An overseas GEO (generative engine optimization) contract is only ever as strong as three clauses: the scope clause that names which AI models get measured and what content gets produced, the reporting clause that defines what numbers the buyer sees and how often, and the exit clause that decides who keeps the prompt set, the content, and the account access once the contract ends. Chinese exporters signing with an overseas provider for the first time tend to focus on price and deliverable count, and miss that the wording gaps in these three sections are what determine whether the engagement produces an owned, transferable asset or a locked-in subscription. This piece is commercial scoping guidance based on common contract structures, not legal advice, and every exporter should have a qualified contract lawyer review the final agreement before signing.

TL;DR

• Scope should name every AI model measured individually (ChatGPT, Claude, Gemini, Perplexity, Google AI Overview) with a stated scan frequency, not a vague reference to "AI platforms."

• The prompt set, the list of buyer-language questions the provider tests against, should be built from real overseas-buyer search behavior and explicitly owned by the exporter, not the agency.

• Content deliverables need a monthly count, named channels, and a copyright clause confirming the buyer holds rights on publication.

• The reporting clause should specify appearance rate, citation rate, and share of voice per model, delivered on a fixed cadence with the raw prompt list attached as evidence.

• The exit clause should guarantee hand-back of content, prompt history, and scan data with no lock-in on assets the exporter paid to build.

About the Author: Simaia works with B2B exporters and manufacturers across APAC on AI search visibility, including contract structuring conversations that come up once a client has already selected a GEO provider and needs the agreement itself reviewed clause by clause before signing.

Which AI Models Should the Scope Clause Name?

The scope clause should list every model the provider is contracted to monitor and optimize for by name, not by category. Chinese exporters selling into North America, Europe, or Australia are dealing with buyers who research suppliers on ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview, and each of these systems pulls from different sources and updates on a different rhythm. A contract that says "we optimize for AI search engines" without naming which ones gives the provider room to report progress on whichever model happens to show favorable numbers that quarter.

The wording gap that costs buyers here is scan frequency. A model list without a stated cadence, daily, weekly, or monthly, means the exporter has no way to know whether a reported visibility number reflects last week's reality or a scan run once at contract signing. Ask for the frequency written into the scope itself, per model, since Google AI Overview and Perplexity can shift week to week as they re-crawl sources, while a model like Claude may show slower movement.

What Should Be in the Prompt Set Clause?

The prompt set is the list of buyer-style questions the provider tests the exporter's brand against across each model, and it is the single most valuable asset produced in a GEO engagement. A prompt set built well reflects how an actual overseas sourcing manager or procurement lead phrases a question when looking for a supplier, not how the exporter's own marketing team would phrase it internally. That distinction matters because AI models respond to natural buyer phrasing, and a prompt set built from internal jargon will consistently under-report real visibility.

The clause should state three things: the size of the prompt set, how it gets built (ideally from a documented research process, not the provider's guesswork), and that the exporter owns the set outright. Ownership matters because the prompt set is cumulative institutional knowledge about how the exporter's buyers actually search. If the relationship ends and the prompt set stays with the provider, the exporter loses the ability to benchmark itself or vet a next provider against a like-for-like question list.

What Goes Into the Content Deliverables and Ownership Clause?

Content deliverables should be written as a specific monthly count against specific channels, not a general commitment to "ongoing content production." A GEO engagement typically spans on-site blog posts formatted for extraction by AI models, LinkedIn posts, Reddit replies, press releases, and landing pages, and each channel plays a different role in how models like ChatGPT and Google AI Overview weight sources. The contract should name each channel the provider is producing for and how many pieces per month land on each.

The ownership gap is the one exporters miss most often. Content produced under the engagement should transfer copyright to the buyer on publication, written explicitly into the clause, not left to default under whichever jurisdiction's copyright law would otherwise apply. Without that line, an exporter that later switches providers may find itself unable to reuse or republish content it paid to have written.

What Should the Publish Approval Clause Say?

Publish approval defines what content goes live without exporter sign-off and what requires review first. This matters for any exporter shipping products regulated under international trade rules, since a blog post or press release referencing product origin, technical specifications, or supply chain details can intersect with export control and customs language that needs internal legal review before it is public. Off-site content like Reddit replies or LinkedIn comments often moves faster and may reasonably run without prior approval, while press releases and anything referencing regulated goods should require sign-off.

The clause should draw this line explicitly by channel rather than leaving "material changes" undefined, since a vague approval standard tends to default to whatever the provider judges as material.

What Should the Reporting Clause Require?

