Credit Builder
AI recommendation signal analysis across 116 domains for the Credit Builder persona in Credit Cards.
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 Credit Builder 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 Credit Builder, 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 |
|---|---|---|---|---|---|
| openskycc.com | 88 | 0 | 0 | - | +88 |
| self.inc | 71 | - | - | - | +71 |
| petalcard.com | 65 | 22 | - | - | +57 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| creditkarma.com | - | - | 80 | 70 | -50 |
| mastercard.com | - | - | 33 | 100 | -44 |
| reddit.com | - | - | 40 | 91 | -44 |
Fanout: Over- vs. Under-performers
For Credit Builder, 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 |
|---|---|---|---|---|---|
| usbank.com | 47 | 78 | 53 | 35 | +33 |
| capitalone.com | 94 | 100 | 100 | 9 | +32 |
| citi.com | 59 | 67 | - | 61 | +27 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| creditkarma.com | - | - | 80 | 70 | -50 |
| mastercard.com | - | - | 33 | 100 | -44 |
| reddit.com | - | - | 40 | 91 | -44 |
Google AI Overview: Over- vs. Under-performers
For Credit Builder, 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 |
|---|---|---|---|---|---|
| wallethub.com | - | - | 67 | 17 | +61 |
| creditkarma.com | - | - | 80 | 70 | +57 |
| bankrate.com | - | - | 60 | 57 | +41 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| citi.com | 59 | 67 | - | 61 | -62 |
| navyfederal.org | 24 | 33 | - | 74 | -44 |
| openskycc.com | 88 | 0 | 0 | - | -29 |
Organic Google: Over- vs. Under-performers
For Credit Builder, 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 |
|---|---|---|---|---|---|
| mastercard.com | - | - | 33 | 100 | +89 |
| visa.com | - | - | - | 87 | +87 |
| experian.com | - | - | 27 | 96 | +87 |
| Domain | LLM | Fanout | AI Overview | Organic | Gap |
|---|---|---|---|---|---|
| capitalone.com | 94 | 100 | 100 | 9 | -89 |
| chime.com | 82 | 44 | 73 | - | -67 |
| openskycc.com | 88 | 0 | 0 | - | -29 |