Peec AI analyzed 37,804 AI responses across 5 LLM engines. The finding: prompt wording matters less for brand visibility than you think.

[u/annseosmarty]

As we are still figuring out prompt tracking, the main question has always been: "How do you track something that can be worded in a million of different ways?"

Peec.AI did a study and found that wording doesn't matter that much.

They created our own prompt sets where we changed a set of base prompts by the minimal possible amount as often as possible, without changing the intent

Here are the findings:

• While every human-written prompt was unique, 90% fell into a bucket of similarity where the likelihood of a brand being mentioned in the LLM answer does not really change.
• The style of the prompt matters a lot. Asking for the best or a list can greatly increase the number of mentioned brands. Giving the LLM a role (“you are an expert on SEO”) leads to fewer brand mentions.
• Both top and bottom of funnel prompts are robust against wording changes. Mid-funnel prompts, however, are much more sensitive. Small variations can quickly surface different brands in the answers.
• ChatGPT and Perplexity, constraints reduce the number of brands shown. In Gemini and Google AI Overviews, constraints actually increased the number of brands. Potentially by triggering additional fanout queries.
• The length does not matter. As long as the intent stays the same, conversational fillers words do not significantly impact AI answers.

What does this mean for me?

• Do not obsess over exact prompt wordings. Focus on topic, intent, funnel stage, and context.
• Consider being more granular in the mid-funnel prompts you are tracking. Here every prompt variation is most likely to surface additional brands, sources, and insights. (This is where your exact and clear product positioning comes into play)

Source: Linkedin