Compare AI answers across languages without losing the test context.

A company name or model family is not a complete test configuration. Record the application or API, displayed model or mode when available, enabled tools, supplied files and whether search actually ran. Mark unavailable details as unknown rather than guessing them.

Claude web-search guidance describes enabling search, visible search activity and source citations. Mistral Websearch documentation describes tools in its API context. Grok API Web Search documentation describes a configured search tool. These sources establish product-specific capabilities, not equivalence between every consumer application and API response.

• Separate search-enabled observations from answers generated without observed search. A fluent answer without links does not establish that a public page was retrieved.
• Record account or session context that may affect a run, without storing credentials or private records in a public report. Do not assume two fresh sessions remove every source of variation.
• Check current feature availability in the interface being tested. Do not transfer an API tool capability to a consumer product without verification.
• Keep product or mode changes visible in the history. A change in configuration can invalidate a direct before-and-after comparison.

This page makes no current plan, price, model-version or country-availability promise and runs no paid provider calls. The AI search engines comparison separates broader product contexts.

Saving the full answer and cited URLs preserves what was observed. Open the exact linked page and check its language, date, relevant passage and support for the claim. A link to an organization is not necessarily a citation of the specific fact being evaluated.

Keep original-language text and the reviewer’s interpretation distinguishable. Where a source cannot be opened or the meaning is uncertain, record the limitation. Do not silently count an inaccessible page as verified support.

• Report a mention, an explicit recommendation and a linked citation separately. Note whether the cited page belongs to the entity or an independent publisher.
• Define the denominator for a source-language measure: for example, classified linked citations in the stated panel. State how unknown-language, repeated and inaccessible URLs are handled.
• Review factual accuracy against the same dated entity record across languages. A correctly spelled name can still be attached to the wrong person, role or organization.
• Compare systems only within declared conditions. A higher count of French links in one panel does not establish better factual support or superiority in every market.

Use the evidence-assets guide for claim scope and the reputation dashboard for explicit metric definitions.

Download the blank language-review register. It contains column headings only, with no test outputs, scores, accounts or customer data. Keep detailed evidence in authorized storage and record references in the register.

After identifying a specific problem, assign a source correction, translation review or further test to an owner. Retest the relevant question under comparable conditions and document product changes. A different answer after an edit does not establish that the edit caused it.

• Publish the collection period, panel version, products, languages, market assumptions, repetitions and exclusions beside any reported counts.
• Keep individual observations traceable and distinguish a missing mention from an inaccurate answer or unsupported citation.
• Report visits and qualified enquiries separately when authorized evidence exists. A language difference in sampled answers does not by itself demonstrate commercial impact.

Illustrative scenario: a team asks equivalent French and English questions about a company’s current role in a specified market. One saved answer repeats an outdated biography. The team checks that claim and the source before proposing a correction. This fictional scenario is not a benchmark result or evidence that either language performs better.

Documentation checked on 30 October 2026: Claude search, Mistral Websearch, Grok API Web Search and Google multilingual sites. Recheck the current product context before testing.

Which engine cites French-language sites most?

This guide reports no comparative benchmark. A defensible answer needs a declared question panel, products, collection period, search conditions and a source-language counting rule. A small sample does not establish a universal winner.

Is prompt language the same as audience market?

No. The language used for a question does not establish the intended country, actual user location or language of the cited pages. Record these dimensions separately and keep uncertain context explicit.

Can an API response be compared directly with a consumer chat?

Do not assume equivalence. Record the actual interface, model or mode, enabled retrieval tools and supplied context. Compare within declared conditions, and keep configuration differences visible in the report.

How should multilingual prompts be prepared?

Translate the intended decision and context, review important ambiguities and preserve exact wording under stable prompt IDs. Label cases separately when local terminology changes the intention. More prompts alone do not make the panel representative.

Does a French domain prove a cited page is in French?

No. Inspect the exact page rather than inferring language from a domain suffix. Record mixed or unknown-language cases and check whether the page supports the claim before including it in a defined citation measure.

How should translated pages and retests be handled?

Publish genuine equivalents with consistent facts and usable language navigation. Save dated source checks and comparable answer runs after corrections. A changed answer or later enquiry does not by itself prove the translation caused the outcome.