BeyondTrust AI Visibility Market Strategy Report - Identity and Access Management

Answer Capsule

BeyondTrust is the clear third-place brand in AI-generated Identity and Access Management recommendations for October 2026, holding 19.63% valid recommendation coverage against a category-leading 51.60% for Okta and 48.90% for SailPoint. The benchmark shows BeyondTrust is visible but under-recommended: it appears in 28.77% of qualified observations yet converts only a fraction of that presence into shortlist placement. Its clearest win is a strong positive framing profile and a sharp month-over-month coverage gain of 9.0 points from September 2026. Its clearest weakness is near-total absence from first-position recommendations, with a rank-one rate of just 0.46%. The biggest opportunity sits in converting its existing visibility into top-three placement within the brand recommendation cluster.

Who This Report Is For

This report is written for BeyondTrust marketing, product marketing, and revenue leadership teams who need to understand how the brand is discovered and recommended across AI and search surfaces in the Identity and Access Management category, and where the clearest gaps sit relative to Okta and SailPoint.

Report Card

Executive Summary

BeyondTrust holds the third position in the Identity and Access Management category in October 2026, with a valid recommendation coverage of 19.63% across 219 qualified observations. The benchmark shows the brand is present in 28.77% of qualified observations, which means it is mentioned in roughly one in three category conversations but is only recommended in roughly one in five. That gap between presence and recommendation is the central finding of this report.

The brand recorded 63 total mentions in October 2026, of which 44 were positive, 19 were neutral, and zero were negative. Its net sentiment score of 0.6984 is the highest among the three brands with meaningful recommendation presence, ahead of Okta at 0.6058 and SailPoint at 0.6860. The framing quality around BeyondTrust is strong. The problem is not how AI systems describe the brand. The problem is how often they choose it.

BeyondTrust's strongest cluster is C01, Best Identity Management Solutions and Platforms, which is also the only cluster with sufficient data in the October 2026 benchmark. The brand recorded 43 valid recommendations from 219 qualified observations in this cluster. Its top-three rate stands at 5.94%, and its rank-one rate is 0.46%, meaning the brand is almost never the first recommendation an AI system surfaces.

The strongest platform signal for BeyondTrust is Google AI Overviews, where the brand recorded a 42.19% valid recommendation coverage and a 9.38% top-three rate. The weakest platform signal is Gemini, where BeyondTrust recorded only a 4.00% valid recommendation coverage and no top-three placements. ChatGPT and Copilot also show limited recommendation conversion for the brand, with ChatGPT at 0.00% valid recommendation coverage and Copilot at 8.82%.

The clearest gap is first-position recommendation power. Okta holds a rank-one rate of 24.66% and SailPoint holds 5.94%, while BeyondTrust sits at 0.46%. Even when BeyondTrust enters the shortlist, it is almost never the lead recommendation. That is the single most important pattern in this dataset.

The benchmark also shows that BeyondTrust's October 2026 coverage gain of 9.0 points from September 2026 was flagged as significant, even as its cumulative gain since the July 2026 baseline of 4.4 points remained within normal variation. The brand is moving in the right direction, but from a lower base than the two leaders.

What BeyondTrust Is Winning

Questions This Section Answers

• Where does BeyondTrust actually outperform Okta and SailPoint in AI recommendations?
• Which platform gives BeyondTrust its strongest recommendation coverage?
• What does BeyondTrust's month-over-month coverage gain in October 2026 indicate?

BeyondTrust's clearest win is its sentiment and framing profile. The brand recorded zero negative mentions across 219 qualified observations in October 2026, with 44 positive mentions and 19 neutral mentions. Its net sentiment score of 0.6984 is the highest among the three brands with meaningful recommendation presence in the category. AI systems describe BeyondTrust positively when they mention it.

The brand's second win is its October 2026 month-over-month coverage gain. BeyondTrust moved from 10.6% valid recommendation coverage in September 2026 to 19.63% in October 2026, a 9.0-point increase that the benchmark flags as beyond normal month-to-month variation. This is the sharpest single-month gain among the non-leader brands.

BeyondTrust's third win is its performance on Google AI Overviews. The brand recorded a 42.19% valid recommendation coverage on this platform, with 27 valid recommendations from 64 observations. This is the platform where BeyondTrust comes closest to competing with the two leaders, and it represents a meaningful recommendation pocket.

The brand's fourth win is its presence in the category. BeyondTrust appears in 28.77% of qualified observations, which places it well ahead of the seven tracked brands that recorded zero or near-zero presence. The brand is part of the category conversation in a way that Keyfactor, Semperis, Axiad, RSA Security, Telos Corporation, CLEAR, and Cross Match Technologies are not.

These wins are real but narrow. BeyondTrust is not winning the category. It is winning a small but meaningful position within it, and its framing quality is stronger than its recommendation conversion.

