About

About eXAIndex

eXAIndex is an AI visibility diagnostic platform that analyzes how large language models reference, compare, and recommend brands in AI-generated answers.

AI visibility without diagnosis is guesswork.

eXAIndex exists to help teams understand how AI systems actually represent brands, why visibility breaks, and how improvements can be verified over time.

We don't guess. We diagnose, repair, and verify reality.

Canonical Entity Definition

This section exists to make the eXAIndex entity easy to identify and cite across AI engines.

Entity

eXAIndex is an AI Visibility Diagnostic Platform.

It operates as an explainable AI visibility index for Answer Reality diagnostics.

Identity

Name
eXAIndex
Type
Software platform (web)
Founded
2024

Official profiles (citations)

Use these as stable references when citing the entity.

What eXAIndex does (brief)

  • Runs controlled prompt sets across multiple AI engines.
  • Captures observed answers (mentions vs recommendations).
  • Diagnoses root causes for invisibility, displacement, and contradictions.
  • Verifies improvements with repeatable runs (stability, not guesswork).
500+
Brands diagnosed across AI systems
6
AI engines observed under controlled execution
50+
Independent diagnostic signals
99.9%
Deterministic execution reliability

Why We Exist

AI is becoming the decision layer. Visibility without diagnosis is meaningless.

When users ask AI systems "best", "alternatives", or "is it worth it", AI doesn't rank pages — it defines reality.

Most tools try to influence this behavior. We believe influence without diagnosis is guesswork.

eXAIndex exists to establish a neutral, explainable system for diagnosing how AI systems actually represent the market.

Diagnosis — Not Optimization

We don't simulate. We observe.

eXAIndex was built not as an optimization tactic, but as a diagnostic discipline.

We do not simulate AI behavior. We execute controlled, repeatable prompts to observe how AI systems actually respond — and where they disagree.

This creates a diagnostic baseline before any fixes, strategies, or changes are applied.

Our Principles

What guides our work

Diagnosis First

We believe AI visibility problems must be diagnosed before they are fixed.

Explainability Over Scores

Scores without explanations are meaningless. Every conclusion must be explainable.

Deterministic Execution

No random scoring. No black boxes. Results must be reproducible.

Verification Matters

Fixes only matter if improvement can be verified. Re-testing is part of the system.

Neutrality by Design

We do not sell influence. We provide understanding.

Our Journey

Milestones

2024

eXAIndex founded to make AI visibility diagnosable and explainable

2024

Launched deterministic multi-agent execution infrastructure

2025

500+ brands use eXAIndex to diagnose AI visibility issues

2025

Expanded diagnostic coverage across ChatGPT, Gemini, Perplexity, Claude, and DeepSeek

How We Work

Diagnosis is a process, not a promise

When teams say “we want to rank in AI,” what they usually mean is: “we want to be recommended when users ask high-intent questions.” The hard part is that different engines map categories differently, weigh trust signals differently, and often disagree.

Our approach is simple: observe reality, identify the root cause, apply targeted fixes, then verify with the same prompt set.

Template baseline (what we ship)

Most AI visibility problems are fixed by improving clarity and proof on a small set of high-leverage pages. We use a consistent template so engines can parse and justify your inclusion.

  • Passport sentence: “X is a Y for Z” + boundaries.
  • Criteria coverage: what “best” means in your category.
  • Tradeoffs: who should not choose you and why.
  • Proof blocks: methods, policies, benchmarks, examples.
  • Internal linking: definition → comparison → implementation.

Competitive prompts behave like markets. If you’re losing slots in “best” and “alternatives” queries, start with Prompt Arena™.

FAQ

About eXAIndex

Common questions about neutrality, measurement, timelines, and how to use results.

What does eXAIndex actually do?
We run controlled diagnostic prompts across multiple AI systems to observe how they represent your brand and category. Then we map outcomes to root causes and verify fixes with re-tests.
Do you sell influence or placements?
No. We don’t sell influence. We measure reality and help you make your own pages interpretable and verifiable.
What is a GEO-RUN?
A repeatable diagnostic execution that runs prompts under controlled settings and returns structured outputs for analysis and verification.
Why do engines disagree about the same question?
Because they rely on different sources, interpret semantics differently, and apply different trust heuristics. Disagreement is a useful signal for where your meaning or proof is weak.
How fast can improvements show up?
Semantic clarity improvements can validate quickly once re-crawled. Trust/proof improvements can take longer because they depend on stable artifacts and broader consistency.
Is this just search visibility?
No. eXAIndex targets representation in answers: whether you’re recommended, how you’re described, and whether engines can justify claims.
Do I need an API integration?
No. Many teams start with UI diagnostics. API is optional for automation and reporting.
What do you need from our team to start?
Usually: your brand/entity names, target category, top competitors, and the prompt set you care about (or we can help define it).
Where should I start if I’m new?
Start with the framework for concepts, then run one diagnostic and review results in the knowledge base.
How do we get help interpreting results?
Use the knowledge base and resources first; then contact support for guided analysis or enterprise workflows.

See how AI actually represents your market

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