CLEAR (by Alclear, LLC) AI Visibility Market Strategy Report - Identity and Access Management

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • CLEAR had no mentions or valid recommendations across 219 qualified observations in October 2026.
  • Okta and SailPoint led the category, while CLEAR remained outside the recommendation set.
  • The only measured buyer-intent cluster was Best Identity Management Solutions & Platforms, and CLEAR did not appear.
  • The main opportunity is building enough category-relevant evidence for AI systems to surface CLEAR in buyer questions.

Answer Capsule

CLEAR (by Alclear, LLC) recorded no AI recommendation presence in the Identity and Access Management category in October 2026. Across 219 qualified benchmark observations, the brand registered a 0.00% raw mention presence rate, 0.00% valid recommendation coverage, and no top-three or rank-one placements. The clearest weakness is total absence from the recommendation set, while the clearest opportunity is establishing any baseline presence in the category's single measured buyer-intent cluster.

Who This Report Is For

This report is for CLEAR (by Alclear, LLC) leadership, category strategists, and marketing teams evaluating where the brand stands in AI-generated recommendations for Identity and Access Management, and what it would take to enter the buyer shortlist.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

CLEAR (by Alclear, LLC)

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 data (Best Identity Management Solutions & Platforms)

AI observations analyzed

219 qualified observations

Competitors tracked

9

Executive Summary

CLEAR (by Alclear, LLC) holds no measurable position in AI-generated recommendations for Identity and Access Management as of October 2026. The brand recorded zero mentions, zero valid recommendations, zero top-three placements, and zero rank-one placements across all 219 qualified benchmark observations. Its raw mention presence rate was 0.00%, and its valid recommendation coverage was 0.00%.

This is not a case of visibility without recommendation conversion. The brand did not appear in the qualified observation set at all. Across the six tracked AI platforms (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode), CLEAR registered no presence on any surface.

The category's recommendation structure is concentrated at the top. Okta led with 51.6% valid recommendation coverage, followed by SailPoint at 48.9% and BeyondTrust at 19.6%. Seven of the ten tracked brands, including CLEAR, received no valid recommendations in October 2026.

The single measured buyer-intent cluster, Best Identity Management Solutions & Platforms, captured all 219 qualified observations. CLEAR did not appear in this cluster. The benchmark's other two clusters, Identity Management Platform Comparisons and Identity Management Pricing & Cost Evaluation, carried no qualified observations in the current public series.

The clearest gap is categorical absence. CLEAR is not being mentioned, referenced, or recommended in any AI-generated response within the Identity and Access Management discovery set. The clearest opportunity is establishing a baseline presence in the category's primary recommendation cluster, where buyer questions about which IAM provider to choose are being answered without CLEAR in the consideration set.

What CLEAR (by Alclear, LLC) Is Winning

Questions This Section Answers

  • Did CLEAR record any AI recommendations or placements in Identity and Access Management in October 2026?
  • Why is CLEAR's net sentiment score 0.0000?

The uploaded data does not show any measurable wins for CLEAR (by Alclear, LLC) in the October 2026 Identity and Access Management benchmark. The brand recorded no mentions, no recommendations, no top-three placements, and no rank-one placements across the 219 qualified observations.

No positive, neutral, or negative sentiment classifications were recorded because no mentions occurred. The brand's net sentiment score is 0.0000, reflecting the absence of any classified mention rather than a balanced sentiment profile.

This is a plain finding. CLEAR has no measurable AI recommendation presence in this category as of the reporting month.

Where CLEAR (by Alclear, LLC) Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Is CLEAR's absence from AI recommendations a competition problem or a visibility problem?
  • Which competitors are being recommended while CLEAR is not mentioned?
  • What does CLEAR need before it can compete for AI recommendation placement in the category?

CLEAR (by Alclear, LLC) is absent from the AI recommendation set entirely. The brand did not appear in any of the 219 qualified observations, on any of the six tracked platforms, in the category's single measured buyer-intent cluster.

