CiteWorks Studio

Semperis AI Market Strategy Report - Identity and Access Management

Mark HuntleyBy Mark HuntleyFounder and CEO
8 minutes read

Key Takeaways

  • Semperis appeared in 1 of 255 qualified observations, resulting in a 0.39% presence and valid recommendation rate for September 2026.
  • Its only recommendation came from Google AI Overviews at rank three, with no presence on ChatGPT, Copilot, Gemini, Perplexity, or AI Mode.
  • The brand recorded no negative mentions, but the perfect sentiment score is based on a single positive observation and is not a reliable trend signal.
  • The main opportunity is to turn one positive recommendation into broader, repeatable coverage across high-intent identity management prompts.

Answer Capsule

Semperis holds minimal presence in AI-generated recommendations for the Identity and Access Management category, appearing in just 1 of 255 qualified observations in September 2026. The brand returned to the recommendation set after holding zero presence in August, with a single valid recommendation at rank three. Semperis shows no negative framing across any platform, but its visibility is too narrow to register as a competitive signal. The clearest opportunity is converting its single positive recommendation into repeatable coverage across high-intent identity management prompts.

Who This Report Is For

This report is for Semperis marketing, demand generation, and product marketing leaders responsible for AI search visibility and competitive positioning in the identity and access management market.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Semperis

Category / market studied

Identity and Access Management

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

3

AI observations analyzed

255

Competitors tracked

10

Executive Summary

Semperis holds a 0.39% raw mention presence rate in the September 2026 Identity and Access Management benchmark, appearing in 1 of 255 qualified observations. That single mention carried positive framing and produced one valid recommendation at rank three, giving the brand a 0.39% valid recommendation coverage rate. The result marks a return to the recommendation set after Semperis held zero presence in August 2026.

The benchmark shows Semperis with no negative mentions across any tracked platform. Its single positive mention and single valid recommendation both occurred on Google AI Overviews, making that platform the brand's only source of recommendation-stage visibility. No other tracked platform surfaced Semperis in September 2026.

The strongest cluster for Semperis is the brand recommendation cluster covering best identity management solutions and platforms, which accounts for all 255 qualified observations in the current series. The weakest signal is the brand's near-total absence from the category conversation: Semperis holds no presence on ChatGPT, Copilot, Gemini, Perplexity, or AI Mode.

The clearest platform gap is the absence of Semperis from every surface except Google AI Overviews. The clearest cluster gap is the lack of any presence in comparison or pricing clusters, though the public benchmark contains no qualified observations in those classes for any brand this month.

What Semperis Is Winning

Questions This Section Answers

  • What evidence-backed wins does Semperis hold in the September benchmark?
  • Why should the perfect net sentiment score not be over-read?

Semperis has one evidence-backed win in the September 2026 benchmark: the absence of negative framing. The brand recorded zero negative mentions across all tracked platforms, and its single mention carried positive sentiment. That gives Semperis a perfect net sentiment score of 1.00, though the score is based on a single observation and should not be over-read.

The single valid recommendation at rank three on Google AI Overviews also demonstrates that Semperis can be recommended when it is surfaced. The brand's average recommended rank of 3.0 reflects that one rank-eligible recommendation.

Beyond these narrow signals, Semperis has no meaningful wins in the current benchmark. The brand's presence is too limited to support claims of competitive strength.

Where Semperis Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How does Semperis's presence rate compare with Okta and SailPoint?
  • Which platforms show no Semperis presence at all?

Semperis is effectively absent from AI-generated recommendations in the Identity and Access Management category. The brand appeared in 1 of 255 qualified observations in September 2026, a 0.39% presence rate. By comparison, Okta appeared in 94.1% of observations and SailPoint in 73.7%.

The gap between presence and recommendation is not the issue for Semperis; the issue is the absence of presence itself. The brand is not being mentioned in enough prompts to register as a category option, let alone a recommended one. When AI systems answer questions about which identity management provider to choose, Semperis is rarely part of the answer at all.

The platform gap is stark. Semperis holds no presence on ChatGPT, Copilot, Gemini, Perplexity, or AI Mode. Its only visibility comes from Google AI Overviews, where it received one positive mention and one valid recommendation. This concentration leaves the brand dependent on a single surface for all of its recommendation-stage visibility.

The competitive displacement pattern is clear: Okta and SailPoint dominate the category's recommendation structure, with BeyondTrust holding a distant third position. Semperis sits below all three, alongside six other tracked brands with essentially no recommendation presence. The brand's single September recommendation does not yet constitute a competitive signal.

Biggest Opportunity

Questions This Section Answers

  • What should Semperis do to convert its single Google AI Overviews recommendation into repeatable coverage?

Semperis's clearest opportunity is converting its single positive recommendation on Google AI Overviews into repeatable coverage across the brand recommendation cluster. The September result demonstrates that AI systems can recommend Semperis positively when the brand enters the answer. The challenge is that the brand rarely enters the answer at all.

