# MercerGeo | Chinese-English GEO Services: Get Cited by ChatGPT, Perplexity, Doubao & More

> MercerGeo offers bilingual GEO (generative engine optimization) for Chinese-community businesses and Chinese brands going global: AI visibility audit, structured data, llms.txt, entity building, citation sourcing and monthly monitoring.

URL: https://mercergeo.com/en/  
Other language: https://mercergeo.com/  
Last updated: 2026-11-11

## Be the brand AI answers cite.

More people now skip the results page and ask ChatGPT, Perplexity, Doubao or Kimi directly. MercerGeo helps Chinese-community businesses and Chinese brands going global get found, understood, cited and recommended by those AI systems.

### MercerGeo in brief

- **What it is**: A bilingual (Chinese and English) service provider focused on GEO, generative engine optimization. Brand name: MercerGeo.
- **Who it serves**: Chinese-community local businesses, and Chinese brands serving overseas or Chinese-speaking markets.
- **What it does**: AI visibility audit, content and structured-data rebuild, llms.txt, entity and knowledge-graph building, citation-source seeding, monthly monitoring reports.
- **AI platforms covered**: ChatGPT, Perplexity, Gemini, Claude, Copilot, DeepSeek, Doubao, Kimi, Tongyi Qianwen, Tencent Yuanbao.
- **Delivery**: Mainly remote, in Chinese and English.
- **Pricing**: Quoted per project. No fixed public prices yet. See “Pricing and packages” below.
- **Commitments**: No guarantees of specific rankings or citation counts. No fake reviews, spam content or manipulation.

## What is GEO?

GEO (Generative Engine Optimization) is the practice of making your brand and content easier for generative AI search and answer engines to discover, understand, cite and recommend. It is also called AI search optimization or AEO (Answer Engine Optimization).

The term comes from a 2023 research paper, “GEO: Generative Engine Optimization”, by researchers including authors from Princeton University. It was later published at KDD 2024.

When someone asks an AI “Which dentist near Seattle speaks Chinese?”, they get a synthesized answer with a few source links, not ten blue links. Whether you appear in that answer, whether it is accurate, and which sources it relies on is what GEO is about.

### How AI decides who to mention

Mechanisms differ by product, but there are roughly three layers. GEO works on all three:

1. **What the model learned**: From training data. Brand facts that are public, consistent and mentioned in many places are more likely to be “remembered”.
2. **What it retrieves live**: AI with search retrieves web pages before answering. Whether your pages can be crawled, state answers clearly and are machine-readable decides whether they get chosen as sources.
3. **What third parties say about you**: Encyclopedias, map listings, Q&A communities, media and review sites are often the main sources AI cites, and the basis for deciding who a brand is.

## How is GEO different from SEO?

GEO does not replace SEO. It is a layer on top of it. If your site cannot be loaded or crawled, neither works.

| Dimension | Traditional SEO | GEO |
|---|---|---|
| Goal | Rank high on the results page and earn clicks | Be mentioned, cited and recommended inside AI answers |
| What users see | A list of links | A synthesized answer with a few sources |
| How content is written | Pages organized around keywords | Answer-first, quotable, clear facts |
| Key signals | Backlinks, keyword relevance, page experience | Consistent entity data across platforms, credible third-party mentions, machine-readable structure |
| Metrics | Rankings, organic traffic | Brand mention rate, cited sources, description accuracy, competitor presence |
| Pace | Usually months | Varies by engine: weeks to months, with fluctuation |

## Who it is for

- **Chinese-community local businesses**: Restaurants, dental and medical clinics, law and accounting firms, real estate agents, education and tutoring, home renovation and services. Customers increasingly ask AI “Is there a Chinese-speaking … near me?”
- **Chinese brands going global**: Cross-border e-commerce, SaaS, manufacturing and consumer brands that want to be described correctly in English-language AI search, not ignored or misdescribed.
- **Brands serving Chinese-speaking users**: Brands serving Chinese-speaking users in North America, Southeast Asia and elsewhere that need to appear in both English and Chinese AI products.
- **Teams that want the facts first**: Not sure what AI says about you? Start with an audit, see the facts, then decide whether to invest.

### Not a good fit

- Clients who want a guaranteed “#1” or a specific number of citations. Nobody can honestly promise that.
- Approaches that rely on fake reviews, mass-generated spam content, hidden text or prompt injection. We do not do these.

## Services

Six services you can buy separately or combine. Each has a concrete deliverable.

**AI platforms covered by the audit**: ChatGPT, Perplexity, Google Gemini, Claude, Microsoft Copilot, DeepSeek, 豆包 Doubao, Kimi, 通义千问 Tongyi Qianwen, 腾讯元宝 Yuanbao.

Each platform uses different sources and answers differently, so the audit tests with real questions instead of guessing.

