What raw answers are for
Raw answers give you the most direct view of your AI visibility data. Instead of only looking at scores, mentions, or tables, you can read the actual answer. This helps you understand:- how your brand was mentioned
- why competitors appeared
- which sources were used
- whether the answer was accurate
- what information may be missing
- what content could improve the answer
When to use raw answers
Use raw answers when a result needs more context. They are especially useful when:- your brand is missing from an important prompt
- your brand appears lower than expected
- a competitor is being recommended
- a source is cited often
- an answer looks incorrect or outdated
- you want to understand why Serpy suggested content
What to look for
When reviewing a raw answer, look for:- whether your brand is mentioned
- where your brand appears
- how your brand is described
- which competitors are included
- what reasons are given for recommendations
- which websites are cited
- what questions the answer does not fully cover
Comparing answers across models
Different AI platforms may answer the same prompt differently. One model may mention your brand, while another may not. One model may cite your website, while another may rely on third-party sources. Use raw answers to compare how your brand appears across different platforms and understand where visibility is strongest or weakest.Using raw answers for content ideas
Raw answers can help you find content opportunities. Look for:- questions the answer covers poorly
- competitor claims you can respond to
- missing explanations
- comparison topics
- service or product details users may need
- sources that seem to influence the answer
Recommended workflow
When reviewing raw answers:- Select an important prompt.
- Read the full answer.
- Check brand mentions and competitors.
- Review citations and sources.
- Look for missing information.
- Decide whether to create content, update content, or improve source coverage.