1
Your rankings
Live retrieval probing for 8 keywords: where each one ranks, and who ranks above you.
GENERATIVE ENGINE OPTIMIZATION (GEO) restructures what you already know about your brand into verifiable facts an AI engine can retrieve, parse and quote. Nothing here depends on outranking anyone — it depends on becoming readable. The result is a set of self-contained factual paragraphs, each of which can be lifted and cited on its own.
SEO wins a position on a page a human scans. GEO wins a mention inside an answer that cites only a handful of sources. The evidence each one rewards is not the same. In practice the two are measured by 2 different numbers: a rank position for SEO, a citation count for GEO.
| Dimension | Traditional SEO | GEO |
|---|---|---|
| Optimizing for | Ranking position in a link list | Being cited inside a generated answer |
| Output | A page of results the user compares | One synthesized answer with a few sources |
| Main signal | Backlinks and domain authority | Verifiability of claims and completeness of entity data |
| Content form | Keyword coverage and page structure | Structured facts, question-shaped blocks, traceable sources |
| Metrics | Rank, impressions, click-through rate | Citation count, brand mention rate, share of cited sources |
| Maintenance | Periodic updates | Monthly refresh because citation windows expire |
Spend CNY 1.00 to see where you actually stand before committing to anything larger. The report runs on retrieval facts alone and does not depend on a generative model, so it returns quickly — and what it returns is verifiable fact, not a subjective score.
Live retrieval probing for 8 keywords: where each one ranks, and who ranks above you.
Domain frequency across the top results for every keyword, reduced to the 10 competitors that appear most often.
Keywords that clearly have search demand but no position for you — the shortlist your content should actually target. The report lists these gaps per question rather than as a single score. Gaps are listed per question, not collapsed into 1 score.
Live mention testing for 4 questions (2 competitive, 2 opportunity), reported as a mention rate.
| Item | Detail |
|---|---|
| Price | CNY 1.00, one-off, not multiplied by the number of languages |
| Measurement scope | Choose one: Chinese (Doubao / Yuanbao / Baidu) or English (ChatGPT / Perplexity / Google) |
| What to supply | Brand or company name, core keywords and your website URL. Supplying the URL improves matching, because a domain match takes precedence over a brand-name match; without it, the report states plainly that matching fell back to the brand name and rankings may read low All 3 fields are required before the test runs. |
| Why it is fast | The report is built from retrieval facts rather than generation, so it is unaffected by model availability and never queues behind a generation job That means results are reproducible across repeated runs. |
The CNY 1 report answers one question: can you be seen. Building visibility actually involves the stages below, each with an artefact you can inspect.
| Stage | What happens | Artefact / test |
|---|---|---|
| Visibility measurement | Keyword rankings plus AI question mention rate | Competition and opportunity report (8 keywords + 4 questions) |
| Competitor occupancy | Domain frequency across top results, so you can see who holds the space | Top 10 competitor domains |
| Keyword selection | Write only for open slots — keywords with demand and no position for you — instead of guessing | Open-slot shortlist → editorial schedule |
| Source and fact checking | Before delivery, every article is checked on six local criteria: named quotations, data density, whether key claims carry a verifiable embedded source, paragraph self-containment, executive summary, structured hierarchy All 6 criteria must pass before the article is released. | Six-point content check result |
| Improvement actions | Any dimension below threshold gets a specific fix, plus a keyword-stuffing check | An itemised improvement list |
| Compliance boundaries | No outcome promises, no invented sources, no disparagement of competitors; AI-assisted content is labelled as each platform requires These 3 prohibitions apply to every deliverable without exception. | The published commitment list |
| Live channels only | Overseas distribution uses only channels that are actually live: DEV Community, Hashnode, Ghost and LinkedIn These 4 channels are the currently connected set. | 4 live channels; anything not yet connected is excluded from the quote |
To be explicit: source checking, the content check and improvement actions belong to the GEO article service, not to the CNY 1 report. We also do not offer or advertise standalone "AI hallucination detection" or "brand defect diagnosis" modules — they are outside our delivery scope. Engine-behaviour figures quoted anywhere on this site come from third-party public research, are not our own measurements, and do not predict the results of any specific project; the full data and sources are on the overseas promotion page.
