Identity and Access Management in AI Search: The Biggest AI Visibility Problems and How We'd Fix Them

Companies covered: Okta, Axiad, Semperis, Keyfactor, SailPoint, BeyondTrust, RSA Security, Telos Corporation, CLEAR (by Alclear, LLC), Cross Match Technologies

Answer Capsule

The November 2026 Identity and Access Management benchmark compares 10 companies across 213 AI answers that met its inclusion rules. Okta recorded 206 mentions and 147 recommendations (69.01% of the answers). Being mentioned means appearing in an answer; being recommended means receiving an affirmative endorsement.

We examine each company, compare the available monthly results, and set out a five-step plan for improving the information AI systems can draw on. The work starts with measuring visibility and checking conflicting claims, then moves to company pages, relevant publishers and buyer questions. The cited pages need review before any correction request, and the research does not establish what caused recommendation differences or promise future gains.

Executive industry diagnosis

Questions This Section Answers

• What does the Identity and Access Management benchmark show about mentions, recommendations and placement?

This peer set is sharply tiered. Okta and SailPoint appear in most answers and carry affirmative recommendations in a large share of them, while BeyondTrust sits in a clear third position with meaningful but narrower reach. The remaining companies barely register, and several are absent entirely. For a buyer-facing category, AI answers are effectively presenting a short, familiar vendor set.

The gap between mentions and recommendations matters more than raw presence. Okta and SailPoint are recommended far more often than they are merely named, and BeyondTrust shows the same pattern at a lower level. Being named is necessary but not sufficient; the wording around a company is what turns an appearance into an endorsement. Placement adds another layer, with first-place positions concentrated in Okta. Our starting work would build a scorecard that keeps reach, endorsement and position apart, so the client can see where the real gap lies.

What changed since last month

Questions This Section Answers

• What changed across the usable monthly Identity and Access Management snapshots?

Across the selected monthly samples, Okta, SailPoint and BeyondTrust all show higher recommendation counts in the latest month than in earlier ones, with BeyondTrust's movement the most pronounced. The samples differ month to month, so these are separate observations rather than a like-for-like trend. We can describe the movement but not attribute it to any cause.

The smaller companies show only isolated appearances, and several remain at zero throughout. Because the monthly answer sets are not identical, a change in one company's count should not be read as evidence about another's. We would document the sample composition alongside each snapshot so future comparisons are clearly bounded.

Company-by-company findings

Okta

Questions This Section Answers

• What measured visibility pattern and review priority does Okta have in Identity and Access Management?

Okta recorded 206 mentions (96.71%) and 147 recommendations (69.01%) across 213 answers included in the benchmark. Top 3 placements numbered 117; first-place recommendations numbered 62. Framing among its mentions was 154 positive, 52 neutral and 0 negative.

From October 2026 to November 2026, Okta's mention count fell from 208 to 206, while its recommendation count rose from 113 to 147. The recommendation rate was 51.60% and 69.01% respectively.

AI answers contained 0 conflicting claims about Okta: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Selected owned-page review candidate: https://okta.com/solutions/iam-identity-and-access-management/.

Selected third-party review candidate: https://seeklogo.com/vector-logo/483918/okta.

Okta's reach and endorsement levels are the strongest in the set, and its first-place share is substantial. That position is an asset worth protecting rather than a problem to fix. The useful work is verification: confirm that the claims AI answers make about Okta match current primary sources, and check the selected owned page and third-party page for accuracy. We would propose a conditional fact-check brief, with any correction only after source confirmation.

Axiad

Questions This Section Answers

• What measured visibility pattern and review priority does Axiad have in Identity and Access Management?

Axiad recorded 0 mentions (0.00%) and 0 recommendations (0.00%) across 213 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 0 neutral and 0 negative.