Where BeyondTrust Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does BeyondTrust convert so few of its AI mentions into recommendations?
• How far behind Okta and SailPoint is BeyondTrust on first-position and top-three placement?
• Where is BeyondTrust visible but not recommended across AI platforms?

The clearest gap is recommendation conversion. BeyondTrust is present in 28.77% of qualified observations but receives a valid recommendation in only 19.63%. That means roughly one in three mentions does not convert into a recommendation. Okta, by contrast, is present in 95.00% of qualified observations and receives a valid recommendation in 51.60%, a conversion pattern that reflects much stronger recommendation power.

The second gap is first-position recommendation. BeyondTrust recorded a rank-one rate of 0.46% in October 2026, with a single rank-one recommendation across 219 qualified observations. Okta recorded 54 rank-one recommendations and SailPoint recorded 13. When buyers ask AI systems for the best Identity and Access Management provider, BeyondTrust is almost never the first name returned.

The third gap is top-three placement. BeyondTrust's top-three rate stands at 5.94%, compared to 44.75% for Okta and 28.31% for SailPoint. The brand enters the shortlist in roughly one in seventeen qualified observations. The two leaders enter the shortlist in roughly one in two and one in three respectively. This is the gap that matters most for buyer shortlist eligibility.

The fourth gap is platform coverage. BeyondTrust recorded zero valid recommendations on ChatGPT despite being mentioned in 17.24% of ChatGPT observations. The brand is visible on ChatGPT but not recommended. On Gemini, BeyondTrust recorded a 4.00% valid recommendation coverage and no top-three placements. On Copilot, the brand recorded an 8.82% valid recommendation coverage. These platforms represent a meaningful share of the qualified observation base, and BeyondTrust is under-converting on all of them.

The fifth gap is cluster coverage. The October 2026 benchmark contains qualified observations only in the brand recommendation cluster. The pricing and value cluster and the multi-brand comparison cluster both recorded zero qualified observations. This means the benchmark cannot yet show how BeyondTrust performs when buyers ask about pricing or when they ask AI systems to compare named providers directly. That is a measurement gap, not a BeyondTrust-specific weakness, but it limits what this report can say about the brand's competitive position in those buyer-intent classes.

Biggest Opportunity

Questions This Section Answers

• What is the clearest path for BeyondTrust to turn AI visibility into top-three placement?
• Which prompts should BeyondTrust prioritize to close its recommendation gap?

BeyondTrust's biggest opportunity is converting its existing visibility into top-three placement within the brand recommendation cluster. The brand is already present in 28.77% of qualified observations. It already has strong positive framing. It already has a meaningful recommendation pocket on Google AI Overviews. The gap is that its presence is not converting into shortlist placement at the rate the two leaders achieve.

The clearest path is to focus on the prompts where BeyondTrust is mentioned but not recommended, and to build the owned answer layer, citation support, and comparison-ready content that AI systems need in order to move the brand from a mention to a shortlist entry. The benchmark shows that BeyondTrust's October 2026 coverage gain came from somewhere. The next step is to identify which prompts drove that gain and to replicate the pattern across the prompts where the brand is still visible but unplaced.

Competitive Landscape

Questions This Section Answers

• How does BeyondTrust's top-three rate and average rank compare with Okta and SailPoint?
• Why is BeyondTrust's sentiment score the highest despite its lower recommendation placement?

Okta and SailPoint hold recommendation-stage strength in the Identity and Access Management category, with BeyondTrust as the clear third-place brand and the remaining seven tracked brands recording no valid recommendations in October 2026. The table below shows the full tracked competitor set, sorted by top-three rate.

Average recommended rank covers rank-eligible recommendations only.

BeyondTrust's position in this table shows a brand with meaningful but limited recommendation-stage strength. Its top-three rate of 5.94% places it well behind Okta and SailPoint but clearly ahead of the seven brands that recorded no valid recommendations. Its average recommended rank of 4.22 means that when BeyondTrust does receive a rank-eligible recommendation, it typically appears in the fourth position rather than the first. Its sentiment score of 0.6984 is the highest in the table, which indicates that AI systems frame the brand positively when they mention it, even though they rarely place it at the top of the shortlist.

Prompt Evidence

Google AI Overviews / Best Identity Management Solutions and Platforms Prompt: "What's the best Identity Governance software?" Result: BeyondTrust appeared in the response with a positive mention and was placed within the top ten, contributing to its strongest platform-level recommendation coverage of 42.19%.

ChatGPT / Best Identity Management Solutions and Platforms Prompt: "identity governance and administration" Result: BeyondTrust was mentioned in 17.24% of ChatGPT observations but received zero valid recommendations, indicating the brand is visible on this platform without converting into shortlist placement.

