How we write, what standards we hold ourselves to, and how AI and human judgment work together on Placetra.
Every piece of content on Placetra — whether written by humans or generated by AI — follows these principles.
Every factual claim is sourced from verified data. We don't guess, assume, or extrapolate. If we can't verify it, we don't publish it.
AI-generated content is labeled. Data sources are documented. We're upfront about what we know, what we inferred, and what might be outdated.
Place descriptions are informative, not promotional. We describe what a place offers — amenities, features, atmosphere — without endorsing or criticizing.
We treat every correction as a signal. Community feedback, owner updates, and automated checks all feed back into our content quality pipeline.
Place descriptions aim to inform, not sell. We describe what a place is, what it offers, and what visitors have noted — not why someone should go there. The reader should be able to make their own decision based on the facts presented.
Content is organized into clear sections — about, amenities, highlights, hours, reviews. Visitors scanning a page should find relevant information within seconds, not paragraphs. We favor short, factual sentences over long prose.
Whether it's a global chain or a neighborhood shop, every place page follows the same template and tone. Consistency builds trust — visitors know what to expect and where to find information on any page.
Content respects local context. Currency, address formats, operating norms, and cultural references reflect the place's actual location — not a generic global template.
We never invent menu items, amenities, or features that aren't present in source data. If data is missing, the section is hidden — not filled with guesses.
We don't declare a place "the best" or rank places by subjective quality. Ratings reflect aggregated user reviews, not editorial opinion.
Descriptions never read like advertising. We avoid superlatives ("amazing," "must-visit," "best in town") unless they're direct quotes from verified reviews.
Every factual statement has a data source. Review insights cite aggregate review data. Operating hours cite the maps API or owner submission. Nothing floats unsourced.
If a listing is promoted or sponsored, it's clearly labeled. Organic content and paid placement are always visually distinct. We never mix the two.
AI handles scale. Humans handle nuance. Together, they produce content that's both comprehensive and trustworthy.
Generating summaries from structured data fields. Categorizing amenities into consistent labels. Extracting review themes and sentiment patterns. Creating "best for" recommendations based on features. Normalizing data formats across sources.
Reviewing flagged content for accuracy. Handling edge cases and disputes. Setting editorial guidelines and tone. Curating collections and featured content. Responding to community feedback and corrections.
"AI writes the first draft. Data validates it. Humans decide if it meets our standard. This three-layer process ensures that scale never comes at the cost of trust."
If you have concerns about content accuracy, editorial standards, or AI-generated text on any page, we want to hear from you.
