The AI Consultancy That Rebuilt Its Site Around Services and a Product

The Challenge: A Sharper Pitch Than the Old Site Could Carry

BearingBridge AI advises large organisations on AI, and their pitch got harder-edged. Put intelligence inside the client’s data first, then build the product around it. Evidence over hype, as the footer says.

That is more difficult to put on a page than a slogan. The firm works across five pillars, consulting, data, AI, tech and training. It shows what AI does inside 12 different jobs, from the CEO down to procurement and HR. It benchmarks Western models like GPT and Claude against Chinese ones like Qwen and DeepSeek, and it will tell a client when a project shouldn’t go ahead at all. And it now sells in English and French.

Then there’s the map. Work happens in Hong Kong and Shanghai, buyers read from Europe, and the network between them runs through the Great Firewall. A site that stalls on one side of that loses the room before the first meeting.

One more thing, the one most consultancies skip. If you sell AI judgement and an AI assistant can’t name you, that’s an awkward look.

Client	BearingBridge AI
Industry	Enterprise AI consulting
Languages	English, French
Regions	Hong Kong, Shanghai, wider Asia, Europe
Platform	Corporate site with product demo and insights library
Key services	Design delivery, China hosting, GEO, Integration

The Build: 12 Jobs, Two Languages, One Quick Page

We built the site dark and technical, closer to a terminal than a brochure, because these buyers read dashboards for a living. Big type, hard grid lines, numbers doing the talking.

The architecture follows how those buyers actually arrive. Five pillar pages for the services. Twelve role pages, each one starting from data a marketing lead or a finance director already has, then showing the intelligence that sits on top of it. A method section that walks a project through in order, bearing by bearing. And a live demo near the top of the page, so a prospect sees the thing working before anyone asks them to book a call.

Both model ecosystems get their own section, Western names and Chinese names in the same table. That claim only holds up if the page itself loads in both places, so we hosted it to survive the crossing and pulled out the overseas dependencies that stall in China.

English and French run on proper hreflang, so each reader lands in their own language and search engines index both versions without tripping over each other.

Then the GEO work. Claims stated plainly, passages that answer a question on their own, clean machine-readable markup, and an insights library written to be quoted rather than skimmed. Even the numbers carry their sources on the page: the 80% AI project failure rate is attributed to RAND right where it’s used, which is exactly the kind of passage an assistant lifts.

The Outcome: Quick in Both Regions, Quotable by Machines

BearingBridge AI now runs one site that loads fast in Asia and in Europe, carries both the consulting work and the product, and is built from the ground up to be surfaced by AI search rather than buried under it.

For a consultancy whose credibility rests on reading both AI ecosystems and both halves of the map, a site that performs in both and gets cited by the tools it advises on is the proof in the pudding.

“We tell clients to build for how AI actually reads the world. We had to do that to our own site first. Now when you ask an assistant about real AI adoption, we’re in the answer.”

Adrian P., Principal, BearingBridge AI