The gap is not displacement by a specific competitor. It is non-participation. When AI systems answer questions about which Identity and Access Management provider to choose, CLEAR is not part of the response. Okta, SailPoint, and BeyondTrust are being recommended. CLEAR is not being mentioned at all.

The benchmark's qualified surface breadth covered six platform families: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. CLEAR registered zero presence on each. This is consistent across the full platform set, not isolated to one surface.

The category's recommendation concentration is high. Three brands hold measurable recommendation coverage, and seven do not. CLEAR sits in the zero-coverage group alongside Axiad, Semperis, Telos Corporation, and Cross Match Technologies, all of which also recorded 0.00% valid recommendation coverage in October 2026. Keyfactor and RSA Security recorded minimal presence (2 mentions and 1 mention respectively) but no valid recommendations.

The gap for CLEAR is foundational. Before the brand can compete for recommendation placement, it needs to enter the mention set. Before it can enter the mention set, AI systems need retrievable, category-relevant evidence about the brand's Identity and Access Management capabilities.

Biggest Opportunity

Questions This Section Answers

  • Which buyer-intent cluster should CLEAR target first to establish AI visibility?
  • What kind of evidence layer does CLEAR need to become part of AI-generated answers?

The single clearest opportunity for CLEAR (by Alclear, LLC) is establishing baseline presence in the Best Identity Management Solutions & Platforms cluster, the only buyer-intent cluster with qualified observations in the October 2026 benchmark.

This cluster captures queries asking which IAM provider to choose or what the best option is. It is the consideration-stage entry point for AI-led discovery in this category. CLEAR currently has no presence in this cluster. The opportunity is to become part of the answer set for these questions.

The path from zero presence to recommendation-stage visibility requires building a retrievable public evidence layer that AI systems can surface when answering category questions. This means category-relevant content, citation-supported authority signals, and source footprint development that positions CLEAR as a recognizable option in Identity and Access Management discovery.

Competitive Landscape

Questions This Section Answers

  • Which brands hold recommendation-stage strength in Identity and Access Management?
  • How does CLEAR's AI visibility compare with the other nine tracked brands?

Okta and SailPoint hold recommendation-stage strength in the Identity and Access Management category, with BeyondTrust as a distant third. CLEAR (by Alclear, LLC) sits outside the recommendation set entirely, with no measurable presence across any tracked platform or cluster.

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

RSA Security

0.00%

0.00%

N/A

0.0000

CLEAR (by Alclear, LLC)

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

Telos Corporation

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.

CLEAR (by Alclear, LLC) recorded no rank-eligible recommendations in October 2026, placing it in the zero-coverage group alongside five other tracked brands. The table shows a clear tier structure: two brands with strong recommendation coverage, one with moderate coverage, and seven with none.

Prompt Evidence

Questions This Section Answers

  • Did CLEAR appear in AI responses to high-intent IAM prompts?
  • Which platforms and prompts surfaced no mention of CLEAR in the benchmark?

[ChatGPT] / [Best Identity Management Solutions & Platforms] Prompt: "What's the best Identity Governance software?" Result: CLEAR (by Alclear, LLC) was not mentioned in the response.

[Google AI Overviews] / [Best Identity Management Solutions & Platforms] Prompt: "identity and access management solutions" Result: CLEAR (by Alclear, LLC) did not appear in the AI-generated overview.

[Perplexity] / [Best Identity Management Solutions & Platforms] Prompt: "identity governance and administration" Result: CLEAR (by Alclear, LLC) was absent from the recommendation set.

[Copilot] / [Best Identity Management Solutions & Platforms] Prompt: "pam tools" Result: CLEAR (by Alclear, LLC) was not included in the response.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts, platforms, and competitor responses where CLEAR is absent, establishing a baseline measurement of the brand's current AI visibility footprint in Identity and Access Management.

Phase 2: Recommendation Readiness Plan Identify the category attributes, use cases, and buyer questions where CLEAR has legitimate capability claims, and define the evidence types AI systems would need to surface the brand.

