Turn AI visibility gaps
into implementation work
Rankfor.AI identifies exactly what is broken in how AI sees a brand.
Partners implement the fix.
We refer leads to certified software service companies, digital agencies, and web studios who can restructure, migrate, and rewire corporate digital assets for AI-first discovery.
Apply to become a partner
The corporate website has a new primary audience: machines
60% of searches now end without a click. AI answers the question directly. When a buyer asks ChatGPT or Gemini "which payment provider is best for Baltic e-commerce?" — AI gives one or two names. Not a list of ten links.
Brands that understand this are restructuring their digital assets to be machine-readable. Brands that don't are becoming invisible in the channel that now drives 47% of B2B buying decisions.
Fixing this requires exactly what software service companies do: technical website changes, content architecture, CMS restructuring, and migration work.
of searches end without a click
of B2B buying decisions start with AI
AI conversations a typical brand appears in
to first measurable score improvement
You receive a complete diagnosis with every lead
Rankfor.AI runs the analysis before you ever speak to the client. You arrive with data, not guesswork.
AI Visibility Score
A 0–100 score across four dimensions — brand recall, reasoning depth, semantic fit, and content structure. You know exactly what tier the client is in and what the implementation mandate is.
Territory Map
A map of which topics AI associates with the brand — fortified, contested, vulnerable, and unclaimed. Each vulnerability is a content and technical work item.
Persona Gaps
The buyer segments AI doesn't associate with the brand. Each gap is a content brief: new pages, FAQ layers, or use-case coverage.
Stability Analysis
What AI always says vs. sometimes says about the brand. Unstable messages signal structural content issues — wrong format, buried in PDFs, or poor heading hierarchy.
What you implement
The six areas of implementation work that move an AI Visibility Score. Each maps directly to the gaps the Rankfor.AI diagnosis identifies.
Technical site audit
Crawlability, schema markup, JavaScript rendering, llms.txt — making the website readable by AI engines.
Content architecture
Building topic clusters, FAQ layers, comparison pages, and use-case pages that AI can parse and cite.
Migration & restructuring
Converting PDFs to HTML, migrating legacy CMS, implementing static rendering for AI-critical pages.
Persona-driven content
Creating content that maps to each buyer persona — the gaps that Rankfor.AI identifies in the diagnosis.
Feedback loop setup
Monthly rescan cycles, performance reporting, and ongoing optimization as AI models evolve.
Communication rewiring
Aligning brand messaging, PR, and third-party sources with how AI retrieves and cites a brand.
How the partnership works
Rankfor.AI generates the diagnosis
A client scans their website. They see their AI Visibility Score, territory map, persona gaps, and content recommendations. They understand the problem.
You receive the implementation lead
When a client needs technical or content implementation support, Rankfor.AI refers them to a certified partner. You get the brief, the data, and the client contact.
You run the discovery call
You translate the diagnosis into a scoped engagement — technical audit, content roadmap, CMS restructure, or an ongoing retainer. You own the client relationship.
You implement, Rankfor.AI measures
Monthly rescans track score improvements across all four dimensions. Results are visible. The feedback loop creates recurring work.
Good fit for partners who
- Build and restructure websites for B2B companies
- Offer content strategy, SEO, or GEO/AEO services
- Implement CMS platforms (WordPress, Webflow, custom)
- Run technical audits and migrations
- Work with companies that have 20+ page websites
- Can scope and deliver structured content creation
- Operate in European markets or globally
What the client gets from a partner engagement
- A corporate website that AI can read, retrieve, and cite
- Content mapped to buyer personas — not just keywords
- Schema, llms.txt, and structural markup implemented
- Monthly AI Visibility Score improvement tracking
- A feedback loop between content and AI measurement
- Reduced competitor advantage in AI recommendations
Apply to become a tech partner
Tell us about your company. We review applications and respond within 3 business days with next steps.
- We review your application
- Intro call to align on scope and markets
- Certification session (half-day)
- First referred lead within 30 days