From October 2026 to November 2026, Axiad's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

AI answers contained 0 conflicting claims about Axiad: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

No results are available for this part of the analysis.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Axiad does not appear in the recorded answers at all, so there is no recommendation pattern to explain yet. The absence is an observation, not proof that buyers are unaware of the company or that its pages are lacking. Before setting any visibility target, we would propose a discovery review: confirm how the company is described in primary sources and whether its category terms match the questions being asked.

Semperis

Questions This Section Answers

• What measured visibility pattern and review priority does Semperis have in Identity and Access Management?

Semperis recorded 3 mentions (1.41%) and 2 recommendations (0.94%) across 213 answers included in the benchmark. Top 3 placements numbered 1; first-place recommendations numbered 0. Framing among its mentions was 2 positive, 1 neutral and 0 negative.

From October 2026 to November 2026, Semperis' mention count rose from 0 to 3, while its recommendation count rose from 0 to 2. The recommendation rate was 0.00% and 0.94% respectively.

AI answers contained 0 conflicting claims about Semperis: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Selected owned-page review candidate: https://semperis.com/purple-knight/.

Selected third-party review candidate: https://beyondtrust.com/solutions/itdr.

Semperis appears rarely but is recommended in most of the answers where it does appear, and it holds one top-three placement. That suggests a narrow but positive footprint rather than a weak one. The observed questions concern identity threat detection and response, which is a specific niche. We would propose a focused review of how that niche is framed in primary sources before any broader visibility work.

Keyfactor

Questions This Section Answers

• What measured visibility pattern and review priority does Keyfactor have in Identity and Access Management?

Keyfactor recorded 1 mentions (0.47%) and 0 recommendations (0.00%) across 213 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 1 neutral and 0 negative.

From October 2026 to November 2026, Keyfactor's mention count fell from 2 to 1, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

AI answers contained 0 conflicting claims about Keyfactor: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Selected third-party review candidate: https://digicert.com/content/dam/digicert/pdfs/ni/digicert-global-pki-research-report-2026.pdf.

Keyfactor appears once and is not recommended in that appearance, so there is no endorsement pattern to assess. A single neutral mention is too thin to support conclusions about positioning or demand. We would propose a scoped review that confirms how the company is described in primary sources and whether the observed question about PKI buyers is one the company can credibly answer.

SailPoint

Questions This Section Answers

• What measured visibility pattern and review priority does SailPoint have in Identity and Access Management?

SailPoint recorded 172 mentions (80.75%) and 135 recommendations (63.38%) across 213 answers included in the benchmark. Top 3 placements numbered 57; first-place recommendations numbered 14. Framing among its mentions was 141 positive, 31 neutral and 0 negative.

From October 2026 to November 2026, SailPoint's mention count stayed at 172, while its recommendation count rose from 107 to 135. The recommendation rate was 48.86% and 63.38% respectively.

AI answers contained 0 conflicting claims about SailPoint: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Selected owned-page review candidate: https://documentation.sailpoint.com/identityiq/help/index.html.

Selected third-party review candidate: https://iconlogovector.com/logo/sailpoint.

SailPoint combines broad reach with strong endorsement and a meaningful share of top-three placements, though first-place positions are fewer than Okta's. The pattern suggests a company that is consistently shortlisted but less often named first. That is a placement question, not a reach question. We would propose a page brief for the selected documentation page and a check that answer claims match current primary sources.

BeyondTrust

Questions This Section Answers

• What measured visibility pattern and review priority does BeyondTrust have in Identity and Access Management?

BeyondTrust recorded 104 mentions (48.83%) and 81 recommendations (38.03%) across 213 answers included in the benchmark. Top 3 placements numbered 31; first-place recommendations numbered 1. Framing among its mentions was 81 positive, 23 neutral and 0 negative.

From October 2026 to November 2026, BeyondTrust's mention count rose from 63 to 104, while its recommendation count rose from 43 to 81. The recommendation rate was 19.63% and 38.03% respectively.

AI answers contained 0 conflicting claims about BeyondTrust: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Selected owned-page review candidate: https://beyondtrust.com/resources/glossary/identity-and-access-management.

