Most travel content on Instagram and TikTok starts with the photo and works backward to the city. Researching the other way around works better: read, cross-reference, and question a destination before settling on a single “best cafe”, because a guide built on top-ten listicles ends up recommending the same six places everyone else already recommends. Here is a workflow for doing that, in order.
Layer 1: Official Tourism Boards (Skeptically)
Start with the official tourism board for the country and city. Not because they’re honest — they’re paid to make the place look good — but because they’re a structured baseline. They show what festivals are happening, what the major transit projects look like, and which neighborhoods the government wants tourists to think of as safe. That last bit is useful both for the recommendation and for the inverse: if a tourism board never mentions a district, it’s worth asking why.
Read the official site, then immediately discount anything that sounds like a press release. Phrases like “vibrant cultural hub” and “hidden gem” deserve a strikethrough in your notes. What to keep: opening hours for public museums, current visa rules, train and metro maps, and the dates of any seasonal closures. Tourism boards are reference material, not opinion sources.
Layer 2: Wikivoyage and Wikipedia (Crowd-Sourced, Honest)
Wikivoyage is a hugely useful and underrated travel resource. It’s a free, volunteer-edited sibling project to Wikipedia, and its policy against touting says not to use Wikivoyage as a tool for advertising or promotion. The tone is dry — almost wiki-bureaucratic — and that’s part of why it’s useful. Entries are meant to be informational rather than sales copy.
Read the full Wikivoyage page for the country, then the city, then the specific district if it exists. Pull out the scams and warnings listed in the “Stay safe” section, the main sights in the “See” section, and — critically — the “Get in” and “Get around” sections. Since anyone can edit Wikivoyage, cross-check anything important against an official source.
Wikipedia gets a parallel read for history, demographics, and politics. You can’t write honestly about a place without knowing what happened there in the last fifty years. Skipping this step is how influencers end up posting cheerful brunch reels from sites of recent atrocity.
Layer 3: Reddit r/Travel + Country-Specific Subs (Locals & Recent Visitors)
After the wiki layer, switch from reference to opinion — and Reddit is a good place for that. The country- and city-specific subreddits (r/japan, r/portugal, r/mexicocity, etc.) often include residents, which means you can read what they complain about, what they recommend to visiting cousins, and which neighborhoods they roll their eyes at. r/travel and r/solotravel tend to feature travelers’ recent trip reports, which is good for the “what surprised you?” angle. Keep in mind that you can’t confirm who anyone is on Reddit.
One trick: search the subreddit for the destination name plus a year, sorted by top. For Lisbon, that means searching “Lisbon 2025” and “Lisbon 2024” — that surfaces the threads where people compared notes after recent trips. Also search for “tourist trap,” “overrated,” and “scam” — the negative searches teach more than the positive ones.
Don’t quote Reddit users by name, and don’t lift specific restaurant recommendations from a single comment. Look for patterns. If five separate threads in two years all say the same thing — that’s signal. If one comment with three upvotes says it — that’s noise.
Layer 4: AI Tools (Where They Help, Where They Hallucinate)
AI tools such as Claude (Anthropic) and ChatGPT (OpenAI) can help with three things: brainstorming the structure of a guide, double-checking facts you already half-know, and translating menus or signage from photos.
They are not reliable as a source of facts: the output is fluent and can be confidently wrong. AI tools hallucinate restaurant names, invent neighborhood histories, and conflate similarly-named towns.
So the rule: AI is a research assistant, not a research source. Anything an AI says should be checked against the wiki layer or an official source before it ends up in a draft. The places where AI genuinely helps: structuring an outline, generating a checklist of “things a guide about X should probably mention,” and translating offline material.
The other tool in this layer is offline maps. Maps.me offers offline maps that work without a data connection, which matters in the moment. Whichever offline map app you use, save the places you find during research — Wikivoyage sights, recommended districts, Reddit-flagged scam zones — if the app lets you, so that by the time you land in a city, the map already knows what you know.
Layer 5: One Local Voice (Newsletter, Friend, Tour Guide)
This is the layer most blogs skip, and it’s the one that makes the difference. Before relying on a plan, get at least one human who actually lives in the place to read the draft or answer questions over email. That could be a friend-of-a-friend, a local tour guide hired for half a day and treated as a paid consultant rather than a tour, or a local journalist whose newsletter you subscribe to.
A local voice catches things no amount of reading can. They can tell you a “famous” market is now mostly tour buses, that a metro line is under renovation, or that a restaurant a major newspaper recommended has new owners and is no longer good. They also catch language errors — the kind of small misspellings of street names that mark a guide as outsider-written.
Compensate local consultants. Not always in money — sometimes in a clear credit line, sometimes in a meal — but make the relationship explicit.
What to Ignore: Top-10 Listicles and Influencer “Best Cafe” Reels
Don’t treat other travel blogs as primary research. Not because the people who write them are bad — many are excellent — but because the top-10 listicle ecosystem is a feedback loop. Blog A copies Blog B copies Blog C, and the same few places get recommended over and over. Reading those guides would only teach you to write the same guide.
Ignore influencer reels for specific recommendations too. A reel about a cafe tells you almost nothing about whether the coffee is good — only that the wall was photogenic on a Tuesday afternoon in a particular light. Reels are fine for visual inspiration (this neighborhood looks worth walking), not for restaurant picks.
The exception: long-form YouTube videos by full-time travel creators who spend weeks in a place. Those are essentially video versions of this workflow, and a good one can replace half of Layer 3.
FAQs
What’s the most underrated travel research source?
Wikivoyage. It’s the travel-focused sibling of Wikipedia, it has a policy against advertising and promotion, and it’s volunteer-edited rather than written by marketers. The tone is dry, which is a plus in a travel source. It’s a good place to start, though anyone can edit it, so cross-check anything important.
Why not trust Top 10 listicles?
Because most of them are copying each other. The top-10 ecosystem is a feedback loop where Blog A cites Blog B which cited Blog C which cited a tourism-board press release. Reading those guides only teaches a writer to produce more of them. It’s better to read one honest Wikivoyage page and one angry local Reddit thread than ten ranked listicles.
Sources
- Wikivoyage main page
- Reddit r/travel
- Lonely Planet
- Atlas Obscura
- Wikipedia: List of national tourism organizations
- Maps.me
Hero photo: see public/images/blog/how-to-research-a-destination-hero.json. Inline photos: see docs/image-licenses/how-to-research-a-destination.md.
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Last updated 2026-10-29.