Build a table AI engines can actually lift

A table is structured and self-contained: rows and columns with named headers, no surrounding prose to parse. That makes it easy for an AI engine to lift a whole row or the full table as the answer to a 'X vs Y' question, which is exactly the kind of query these tables tend to answer.

AI engines and screen readers both rely on real table markup: <table>, <caption>, <th scope="col"> for column headers, <th scope="row"> for the feature column. A grid of styled <div> elements looks like a table visually but carries none of that structure, so it is much harder for an engine to parse cleanly and cite.

Be honest. A table that only ever favors your product reads as marketing and AI engines, like people, are more likely to distrust and skip it. A table with a few genuine wins for competitors reads as credible, and credible tables are the ones that get cited and quoted.

It names the compared products as a structured list in the page's schema markup, giving AI engines and search crawlers an explicit signal for what entities the page is comparing. It supplements the HTML table; it does not replace it.

Near the top of a dedicated comparison section, after a short paragraph naming what is being compared and why. AI engines tend to weight content near clear headings and early in a section, so burying the table at the bottom of a long page makes it less likely to get picked up.

No. The table, the preview and both exports are all built locally in your browser with plain JavaScript. Nothing you type is sent to our server or stored anywhere.