Selected third-party review candidate: https://majorkeytech.com/blogs/best-iam-solutions.

BeyondTrust has substantial reach and endorsement but very few first-place positions, so it is frequently named and recommended without leading. That is a distinct pattern from low visibility. The observed questions span general IAM tools and privileged access management, which may pull answers in different directions. We would propose a review of how the company's category positioning is described in primary sources, plus a fact-check of the selected pages.

RSA Security

Questions This Section Answers

• What measured visibility pattern and review priority does RSA Security have in Identity and Access Management?

RSA Security recorded 4 mentions (1.88%) and 2 recommendations (0.94%) across 213 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 2 positive, 2 neutral and 0 negative.

From October 2026 to November 2026, RSA Security's mention count rose from 1 to 4, while its recommendation count rose from 0 to 2. The recommendation rate was 0.00% and 0.94% respectively.

AI answers contained 0 conflicting claims about RSA Security: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Selected owned-page review candidate: https://rsa.com/news/press-releases/.

Selected third-party review candidate: https://cybersecuritynews.com/best-iam-solutions/.

RSA Security appears in a handful of answers and is recommended in some of them, with no top-three placements. The footprint is small and recent, so it is best treated as an early observation rather than a trend. We would propose confirming how the company is described in primary sources and reviewing the selected press page and third-party list for accuracy before drawing conclusions.

Telos Corporation

Questions This Section Answers

• What measured visibility pattern and review priority does Telos Corporation have in Identity and Access Management?

Telos Corporation recorded 0 mentions (0.00%) and 0 recommendations (0.00%) across 213 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 0 neutral and 0 negative.

From October 2026 to November 2026, Telos Corporation's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

AI answers contained 0 conflicting claims about Telos Corporation: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

No results are available for this part of the analysis.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Telos Corporation does not appear in the recorded answers, so there is no recommendation pattern to interpret. Absence here does not establish that the company lacks relevance or that its content is deficient. Before any target is set, we would propose a discovery review of how the company is described in primary sources and which category questions it could plausibly answer.

CLEAR (by Alclear, LLC)

Questions This Section Answers

• What measured visibility pattern and review priority does CLEAR (by Alclear, LLC) have in Identity and Access Management?

CLEAR (by Alclear, LLC) recorded 1 mentions (0.47%) and 0 recommendations (0.00%) across 213 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 1 neutral and 0 negative.

From October 2026 to November 2026, CLEAR (by Alclear, LLC)'s mention count rose from 0 to 1, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

AI answers contained 0 conflicting claims about CLEAR (by Alclear, LLC): 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Selected third-party review candidate: https://okta.com/blog/identity-security/what-is-an-identity-platform/.

CLEAR appears once, in a neutral framing, and is not recommended. A single neutral mention is not enough to judge positioning, and the observed question concerns digital identity platforms broadly. We would propose a light-touch review confirming how the company is described in primary sources, without treating one appearance as a signal of demand or of a content gap.

Cross Match Technologies

Questions This Section Answers

• What measured visibility pattern and review priority does Cross Match Technologies have in Identity and Access Management?

Cross Match Technologies recorded 0 mentions (0.00%) and 0 recommendations (0.00%) across 213 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 0 neutral and 0 negative.

From October 2026 to November 2026, Cross Match Technologies' mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

AI answers contained 0 conflicting claims about Cross Match Technologies: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

No results are available for this part of the analysis.

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

Cross Match Technologies does not appear in the recorded answers, so there is no recommendation pattern to explain. The absence may reflect category framing, naming, or simply the questions asked, and we cannot tell which from the evidence. We would propose a discovery review of primary-source descriptions before considering any visibility work.

The CiteWorks five-step improvement plan

Step 1. Establish the baseline

Questions This Section Answers

• What should the agency deliver when it works to establish the baseline for Identity and Access Management?

