Thin Content
Thin content provides little useful or original information, regardless of word count. Examples include boilerplate, scraped fragments, placeholder location pages, and generic filler. Search engines may decline to index or rank it, and AI systems have few specific claims to cite.
Evaluate thinness by the information provided, not the word count. A 200-word page with current prices and availability can be substantive, while a 1,500-word page of general statements can be thin. If a competitor could reproduce the page without original data, experience, or research, add information that only the business can provide.
Word-count targets often produce introductions that restate the title, unnecessary definitions, and conclusions that repeat the page. This makes answers harder for readers and machines to locate. Cutting repeated material from a thin page can make its useful information easier to find.
Two failure modes are specific to service businesses. Service pages that describe a service in terms that would apply to any provider anywhere — no prices, no timelines, no named people, no photographs of actual work. And location pages that name a city in the heading and nowhere else, which is thin content and a doorway simultaneously.
Search engines may decline to index thin pages or rank them poorly, often without a notification. AI systems may not retrieve them because they contain few specific claims that an assistant can verify and repeat.
Audit page sets in groups, not only one URL at a time. Compare siblings for repeated text, identify sections with no page-specific information, and review indexation and impressions by template. A recurring pattern usually needs a data or template change.
Add original information such as measurements, prices, timelines, completed work, and documented results. Routeless programmatic pages use research data so each page can provide information specific to its market.
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