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Cross-model consensus

ResponseVariation Simulator

Simulate the variation in AI responses for the same query.

Temperature0.70

Higher temperature = more improvisation = less consensus.

83

Cross-model consensus

Higher = tighter agreement across assistants

Four parallel responses
G
ChatGPT
GPT-5 · Browsing
Answered

Expanding on that:

llms.txt is an emerging web standard that tells AI crawlers which parts of your site they can use. It's a sibling of robots.txt but written for GPTBot, ClaudeBot and PerplexityBot. This matters because AI assistants rely on these signals to pick what to cite.1

C
Claude
Claude Opus · Web
Answered

In practical terms:

In practical terms, llms.txt is an emerging web standard that tells AI crawlers which parts of your site they can use. It's a sibling of robots.txt but written for GPTBot, ClaudeBot and PerplexityBot.1

P
Perplexity
Perplexity · Sonar
Answered

The concise version:

llms. It's a 1-2 day lift.1

G
Gemini
Gemini 2.5 · Grounded
Answered

In practical terms:

In practical terms, llms.txt is an emerging web standard that tells AI crawlers which parts of your site they can use. It's a sibling of robots.txt but written for GPTBot, ClaudeBot and PerplexityBot. Most teams ship this first.1

Sources
1
Geolify - What is llms.txt
geolify.com
2
The state of What is llms.txt - 2026 report
g2.com
3
Complete guide to What is llms.txt
reddit.com
4
A practical framework for What is llms.txt
hbr.org

How it works

Type your query, brand, and the core angle. The simulator generates four plausible responses - one per model - by applying different phrasing templates, then scores the consensus based on how focused your angle is. Turn temperature up to see how much variation increases when the model has room to improvise.

Why this matters

You want consensus: across models, across reruns, across sessions. If your consensus score is below 70, your angle is too soft and different assistants will fragment into different answers. Read more in our citation mechanics article.

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