We would start by building a cohort scorecard that records, for each company, mentions, recommendations, top-three placements and first-place positions as separate columns. Each entry would carry the reporting month and the sample size so future readers can see exactly what was compared. The scorecard becomes the reference point for every later decision, and it prevents reach from being confused with endorsement.

Step 2. Verify disputed facts

Questions This Section Answers

• What should the agency deliver when it works to verify disputed facts for Identity and Access Management?

AI answers contained 0 conflicting claims across 0 companies. Another 0 possible conflicts were excluded because their company matches were uncertain. The conflicting claims need fact-checking before any corrections are proposed.

The recorded answers contain no flagged conflicting claims in this set, so there is nothing to correct at present. That is a clean starting position, not a permanent one. We would set up a fact-review register with an owner and an evidence requirement for each entry, and we would keep uncertain company matches out of the correction queue until the entity is resolved.

Step 3. Review owned pages

Questions This Section Answers

• What should the agency deliver when it works to review owned pages for Identity and Access Management?

For the supplied owned pages, we would prepare page briefs that state what each page is meant to establish and which claims need primary-source confirmation before any edit. The briefs would be reviewed against current page contents rather than assumed from the URL. No edit would proceed without verified evidence, and no-change decisions would be recorded alongside approved ones.

Step 4. Review third-party sources

Questions This Section Answers

• What should the agency deliver when it works to review third-party sources for Identity and Access Management?

For the third-party pages, we would prepare source-review packages that document what the page currently says and whether a request is justified. Citation in an answer does not show that a source influenced it, so requests would rest on verified content issues rather than on citation counts alone. Each request and any response would be logged separately.

Step 5. Address buyer questions and measure again

Questions This Section Answers

• What should the agency deliver when it works to address buyer questions and measure again for Identity and Access Management?

The observed buyer questions give us a starting list for content briefs, particularly around IAM tools, identity governance, privileged access and identity threat detection. We would draft briefs that answer those questions directly and factually. Measurement would follow later, with delivered work recorded separately from any change in answer outcomes, and no claim of success attached to the work itself.

Third-party authority and citation opportunities

Questions This Section Answers

• Which cited publisher pages support targeted source review in Identity and Access Management?

These pages are candidates for review, not confirmed errors. Citation appearances are counted across the captured answers and are not added again for each company.

The publisher list should be prioritized by relevance and verifiability rather than by citation volume alone. A page cited often across answers is worth reviewing, but citation counts do not show that the page shaped the answer. We would begin with the pages tied to the most companies in this set, confirm their current contents, and only then decide whether a request is warranted.

Several listed pages are vendor-owned or logo and directory sites, which call for different handling from independent editorial or review platforms. For each, we would record what the page says today, whether it addresses the company accurately, and what evidence would support a change. Pages with no clear inaccuracy would be marked as no-change rather than pursued.

What we'd prioritize first

The first priority is the scorecard and the fact-review register, because every later decision depends on a clean baseline and a clear evidence standard. Alongside that, we would shortlist the owned and third-party pages worth reviewing, starting with those tied to the most companies. Each record would have an owner and a review status from the outset.

The second priority is turning approved reviews into page briefs and justified publisher requests, keeping confirmed edits, no-change decisions and outstanding requests clearly separated. The third is buyer-question content briefs and a fresh scorecard. Throughout, completed work would be reported separately from measured answer outcomes, with the comparability limits stated plainly.

Methodology and conclusion

Questions This Section Answers

• What do the Identity and Access Management sample and source-review limits allow us to conclude?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 213 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5017 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

This report describes recorded AI answer observations for the selected month, not verified company facts or buyer demand. Mentions, recommendations and placements are separate measures, and a company is counted as recommended only when an answer endorses it with positive wording. The monthly samples differ, so comparisons show what was recorded without establishing why anything changed.

The proposed work is a sequence of reviews, briefs and fact checks, each conditional on primary-source verification. None of it guarantees a change in visibility or endorsement. The value lies in a traceable baseline, disciplined evidence standards and content that answers real buyer questions accurately.