This experiment looked at three sets of prompts (100 each) — brand, “soft-brand”, and non-brand — all of them based on the topic “seo tools” and a handful of pre-selected brands. We intentionally kept the scope narrow, and within a domain we understood well. Of course, results may vary across different topic areas.
Brand prompts
This is the most straightforward group. Brand prompts contained a brand name or branded product directly in the prompt. Some examples include:
Note that brand prompts could include brands or branded products and metrics.
Soft-brand prompts
The “non-brand” prompts were split into two groups. The soft-brand group used our query fan-out research to generate prompts in an open-ended way. Examples include:
There’s a bias inherent in our topic — questions about seo tools are naturally going to include specific tools and brands in the answers. So, even without including a brand-name or biasing the system toward brands, we’ve already created a soft brand bias.
Non-brand prompts
Given the topic bias, we nudged the system to generate prompts that were more tool-adjacent, resulting in broader, informational questions. For example:
We’ll call these our true non-brand prompts. Even from these few examples, it’s probably clear that the line between non-brand and “soft-brand” is a gray one and depends a lot on the topic. Brand mentions are an on/off switch, but brand bias is a volume knob.
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