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Online Travel Agencies

Frequent Business Traveler

Content Phrases
Dominant · Avg Search Engine Rank ρ=0.525

AI recommendation signal analysis across 97 domains for the Frequent Business Traveler persona in Online Travel Agencies.

97Domains Tracked
30.2MReddit Posts
20KWikipedia Articles
5.6MOpen Web Matches
Frequent Business Traveler_persona.report
TermScore
business travel booking
17.9
frequent business traveler
12.5
business travel
10.9
This is a shortened preview of the Online Travel Agencies report

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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 Frequent Business Traveler, 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.