100 test pages are enough to reveal where a programmatic launch will break

Start with a small batch that covers your main page patterns: category, product, location, comparison, and long-tail intent. Make sure each template answers a real search task, not just swaps keywords. If two URLs would read the same with different slugs, the dataset is too thin.

Before scaling, check three things on every sample page: unique title and H1, one clear primary entity, and a block of content that changes by record, not by template. Add internal links only where the page helps a user move deeper; avoid creating a spiderweb of near-identical URLs.

Then review the pages like a search engine would. Ask: can this page stand alone, is the intent obvious in the first screen, and does it add information that the parent page does not? If the answer is weak on most samples, fix the dataset or merge page types before you generate more URLs. 🔍

Once the test batch holds up, expand in layers: one page family at a time, one rule change at a time. That makes indexing, QA, and debugging easier. The safest launch is not the fastest one; it is the one that can survive a manual review without looking thin.