How to check LLM search visibility

Beta

Use Boki's LLM search visibility agent to predict how well AI systems will cite your content.

Overview

The LLM search visibility agent scores your content against a specific question. It predicts whether an LLM (like ChatGPT, Claude, or Perplexity) would cite your content when answering that question.

This is not SEO rank. Traditional SEO measures search engine ranking. LLM visibility measures whether AI systems reference your content in their generated responses — GEO (Generative Engine Optimization).

Prerequisites

An article with substantial content
At least 50 words of text to score
A specific question to score against

Steps

Open your article in the editor
Select the text you want scored (minimum 50 words)
Click the sparkle icon that appears, or right-click and select "Ask Boki"
Choose LLM visibility from the options
Enter the question you want to score against
Wait for the analysis

What the visibility score measures

Question alignment: Does your content directly answer the question?

Comprehensiveness: Does your content cover the topic thoroughly enough to be a primary source?

Authority signals: Does your content include elements that LLMs weight highly — clear definitions, structured information, cited sources?

Differentiation: Does your content offer something not found in the top-ranking sources?

Example

You select a section about API rate limiting and enter the question:

"How do I implement rate limiting in a REST API?"

The LLM visibility agent might respond:

Score: 72/100
Strengths: Clear step-by-step implementation, code examples, covers common edge cases
Gaps: Missing comparison of rate limiting algorithms (token bucket vs sliding window), no mention of distributed rate limiting
Suggestion: Add a section comparing approaches — LLMs often cite content that presents multiple options

Understanding the score

Score	Interpretation
80-100	Strong — likely to be cited as a primary source
60-79	Moderate — may be cited, but competing content is stronger
40-59	Weak — unlikely to be cited without significant improvements
Below 40	Poor — content doesn't adequately address the question

Result

After checking LLM visibility, you'll have:

A score indicating citation likelihood
Specific gaps compared to competing content
Actionable suggestions for improvement

Tips

Test multiple questions: The same content scores differently against different questions. Test the questions your audience actually asks.

Focus on specific questions: "What is API rate limiting?" scores differently than "How do I implement rate limiting in Node.js?"

Iterate and re-score: Make improvements, then check the score again.

LLM visibility explained — What LLM visibility means and why it matters
Technical review — Check accuracy before checking visibility
Agent reference — LLM visibility specifications

How to check LLM search visibility

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