RSA Security AI Visibility Market Strategy Report - Identity and Access Management

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • RSA Security had one neutral mention but no valid recommendations across 219 qualified observations.
  • Okta, SailPoint, and BeyondTrust captured nearly all recommendation-stage attention in the category.
  • RSA Security recorded zero top-three or rank-one placements and no platform-level recommendation presence beyond Copilot context.
  • The clearest opportunity is to turn the existing neutral reference into recommendation eligibility in the main buyer-intent cluster.

Answer Capsule

RSA Security holds no measurable recommendation power in AI search visibility for the Identity and Access Management category as of October 2026. The LLM Authority Index benchmark recorded a single neutral mention for RSA Security across 219 qualified observations, producing a raw mention presence rate of 0.46% and a valid recommendation coverage of 0.00%. The brand was not recommended in any position, on any tracked platform, in the July-to-October 2026 series. The clearest opportunity is converting neutral reference into recommendation eligibility inside the category's only measured buyer-intent cluster.

Who This Report Is For

This report is for RSA Security marketing, product marketing, and communications leaders who need to understand why the brand is effectively absent from AI-generated shortlists in the Identity and Access Management category, and what the public evidence layer shows about where that absence begins.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

RSA Security

Category / market studied

Identity and Access Management

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1 with sufficient coverage (Best Identity Management Solutions & Platforms)

AI observations analyzed

219 qualified observations from 800 prompt-surface observations

Competitors tracked

10

Executive Summary

RSA Security is present in the Identity and Access Management AI recommendation landscape only as a single neutral reference. Across 219 qualified observations in October 2026, the benchmark recorded one mention, zero valid recommendations, zero top-three placements, and zero rank-one placements. Raw mention presence rate was 0.46% and valid recommendation coverage was 0.00%.

The gap between presence and recommendation is total for RSA Security. The brand did not convert its single mention into a valid recommendation, and it did not appear in the top three or at rank one in any qualified observation. This is not a case of visibility without recommendation conversion at scale; it is a case of near-total absence from the recommendation layer.

The category itself is highly concentrated. Okta led October 2026 with 51.6% valid recommendation coverage, SailPoint followed at 48.9%, and BeyondTrust held third at 19.6%. Those three brands absorbed the recommendation-stage attention in the category. The remaining seven tracked brands, including RSA Security, recorded 0.00% valid recommendation coverage.

RSA Security's single mention was neutral in tone, producing a net sentiment score of 0.0000. With no positive or negative framing recorded, the brand's framing quality cannot be assessed from this dataset. The mention did not carry recommendation weight.

The strongest cluster in the benchmark, Best Identity Management Solutions & Platforms, carried all 219 qualified observations. RSA Security recorded no recommendation presence in that cluster. The two other clusters, Identity Management Platform Comparisons and Identity Management Pricing & Cost Evaluation, produced no qualified observations in October 2026, so no recommendation signal exists for RSA Security in comparison or pricing contexts either.

The clearest platform-level gap is total. RSA Security recorded zero mentions on ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. Its single neutral mention registered on Copilot, where it appeared as context rather than as a recommendation.

The clearest opportunity is narrow but real: RSA Security holds one neutral reference in the qualified set, which means the brand is not invisible to AI systems. The task is converting that reference into recommendation eligibility inside the category's dominant buyer-intent cluster.

What RSA Security Is Winning

RSA Security has no evidence-backed wins in the October 2026 benchmark. The brand recorded zero valid recommendations, zero top-three placements, zero rank-one placements, and zero positive mentions across 219 qualified observations.

The only measurable signal is a single neutral mention, which produced a raw mention presence rate of 0.46%. That mention did not convert into a recommendation and did not produce a positive or negative framing classification. It is a reference, not a win.

No negative framing was recorded for RSA Security in October 2026. With only one mention and no negative sentiment, the brand avoided cautionary or critical framing in the qualified set. That is a neutral observation, not a competitive advantage, given the near-total absence of recommendation presence.

Where RSA Security Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How far behind Okta, SailPoint, and BeyondTrust is RSA Security in valid recommendations and top-three placements?
  • Why did RSA Security's single neutral mention not convert into a valid recommendation?

RSA Security is absent from the recommendation layer of the Identity and Access Management category. The benchmark recorded zero valid recommendations for the brand across 219 qualified observations, while Okta recorded 113, SailPoint recorded 107, and BeyondTrust recorded 43. The gap is not marginal; it is categorical.

The brand is also absent from the top-three and rank-one positions. Okta reached the top three in 44.75% of qualified observations and rank one in 24.66%. SailPoint reached the top three in 28.31% and rank one in 5.94%. BeyondTrust reached the top three in 5.94% and rank one in 0.46%. RSA Security recorded 0.00% on both measures.

