What does the lists & tables check look for?
It looks for genuine structured content — bullet/numbered lists and tables that carry real information — in proportion to your content. Specifically:
- Meaningful lists —
<ul>or<ol>used for steps, options, pros/cons or criteria, not navigation styled as bullets. - Tables —
<table>markup for comparative or specification data. - Fit to content — that enumerable content is actually presented as a list/table rather than buried in a paragraph.
Meaningful lists and/or tables present passes; minimal use is a warning; no lists or tables on clearly enumerable content is a fail.
How is it evaluated, and how is it scored?
GEObubbly counts your <ul>/<ol> and <table> elements relative to the content and checks they carry real information rather than acting as navigation. It's a core GEO / LLM Readiness check worth 3 points, because lists and tables map directly onto how answer engines format and quote information.
Why lists and tables matter for GEO
Analyses of AI answers show that lists appear in a large majority of them. That's because a list is pre-structured, self-contained information — the easiest possible thing for an engine to extract and present. The same goes for tables when the data is comparative or spec-like. So where your content is genuinely enumerable — a set of steps, options, criteria, pros and cons, or specifications — presenting it as a real <ul>/<ol> or <table> packages it in the exact shape an engine wants to quote. Bury the same information in a dense paragraph and you make the engine do extra work to pull it apart, so it often reaches for a competitor whose version is already formatted. Use lists and tables where they fit the content — meaningful items, not decoration — and they double as a readability win for human skimmers. They reinforce chunking and answer-first structure across GEO / LLM Readiness.