Keyfactor AI Visibility Market Strategy Report - Identity and Access Management

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Keyfactor recorded 2 neutral mentions and 0 valid recommendations in October 2026, so its visibility did not convert into shortlist placement.
  • AI Mode was the only surface where Keyfactor appeared; ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews showed no qualified mentions.
  • The category’s recommendation tier is led by Okta and SailPoint, while Keyfactor sits at 0.00% top-three rate and 0.00% rank-one rate.
  • The clearest opportunity is to improve consideration-stage coverage around identity governance, privileged access, and machine identity prompts.

Answer Capsule

Keyfactor holds effectively no recommendation-stage visibility in the Identity and Access Management category. In October 2026, the LLM Authority Index recorded 2 neutral mentions for Keyfactor across 219 qualified observations, producing a raw mention presence rate of 0.91% and a valid recommendation coverage of 0.00%. The brand was visible only as passing context, never as a recommended option, and it received no top-three or rank-one placement in any measured month. The clearest opportunity is converting that thin neutral presence into a valid recommendation inside the category's single measured buyer-intent cluster, Best Identity Management Solutions and Platforms.

Who This Report Is For

This report is written for Keyfactor's marketing, product marketing, and revenue leadership, and for category analysts tracking how identity and access management vendors are surfaced and recommended across AI and search answer surfaces.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Keyfactor

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 measured (Best Identity Management Solutions and Platforms)

AI observations analyzed

219 qualified observations from 800 prompt-surface observations

Competitors tracked

9

Executive Summary

Keyfactor is present in the Identity and Access Management category only at the margins. Across 219 qualified observations in October 2026, the benchmark recorded 2 mentions, both neutral, and 0 valid recommendations. Raw mention presence rate was 0.91% and valid recommendation coverage was 0.00%.

The gap between visibility and recommendation is total for Keyfactor. Where Okta converted 95.0% presence into 51.6% valid recommendation coverage, Keyfactor converted 0.91% presence into 0.00% coverage. The brand appears in AI answers as background context, not as a shortlisted option.

The only platform signal in the dataset is a single surface. Keyfactor's 2 neutral mentions were recorded on AI Mode, giving it a neutral visibility rate of 3.64% on that platform and 0.00% everywhere else. ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews produced no Keyfactor mentions in the qualified set.

The category's single measured cluster, Best Identity Management Solutions and Platforms, carries all 219 qualified observations. Keyfactor's cluster-level position mirrors its overall position: 2 neutral mentions, 0 valid recommendations, 0 top-three placements, and 0 rank-one placements.

The trend line is negative. Keyfactor's valid recommendation coverage fell from 1.1% in July 2026 to 0.0% by September 2026 and held at 0.0% in October 2026. The benchmark notes that Keyfactor held at 0.0% for a second consecutive month.

The category itself is concentrating, not opening. Okta and SailPoint together account for the leadership tier, BeyondTrust holds a distant third, and seven of ten tracked brands received no valid recommendations in October 2026. Keyfactor sits inside that seven-brand group.

The clearest opportunity is narrow and specific. Keyfactor already appears in AI Mode answers as neutral context, which means the retrieval layer can find the brand. The work is converting that retrieval into a recommendation inside the category's consideration-stage prompts.

What Keyfactor Is Winning

Questions This Section Answers

  • Where does Keyfactor actually appear in AI answers, and on which platform?
  • What does Keyfactor's all-neutral mention set mean for its position in the IAM category?

Keyfactor has very few evidence-backed wins in this dataset, and the report should say so plainly.

The one measurable positive is that Keyfactor is not invisible everywhere. It registered 2 neutral mentions in October 2026, both on AI Mode, giving it a neutral visibility rate of 3.64% on that platform. That is a small but real signal that AI Mode's retrieval layer can surface the brand in identity and access management answers.

The second, weaker positive is sentiment direction. Keyfactor recorded 0 negative mentions in October 2026 and 0 negative mentions across the series. Its net sentiment score by mentions was 0.00, reflecting an all-neutral mention set rather than any negative framing. The brand is not being described unfavorably; it is simply not being described as a recommendation.

Beyond those two points, the dataset does not support additional wins. Keyfactor recorded 0 valid recommendations, 0 top-three placements, and 0 rank-one placements in October 2026, and its valid recommendation coverage has been at 0.0% since September 2026.

Where Keyfactor Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why do Keyfactor's AI Mode mentions never convert into a valid recommendation?
  • How does Keyfactor's single-platform presence compare to Okta and SailPoint's coverage across all six surfaces?
  • Where is Keyfactor absent in the prompts where its certificate lifecycle and machine identity positioning should be most relevant?

Keyfactor's clearest gap is recommendation conversion. The brand is mentioned, but the mention never becomes a shortlist entry. In October 2026, 2 neutral mentions produced 0 valid recommendations, a conversion rate of zero.