### 1. AI visibility audit

We ask a set of realistic Chinese and English user questions on the 10 AI platforms above and record whether your brand is mentioned, how it is described, which sources are cited, and which competitors appear.

- Question-set design (Chinese and English, by your business and city)
- Brand mention and description-accuracy log
- List of cited sources
- Competitor comparison
- Prioritized fix list

**Deliverable**: Baseline report + fix list

### 2. Content and structured-data rebuild

We rework your site so AI can read it easily: answer-first pages, complete FAQs, semantic HTML and schema.org JSON-LD structured data (Organization, Service, FAQPage, BreadcrumbList and more).

- Answer-first rewrite of core pages (Chinese and English)
- schema.org JSON-LD deployment and validation
- FAQ and service pages
- Crawlability and page-speed check
- robots.txt policy for AI crawlers

**Deliverable**: Rebuilt pages and structured data

### 3. llms.txt and AI-readable layer

We add llms.txt and llms-full.txt and Markdown versions of key pages so AI agents can get complete information without parsing complex pages.

- llms.txt and llms-full.txt
- Markdown versions of key pages
- Sitemap and canonical URLs
- hreflang for multilingual pages

**Deliverable**: AI-readable file package

### 4. Entity and knowledge-graph building

We help AI hold a consistent, accurate picture of who you are. Depending on your case, and within each platform's rules, we organize and improve brand information on Wikidata and Wikipedia (where notability criteria are met), Google Business Profile, Baidu Baike, Zhihu, Xiaohongshu and similar places.

- Unified brand entity data (name, address, description, Chinese and English forms)
- Wikidata / Wikipedia (when notability criteria are met)
- Google Business Profile
- Baidu Baike, Zhihu, Xiaohongshu
- sameAs links and cross-references

**Deliverable**: Entity profile and platform listings

### 5. Citation-source seeding

We first find out which sources AI actually cites for your category, then work to appear in those sources: trade media, industry directories, Q&A communities, genuine customer reviews. Only real, verifiable content.

- Category citation-source analysis
- Target-source list and priorities
- Guidance on writing and placing real content
- Review-invitation workflow (real customers only)

**Deliverable**: Source list and execution plan

### 6. Monthly monitoring reports

Every month we re-run a fixed question set and track change, so you know which actions work and what to adjust.

- Monthly re-test of a fixed question set
- Trends in mention rate, cited sources and accuracy
- Competitor changes
- Next-month recommendations

**Deliverable**: One report per month

## Process

Five steps, each with a checkable deliverable:

1. **Intro and scoping**: We learn your business, the questions customers ask, target cities and languages. We confirm scope and quote. (Deliverables: Scope note and quote)
2. **Audit**: Test on 10 AI platforms to see the current state. (Deliverables: Baseline report, competitor comparison, fix list)
3. **Rebuild**: Rework page content and structured data; deploy llms.txt and Markdown versions. (Deliverables: Updated pages, JSON-LD, AI-readable files)
4. **Entities and sources**: Unify brand information across platforms and seed worthwhile citation sources. (Deliverables: Entity profile, source execution plan)
5. **Monitor and iterate**: Re-test and report monthly; adjust based on results. (Deliverables: Monthly report and next actions)

## Timeline

Typical reference timing for a project. Actual timing depends on your site and scope and goes into the quote:

- **Weeks 1–2 · Audit**: Question-set design, test on 10 platforms, baseline report
- **Weeks 2–6 · Rebuild**: Page and structured-data rework, llms.txt, Markdown versions
- **Weeks 4–12 · Entities and sources**: Unify platform profiles, seed citation sources
- **Monthly · Monitoring**: Re-test a fixed question set, report, adjust

These are estimates of common ranges, not promises. AI engines pick up changes at different speeds, from weeks to months, and results fluctuate.

## Pricing and packages

We currently quote per project and have no public fixed prices. The three packages below illustrate scope; the quote is what counts.

### Audit: See where you stand

- Billing: One-time
- Price TBD · contact for a quote
- AI visibility audit (10 platforms)
- Baseline report
- Prioritized fix list
- Walkthrough of results

### Growth: Build the base, keep tracking

- Billing: Project + monthly
- Price TBD · contact for a quote
- Everything in Audit
- Content and structured-data rebuild
- llms.txt and Markdown versions
- Unified entity data
- Monthly monitoring report

### Full service: Multiple brands or markets

- Billing: Custom
- Price TBD · contact for a quote
- Everything in Growth
- Citation-source seeding
- Ongoing bilingual content
- Multi-brand or multi-market support
- Regular reviews

Package names and scope are examples and will be adjusted in the quote. All pricing is quoted after a conversation.