Phase 3: Owned Answer Layer Buildout Develop category-relevant content on CLEAR's owned properties that directly addresses the high-intent questions currently being answered without the brand.

Phase 4: Citation / Authority Layer Development Build the external source footprint, including analyst references, industry publications, and structured data, that AI systems retrieve when forming category recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track CLEAR's movement from zero presence toward mention presence, then toward valid recommendation coverage, using the same benchmark methodology.

Why This Matters

Questions This Section Answers

  • What happens to CLEAR's consideration set when buyers ask AI systems which IAM provider to choose?
  • Why is CLEAR's problem a presence issue rather than a ranking issue?

AI systems are answering buyer questions about Identity and Access Management without CLEAR in the response. When a buyer asks which IAM provider to choose, CLEAR is not part of the consideration set. This is not a ranking problem. It is a presence problem.

The brands that appear in AI-generated recommendations are the brands buyers see when they use AI-led discovery. Okta and SailPoint are being recommended at scale. CLEAR is not being mentioned. Closing this gap requires building the prompt, page, and citation layers that make the brand retrievable and recommendable in the category.

Core Metrics

Metric

Value

Mentions

0

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

0.00%

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

None (no presence in any cluster)

Strongest platform by recommendation behavior

None (no presence on any platform)

Sentiment Score

Questions This Section Answers

  • Why does an unclassified mention count distort AI sentiment measurement?
  • What does a 0.0000 sentiment score mean when a brand has zero mentions?

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

For CLEAR (by Alclear, LLC), the sentiment score is 0.0000 because the brand recorded zero mentions across all 219 qualified observations. This is not a neutral sentiment profile. It is the absence of any classified mention.

This distinction matters. Unclassified mention counts can be misleading because they treat all appearances as equivalent. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not the same signal. Counting all mentions as wins is bad measurement.

For CLEAR, the issue is more fundamental. There are no mentions to classify. The brand is not part of the AI-generated response set for Identity and Access Management. Before sentiment can be measured, presence must be established.

Sentiment by Platform

Questions This Section Answers

  • Did CLEAR register any presence on ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, or AI Mode?
  • What does the absence of mentions across all six tracked platforms indicate about CLEAR's AI visibility?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

0

0

0

0

N/A

No public presence in this packet

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 CLEAR (by Alclear, LLC) within the Identity and Access Management category, using data from the LLM Authority Index AI Visibility Market Discovery Index for October 2026.
  2. The reporting month is October 2026, with comparison data from the July 2026 baseline where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The benchmark began with 800 prompt-surface observations and produced 219 qualified observations after relevance and eligibility filtering.
  5. The competitor universe included ten tracked brands: Okta, SailPoint, BeyondTrust, Keyfactor, Axiad, Semperis, RSA Security, Telos Corporation, CLEAR (by Alclear, LLC), and Cross Match Technologies.
  6. One buyer-intent cluster carried qualified observations in October 2026: Best Identity Management Solutions & Platforms (consideration stage). The Identity Management Platform Comparisons and Identity Management Pricing & Cost Evaluation clusters carried no qualified observations in the public series.
  7. A mention is defined as any appearance of the brand in an AI-generated response within the qualified observation set, regardless of recommendation status.
  8. A valid recommendation is defined as a positive recommendation with rank 1-10 placement, as marked by the benchmark's classification system.
  9. Raw mention presence rate is the share of qualified observations in which the brand was mentioned. Valid recommendation coverage is the share of qualified observations in which the brand received a valid recommendation.
  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.
  11. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are marked N/A.
  12. The benchmark does not measure market share, attributable sales, organic-search ranking, or causality from metric movement alone. Source presence is evidence about the information environment and is not automatically proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

CLEAR (by Alclear, LLC) is not currently part of the AI-generated recommendation set for Identity and Access Management. The benchmark shows where the brand stands. A company-level AI visibility audit shows why, mapping the specific prompts, competitors, and sources shaping AI answers in the category.

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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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