The second gap is platform coverage. Keyfactor's only qualified presence was on AI Mode. ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews produced no Keyfactor mentions in the qualified set. Okta, by contrast, was present across all six tracked surfaces, with valid recommendation coverage of 70.31% on AI Overviews, 66.67% on Perplexity, 52.00% on Gemini, 47.27% on AI Mode, 38.24% on Copilot, and 27.59% on ChatGPT. SailPoint was similarly distributed, with 70.31% coverage on AI Overviews and 66.67% on Perplexity. Keyfactor's single-surface presence is the structural gap behind its zero recommendation coverage.

The third gap is competitive displacement inside the category's only measured cluster. In Best Identity Management Solutions and Platforms, Okta holds 51.6% valid recommendation coverage, SailPoint holds 48.9%, and BeyondTrust holds 19.6%. Keyfactor holds 0.0%. The cluster's prompts include identity governance and administration, privileged access management, identity and access management solutions, and best identity governance software. These are the exact prompt types where Keyfactor's certificate lifecycle and machine identity positioning should be relevant, and the benchmark shows the brand is not being recommended in them.

The fourth gap is trend direction. Keyfactor's valid recommendation coverage moved from 1.1% in July 2026 to 0.0% in October 2026, a decline of 1.1 points, and the brand has held at 0.0% for two consecutive months. The benchmark flags small-count movement as worth watching but not over-reading, and Keyfactor's movement sits on a base of fewer than five observations. The sustained absence of recommendation presence across the series is the more notable finding than any single month's change.

Biggest Opportunity

Questions This Section Answers

  • What is the specific path from neutral AI Mode presence to a valid recommendation for Keyfactor?
  • Which consideration-stage prompt types should Keyfactor target to convert retrieval into a shortlist entry?

Keyfactor's biggest opportunity is converting neutral AI Mode presence into a valid recommendation inside the category's consideration-stage prompt cluster.

The benchmark shows the retrieval layer can already find Keyfactor on AI Mode, where the brand registered 2 neutral mentions and a 3.64% neutral visibility rate. The gap is that those mentions are framed as context rather than as a recommended option. The category's qualified observations all sit in the Best Identity Management Solutions and Platforms cluster, which captures queries asking which identity management provider to choose or what the best option is. That is the prompt type where a neutral mention can become a shortlist entry.

The specific path is to make Keyfactor's machine identity and certificate lifecycle positioning legible inside the identity governance and privileged access prompt set. The cluster's prompt examples include identity governance and administration, privileged access management, and best identity governance software. Keyfactor's category relevance to those prompts is not currently reflected in AI recommendations, which means the public evidence layer is not connecting the brand to the consideration-stage question.

Competitive Landscape

Questions This Section Answers

  • Who leads recommendation-stage visibility in Identity and Access Management, and how wide is the gap to the rest of the field?
  • Where does Keyfactor sit relative to the leadership tier on top-three rate and average recommended rank?

Okta and SailPoint hold the recommendation-stage strength in Identity and Access Management, with BeyondTrust a distant third and the remaining seven tracked brands, including Keyfactor, receiving no valid recommendations in October 2026.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Okta

44.75%

24.66%

1.7333

0.6058

SailPoint

28.31%

5.94%

2.9897

0.6860

BeyondTrust

5.94%

0.46%

4.2222

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.

Keyfactor's row shows the position plainly: no top-three placement, no rank-one placement, and no rank-eligible recommendations to average. The brand sits in a six-way tie at the bottom of the table, separated from the leadership tier by more than 28 points of top-three rate. Its 0.0000 sentiment score reflects an all-neutral mention set rather than negative framing.

Prompt Evidence

Questions This Section Answers

  • Which specific prompts surfaced Keyfactor as a neutral mention, and who was recommended instead?
  • How did Keyfactor's absence on ChatGPT, AI Overviews, and other surfaces play out at the prompt level?

AI Mode / Best Identity Management Solutions and Platforms Prompt: "identity governance and administration" Result: Keyfactor appeared as a neutral mention with no recommendation placement, while Okta and SailPoint were recommended in the top three.

AI Mode / Best Identity Management Solutions and Platforms Prompt: "pam tools" Result: Keyfactor registered neutral presence only, with no valid recommendation credit, while BeyondTrust and Okta received recommendation placement.

ChatGPT / Best Identity Management Solutions and Platforms Prompt: "What's the best Identity Governance software?" Result: No Keyfactor mention appeared in the qualified set; Okta and SailPoint were recommended, with Okta reaching rank one.

AI Overviews / Best Identity Management Solutions and Platforms Prompt: "identity and access management solutions" Result: No Keyfactor mention appeared; Okta held a 70.31% valid recommendation coverage rate on this surface across the qualified set.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Keyfactor is mentioned, retrieved, or absent across all six tracked surfaces, and identify which consideration-stage prompts should surface the brand.

