RankMath stores a large amount of SEO-critical data outside the main WordPress editor: SEO titles, meta descriptions, Open Graph fields, Twitter card data, canonical settings, and schema markup. A translation workflow that only touches the visible page content leaves all of this in the source language, which means a fully translated page can still show an English title and description in French search results. Here is what needs to be covered, and how AI translation handles each RankMath field.
What RankMath Stores That a Translation Plugin Might Miss
RankMath saves its data as post meta, separate from post_content. That includes the SEO title and meta description shown in search results, the Open Graph title, description and image used when a page is shared on social media, Twitter card overrides, the canonical URL, and any schema.org markup configured for the page. None of these fields are visible in the block editor, so they are easy to overlook during a translation project, even after the page body itself reads correctly in the target language.
Field-by-Field: How AI Translation Handles RankMath Metadata
| RankMath Field | Translation Handling |
|---|---|
| SEO Title | Translated and checked against the target language’s typical title length, since character counts vary between languages. |
| Meta Description | Translated as persuasive search-snippet copy, not a literal sentence-by-sentence translation, since it directly affects click-through rate. |
| Open Graph Title & Description | Translated separately from the SEO title and description, since social sharing copy often reads differently from a search snippet. |
| Canonical URL | Left pointing at the correct language version of the page rather than being translated as text. |
| Schema Markup | Text fields inside JSON-LD (name, description) are translated; structural fields (@type, URLs) are left untouched. |
| Focus Keyword | Not machine-translated by default; requires target-language keyword research rather than a literal conversion of the source keyword. |
Why Translating the Focus Keyword Field Doesn’t Work Like You’d Think
The RankMath focus keyword field is an SEO analysis input, not visible content, and a literal translation of it is rarely the term people actually search for in another language. The English keyword “custom fields” does not map onto a single natural German or Japanese equivalent the way a sentence does. Getting this field right takes target-language keyword research, not translation, which is why it is worth treating separately from the rest of the metadata during an AI-assisted localization project.
Structured Data and Schema Markup Across Languages
Schema markup mixes structural fields that must stay identical across every language version, like @type and reference URLs, with text fields that should read naturally in each language, like name and description properties. Treating the whole JSON-LD block as one string to translate risks breaking valid schema syntax or translating fields that should not change. Parsing the schema at the field level, the same way ACF or Yoast fields are parsed, keeps the markup valid while still localizing the parts that show up in rich results.
How GPTranslate Handles RankMath Fields
GPTranslate reads RankMath’s post meta fields directly and translates SEO titles, meta descriptions, Open Graph data, and schema text fields as part of the same job that translates the page body, following the same approach covered in our guide to translating SEO titles and meta descriptions with AI. Canonical URLs and hreflang relationships are managed automatically, which ties into the broader multilingual SEO structure covering URLs, metadata and sitemaps across every translated page.
Checklist Before Publishing a Translated Page with RankMath
- SEO title and meta description are translated, not defaulting back to the auto-generated source-language version.
- Open Graph title, description and image are checked separately from the SEO snippet fields.
- Canonical URL points to the correct language version, not back to the source-language page.
- Schema markup text fields are translated while @type and structural fields remain untouched.
- The focus keyword has been researched for the target language rather than translated literally.
Frequently Asked Questions
Does AI translation update RankMath’s SEO score for the translated page?
RankMath recalculates its on-page SEO analysis based on the live content and metadata in whichever language is being viewed, so once the translated fields are saved, the analysis reflects the translated version.
Should the meta description be translated word for word?
No. A meta description works as marketing copy for a search result, so a natural, persuasive translation that fits the target language’s phrasing typically outperforms a literal, sentence-by-sentence conversion.
What happens to the RankMath sitemap when pages are translated?
Translated pages need to appear in their own language-specific sitemap entries with correct hreflang relationships, which is a separate configuration step from translating the metadata fields themselves.
Conclusion
RankMath’s metadata fields carry as much SEO weight as the page content itself, sometimes more, since they are what actually appears in search results and social shares. Translating the body text while leaving RankMath’s SEO title, description, Open Graph data and schema markup in the source language is one of the most common and most damaging gaps in a multilingual WordPress project. Treat every RankMath field as part of the translation job, not an afterthought, and check the checklist above before marking a translated page ready to publish.