Buy NowFull report access from $374. Launch discount until 9pm Pacific, July 31
oppalerts.com →
Online Travel Agencies

Frequent Business Traveler

Base Terms
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
flight booking
26.0
online travel agency
18.3
hotel booking
13.1
This is a shortened preview of the Online Travel Agencies 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.

Get the full Online Travel Agencies report
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 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

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.