Platform-level absence compounds the gap. RSA Security recorded zero mentions on ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. Competitors including Okta, SailPoint, and BeyondTrust recorded recommendation presence across multiple platforms, with Okta reaching 70.31% valid recommendation coverage on AI Overviews and 66.67% on Perplexity.

The single neutral mention RSA Security received did not convert into a valid recommendation. In the benchmark's classification, a neutral reference is not a recommendation. The brand was mentioned, but it was not shortlisted, ranked, or recommended. That distinction separates presence from recommendation power.

The category's only measured buyer-intent cluster, Best Identity Management Solutions & Platforms, carried all 219 qualified observations. RSA Security recorded no recommendation presence in that cluster. The two clusters that produced no qualified observations in October 2026 leave no comparison or pricing recommendation signal for RSA Security in this benchmark.

Biggest Opportunity

Questions This Section Answers

  • What would it take for RSA Security to move from a neutral reference to a recommendation in the Best Identity Management Solutions & Platforms cluster?
  • Why is the Best Identity Management Solutions & Platforms cluster the most important one for RSA Security's AI visibility?

RSA Security's clearest opportunity is converting its single neutral reference into a valid recommendation inside the Best Identity Management Solutions & Platforms cluster. That cluster is the only measured buyer-intent cluster in the benchmark, and it is where AI systems form the category shortlist.

The brand is not invisible. It appeared once in the qualified set. The task is moving from reference to recommendation by strengthening the public evidence layer that AI systems retrieve when forming shortlists. That means making RSA Security's category positioning, product differentiators, and third-party validation easier for AI systems to find, parse, and synthesize into a recommendation.

The opportunity is narrow because the brand's current recommendation footprint is effectively zero. But the single neutral mention shows the brand is not entirely outside the category's information environment. The path forward is building recommendation eligibility inside the cluster where the category's shortlist is formed.

Competitive Landscape

Questions This Section Answers

  • How concentrated is recommendation power among the top three brands in the Identity and Access Management category?
  • What does the top-three and rank-one table show about RSA Security's position versus its competitors?

Okta and SailPoint hold recommendation-stage strength in the Identity and Access Management category, with BeyondTrust as a distant third. RSA Security sits outside the recommendation tier entirely, with no valid recommendations and no top-three or rank-one placements in October 2026.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Okta

44.75%

24.66%

1.73

0.6058

SailPoint

28.31%

5.94%

2.99

0.6860

BeyondTrust

5.94%

0.46%

4.22

0.6984

Keyfactor

0.00%

0.00%

N/A

0.0000

Axiad

0.00%

0.00%

N/A

0.0000

Semperis

0.00%

0.00%

N/A

0.0000

RSA Security

0.00%

0.00%

N/A

0.0000

Telos Corporation

0.00%

0.00%

N/A

0.0000

CLEAR (by Alclear, LLC)

0.00%

0.00%

N/A

0.0000

Cross Match Technologies

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

RSA Security's position in the table reflects the benchmark's finding that the brand received no rank-eligible recommendations in October 2026. Its single neutral mention did not produce a top-three or rank-one placement, and its net sentiment score of 0.0000 reflects the absence of positive or negative framing in the qualified set. Seven of the ten tracked brands recorded 0.00% on both Top-3 and Rank-1 rates, which shows how tightly recommendation power is concentrated at the top of this category.

Prompt Evidence

ChatGPT / Best Identity Management Solutions & Platforms Prompt: "What's the best Identity Governance software?" Result: RSA Security was not mentioned or recommended. Okta and SailPoint dominated the recommendation response.

Copilot / Best Identity Management Solutions & Platforms Prompt: "identity and access management solutions" Result: RSA Security appeared as neutral context with no recommendation placement. The response surfaced Okta, SailPoint, and BeyondTrust as recommendation candidates.

AI Overviews / Best Identity Management Solutions & Platforms Prompt: "identity governance and administration" Result: RSA Security was absent from the recommendation set. Okta recorded 70.31% valid recommendation coverage on this platform.

Perplexity / Best Identity Management Solutions & Platforms Prompt: "pam tools" Result: RSA Security was not recommended. Okta and SailPoint held the strongest recommendation positions on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt in the Best Identity Management Solutions & Platforms cluster where RSA Security is absent, and identify which competitors are recommended in its place.

Phase 2: Recommendation Readiness Plan Define the category positioning, differentiators, and proof points RSA Security needs to become recommendation-eligible inside the cluster where AI systems form the shortlist.

