Short answer: When the same question is asked in Turkish and English, AI looks at different source pools, interprets the question with different conditions and compares the brand against a different set of competitors. So a brand can appear in the Turkish answer and disappear in the English one. B2B brands that measure visibility only in Turkish never notice that they are missing multinational customers and foreign buyers.
A corporate event and conference company in Istanbul has worked with local companies for years. Its results in Turkish questions are good: it appears regularly in the answer to “corporate event organization companies in Istanbul”.
The company’s growth target is the Turkish offices of multinationals. The marketing director of one of them, recently posted from London, needs an organizer in Istanbul for a regional dealer meeting and naturally asks in English:
Decision question · EN
“Corporate event management companies in Istanbul experienced with international dealer conferences for 300+ attendees.”
The company’s name isn’t in the answer. The list includes the Istanbul offices of two international agencies and two local firms with strong English websites. The scenario is fictional. The language gap is real and usually unmeasured.
Four mechanisms behind the gap
The difference between Turkish and English answers doesn’t come from a single cause. In the field, we see four mechanisms working together.
- Source pool. An English question is directed to a much larger, international source pool. In a Turkish question, the brand’s Turkish content and local sources carry weight; in an English question, international directories, English news and global competitors’ content come forward.
- Web search behavior. Tools that search the web pull different results depending on the question’s language. English questions mostly return English pages. If the brand’s English pages are weak, it can be filtered out at the search layer.
- Question pattern. The same need is phrased differently in each language. Local conditions that come naturally in a Turkish question (e-invoicing, social security, a specific district) either don’t appear in the English question or appear in different terms. The model matches the two questions with different conditions.
- Competitor set. In the English question, the brand is compared not only with local competitors but with international players and suppliers from other countries.
Language isn’t the same as market
The most common misreading here is to link English visibility only to exports. “We don’t sell abroad, so English doesn’t matter” becomes misleading as the customer base changes.
At multinationals operating in Turkey, many managers use their work tools in English. Even if they speak Turkish, they may write the question in English. For foreign managers, English is the only option. The result: even a B2B brand that serves only Turkey operates in a market where part of its customers ask in English.
This is especially visible in sectors where multinationals are heavy buyers: professional services, enterprise software, events and logistics. We observed the same dynamic in law and consulting firms and in B2B SaaS.
Why isn’t a translated English site enough?
Many brands build their English site as a translation of the Turkish one. Even when the translation is accurate, three gaps remain.
First, terms. The English equivalent of a concept used in the Turkish market may not be the term the English-speaking asker uses. The match between the Turkish term for corporate events and “corporate event management”, or between the Turkish term for a dealer meeting and “dealer conference”, is obvious to a translator; the asker’s own words are what count.
Second, context. Things a Turkish reader doesn’t need explained (how work is done in Turkey, regulation, logistics) can be screening conditions for a foreign buyer and need to be spelled out on the English page.
Third, external sources. An English site alone has limited effect. The brand needs to appear consistently in English directories, international fair and event records, English news and on LinkedIn. That gap is an Authority GAP. A company name written differently across sources because of Turkish characters widens it; we cover this in detail in the article on exporting brands.
Which language should you start with?
When resources are limited, the customer base sets the priority:
| Customer base | Priority | First step |
|---|---|---|
| Export-focused manufacturer | English (and key markets’ languages) | English pages that answer foreign buyers’ screening criteria |
| B2B firm serving multinationals | Turkish and English together | Rewrite core service pages around English question patterns |
| Firm serving local SMEs | Turkish | Full coverage of Turkish decision questions; basic English presence |
This table is a starting point. Parallel measurement in both languages sets the actual priority.
How should the gap be measured?
The only reliable way to measure the language gap is to run the same decision question in both languages in parallel. Translating the question word for word isn’t enough. Each language’s question should be written in the natural phrasing of the persona who uses that language. Appearance rates, recommended competitors and cited sources are then compared across the two languages.
The comparison often surprises. A brand strong in Turkish questions may not appear at all in English ones, or a competitor with a strong English site may pull ahead even in Turkish questions. We explain the criteria in measuring AI visibility.
How does Recro make this gap visible?
The Recro Insight Model always simulates decision questions in the languages that fit the target customer base. The difference between the two languages and its source (content, terms, external sources, name consistency) are classified.
One simulation · 4 key pillars · 90+ steps
What sets Recro apart is four pillars built from scratch for each brand. Together they form a single simulation of 90+ steps, with each pillar producing the input for the next.
- Persona builder: Decision-maker profiles that represent the brand’s real buyers, specific to its sector and sales structure.
- Question builder: The brand-specific decision questions these people ask AI along their buying journey.
- Report builder: A report that reads the answers against the brand’s goals and competitors, together with the sources behind them.
- Action recommendation builder: A prioritized list of actions that closes the sector-specific signal gaps.
Sample finding format · illustrative
- Question: Discovery · Multinational marketing director · TR and EN
- Status: The brand is on the list in most Turkish runs and in none of the English runs.
- Reason: English pages are translations; terms like “dealer conference” and “incentive trip” never appear.
- Class: Content GAP + Authority GAP
- Action: Rewrite English service pages around question patterns; add English directory and event records.
Executive summary
- Turkish and English questions are directed to different source pools, different question conditions and different competitor sets.
- Language isn’t the same as market. Some customers of B2B brands that sell only in Turkey also ask in English.
- A translated site doesn’t close the gap. Content built around English question patterns, context and external sources is needed.
Frequently asked questions
Doesn’t AI also answer Turkish questions using English sources?
It can, and sometimes does. But Turkish sources carry more weight in Turkish questions, and English sources in English ones. That’s why the two answers don’t contain the same brands.
Can we produce English content with machine translation?
Translation can be a starting point, but the content needs to be rewritten around English question patterns. Term choice and the context foreign buyers need are two things translation doesn’t provide on its own.
Will English pages compete with Turkish pages in SEO?
Not with proper language tagging (hreflang) and a separate URL structure. Linking the two versions clearly helps both search engines and models read them as language versions of the same brand.
Should other languages be measured too?
In key export markets, yes. In markets such as Germany, France or the Gulf, some buyers ask in their own language. Market size and customer base set the priority.
How long does it take for the language gap to close?
On-site changes can show relatively quickly in tools that search the web. Building an English footprint in external sources takes longer. The exact timeline varies by tool and industry.
In which language do your customers ask about you, and which brands are in the answer in each language? Recro simulates decision questions in Turkish and English in parallel and shows language-driven visibility gaps.
Request a bilingual simulation →
This article was prepared with AI assistance and published under the review of Mehmet Semih İpek.
