Become the answer
AI gives.
KHB helps global enterprises engineer how ChatGPT, Claude, Gemini, Perplexity, and DeepSeek see, cite, and recommend their brands — through a unified platform of monitoring, knowledge engineering, and advisory services.
AI is the new search — and your brand is already being summarized
Every day, millions of decisions are made inside AI assistants. The question is no longer whether AI mentions your company — it does. The question is whether it cites you, recommends you, and frames you the way you intend.
Visibility
Whether AI models mention your brand when customers ask. Most enterprises are invisible to AI — even when they should be the obvious answer. KHB's diagnostic shows that over 60% of category-relevant prompts on ChatGPT, Claude, and Gemini fail to mention the market leader, giving competitors an uncontested opening to capture AI-mediated demand.
Citation
How AI sources its claims about you. Cited brands become trusted references that models reuse across sessions and users. Uncited brands become interchangeable abstractions — nameless categories that any competitor can fill. KHB's citation analysis across 8+ AI models tracks which sources each model trusts, so you can engineer the citations that compound your authority over time.
Recommendation
How AI positions you against competitors. The "first recommendation" is the new front page — and it is engineered, not earned by accident. When a user asks an AI model for a recommendation, the model selects from brands it has seen cited, discussed, and validated across its training and retrieval sources. KHB's recommendation engineering systematically builds those signals across all 8+ frontier models.
Why this matters now: Generative AI is displacing traditional search at an accelerating rate. By 2026, over 35% of enterprise research queries are expected to route through AI assistants rather than conventional search engines. Brands that invest in AI influence today — building knowledge assets, authority signals, and citation pathways — will compound their advantage as AI models reinforce what they already know. Brands that wait will find themselves invisible at the moment of decision, with no quick fix available. KHB's KAIF methodology provides the systematic, seven-step framework to measure, build, and defend your AI influence position before competitors lock it in.
Measure what was previously unmeasurable
Our diagnostic dashboard quantifies your presence across the AI ecosystem — turning fuzzy perception into clear, actionable metrics.
Illustrative metrics — your actual scores are computed during the AI Checkup.
From self-service to strategic partnership
Four tiers — start free, scale to a full AI Board partnership.
Self-service tools to test your AI visibility and run basic optimizations.
Continuous monitoring with a private knowledge base and automated optimization.
Dedicated advisory with knowledge engineering, authority building, and a monthly AI Board.
Long-term collaboration for global AI brand growth and capital-grade reporting.
Seven steps from invisible to indispensable
KHB's proprietary methodology — a measurable, repeatable process for compounding AI influence.
Seven specialized agents. One coordinated workflow
Your AI Board convenes monthly — a multi-agent system simulating a C-suite to align brand, technology, financial, and legal dimensions of your AI influence strategy.
Frequently asked questions about AI influence
What enterprises need to know before starting their Generative Engine Optimization journey.
What is KHB's Enterprise AI Influence Platform?
KHB's Enterprise AI Influence Platform is the infrastructure for measuring, managing, and growing how brands appear across the generative AI ecosystem. It combines AI visibility monitoring across 8+ frontier models (ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Copilot, Llama, Qwen), Generative Engine Optimization (GEO), knowledge engineering, authority building, and a multi-agent AI Board service. Headquartered in Hong Kong SAR, KHB serves listed companies, group enterprises, and brands worldwide who need to ensure AI models accurately see, cite, and recommend them.
How does Generative Engine Optimization (GEO) differ from traditional SEO?
Traditional SEO optimizes for search engine results pages (SERPs) — ranking links on Google or Bing. Generative Engine Optimization (GEO) optimizes for AI-generated answers — ensuring your brand is mentioned, cited, and recommended when users ask ChatGPT, Claude, Gemini, or Perplexity about your category. GEO requires different techniques: structured knowledge assets that AI models can ingest, authority signals that models use to assess credibility, citation-worthy self-contained content, and continuous monitoring across multiple model ecosystems. SEO focuses on links; GEO focuses on being the answer.
Which AI models does KHB monitor for brand visibility?
KHB monitors AI visibility across 8+ frontier models: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity, DeepSeek, Copilot (Microsoft), Llama (Meta), and Qwen (Alibaba). The platform queries each model with brand-relevant prompts, analyzes whether the brand appears, is cited, or is recommended, and produces a scored AI Influence Index covering visibility, citation density, and recommendation rate.
What is the KAIF methodology?
KAIF is KHB's proprietary seven-step process for compounding AI influence: 1) Discover — map the brand's current footprint across AI models; 2) Diagnose — quantify visibility, citation, and recommendation scores; 3) Knowledge Engineering — build structured, machine-readable knowledge assets; 4) Authority Engineering — cultivate external credibility signals; 5) Recommendation Engineering — engineer conditions for AI model recommendations; 6) Monitoring — continuously track AI visibility and detect drift; 7) Growth — compound influence through iterative content engineering.
How long does it take to see results from AI influence optimization?
AI influence optimization is a compounding process. Initial visibility baselining and diagnosis typically take 2-4 weeks. Knowledge engineering and authority building show first measurable improvements in AI visibility within 8-12 weeks as models ingest updated content. Full recommendation engineering results — where AI models actively recommend your brand over competitors — generally appear within 3-6 months of sustained optimization. KHB's monitoring dashboard tracks progress continuously across all 8+ AI models.
Is KHB's AI Checkup really free?
Yes. The AI Checkup is a free five-minute diagnostic with no credit card required. It queries 8+ AI models with your brand-relevant prompts, analyzes the responses, and produces a scored report covering visibility, citation density, and recommendation rate, plus immediate improvement recommendations. It is designed as the entry point for enterprises beginning their AI influence journey — no commitment, no payment, just a baseline assessment.