Skip to main content
Use Cases · IAM

Identity is bought on standards, and the model will happily get them wrong.

SAML, OIDC, SCIM and FIDO2 support is the first filter in every identity evaluation, and assistants answer those questions confidently from whatever they last read. GrackerAI shows you which protocol answers currently name you, and which quietly do not.

7-day free trial. Cancel anytime before it ends.

GrackerAI tracking how AI engines answer identity protocol and IAM platform questions
The identity AEO reality

A protocol answer is checkable, which is why getting it wrong is costly.

Identity buyers filter on standards support before anything else, and those claims are verifiable. A model that describes your SCIM support inaccurately removes you from evaluations you never learn about.

Why identity buyers research differently
Protocol support is the first filter SAML, OIDC, SCIM and FIDO2 decide the shortlist before pricing does
Migration risk dominates Identity is the hardest system to replace, so switching questions come early
Workforce and customer identity are different markets The same query means different things for employees and end users
Developers read the docs, not the site Integration guides are what get quoted when the buyer is implementing
What you get

What the platform does when standards decide the shortlist

Monitoring

Workforce and customer identity apart

Prompt Topics separates the two markets, so a strong workforce position does not disguise a customer-identity gap or the reverse.

See Prompt Topics
Audit

Integration docs read like an engine reads them

The audit fetches your documentation before JavaScript runs, so you learn whether the protocol guides developers rely on are extractable or only look complete.

See AEO Audit
Verification

Every identifier checked at the authority

CVE, CWE, ATT&CK, CAPEC and NIST references on your pages are resolved against the body that issued them, and an active-exploit claim is checked against CISA's Known Exploited Vulnerabilities catalog.

See Security Verification
Content

Fabricated identifiers never ship

Identifiers are resolved before a draft is written, and anything the model produced that is not in that resolved set is stripped out before the page publishes.

See Content Engine
Monitoring

CVE and news sweeps that become prompts

New vulnerabilities and security news are swept on a schedule, scored for exploitability and for how closely they touch your products, and the survivors become monitored prompts automatically.

See AI Visibility Monitoring
Prompt coverage

The prompts that decide an identity shortlist

Protocol and integration prompts land hardest on Claude, with Perplexity leading on comparison and migration questions.

Prompt categoryExample queryWhere it lands most
ProtocolWhich IdPs support SCIM provisioning properlyClaudePerplexity
ImplementationAdding SAML SSO to a multi-tenant SaaS appClaudeChatGPT
MigrationMoving off a legacy IdP without locking users outPerplexityClaude
Market fitBest CIAM platform for a consumer productChatGPTPerplexity
PrivilegePAM tools for a small infrastructure teamPerplexityChatGPT
Plays

Four plays that move identity pipelines

01

Make protocol support unambiguous

Partial or outdated standards claims are how vendors get filtered out invisibly. Monitor each protocol prompt and publish the explicit support matrix the engines can cite.

Explore Content Engine →
02

Let the docs do the selling

Identity buyers are implementers. Engines quote integration guides readily when they parse cleanly, so the audit usually returns more value here than any campaign.

Explore AEO Audit →
03

Do not average two markets

Workforce and customer identity are different buyers asking similar words. Prompt Topics keeps them apart so the weaker side becomes visible instead of being averaged away.

Explore Prompt Topics →
04

Answer the migration fear

Nobody replaces an identity provider casually. The vendor whose migration documentation the engines can read is the one named when someone asks how risky it would be.

Explore Diagnosis →
The stack

The right product for every stage of the work

StageWhat you use
Diagnose Find where you are missing todayPrompt Research AI Visibility Monitoring AI Visibility Score
Explain Understand why a prompt goes to someone elseVisibility Diagnosis LLM Citations Competitor Monitoring
Fix Turn findings into published pagesTechnical AEO Audit Recommendation Engine Content Engine
Ship Get it live and keep it movingTasks WordPress Publishing AI Search Analytics

Frequently Asked Questions

Questions B2B SaaS teams ask before getting started

The same all 10 AI engines it tracks for every vertical: ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Microsoft Copilot, DeepSeek, Brave Leo, Grok and Claude. Coverage is by plan — 3 engines on Starter, 4 on Scale and all 10 on Enterprise.

Monitors are built per protocol and per market, since workforce and customer identity are different buyers, and the audit is run against integration documentation, which is what implementers and engines actually read.

Monitoring starts returning answers on the first run, so you can see where you stand immediately. Movement in citations follows publishing, which depends on how fast you ship the fixes the audit and diagnosis hand you.

No. Classic SEO governs ranking; AEO and GEO govern whether a model quotes you. The technical audit overlaps with an SEO audit in places, but the citation work sits alongside what you already do rather than replacing it.

Ready to see your AI visibility score?

60 seconds. 7-day free trial, cancel anytime.

Do not let AI keep
recommending someone else

Start your 7-day free trial and get your AI Visibility Score in about a minute. See exactly where you stand, where competitors are beating you, and the ranked fixes to get into the answer. Cancel anytime before the trial ends.

7-day free trial. Cancel anytime before it ends. Trusted by 500+ B2B SaaS teams.

Partnered with
  • Microsoft
  • Google
  • Amazon AWS
  • Cloudflare
  • Nvidia
Powered by
  • Google Gemini
  • Open AI
  • Claude