Neutral
AI recommendation signal analysis across 127 domains for the Neutral persona in Colleges Universities.
Many tables and charts on this page show only the top few results; the full data behind them runs far deeper. The complete report unlocks every row, chart, and download for this industry.
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Compare channels at a glance
See which domains win each discovery channel, and where a brand is strong in one but missing from another. Use the over- and under-performer tables to find channels where competitors hold an edge you can close, or gaps you can take first.
Where the numbers come from
LLM, Fanout, and Organic columns use a rank-weighted score: a domain at position 1 counts for more than one at position 10, summed across every query run. AI Search is a plain citation count because Google's AI Overviews carry no rank data.
What's on this page
Side-by-side rankings for LLM recommendations, web-search fanout, Google's AI Overviews, and organic results, plus an aggregate view and per-channel over/under-performer callouts.
LLM vs Fanout vs AI Search vs Organic
Compare recommendation patterns for Neutral across four channels side by side: pick a model for LLM and Fanout, toggle Google/Bing for Organic. AI Search has no model choice (it's Google's own AI Overview, a single source, not a multi-model API) and no rank field, so it's shown as a plain citation count rather than a rank-weighted score like the other three.
The two boxes below the four channel charts offer several views of the same data; use the tabs to switch charts. Every view derives from the four charts' data directly, normalized 0-100 within each channel, and updates with the same dropdowns.
Pure LLM: Over- vs. Under-performers
For Neutral, domains ranked by percentile rank within each channel (100 = top domain in that channel, 0 = present but ranked last, a dash = never appeared in that channel's results at all). Over-performers (left) rank far better in Pure LLM than they do on average across Fanout, Google AI Overview, and Organic Google. Under-performers (right) are the mirror case: domains that do well across Fanout, Google AI Overview, and Organic Google but rank poorly, or don't appear at all, in Pure LLM.
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| harvard.edu | 100 | 56 | - | - | +82 |
| berkeley.edu | 73 | - | - | - | +73 |
| stanford.edu | 87 | 78 | - | - | +61 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| usnews.com | - | - | 100 | 100 | -67 |
| reddit.com | - | - | 91 | 97 | -63 |
| bigfuture.collegeboard.org | - | - | 96 | 88 | -61 |
Fanout: Over- vs. Under-performers
For Neutral, domains ranked by percentile rank within each channel (100 = top domain in that channel, 0 = present but ranked last, a dash = never appeared in that channel's results at all). Over-performers (left) rank far better in Fanout than they do on average across Pure LLM, Google AI Overview, and Organic Google. Under-performers (right) are the mirror case: domains that do well across Pure LLM, Google AI Overview, and Organic Google but rank poorly, or don't appear at all, in Fanout.
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| imperial.ac.uk | 33 | 89 | - | - | +78 |
| mit.edu | 93 | 100 | - | - | +69 |
| stanford.edu | 87 | 78 | - | - | +49 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| usnews.com | - | - | 100 | 100 | -67 |
| reddit.com | - | - | 91 | 97 | -63 |
| bigfuture.collegeboard.org | - | - | 96 | 88 | -61 |
Google AI Overview: Over- vs. Under-performers
For Neutral, domains ranked by percentile rank within each channel (100 = top domain in that channel, 0 = present but ranked last, a dash = never appeared in that channel's results at all). Over-performers (left) rank far better in Google AI Overview than they do on average across Pure LLM, Fanout, and Organic Google. Under-performers (right) are the mirror case: domains that do well across Pure LLM, Fanout, and Organic Google but rank poorly, or don't appear at all, in Google AI Overview.
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| scholaro.com | - | - | 77 | - | +77 |
| usnews.com | - | - | 100 | 100 | +67 |
| bigfuture.collegeboard.org | - | - | 96 | 88 | +66 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| mit.edu | 93 | 100 | - | - | -64 |
| stanford.edu | 87 | 78 | - | - | -55 |
| harvard.edu | 100 | 56 | - | - | -52 |
Organic Google: Over- vs. Under-performers
For Neutral, domains ranked by percentile rank within each channel (100 = top domain in that channel, 0 = present but ranked last, a dash = never appeared in that channel's results at all). Over-performers (left) rank far better in Organic Google than they do on average across Pure LLM, Fanout, and Google AI Overview. Under-performers (right) are the mirror case: domains that do well across Pure LLM, Fanout, and Google AI Overview but rank poorly, or don't appear at all, in Organic Google.
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| topuniversities.com | - | - | - | 95 | +95 |
| bestcolleges.com | - | - | - | 93 | +93 |
| princetonreview.com | - | - | - | 86 | +86 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| mit.edu | 93 | 100 | - | - | -64 |
| stanford.edu | 87 | 78 | - | - | -55 |
| harvard.edu | 100 | 56 | - | - | -52 |