Phase 2: Recommendation Readiness Plan Prioritize the identity governance, privileged access, and machine identity prompt types where Keyfactor's category relevance is strongest but recommendation coverage is zero.

Phase 3: Owned Answer Layer Buildout Build owned pages and structured content that answer the category's consideration-stage questions directly, so AI systems have a clear, retrievable statement of what Keyfactor is recommended for.

Phase 4: Citation and Authority Layer Development Strengthen the public evidence layer around Keyfactor's machine identity and certificate lifecycle positioning, including analyst, publisher, and comparison sources that AI systems already cite in this category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track mention presence, valid recommendation coverage, top-three rate, and rank-one rate monthly to confirm whether neutral presence is converting into recommendation placement.

Why This Matters

AI presence alone is not enough. Keyfactor is mentioned in the category, but the mention never becomes a recommendation, and in a category where buyers increasingly form shortlists inside AI answers, a neutral mention and a recommended option are not the same outcome.

The next move is targeted correction of the prompt, page, and citation layers. Keyfactor does not need to be more visible in the abstract; it needs to be recommended in the specific consideration-stage prompts where the category's buyers are asking which identity management provider to choose. That is a fixable gap, and the benchmark shows exactly where it sits.

Core Metrics

Metric

Value

Mentions

2

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

2

Negative mentions

0

Raw mention presence rate

0.91%

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 and Platforms (0.00% valid recommendation coverage)

Strongest platform by recommendation behavior

AI Mode (3.64% neutral visibility rate, 0.00% valid recommendation coverage)

Sentiment Score

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

For Keyfactor in October 2026, that is (0 × 1 + 2 × 0 + 0 × -1) / 2 = 0.0000.

The score matters because unclassified mention counts are misleading. Keyfactor's 2 mentions are all neutral, which means the brand is being referenced without being endorsed or criticized. A neutral reference and a positive recommendation are not equal, and counting both as wins would overstate Keyfactor's position.

Share of voice is a diagnostic metric, not a business KPI. Keyfactor's 0.91% raw mention presence rate tells you the brand is barely in the answer set. It does not tell you whether the brand is being recommended, and in Keyfactor's case it is not. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are four different outcomes, and only one of them puts a brand on a buyer shortlist.

Classified sentiment is required before interpreting AI visibility. Keyfactor's 0.0000 score is not a neutral achievement; it is the arithmetic result of an all-neutral mention set with no recommendation credit behind it.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

AI Mode

2

0

2

0

0.0000

Present as context, not recommendation

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

Methodology

  1. Report orientation: this is a benchmark-based AI Visibility Company Market Strategy Report for Keyfactor in the Identity and Access Management category, produced from the LLM Authority Index AI Visibility Market Discovery benchmark and the associated October 2026 metrics aggregation.
  2. Reporting window: October 2026, with trend comparisons against the July 2026 baseline and the intervening August and September 2026 measurements.
  3. Platforms tracked: six canonical AI and search surface families, ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. Observation count: the October 2026 benchmark began with 800 prompt-surface observations, produced 653 unique questions, 337 relevant observations, and 219 qualified observations after relevance and eligibility filtering.
  5. Competitor universe: 10 tracked brands, Axiad, BeyondTrust, CLEAR (by Alclear, LLC), Cross Match Technologies, Keyfactor, Okta, RSA Security, SailPoint, Semperis, and Telos Corporation.
  6. Public clusters used: one measured cluster, Best Identity Management Solutions and Platforms, which carries all 219 qualified observations. Two additional clusters, Identity Management Platform Comparisons and Identity Management Pricing and Cost Evaluation, returned no qualified data in this reporting month.
  7. Stage 0 role: prompt-level observations retain the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources.
  8. Definition of a mention: a brand is counted as mentioned when it appears in a qualified AI answer, regardless of whether it is recommended.
  9. Definition of a valid recommendation: a brand receives valid recommendation credit only when the dataset explicitly marks the mention as a recommendation. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Ranking interpretation: top-three rate is the share of qualified observations where the brand appeared among the first three recommendations. Rank-one rate is the share where the brand was the first recommendation. Average recommended rank covers rank-eligible recommendations only.
  11. Small-count caution: Keyfactor's October 2026 metrics rest on 2 mentions, a base of fewer than five observations. The benchmark flags movement at this scale as worth watching but not over-reading.
  12. Limitations: the public benchmark measures how tracked brands appear and are recommended across qualified AI and search surface responses. It does not measure market share, attributable sales, organic search ranking, or causality from a 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

The public benchmark shows where Keyfactor stands in the category. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind that position, and turns it into a prioritized plan for moving from neutral mention to valid recommendation.

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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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