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

Answer Capsule

CLEAR (by Alclear, LLC) has no measurable presence in AI-generated recommendations for the Identity and Access Management category as of September 2026. The brand was not mentioned in any of the 255 qualified observations across six AI platforms, and it received zero valid recommendations across the entire July-to-September 2026 series. The clearest weakness is total absence from the public evidence layer that AI systems use to form category answers. The clearest opportunity is determining whether high-intent identity management prompts warrant CLEAR's inclusion, then building the citation and source footprint needed to enter recommendation conversations.

Who This Report Is For

This report is for brand, product marketing, and demand generation leaders at CLEAR (by Alclear, LLC) responsible for understanding how AI-driven discovery is shaping vendor selection in the identity and access management market.

Report Card

Executive Summary

CLEAR (by Alclear, LLC) recorded zero mentions and zero valid recommendations across all 255 qualified observations in September 2026. This absence is not a one-month anomaly. The brand held no presence in July 2026, August 2026, or September 2026, making it one of five tracked brands with no recommendation presence in any month of the series.

The Identity and Access Management category shows a two-brand leadership tier. Okta led with 38.0% valid recommendation coverage, followed by SailPoint at 34.1%. BeyondTrust held a distant third position at 10.6%. The remaining tracked brands, including CLEAR, registered at or near zero across all measured recommendation signals.

CLEAR's absence spans every platform tracked in the benchmark. The brand did not appear in ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, or AI Mode responses. Its raw mention presence rate was 0.00%, its valid recommendation coverage was 0.00%, and its net sentiment score was 0.00, reflecting no mentions to classify.

The strongest cluster in the category, Best Identity Management Solutions & Platforms, accounted for all 255 qualified observations. CLEAR had no presence in this cluster. The weakest signal for the brand is not negative framing but total invisibility: AI systems are not retrieving, citing, or synthesizing any public evidence that would place CLEAR in identity management recommendation conversations.

What CLEAR (by Alclear, LLC) Is Winning

The September 2026 benchmark data does not support any evidence-backed wins for CLEAR (by Alclear, LLC). The brand recorded zero mentions, zero valid recommendations, zero top-three placements, and zero rank-one placements across all tracked platforms.

The only neutral observation is the absence of negative framing. CLEAR received no negative mentions in any month of the series, but this reflects a lack of presence rather than a positive positioning signal. With no public evidence layer surfacing the brand in identity management contexts, there are no measured strengths to report from this dataset.

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

CLEAR's most significant gap is total absence from the AI recommendation landscape in Identity and Access Management. The brand was not mentioned in any qualified observation, meaning AI systems are not surfacing CLEAR even as a contextual reference, comparison anchor, or alternative option.

The competitive displacement is stark. Okta appeared in 94.1% of qualified observations and received 97 valid recommendations. SailPoint appeared in 73.7% of observations with 87 valid recommendations. Even BeyondTrust, the distant third-place brand, appeared in 27.5% of observations with 27 valid recommendations. CLEAR appeared in none.

The gap is not limited to recommendation conversion. CLEAR lacks raw mention presence, which is the foundational layer of AI visibility. Brands like Keyfactor and RSA Security, which also received zero valid recommendations in September, at least registered neutral mentions that kept them in the information environment. CLEAR did not achieve even that baseline.

The platform breakdown shows no surface where CLEAR holds any foothold. This suggests the brand's public evidence layer does not currently contain the identity management-specific content, citations, or authority signals that AI systems retrieve when forming category answers.

Biggest Opportunity

Questions This Section Answers

• What should CLEAR determine before starting any AI visibility work?
• If CLEAR belongs in identity management conversations, how should it build the evidence layer AI systems can retrieve?

The clearest opportunity for CLEAR (by Alclear, LLC) is determining whether the brand legitimately belongs in Identity and Access Management recommendation conversations, and if so, building the public evidence layer to support that inclusion.

The benchmark cannot answer whether CLEAR should be recommended for identity management prompts. What the data shows is that no tracked prompt surfaced the brand, which means no AI system found public sources positioning CLEAR as a relevant option. Before any visibility work begins, CLEAR needs a company-level audit to identify which high-intent prompts, if any, should reasonably include the brand, and which competitors are currently capturing those recommendations.

If the brand's identity verification and access capabilities warrant inclusion in specific identity management conversations, the priority is building the citation architecture and source footprint that AI systems can retrieve. This means developing owned content that clearly articulates CLEAR's identity and access management relevance, then supporting it with third-party citations and authority signals that make the brand discoverable at the recommendation stage.

Competitive Landscape

Okta and SailPoint hold dominant recommendation-stage strength in the Identity and Access Management category, with BeyondTrust occupying a distant third position. CLEAR (by Alclear, LLC) sits outside the measurable competitive set entirely, with no presence in any tracked recommendation signal.

Average recommended rank covers rank-eligible recommendations only.

