SERP features and ranking page types by search intent

Counts are results pages showing each feature, out of 170.

The pattern is consistent: when the query implies an action, such as checking a redirect or generating a sitemap, Google ranks tools. When it implies evaluation, such as alternatives to a product, it ranks lists and comparisons. When it implies learning, it ranks guides. AI SEO tool and service queries are mixed, with guides and lists close together, which reflects mixed intent between learning about a category and shortlisting vendors.

Forum and community threads took 24 percent of results for CMS and platform queries, such as whether Wix or Framer is good for SEO, and 17 percent for Search Console troubleshooting queries. Those are questions where searchers value first-hand experience. Pages that bring first-hand evidence, such as tests and screenshots, are better placed to compete there than generic guides.

Every page in our plan was matched to the dominant format of its results page. Tool queries became free tools rather than articles, alternatives queries became comparison pages, and informational queries became guides with tables and dated evidence. Where results were mixed, we built the format that best served the main intent and linked to the others.

Mixed results pages deserve a second look before building. When guides and lists split the top ten, check which type holds the first three positions and which answers the main question better, then build that format and link to a page in the other format if one exists.

Page-type classification is rule-based and imperfect; a vendor guide titled 'best tools' is counted as a list. Families have different sample sizes, from 6 to 36 queries. One snapshot in time for one market. SerionFlow uses this kind of check before building pages; for tracking SERP features over time, a rank tracker with feature tracking is the better tool.