I asked AI to rank popular travel blogs for their authenticity, here's what I learned

Over the past months I’ve been increasingly curious whether AI can still distinguish between scaled travel content and writing based on genuine first-hand experience.

So I ran a small experiment.

I tested this across multiple prompts and evaluation criteria to see whether consistent patterns would emerge.

I asked AI a simple question: "which travel blogs still show strong signals of first-hand experience in 2026?"

Instead of focusing on popularity or traffic, I asked it to evaluate signals such as:

• depth of observation
• specificity of details
• structure and practical usability
• consistency across articles
• what I call data density (information that is difficult to generate synthetically at scale)

The results were surprisingly consistent. Several well-known blogs appeared exactly where expected - but a few unexpected ones showed up as well.

What interested me most was not the ranking itself, but the reasoning behind it.

Across multiple prompts, AI repeatedly highlighted the same indicators of authenticity: first-hand specificity, narrative continuity, logistical detail, and decision-level guidance rather than generic inspiration content.

In other words, signals that are increasingly relevant in an era of large-scale AI-assisted publishing, especially as many travel blogs are currently experimenting with AI-assisted workflows.

I described the full methodology and results on my website: en.gancarczyk.com/The-best-English-language-travel-blogs-according-to-AI-ranking--justification-for-the-choice-and-my-commentary/

I’d be very curious whether others here observe similar patterns when comparing experience-driven blogs with template-style travel content.