TOOLS

Semantic validator

Measure the semantic proximity between a prompt and your text.
High scores improve your chances of being cited by chatbots.

0 = unrelated, 1 = identical
≥ 0.6 safe to publish, ≥ 0.8 high alignment (rare)

Select model
Insert your prompt
Select your source
Analyze from URL
Analyze from text
Text is too long
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Your result

Semantic proximity score

0.46

Meaning
RELATED
Explanation
This means that your text is relevant, but not too much.
Model
ChatGPT/OpenAI

Understanding your score

Score ChatGPT
Score Gemini
Meaning
Explantion
1.0
1.0
Identical
Non-existent in real-world writing. If you see this, the content is a mirror image of the prompt.
0.95 - 0.99
0.85 - 0.99
Near-identical
Very rare. This shows an extremely high alignment with the model's expectations.
0.8 – 0.94
0.65 – 0.84
The sweet spot
Rare. It shows high semantic alignment. This may be the goal for any high-priority content.
0.6 – 0.79
0.5 – 0.64
Same topic
Safe to publish. It's relevant enough to be visible. You can improve it if you want a higher citation chance.
Below 0.6
Below 0.5
Broad or weak
Too broad or unrelated. AI models will view this as a "miss" and prefer other sources.
Talk to an expert

How to use

1. Choose the model

ChatGPT or Gemini.

2. Choose the prompt

Enter the exact query you want your content to be visible for in AI search results. Examples: "Best email marketing software", "How to automate sales workflows". If you aren't sure what to pick, check our guide on which prompts to track.

3. Choose the draft

Paste the URL or plain text you want to analyze. You can use any type of content: a published blog post or product page, a polished draft from your content team, or raw AI-generated text you are thinking about publishing.

Voila!

Get the score.

Two essential questions about the validator

Is citation guaranteed?

No. High semantic proximity is the foundation, but it is not the only factor. The model's final selection for a citation is also influenced by your domain trust, the technical health of your site, the overall semantic scope of the topic, and other factors.A high score means you have the right "key" to open the door, but the model still checks your credentials before letting you in.

What should I do next?

If you are serious about AI optimization, start by building a list of prompts specific to your brand. Use this tool to ensure your content achieves a high proximity score for those queries. Then, verify the results by creating a free report on Turbine to track your actual citations and visibility over time.

Make LLMs choose you

We analyze all your content at scale and suggest new versions with higher semantic proximity.

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The research

>> More publications

Access our findings

The algorithms change daily. We track thousands of prompts and publish our internal experiments on prompt volatility, ranking factors, and semantic gaps.

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