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Airlines

Miles Maximizing Loyalist

Content Phrases
Dominant · SE Outbound Links ρ=0.550

AI recommendation signal analysis across 156 domains for the Miles Maximizing Loyalist persona in Airlines.

156Domains Tracked
8.3MReddit Posts
6,584Wikipedia Articles
1.4MOpen Web Matches
Miles Maximizing Loyalist_persona.report
TermScore
elite status
32.5
frequent flyer program
21.2
airline miles
8.1
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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

Speak the language LLMs expect

These are the phrases AI models associate with this market. Work them into your pages and positioning so you describe your offer in the same vocabulary the models use when matching brands to buyer questions.

How It's Calculated

Where the numbers come from

We ask multiple LLMs which content phrases they associate with this industry or persona, then aggregate across models and runs. Score is a rank-weighted sum; count and % are plain tallies.

Overview

What's on this page

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

Keyword Data

Content Phrases

Phrases and terms LLMs associate with Miles Maximizing Loyalist, 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

Content Phrases 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.