Corporate Website — AI-Friendly and GEO Built In
Not just a website — the brand’s authoritative source in the AI era
Engineered for AI readability and GEO so the brand gets seen and cited inside AI answers.
- Timeline
- 4–8 weeks
- Deliverables
- 6 items
- Use cases
- 5 types
Why a Rebuild Is Necessary
AI cannot parse your site
Conventional sites are built for visual presentation. Without structured semantics, AI engines cannot reliably extract brand, product or credential facts.
The brand vanishes from AI answers
When a user asks an AI which pharma supplier is strongest, excellent website copy counts for nothing if the AI never indexes or cites it.
Expertise cannot be verified
Pharma lives on E-E-A-T, yet most sites lack physician or pharmacist bylines, credentials and cited sources — so AI will not risk recommending them.
What You Get
AI-Friendly Architecture
Semantic HTML, a strict H1–H6 hierarchy and entity-based naming make the site machine-comprehensible from the ground up.
GEO Engine Built In
A GEO monitoring dashboard ships with the site, tracking brand visibility across ten AI engines from launch day.
Compliant Content System
A built-in pharmaceutical compliance lexicon and review workflow keep the site both authoritative and advertising-law safe.
Industry Component Library
A component library distilled from 20+ years in pharma gets a high-converting brand site standing up fast.
The AI-Friendly Technical Foundation
We break “readable, understandable, recommendable by AI” into concrete engineering standards that make the site a preferred source for AI engines.
Full Structured-Data Annotation
Complete Schema.org coverage: Organization, Product, MedicalEntity, FAQPage, HowTo and BreadcrumbList.
E-E-A-T Reinforcement
Expert bylines, displayed practising credentials and citations to pharmacopoeias and clinical guidelines build AI trust.
Knowledge-Graph Alignment
Entity–relationship modelling turns brand, product and indication into a network AI can reason over.
Machine-Readable Summaries
Explicit summaries, key-fact tables and directly quotable data points.
Multimodal Indexability
Image alt text, video captions and parsable PDFs keep every asset transparent to AI.
Technical Baseline
High performance, strong accessibility, standard sitemap and robots files, and open APIs.
What Lands in Your Hands
- Brand positioning and information architecture
- AI-friendly front end plus CMS
- Complete Schema.org structured data
- GEO dashboard covering ten engines
- Content compliance review workflow
- Launch handover and operations manual
Where It Fits
Typical timeline: 4–8 weeks, including post-launch GEO operations.
Let’s Talk About Your Case
Tell us where you are and where you want to go. We start with a straight diagnostic — including whether this module is the right thing for you right now.
Frequently Asked Questions
How does GEO differ from traditional SEO?
SEO optimizes ranking within a list of links; GEO optimizes citation rate within a generated answer. SEO competes for position; GEO competes for presence. When users read one synthesized conclusion instead of scanning ten blue links, an uncited brand effectively does not exist.
Which AI engines does Nine Health's GEO service cover?
Ten leading generative engines: ChatGPT, DeepSeek, Doubao, Kimi, Ernie Bot, Qwen, Tencent Yuanbao, Zhipu, Perplexity and Claude, each monitored separately for brand keyword answers and recommendation placement.
How long before GEO results appear?
Timelines depend on each engine's knowledge update mechanism. Engines with live retrieval typically reflect newly indexed content within days; engines relying on training corpora take longer. Nine Health uses AIO monitoring to track answer changes continuously.
Are there compliance risks for GEO in pharmaceuticals?
Yes, and they must be handled upfront. Pharmaceutical content in China is governed by the Advertising Law and internet advertising regulations, which prohibit efficacy guarantees and absolute claims. Nine Health embeds a compliance review stage staffed by team members with pharmaceutical backgrounds.
How is GEO effectiveness measured?
Through three engine-level metrics — citation rate, recommendation position and answer accuracy — tracked continuously per brand keyword and reported as change over time, rather than raw traffic.