Gemini / Best Identity Management Solutions and Platforms Prompt: "pam tools" Result: BeyondTrust recorded a 4.00% valid recommendation coverage on Gemini with no top-three placements, reflecting the brand's weakest platform-level recommendation signal.

Perplexity / Best Identity Management Solutions and Platforms Prompt: "privileged access management meaning" Result: BeyondTrust recorded a 25.00% valid recommendation coverage on Perplexity with an 8.33% top-three rate, showing a moderate recommendation signal on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts where BeyondTrust is mentioned but not recommended, and identify which competitors are taking the shortlist positions the brand is losing.

Phase 2: Recommendation Readiness Plan Prioritize the prompts and platforms where BeyondTrust has the strongest presence-to-recommendation gap, starting with ChatGPT and Gemini where the brand is visible but under-converting.

Phase 3: Owned Answer Layer Buildout Build comparison-ready, recommendation-shaped content on BeyondTrust's owned properties that AI systems can retrieve and synthesize when forming shortlists.

Phase 4: Citation and Authority Layer Development Strengthen the public evidence layer around BeyondTrust through analyst coverage, review platform presence, and third-party sources that AI systems cite when forming category recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track BeyondTrust's top-three rate, rank-one rate, and platform-level recommendation coverage month over month to measure whether the brand is closing the gap with Okta and SailPoint.

Why This Matters

Questions This Section Answers

• What is the commercial cost of BeyondTrust being mentioned but not shortlisted in AI recommendations?
• What does BeyondTrust need to fix to convert AI visibility into buyer shortlist placement?

AI presence alone is not enough. BeyondTrust is mentioned in nearly one in three qualified observations, but it is only recommended in roughly one in five. The brand is part of the conversation but not part of the shortlist at the rate its visibility would suggest. That gap is where buyer choice is lost.

The next move is targeted correction of the prompt, page, and citation layers that shape how AI systems form recommendations. BeyondTrust's framing is strong. Its visibility is meaningful. What it needs now is recommendation conversion, and that requires building the owned answer layer and citation support that AI systems use when they decide which brands to place in the top three.

Core Metrics

Sentiment Score

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

For BeyondTrust in October 2026, this calculation produces a score of 0.6984, based on 44 positive mentions, 19 neutral mentions, and zero negative mentions across 63 total mentions.

This matters because unclassified mention counts are misleading. A brand that appears in 63 observations sounds visible, but that number does not tell you whether AI systems are recommending the brand, referencing it neutrally, or warning buyers away from it. 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. BeyondTrust's 63 mentions include 19 neutral references that did not convert into recommendations. Those mentions are not the same as the 44 positive mentions that did. Classified sentiment is required before interpreting AI visibility, because it separates the mentions that carry recommendation weight from the mentions that do not.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of BeyondTrust's AI visibility and recommendation performance in the Identity and Access Management category for October 2026. It is not a client implementation case study and does not reflect any CiteWorks Studio engagement with BeyondTrust.
2. The reporting window is October 2026, with comparison data drawn from the July 2026 baseline and the intervening months of August 2026 and September 2026 where available.
3. Six AI and search platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six platforms recorded at least one qualified observation in October 2026.
4. The October 2026 benchmark began with 800 prompt-surface observations and produced 219 qualified observations after relevance and eligibility qualification. Brand-level percentages use the qualified observation count as the public denominator.
5. Ten companies were tracked in the Identity and Access Management category: Okta, SailPoint, BeyondTrust, Keyfactor, Axiad, Semperis, RSA Security, Telos Corporation, CLEAR (by Alclear, LLC), and Cross Match Technologies.
6. Three public high-intent clusters were defined for the category. Only cluster C01, Best Identity Management Solutions and Platforms, recorded sufficient qualified observations in October 2026. Clusters C02 and C03 recorded no qualified observations.
7. Stage 0 extraction retained the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources at the prompt level.
8. A mention is counted when a tracked brand appears in an AI or search surface response within a qualified observation, regardless of whether the brand is recommended.
9. A valid recommendation is counted when a tracked brand receives a positive recommendation with a rank position between one and ten within a qualified observation. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Top-three rate is the share of qualified observations in which the brand appeared among the first three recommendations. Rank-one rate is the share of qualified observations in which the brand was the first recommendation. Average recommended rank covers rank-eligible recommendations only.
11. The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.
12. Small-count movement should not be over-read. BeyondTrust's rank-one count of one recommendation and its platform-level counts on ChatGPT, Copilot, Gemini, and Perplexity are based on small samples and should be interpreted as directional signals rather than stable trends.

See How AI Is Recommending Your Brand

The public benchmark shows where BeyondTrust stands in the Identity and Access Management category. A company-level AI visibility audit shows why. It maps the specific prompts where BeyondTrust is mentioned but not recommended, identifies which competitors are taking the shortlist positions the brand is losing, and builds a prioritized plan for closing the recommendation gap.