving AI systems clearer material to recommend from.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer with analyst-grade, citable sources that support BeyondTrust's positioning in the specific prompt clusters where it is currently losing recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether the conversion gap narrows month over month and whether the brand's top-three and rank-one rates improve on the platforms where it is currently under-recommended.

Why This Matters

Questions This Section Answers

• Why is converting mentions into recommendations becoming commercially critical in IAM?

AI systems are increasingly forming the buyer shortlist for Identity and Access Management before a human sales conversation begins. BeyondTrust is part of that conversation, appearing in more than one in four qualified observations, but presence alone is not enough when the recommendation goes to Okta or SailPoint.

The next move is not broader visibility. It is targeted correction of the prompt, page, and citation layers that determine whether BeyondTrust converts a mention into a selection. The benchmark shows the brand is framed positively and holds a credible third position. The work is closing the distance between being named and being chosen.

Core Metrics

Sentiment Score

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

For BeyondTrust in September 2026, that calculation is (47 × 1 + 23 × 0 + 0 × -1) / 70, producing a score of 0.67.

This matters because unclassified mention counts are misleading. A raw mention total of 70 says nothing about whether those mentions were positive, neutral, or negative. 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 competitive positions.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of BeyondTrust's AI recommendation visibility in the Identity and Access Management category, produced from the LLM Authority Index AI Market Discovery Index and supporting metrics aggregation. It is not a client implementation case study.
2. The reporting window is September 2026, with July and August 2026 referenced for trend context.
3. Six AI and search surfaces were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The benchmark began with 800 prompt-surface observations, of which 368 were relevant to the category and 255 qualified for brand-level metrics after relevance and eligibility filtering.
5. Ten brands were tracked in the competitor universe: Okta, SailPoint, BeyondTrust, Semperis, Keyfactor, RSA Security, Axiad, CLEAR (by Alclear, LLC), Cross Match Technologies, and Telos Corporation.
6. All 255 qualified observations fell into the brand recommendation buyer-intent class. No qualified observations were recorded in the pricing and value or multi-brand comparison classes.
7. Stage 0 extraction captured prompt-level observations including query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any qualified observation in which the brand was named by the AI answer, regardless of whether it was recommended.
9. A valid recommendation is defined as a positive mention in which the brand was explicitly recommended or shortlisted. Neutral mentions, cautionary references, and comparison-anchor mentions are not counted as valid recommendations.
10. Brand-level percentages use the qualified observation count of 255 as the denominator, not the 800 raw prompt-surface observations.
11. The three-month series is too short to treat BeyondTrust's September decline as an established trend. Small-count movements for brands below the leadership tier should not be over-read.
12. Limitations: the 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. Source presence is evidence about the information environment, not proof that a source caused a recommendation.

Get Your AI Visibility Audit

The public benchmark shows where BeyondTrust is winning and losing in AI-generated recommendations, but it cannot identify the specific prompts, competitors, and sources driving each outcome. A company-level AI visibility audit maps those patterns into a prioritized strategy for converting mention presence into recommendation strength.