## Example: a methodology walkthrough

**This is a fictional methodology walkthrough, not a real client case, and contains no real data.**

Suppose there is a (fictional) Sichuan restaurant in Bellevue. Here is how we would approach it:

1. **Design the questions**: Ask the way customers do, for example “Where can I get good Sichuan food in Bellevue?”, “Chinese restaurants near Seattle for a family dinner”, “Bellevue Sichuan Xiaohongshu recommendations”, one set in Chinese and one in English.
2. **Test and record**: Ask on 10 platforms. Record whether the restaurant is mentioned, whether hours and address are right, and whether AI cites Google Maps, a review site or Xiaohongshu.
3. **Find the gaps**: For example: the Chinese and English names are written inconsistently; the Google Business Profile has no menu; the website menu is an image AI cannot read; there is no FAQ.
4. **Fix**: Unify the name; complete the business profile; turn the menu into text HTML with Restaurant structured data; add a bilingual FAQ; invite real customers to leave reviews.
5. **Re-test**: After a month or two, ask the same questions again, compare, and decide the next step.

## Frequently asked questions

### What is GEO?

GEO (generative engine optimization) is the practice of making a brand and its content easier for generative AI such as ChatGPT, Perplexity, Gemini and Doubao to discover, understand, cite and recommend. It focuses on whether you appear in AI answers, whether the description is accurate and which sources are cited.

### How is GEO different from SEO?

SEO aims to rank on the results page and earn clicks. GEO aims to be mentioned and cited in AI-generated answers. GEO builds on SEO: the site must be crawlable and clear, so you need both.

### What exactly does MercerGeo do?

Six services: AI visibility audit, content and structured-data rebuild, llms.txt and AI-readable layer, entity and knowledge-graph building, citation-source seeding, and monthly monitoring reports. They can be bought separately or combined.

### Which AI platforms do you cover?

ChatGPT, Perplexity, Google Gemini, Claude, Microsoft Copilot, DeepSeek, Doubao, Kimi, Tongyi Qianwen and Tencent Yuanbao. Each platform uses different sources and answers differently, so we test with real questions.

### Can you guarantee my brand will be cited by AI?

No, and nobody honestly can. AI answers are determined by each company's models and retrieval systems and keep changing. What we can do is make your brand information clear, consistent and machine-readable, then monitor and adjust.

### How long until I see results?

In a typical project the audit takes 1–2 weeks, the rebuild 2–6 weeks, and entity and source work 4–12 weeks. AI engines pick up changes at different speeds, from weeks to months, and results fluctuate. These are estimates, not promises.

### How much does it cost?

We quote per project and have no public fixed prices yet. Price depends on your current site, the number of brands, languages and market scope. Contact us for a quote.

### I run a local business (restaurant, clinic, etc.). Is this for me?

Yes. For local businesses, AI answers rely mainly on Google Business Profile, review sites, Xiaohongshu and how clear your own site is. The audit first checks the current state of these.

### I am a Chinese brand expanding overseas. Is this for me?

Yes. We help brands be described correctly in English-language AI search, and we handle entity information on Chinese platforms too.

### Do you do fake reviews or mass-generated content?

No. We only do real, verifiable content and processes, such as inviting genuine customer reviews. Fake reviews, hidden text and prompt injection violate platform rules and risk penalties.

### What is llms.txt, and does it help?

llms.txt is a proposed convention: a Markdown file at your site root that summarizes the site for AI agents and points to key pages. Not every AI product reads it and there is no guaranteed effect, but it is cheap, harmless and helps AI agents get information on their own.

### Can you create a Wikipedia or Baidu Baike entry for me?

It depends on whether the brand meets each platform's notability standards. Wikipedia requires significant independent coverage, and we will not use rule-breaking methods to create entries. We start with entity information that is easier to establish, such as Wikidata, Google Business Profile, Zhihu and Xiaohongshu, and pursue encyclopedia entries when criteria are met.

### How do you measure results?

We re-run a fixed set of Chinese and English questions on each platform periodically and compare brand mention rate, cited sources, description accuracy and competitor presence, in a monthly report. If your site has analytics, we can also look at visits coming from AI platforms.

### What do I need to provide?

A description of your business, target cities and languages, the questions customers ask, access to or edit rights on your website and platform accounts where needed, and the competitors you care about.

### Can I do GEO myself?

Part of it, yes: organizing FAQs, completing your Google Business Profile, unifying brand naming. Structured data, multi-platform audits and ongoing monitoring take more time, and that is where we add value.

### How do I get started?

Contact us to book a free intro call. We learn your business first, then explain a suitable scope and quote.

## About MercerGeo

MercerGeo is a bilingual GEO provider based in the Seattle area, Washington, USA. The name comes from Mercer Island, Washington.

## Contact

Contact details coming soon. We learn your business first, then explain a suitable scope and quote.

- Location: Seattle area, Washington, USA (remote service)
- Languages: 中文, English