The rules of discovery changed

Is AI Sending You Traffic?

ChatGPT, Claude, and Perplexity now answer questions directly.

If you're not optimized for LLMs, you don't get mentioned.

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No signup. Results in 30 seconds.

The Shift Is Happening Now

For 25 years, SEO meant optimizing for Google. That era is ending.

9x

Higher conversion from AI referrals vs traditional search

2030

Answer engines may overtake search as primary discovery

0%

Companies with a GEO strategy (most have none)

The Blind Spot

When someone asks an AI "What's the best [your category]?" you're either in the answer or invisible. There's no page 2. No scrolling. Just one answer. And most companies have no idea how to get in it.

SEO vs GEO

SEO optimizes for Google's index. Keywords, backlinks, page speed. You compete for 10 blue links.

GEO (Generative Engine Optimization) optimizes for AI answers. Structured data, citation signals, machine-readable content. You compete for one mention.

Different game. Different rules. Same outcome: visibility or invisibility.

What LLMs Look For

  • Structured data they can parse (JSON-LD, schema.org)
  • Citation signals (author, date, canonical URL)
  • Clear content hierarchy (headings, lists, tables)
  • Crawler access (robots.txt, llms.txt)
  • Extractable facts (FAQs, definitions, data tables)

How LLMGeoKit Works

1

Enter Your URL

Paste any website. We fetch it and start analyzing.

2

We Check 7 Dimensions

Crawler access, structured data, metadata, content structure, llms.txt, citations, extractability.

3

Get Your Score + Plan

Letter grade (A-F), detailed breakdown, and prioritized fixes.

7 Dimensions of LLM Visibility

Each dimension contributes to whether an AI can find, understand, and cite your content.

Robots.txt

Crawler rules, sitemap, LLM-specific blocking

Structured Data

JSON-LD schema.org, FAQ and HowTo markup

Metadata

Title, description, Open Graph tags

Content Structure

Headings, lists, semantic HTML

llms.txt

AI-specific guidance file (emerging standard)

Citation Readiness

Author, dates, canonical URLs, language

Extractability

FAQs, tables, definitions, disclosures

Find Your Blind Spots

7 dimensions. 30 seconds. See exactly what's helping and hurting your LLM visibility.

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