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Credit Cards

Frequent Flyer

Base Terms
Dominant · Reddit Comments ρ=0.640

AI recommendation signal analysis across 136 domains for the Frequent Flyer persona in Credit Cards.

136Domains Tracked
30.1MReddit Posts
42KWikipedia Articles
4.1MOpen Web Matches
Frequent Flyer_persona.report
TermScore
credit card
35.3
travel credit card
18.9
credit cards
12.4
This is a shortened preview of the Credit Cards report

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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About This Report

How to use this page

Persona view: this page is scoped to this persona's queries alone.
Use Case

Start from the root terms

The base vocabulary this persona uses before any modifiers get added. Use it as the trunk of your keyword tree, and to sanity-check that your category language matches theirs.

How It's Calculated

Where the numbers come from

We ask multiple LLMs for this persona's base search terms, then aggregate across models and runs. Score is a rank-weighted sum; count and % are plain tallies.

Overview

What's on this page

Term rankings with per-model filtering and a side-by-side comparison of any two models.

Keyword Data

Base Terms

Phrases and terms LLMs associate with Frequent Flyer, ranked by recommendation strength. Score is a rank-weighted sum across every model (higher-ranked appearances count for more); count and % are plain appearance tallies.

Filter By Model

Base Terms by model

Same ranking as above, scoped to whichever models you select below: pick one, several, or none. Updates automatically as you check/uncheck.

Model Comparison

Compare two models

Pick a model for each column to compare their recommendation patterns side by side.