I'm having trouble getting consistent AI visibility reports

I can help with that. “AI visibility reports” can mean a few different things, so inconsistencies usually come from one of these areas:

• Data source mismatch: different tools are pulling from different platforms, time ranges, or keywords
• Tracking setup issues: tags, pixels, UTMs, or event definitions aren’t consistent
• Attribution differences: last-click vs data-driven vs modeled conversions
• Sampling / thresholding: some reports are based on incomplete or privacy-filtered data
• Refresh timing: one report updates daily, another hourly, another with delay
• Prompt / query variation: if you’re generating reports with AI, small wording changes can produce different outputs
• Metric definition drift: “visibility,” “share of voice,” “mentions,” and “rank” may not be using the same logic across reports

To narrow it down, tell me:

1. What kind of AI visibility reports are these?

   • SEO / brand mentions in AI tools
   • ad campaign visibility
   • internal analytics dashboards
   • AI-generated summaries of your data

2. What’s inconsistent?

   • totals
   • rankings
   • trends over time
   • named entities / mentions
   • conversion attribution

3. What tools are involved?

   • Google Analytics, Search Console, SEMrush, Ahrefs, HubSpot, custom dashboard, etc.

4. How are you generating the reports?

   • manual exports
   • automated dashboard
   • prompts to an LLM
   • scheduled reports

If you want, I can also help you diagnose the issue step by step or create a standardized report template so the outputs stay consistent.