The table shows CLEAR tied with four other brands at zero recommendation presence, but unlike Keyfactor and RSA Security, CLEAR did not register even a single neutral mention. The brand is not part of the competitive conversation that AI systems are shaping for identity management buyers.

Prompt Evidence

AI Overviews / Best Identity Management Solutions & Platforms Prompt: "best identity management solutions" Result: CLEAR was not mentioned. Okta and SailPoint dominated the recommendation set, with BeyondTrust appearing as a third option in a portion of responses.

ChatGPT / Best Identity Management Solutions & Platforms Prompt: "which identity management platform should we choose" Result: CLEAR had no presence. The response recommended Okta or SailPoint depending on use case, with no reference to CLEAR as an alternative.

Gemini / Best Identity Management Solutions & Platforms Prompt: "top identity and access management vendors" Result: CLEAR was absent from the answer. Okta received the strongest recommendation signal, appearing first in 23.3% of Gemini responses where it was present.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Run a company-level audit to identify which high-intent identity management prompts, if any, should surface CLEAR, and which competitors currently capture those recommendations.

Phase 2: Recommendation Readiness Plan Determine whether CLEAR's identity verification and access capabilities map to the category prompts where the brand could legitimately compete, and prioritize the highest-intent clusters.

Phase 3: Owned Answer Layer Buildout Develop owned content that clearly articulates CLEAR's relevance to identity and access management use cases, structured so AI systems can retrieve and synthesize it accurately.

Phase 4: Citation / Authority Layer Development Build the third-party citation and source footprint needed to support CLEAR's positioning, focusing on the public evidence layer that AI systems draw from when forming recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Establish monthly tracking to measure whether CLEAR moves from zero presence into mention and recommendation territory, and to identify which platforms respond first to the new evidence layer.

Why This Matters

For buyers researching identity and access management solutions through AI platforms, CLEAR (by Alclear, LLC) does not currently exist as an option. When AI systems answer high-intent questions about which identity management provider to choose, they recommend Okta and SailPoint, mention BeyondTrust as a third option, and never surface CLEAR. Every recommendation conversation that happens without CLEAR's name reinforces the competitive structure that excludes the brand.

AI presence alone is not enough, but zero presence is a harder problem. The next move for CLEAR is not broad visibility work. It is a targeted assessment of whether the brand belongs in these conversations, followed by the prompt, page, and citation corrections needed to enter the recommendation set where it does.

Core Metrics

Sentiment Score

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

For CLEAR (by Alclear, LLC), the sentiment score is 0.00 because the brand received zero mentions across all 255 qualified observations. This is not a neutral positioning signal. It is a measurement artifact of total absence.

This distinction matters for how AI visibility should be interpreted. Unclassified mention counts are misleading because they treat every appearance as equal value. Share of voice is a diagnostic metric, not a business KPI, and for a brand with no voice, it signals a discovery problem rather than a framing problem. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, but CLEAR's challenge precedes sentiment classification entirely.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of CLEAR (by Alclear, LLC) in the Identity and Access Management category, produced from the LLM Authority Index AI Market Discovery Index and CiteWorks Studio interpretation of that data. It is not a client implementation case study.
2. The reporting window is September 2026, with comparative context from July 2026 and August 2026 where available.
3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The benchmark began with 800 prompt-surface observations. After relevance and eligibility qualification, 255 observations formed the public denominator for September 2026 brand-level metrics.
5. Ten brands were tracked in the competitor universe: Axiad, BeyondTrust, CLEAR (by Alclear, LLC), Cross Match Technologies, Keyfactor, Okta, RSA Security, SailPoint, Semperis, and Telos Corporation.
6. All 255 qualified observations in September 2026 fell into the Best Identity Management Solutions & Platforms cluster, which corresponds to the brand recommendation buyer-intent class.
7. Stage 0 extraction captured prompt-level data including query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any appearance of a tracked brand in an AI answer, regardless of whether the brand was recommended.
9. A valid recommendation is defined as a positive recommendation of the brand within the answer, distinct from a neutral reference, cautionary mention, or comparison anchor.
10. Top-three rate measures the share of qualified observations where the brand appeared among the first three recommendations. Rank-one rate measures the share where the brand was the first recommendation.
11. The three-month series is too short to establish trends. CLEAR's zero presence across all three months is notable, but small-count movements for other brands should not be over-read.
12. Limitations: The public benchmark does not measure market share, attributable sales, every possible AI response, or causality from metric movement alone. Source presence is evidence about the information environment, not proof that a source caused a recommendation. The current dataset contains no qualified observations in pricing and value or multi-brand comparison classes, so it cannot answer those commercial questions.

Get Your AI Visibility Audit

The public benchmark shows where CLEAR (by Alclear, LLC) stands in AI-generated recommendations for Identity and Access Management, but it cannot identify which prompts, competitors, or sources are driving the brand's absence. A company-level AI visibility audit maps those patterns into a prioritized strategy for entering the recommendation conversation.