best ai visibility tracking tool
This is one of the five queries behind this directory. We sent it to a web search, kept every source the results returned, then asked a model the same question 6 times and recorded which sources it actually cited. 4 of the 10 sources were cited at least once.
What we measured
Measured 2026-10-16 · gpt-oss-20b via text.pollinations.ai (alias "openai") · read the page body · 6 of 6 runs usable for this query
aivisibilityranking.com
AI Visibility Ranking 2026 - Tool Comparison & Rating
search-visibility.ai
AI Search Visibility: Track Your Brand Across 11 AI Models
aeovision.ai
AEO Vision | AI Search Visibility Platform
aiclicks.io
AI Search Visibility Tracking & Optimization Tool
aisearchvisibility.com
AI Search Visibility Tool - Compare Top 10 AI Visibility Tools & Trackers
aisearchoptimizerpro.com
AI SEO Visibility Tracker - Monitor Your AI Search Rankings
aisearchtracker.co
AI Search Tracker - Track Your AI Visibility
elitesiteoptimizer.com
Home - AI Visibility Audit and Remediation Platform
krastie.ai
Ranktune | AI search visibility and content platform
capston.ai
AI Search Visibility, GEO Analytics & Brand Monitoring
Titles and domains come from the pages themselves, so you can find them. The citation count, the rank, the word count and the retrieval access are our measurement, and the method is published in full.
What this query shows
The most-cited source in this pool was aivisibilityranking.com — named in 6 of the 6 runs we could measure.
The page that ranked #1 on entry (aisearchvisibility.com) was never cited once. It sat at the top of the search results and the model still went elsewhere.
The lowest-ranked source that still got cited was search-visibility.ai (#5 on entry, cited 3 of 6 times) — search position and citation are not the same thing.
6 of the 10 sources in this pool were never cited in any run. A zero here is a result we publish, not a result we hide.
1 source was cited in every single run: aivisibilityranking.com.
Across the 6 runs, the set of cited sources overlapped by 0.544 on average (range 0.250–1.000). That is not settled. Who gets cited changes from run to run, which means the slot is still open — this is the kind of query worth working on.
Where this query sits
Of the 5 queries we measured, this one sits #3 on our list of the queries that are still open, ordered by how much the cited set changes between runs.
The other four queries
Questions this query answers
How do you measure AI visibility?
Fix a query, run it through a web search, keep every source the results return, then ask a model the same question repeatedly and record which sources it actually cites. That is the whole method, and it is published in full.
Is one measurement enough?
No. The average overlap between runs on this query is 0.544, so two runs agree on less than that share of the cited set. A single scan is a data point, not a trend.
What is the difference between search rank and citation?
Rank is where a page sat when it entered the retrieval pool. Citation is whether the model quoted it. This pool has 10 sources and 4 of them were cited at least once.