The path forward is building the public evidence layer that supports retrieval and recommendation. Semperis needs to appear in the sources AI systems draw from when answering which identity management provider to choose, so the brand becomes a candidate for mention and recommendation across multiple platforms rather than a single surface.

Competitive Landscape

Questions This Section Answers

  • Where do Okta, SailPoint, and BeyondTrust stand relative to Semperis in recommendation strength?
  • What does Semperis's perfect sentiment score actually reflect in this competitive context?

Okta and SailPoint hold the recommendation-stage strength in the Identity and Access Management category, with BeyondTrust in a distant third position. Semperis sits at the edge of the tracked set with a single valid recommendation.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Okta

34.90%

21.96%

1.62

0.60

SailPoint

24.71%

3.92%

2.78

0.67

BeyondTrust

5.49%

1.96%

3.78

0.67

Semperis

0.39%

0.00%

3

1.00

Keyfactor

0.00%

0.00%

N/A

0.00

RSA Security

0.00%

0.00%

N/A

0.00

Axiad

0.00%

0.00%

N/A

0.00

CLEAR (by Alclear, LLC)

0.00%

0.00%

N/A

0.00

Cross Match Technologies

0.00%

0.00%

N/A

0.00

Telos Corporation

0.00%

0.00%

N/A

0.00

Average recommended rank covers rank-eligible recommendations only.

Semperis's single rank-three recommendation places it above the brands with no recommendation presence but far below the category leaders. The perfect sentiment score reflects one positive mention, not a pattern of favorable framing.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "best identity management solutions" Result: Semperis received one positive mention and one valid recommendation at rank three, its only presence in the September benchmark.

ChatGPT / Brand Recommendation Prompt: "which IAM provider should we choose" Result: Semperis was not mentioned. Okta and SailPoint dominated the recommendation structure on this platform.

Copilot / Brand Recommendation Prompt: "top identity management platforms" Result: Semperis had no presence. The platform surfaced Okta, SailPoint, and BeyondTrust instead.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Semperis is absent and identify which competitors receive the recommendations instead.

Phase 2: Recommendation Readiness Plan Build the category-level content and messaging needed to make Semperis a viable candidate for AI recommendation across the brand recommendation cluster.

Phase 3: Owned Answer Layer Buildout Develop owned pages that answer high-intent identity management questions with Semperis positioned as a recommended option.

Phase 4: Citation / Authority Layer Development Strengthen the external source footprint that AI systems can retrieve when forming recommendations, reducing dependence on a single platform.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether the single September recommendation on Google AI Overviews becomes repeatable or remains an isolated occurrence.

Why This Matters

AI-generated recommendations are becoming the shortlist moment for identity and access management buyers. When a buyer asks which provider to choose, the brands that appear in the answer gain consideration; the brands that do not appear are invisible to the decision. Semperis's single positive recommendation shows the brand can be recommended, but its near-total absence from the category conversation means it is rarely part of the choice set.

Presence alone is not enough. Semperis needs to move from occasional mention to consistent recommendation across multiple platforms. The next move is targeted correction of the prompt, page, and citation layers so the brand becomes a repeatable answer rather than a single observation.

Core Metrics

Metric

Value

Mentions

1

Valid recommendations

1

Top 3 recommendation count

1

Rank #1 recommendation count

0

Average recommended rank

3

Positive mentions

1

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

0.39%

Valid recommendation coverage

0.39%

Top 3 recommendation rate

0.39%

Rank #1 recommendation rate

0.00%

Net sentiment score

1.00

Strongest cluster by recommendation behavior

Best Identity Management Solutions & Platforms

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For Semperis, the calculation is (1 × 1 + 0 × 0 + 0 × -1) / 1 = 1.00.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers but carry neutral or negative framing that does not translate into recommendations. 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.

Semperis's perfect sentiment score reflects a single positive mention. It does not indicate a pattern of favorable framing across the category.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

1

1

0

0

1.00

Positive, but sample too small

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 Mode

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Semperis's visibility and recommendation patterns in the Identity and Access Management category, not a client implementation case study.
  2. The reporting window is September 2026, with July and August 2026 referenced for movement context where available.
  3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark began with 800 prompt-surface observations and produced 255 qualified observations after relevance and eligibility filtering.
  5. The competitor universe includes 10 tracked brands: Okta, SailPoint, BeyondTrust, Semperis, Keyfactor, RSA Security, Axiad, CLEAR (by Alclear, LLC), Cross Match Technologies, and Telos Corporation.
  6. All qualified observations in September 2026 fell into the brand recommendation buyer-intent class. No qualified observations were recorded in pricing 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 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 a tracked brand with a rank-eligible position.
  10. Small-count movements should not be over-read. Semperis's single September recommendation is too small a base to establish a trend.
  11. The three-month series is too short to treat any movement as an established pattern.
  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.

See How AI Is Recommending Your Brand

The public benchmark shows where Semperis stands in the Identity and Access Management category, but it cannot identify the specific prompts, competitors, or sources driving that result. A company-level AI visibility audit maps those patterns into a prioritized strategy, moving from what the benchmark shows to why it happens and what to do about it.

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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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