Independent site with an SEO+GEO foundation
Most independent sites die on arrival: pages render with JavaScript so crawlers get an empty shell, no structured data …
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GEO FULL-DOMAIN GROWTH
One system for your site, search, AI answers and third-party corpora
Buyers reach a supplier by four routes: your own site, search engines, AI recommendations, and the third-party pools those models draw on. This system runs all four from one console, on one set of verified fact cards, with evidence behind every step.
Full-domain means four specific places
There are only four routes a buyer takes to find a supplier. Skip one and everyone on it never sees you; each has its own rules, so one tactic applied to all four fails on all four.
Front 01 · Your own ground
Your own website
Server-rendered, bilingual, structured data, Markdown twin pages. Crawlers and AI agents read the same content without executing JavaScript. This is the foundation for the other three: without it, nothing you say elsewhere has an authoritative place to point back to.
Already in the system
- Server-rendered site and store
- Bilingual with hreflang
- JSON-LD structured data
- A .md twin for every page
- llms.txt and brand-facts.jsonl
Front 02 · Search
SEO: found and clicked
Keyword-to-landing-page mapping, internal linking and information architecture, indexing pushes, robots / sitemap / canonicalisation. Classic SEO still applies in full — GEO is a layer on top of it, not a replacement.
Already in the system
- Keyword-to-page matrix
- Internal links and breadcrumbs
- Active index submission
- sitemap / robots / canonical
Front 03 · AI answers
GEO: named in the recommendation
Build a library of the buying questions your customers ask AI, then sample repeatedly across Doubao, Qwen, DeepSeek, Yuanbao, ERNIE and more: who gets recommended, whose sources are cited, what is wrong. API sampling and in-app tests always reported separately.
Already in the system
- Graded question & intent library
- Multi-AI visibility monitoring
- Competitor and source analysis
- Fact-error tickets and re-tests
Front 04 · Third-party corpora
Feed what the models actually read
Each model draws on a different corpus mix — some lean on news and encyclopedias, others on Q&A and their own index. The corpus center ranks platforms by your target-AI mix, produces one version per platform from the same fact, then registers, pushes, re-tests and reflows citations.
Already in the system
- Corpus map ranked by target AI
- Master corpus with locked key claims
- Per-platform versions and registration
- Citation reflow: was it actually cited
All four run in one system on one set of fact cards: what your site says, what you publish, and what AI cites are the same sentence. Models do not treat inconsistent statements as facts.
Start with the piece you are missing
Cross-border site that buyers and AI can both read
The old problem with a cross-border site is that nobody comes. There is now a new one: buyers ask ChatGPT, Perplexity o…
See this front →MianxiangAI GEO Growth Cloud
The subscription system for the AI-answer and corpus fronts: visibility monitoring, fact cards, corpus center, citation reflow.
See plans →Start by seeing what AI says about you
A 14-day trial, no payment method. On day 7 you get a visibility baseline and a gap list that says which of the four to fix first.