Four stages, each with an artifact you can inspect. No stage is invisible work.
You supply first-party facts in three categories: entity details, verifiable data, and evidence links. Exaggerated claims without sources are rejected at review — they reduce credibility with engines. All 3 categories are needed; missing evidence links are the most common cause of rejected drafts.
Each target language is written for that language, not translated from a Chinese draft. Machine-translated text reads as low-quality source material and is rarely selected. That is why the overseas site runs across 14 language versions.
Every piece passes compliance and risk-wording review before publication. AI-assisted content is disclosed in line with each platform's rules. No item is published before that review completes. 2 gates run before anything goes live: compliance review and risk-wording review.
Content is distributed to high-authority platforms and kept fresh monthly. We track crawler visits in server logs, citation occurrence in answer tests, and factual accuracy. The refresh cycle is 30 days, matching the recency preference of the stricter engines.
robots.txt explicitly allowing GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bytespider and peers, plus a maintained llms.txt and XML sitemap. This site whitelists 52 user agents for exactly this reason.
Organization, Service, FAQPage, Product and Article markup, plus a complete entity profile with legal name, address and contact channels. These 5 types cover the questions engines most often ask about a business.
Sections engineered for extraction: conclusion first, reusable definitions, question-shaped headings and comparison tables.
One claim, one piece of evidence, one link. Anything unprovable is explicitly marked as unverified rather than asserted. That is the 1:1:1 rule applied to every factual sentence.
Visible publication and modification dates, plus dated structured data, so engines can judge recency. Both the visible date and the machine-readable date must be present. Both dates must be present in 2 forms: visible and machine-readable.
Crawler traffic changes, citation spot checks across your target questions, and factual accuracy review when the brand appears. These 3 signals are recorded separately rather than averaged into one score.
Priced in CNY. Start with one article, or commit to a monthly cycle — the monthly option exists because citation windows expire. The 2 options are a single article or a monthly retainer.
¥50
Citation-ready structure, sources, FAQ block and dated timestamps. Good for testing the marginal value before committing. These 4 elements are what make a single article testable.
¥3,680 / quarter
Four English articles per month, eight-platform distribution, monthly refresh and citation tracking. That is 4 articles across 8 platforms, refreshed every 30 days.
¥3,980 / month
Expanded article volume and broader platform coverage, with full AI visibility tracking.
Prices follow what is displayed inside the Shangxun Media GEO Project workspace (our WeChat mini program, "Shangxun Global Brand Promotion & Planning" / 商讯传媒全球品牌推广与策划) at the time of ordering; the figures here reflect the published rates as of 2026-09-22.
Retrieval and ranking algorithms are not public and change continuously. Any absolute guarantee would be untrustworthy. That is why no provider can honestly offer a guarantee. 0 providers can honestly offer an absolute guarantee against non-public algorithms.
Independent sourcing and conflict-of-interest disclosure are mandatory on those platforms. We supply a sourced evidence pack instead. Both requirements are enforced by the platform, not by us. 2 requirements are enforced by the platform, not by us.
Every comparative statement carries its own link. Unsourced disparagement is a liability during verification.
At minimum GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bytespider, Baiduspider and QwenBot. If a blanket rule blocks them, engines can never read your pages regardless of quality. Those 7 crawlers are the minimum viable set.
It lets an engine identify an entity without guessing, turning prose into machine-readable facts and lowering the cost of selecting you as a source. It does so by converting prose into the 5 structured types listed above.
No. Each language version is written for that language. Translated text reads as low-quality material and is less likely to be cited. A translated draft would fail the same quality bar we apply to clients. 1 translated draft would fail the same quality bar applied to client-facing content.
First-party facts in three categories: entity details, verifiable data, and evidence links such as official pages, reports and authoritative coverage. All 3 categories are supplied by you before writing begins.
Four signals: how often your brand appears in answers to target questions, how often your own site is attached as the source, AI crawler visit frequency in server logs, and factual accuracy when mentioned. These 4 signals are tracked per engine, never as a single average.
Some engines rarely cite anything older than six months. A one-off publication steadily loses eligibility, so refresh cycles are part of the service, not an upsell. That 6-month window is why a refresh cycle is part of the service rather than an add-on.
Test the marginal value with a single citation-ready piece, then decide at day 14 based on observed data.
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