A 0% score in AI Visibility (formerly LLM Visibility) means your brand was not mentioned by that AI platform during the snapshot period. A dash or empty cell in that same column means the platform was unavailable and no data was collected — not that your visibility was zero.
📊 What a 0% Visibility Score Means
When AI Visibility (formerly LLM Visibility) shows 0% for a platform, that platform responded successfully and returned results — but your brand did not appear in any of those responses during the snapshot period.
A genuine 0% is an actionable signal:
- The platform (for example, ChatGPT, Gemini, or Perplexity) was queried and returned responses.
- Your brand was not cited or mentioned in any of those responses.
- You have a confirmed visibility gap for that platform that content and optimization work can address.
⚠️ What Missing Platform Data Looks Like
When a platform was unavailable during a snapshot — due to an outage, a provider failure, or no successful responses being collected — the dashboard displays a dash (—) or blank cell instead of a number.
A missing-data indicator means:
- The platform did not return usable results for that snapshot.
- No visibility score — positive or zero — could be calculated.
- The result is excluded from aggregated totals so it does not skew your overall visibility percentage.
A dash is a data gap, not a performance measurement. Do not treat it as evidence that your brand visibility dropped.
💡 Why This Distinction Matters for Your Analysis
Treating a data gap as a 0% result leads to incorrect conclusions:
- False alarm: You may think a platform stopped mentioning your brand when it was simply offline for one snapshot cycle.
- Skewed trend lines: If a collection failure were counted as 0%, your overall visibility trend would appear to drop even though no real measurement was taken.
- Misdirected effort: Optimizing content for a platform that was merely unavailable wastes resources until accurate data confirms a genuine gap exists.
Search Atlas separates these two states so your trend lines and aggregated scores reflect real brand mentions only — never unfilled data gaps.
🛠️ Common Causes of Missing Platform Data
A platform entry shows missing data when any of the following occur during a scheduled snapshot:
- Provider outage: The LLM provider (for example, OpenAI, Google, or Perplexity) experienced downtime during the snapshot window.
- Data-collection failure: An upstream collection service experienced an error and could not retrieve responses for that platform during the snapshot run.
- No successful response: The platform returned errors or rate-limit responses for every query attempt in that snapshot, leaving no usable data to score.
These events are outside your control. Search Atlas retries failed snapshots automatically where possible and shows a missing-data indicator when no retry succeeded.
📋 What to Do When a Platform Shows No Data
- Check adjacent snapshots. Open the date range picker and review the snapshots immediately before and after the gap. If neighboring periods show normal scores, the gap is an isolated collection failure — not a visibility trend.
- Compare across platforms. If multiple platforms show missing data on the same date, a broader outage likely affected that entire snapshot, not just one platform.
- Wait for the next scheduled snapshot. Search Atlas collects new platform data on your configured snapshot schedule. Once the next snapshot completes successfully, that platform's score updates automatically.
- Contact Support if gaps persist. If a platform consistently shows missing data across multiple consecutive snapshots, contact the Search Atlas support team so they can investigate the collection pipeline for your account.
You do not need to change any settings or trigger a manual snapshot — data collection resumes automatically on the next scheduled run.
🎯 You can now tell the difference between a genuine 0% visibility result and a platform data gap, so your optimization decisions are always based on real brand-mention data — not collection failures. For next steps, review your AI Visibility (formerly LLM Visibility) trend report to identify platforms where your brand consistently scores 0% and where content improvements will have the most impact.