AISightIndex™

Be Understood by AI.
Be Chosen by Customers.

AI agents now decide which businesses get discovered, compared, and recommended.

If AI can't clearly understand what you do, you don't get surfaced — even if you're great.

We help businesses become clearly understood and correctly recommended by AI systems.

Your Business Isn't Invisible. It's Misunderstood.

Buyers now ask questions like:

  • •"Best LMS for remote teams"
  • •"Which platform should we use?"
  • •"Compare these solutions"

AI doesn't browse — it summarizes, categorizes, and recommends.

When your business is:

  • ×vaguely positioned
  • ×inconsistently described
  • ×semantically fragmented

AI either misclassifies you or ignores you.

That's the invisibility gap.

AI visualization showing digital head profile with data streams

What We Do

We improve how AI systems interpret, explain, and recommend your business.

Our work follows a simple, disciplined model:

1

Diagnose

We objectively analyze how AI agents currently summarize and categorize your brand using the AISightIndex™.

2

Correct

We fix the signals AI relies on — positioning, content structure, semantic clarity, and use-case definition.

3

Maintain

We monitor and adapt as AI models evolve so visibility doesn't decay over time.

This isn't marketing for clicks.

It's interpretation engineering for AI-first discovery.

Generative Engine Optimization (GEO)

The Two Battles for AI Visibility

Getting recommended by AI isn't luck. It's a dual challenge that most businesses don't even know exists.

The 40% Advantage

Content with clean semantic HTML, modular structure, and FAQ/Article Schema is 40% more likely to be selected by AI systems.

Battle 1

The Retrieval Battle

Can AI find and extract your content?

  • →
    Clean semantic structure

    Modular HTML that RAG systems can chunk and retrieve

  • →
    Schema markup

    FAQ, Article, and Organization schemas AI actively looks for

  • →
    Accessible content

    Not buried in JS, PDFs, or complex UI patterns

  • →
    Extractability

    40-60 word answer blocks under H1/H2 headings for easy AI extraction

Battle 2

The Generation Battle

Does AI trust and recommend you?

  • →
    E-E-A-T signals

    Experience, Expertise, Authority, Trust — now critical for AI

  • →
    Signal consistency

    Same story across all platforms AI cross-references

  • →
    Information Gain

    Unique data AI doesn't already have — the real differentiator

  • →
    Cite-to-be-cited

    Reference quality sources — AI notices who cites whom

What We Measure

AIR
Answer Inclusion Rate

How often you're cited for high-intent queries in your category

CS
Citation Share

Your percentage of total AI citations vs. competitors

ES
Entity Strength

How clearly AI links your brand to your niche and use cases

MRC
Machine-Readable Credibility

Trust signals AI can parse: authorship, citations, structured proof

The Visibility Killers

Common patterns that make businesses invisible to AI:

×Heavy JavaScript, poor HTML structure
×Conflicting info across web properties
×Generic content with no Information Gain
×Content buried in PDFs or gated UIs

AISightIndex™

There is no standard for AI visibility — yet.

AISightIndex™ exists to:

  • →measure how AI currently sees a business
  • →identify misclassification and recommendation blockers
  • →guide correction with precision

We don't guess how AI interprets you.

We show you — clearly.

Start With the Diagnostic

AISightIndex™ Snapshot

$499

A fast, objective diagnostic showing how AI currently understands your business.

No implementation. No rewrites. Just truth.

This is for businesses where AI influences discovery, trust, or revenue.

Not for:

  • ×generic marketing
  • ×keyword-stuffing tactics
  • ×content volume without clarity

We don't make brands louder.

We make them understandable.

AISightIndex™

If AI systems influence discovery in your market, the first step is knowing what they currently say about you.