How do I interpret AI mentions data in GeoSnake?

Summary

How to interpret mention charts without overreacting to single shifts.

What this is and why it matters

Mention data becomes more useful when your team looks for patterns, context, and quality rather than treating every movement as equally important.

Open the matching product area from the main dashboard sidebar before troubleshooting. If a feature is plan-gated, GeoSnake shows a lock state or upgrade path instead of the full workflow.

How to use it well

• Start with the prompts or models most tied to business value.
• Look for repeated movement over a real review window.
• Compare mention frequency with narrative quality and proof.
• Tie any trend back to the actions your team recently took.

Helpful tips

• Single-day shifts are less meaningful than repeated patterns.
• Always compare frequency with quality.
• Use charts as a prioritization aid, not a panic trigger.

Possible issues and troubleshooting

• If the feature looks locked, confirm that the current plan includes it before troubleshooting anything else.
• If the results look incomplete, verify that the setup data was saved and that the latest run has actually finished.
• If the page loads but the workflow still feels wrong, compare the current organization, selected filters, and selected model before rerunning anything.

What to do next

After this workflow is clear, connect it to a weekly review habit so the team uses the feature to make decisions instead of only reading data.