Phase 3: Owned Answer Layer Buildout Build RSA Security-owned pages that directly answer the category's high-intent prompts, structured so AI systems can retrieve and synthesize the brand's positioning into recommendation responses.

Phase 4: Citation / Authority Layer Development Strengthen the third-party sources AI systems cite in this category, including analyst coverage, comparison pages, and industry publications that shape recommendation narratives. These sources form the public evidence layer AI systems draw on when they decide which brands to name.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track RSA Security's movement from neutral reference to valid recommendation across ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode on a monthly basis.

Why This Matters

AI systems are forming the Identity and Access Management buyer shortlist before a buyer ever visits a vendor website. In October 2026, Okta, SailPoint, and BeyondTrust absorbed the recommendation-stage attention in the category, while RSA Security and six other tracked brands recorded zero valid recommendations. The benchmark shows that presence alone is not enough; a neutral mention does not produce a recommendation, and a single reference does not place a brand on the shortlist.

The next move for RSA Security is targeted correction of the prompt, page, and citation layers that shape AI-generated recommendations. The brand has one neutral reference in the qualified set. Converting that reference into recommendation eligibility requires building the public evidence layer AI systems retrieve when forming shortlists, and tracking whether those changes move the brand from mention to recommendation.

Core Metrics

Metric

Value

Mentions

1

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

1

Negative mentions

0

Raw mention presence rate

0.46%

Valid recommendation coverage

0.00%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.0000

Strongest cluster by recommendation behavior

Best Identity Management Solutions & Platforms (no recommendation presence)

Strongest platform by recommendation behavior

Copilot (single neutral mention, no recommendation placement)

Sentiment Score

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

For RSA Security in October 2026: (0 × 1 + 1 × 0 + 0 × -1) / 1 = 0.0000.

The score reflects a single neutral mention with no positive or negative framing. It does not indicate a positive recommendation signal. A neutral reference is not a recommendation, and it does not carry the same weight as a positive recommendation in the benchmark's classification.

Unclassified mention counts are misleading because they treat a neutral reference, a positive recommendation, a cautionary mention, and a competitor-displaced mention as equivalent. They are not. Share of voice is a diagnostic metric, not a business KPI. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because a brand with one neutral mention and a brand with one positive recommendation are in fundamentally different positions.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

1

0

1

0

0.0000

Present as context, not recommendation

Gemini

0

0

0

0

N/A

No public presence in this packet

Perplexity

0

0

0

0

N/A

No public presence in this packet

AI Overviews

0

0

0

0

N/A

No public presence in this packet

AI Mode

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of RSA Security's AI recommendation visibility in the Identity and Access Management category, produced from the LLM Authority Index AI Visibility Market Discovery Index for October 2026.
  2. The reporting window is October 2026, with comparison points from the July 2026 baseline and the August and September 2026 interim measurements.
  3. Six AI/search platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The October 2026 benchmark began with 800 prompt-surface observations and produced 219 qualified observations after relevance and eligibility qualification.
  5. The competitor universe consists of 10 tracked brands: Okta, SailPoint, BeyondTrust, Keyfactor, Axiad, Semperis, RSA Security, Telos Corporation, CLEAR (by Alclear, LLC), and Cross Match Technologies.
  6. One public high-intent cluster carried sufficient coverage in October 2026: Best Identity Management Solutions & Platforms. Two additional clusters, Identity Management Platform Comparisons and Identity Management Pricing & Cost Evaluation, produced no qualified observations.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed. Source presence is evidence about the information environment and is not automatically proof that a source caused a recommendation.
  8. A mention is counted when a tracked brand appears in an AI response within a qualified observation, regardless of recommendation status.
  9. A valid recommendation is counted when the dataset explicitly marks the brand as recommended or shortlisted. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Brand-level percentages use the 219 qualified observations as the public denominator, not the 800 raw prompt-surface observations.
  11. Average recommended rank covers rank-eligible recommendations only. RSA Security recorded no rank-eligible recommendations in October 2026, so its average recommended rank is reported as N/A.
  12. Limitations: the public benchmark cannot identify the specific prompts, competitors, or sources driving an individual brand's result. The benchmark measures how tracked brands appear and are recommended across qualified AI/search surface responses; it does not measure market share, attributable sales, organic-search ranking, or causality from a metric movement alone. RSA Security's single mention produced a small-count base, so month-to-month movement should not be over-read.

See How AI Is Recommending Your Brand

The public benchmark shows where RSA Security stands in the Identity and Access Management category. A company-level AI visibility audit shows why. It maps the prompts where RSA Security is absent, the competitors AI systems recommend in its place, and the sources shaping those answers, then turns those findings into a prioritized recommendation-readiness plan.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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