Multilingual AI Presence for B2B, technology & industry
Visibility in EN, ES, FR, DE, PT, IT and CA — translation alone is not enough to appear in another language.
For companies aiming to enter AI-generated shortlists, RFPs and vendor research workflows.
What this engagement
actually does for this buyer.
A B2B vendor sells globally and gets cited globally in English. Multilingual AI Presence works for vendors targeting non-English procurement cycles (German enterprise procurement, Japanese kaisha, Latin American mid-market). The work localises the vendor entity in each language, acquires language-specific peer-review presence (German developer communities, Japanese SaaS review platforms), and sequences analyst coverage in each market's tier-1 publications. Each language market hits parity within 2-3 quarters or the strategy adjusts.
The questions they're
asking right now.
“beste Alternativen zu Datadog für deutsche Enterprise-Teams”
“mejores alternativas a Salesforce para empresas medianas en México”
“top observability platforms for Japanese enterprise IT”
How buyers
actually research.
Enterprise buyers run AI through the early stages of vendor research — 'top 5 vendors for X', 'what's the difference between Y and Z', 'who has experience in industry W'. AI builds the shortlist from public reviews, case studies, analyst reports and integration partnerships. By the time a salesperson is contacted, the decision-maker has already narrowed the field. Either you're in the AI-generated shortlist, or you're chasing deals where someone else is the obvious choice.
What matters
in this industry.
- 01
Win the AI-generated shortlist
Enterprise buyers run AI through early-stage research. By the time a salesperson is contacted, the shortlist is already 90% set — either you're on it, or you're chasing.
- 02
Verified case studies and outcomes
Generic claims don't win RFPs. Named customers, specific outcomes, third-party validation — these are the citations AI uses to justify a pick.
- 03
Be in the comparison set
G2, Gartner, Forrester, Capterra, peer reviews. AI cross-references these. A brand invisible to vendor comparison sources is invisible in the AI shortlist.
What AI engines
are reading.
- 01
Customer logos, case studies, named outcomes — the citations AI uses to justify a recommendation
- 02
Service, SoftwareApplication, Organization schema with offers and integrations
- 03
Analyst recognition: G2, Gartner, Forrester, vendor comparison sites
- 04
Integration partnerships, marketplace presence, ecosystem signals
What you get
specifically here.
- 01
Per-language vendor entity with localised G2 / Capterra equivalents and language-specific case studies
- 02
Market-specific analyst-coverage outreach to non-English tier-1 publications
- 03
Per-language citation-rate parity dashboard across the 3-5 priority markets
Where the citations
actually come from.
How this engagement
fits the sector.
Multilingual AI Presence
Visibility in EN, ES, FR, DE, PT, IT and CA — translation alone is not enough to appear in another language.
AI Visibility Audit for B2B
Diagnose how ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode describe, cite, ignore or misrepresent your brand.
AI Presence Strategy for B2B
Roadmap to make your brand more discoverable, understandable and citable across generative engines.
GEO · AEO · LLMO for B2B
We optimise content, structure, data, FAQs, comparisons and key pages for generative answers.
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Do you know what AI
says about you?
Request an audit and discover how your brand appears when customers, partners and investors ask AI for solutions, recommendations, comparisons or vendors in your category.
- 01Analysis across ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode
- 02Real comparison with your main competitors
- 03Citations, mentions and source review
- 04Detection of errors and incomplete information
- 05Content and authority opportunities
- 06Executive 30 / 60 / 90 day roadmap