The reporting clause should specify three numbers: appearance rate (how often the brand shows up in response to prompts across each model), citation rate (how often the brand is directly named or linked as a source), and share of voice (how the exporter's visibility compares to named competitors), broken out per model rather than blended into a single composite score. A single blended number can mask a brand that dominates on one model while being invisible on another, which matters operationally since a buyer sourcing on ChatGPT and a buyer sourcing on Perplexity are effectively different audiences with different purchase behavior.

Cadence should be weekly, not monthly or quarterly, given how quickly model outputs shift as new content gets indexed. And the report should come with the raw prompt list attached as supporting evidence, not just a dashboard summary. Without the raw list, an exporter has no way to verify that a reported improvement reflects the same test conditions from one reporting period to the next.

What Access Should the Provider Have to the English Site, and How Should It Be Logged?

Technical access covers what the provider is permitted to change directly on the exporter's English-language website, such as schema markup, page structure, or metadata intended to make pages easier for AI crawlers to read. This is a narrower and more sensitive scope item than content publishing, because site-level changes can affect existing Google organic rankings if handled without care.

The contract should state that any technical change is logged with a timestamp and a plain-language description of what was changed, so the exporter has a record it can audit independently of the provider's own reporting. It should also state that content publishing pace is managed against the exporter's existing search console data, so that a push for AI visibility does not come at the cost of rankings the exporter already has in traditional search.

Why Should Chinese AI Platforms Be Written Out of Scope?

The out-of-scope clause should state plainly that Baidu, WeChat, and Chinese AI models sit outside the engagement and would require a separate agreement. This is not a formality. Chinese exporters operating under China's export control and data-handling framework need to be careful about which systems handle what data and where, particularly given the pace of change in China's own regulatory environment around outbound technology and information [geopolitechs.org][sipri.org]. Standard contracts for cross-border transfer of personal information carry their own compliance requirements under Chinese law [chinalawtranslate.com], and an overseas GEO contract focused on English-language buyer markets should not blur into domestic platform work that triggers a different compliance regime entirely.

Writing this out explicitly also protects the exporter from later disputes over whether a provider's fee covered Baidu optimization work it never actually delivered.

What Should the Exit and Hand-Back Clause Guarantee?

The exit clause governs what happens to the content, the prompt set, the scan history, and any account access once the contract ends, and it should state that all four return to the exporter with no lock-in. This is the clause most often left thin in a first draft, because it only matters at a point in the relationship neither party is focused on at signing.

Chinese exporters have some precedent to draw on here from how PRC contract law treats termination generally: the Civil Code allows unilateral termination where a party fails to perform its principal obligations, and parties can also build in their own mutually agreed termination triggers, such as a failure to hit a minimum performance threshold. Applying that same logic to a GEO contract, the exit clause should function like an agreed trigger, not something litigated after the fact. Every dispute resolution clause in the contract should also specify a named jurisdiction and mechanism for resolving disagreements, since a contract dispute resolution clause left generic or silent on venue creates unnecessary friction if the relationship sours before assets have been handed back cleanly.

How Should an Exporter Negotiate These Clauses?

Negotiate the exit clause first, not last. A provider willing to commit in writing to full hand-back of the prompt set, content, and scan history before the engagement starts is signaling that it expects to win the relationship on results, not on the friction of leaving. Ask for the model list and scan frequency in writing before discussing price, since price comparisons across providers are meaningless if the scope of what is being measured differs. As a worked example of how these terms can be structured buyer-side, Simaia's engagements are set up so the client owns the prompt set, the published content, and the scan history outright, with weekly reporting delivered per model alongside the raw prompt list used to generate it.

Frequently Asked Questions

Does a GEO contract need to name every AI model individually?
Yes. A scope clause that references "AI search platforms" generally, rather than naming ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview individually, gives the provider room to report only on the models showing the best numbers.

Who should own the prompt set used for testing?
The buyer. The prompt set reflects how the exporter's actual overseas buyers phrase their searches, and it has ongoing value as a benchmarking tool independent of any single provider relationship.

What reporting frequency should a GEO contract specify?
Weekly reporting per model, with the raw prompt list attached, gives the exporter a verifiable record rather than a summarized dashboard number that is hard to audit.

Are Baidu and WeChat normally included in an overseas GEO contract?
No. These typically fall under a separate engagement given differences in platform mechanics and China's data and export compliance requirements [geopolitechs.org][sipri.org][chinalawtranslate.com].

What happens to content and accounts when the contract ends?
A well-written exit clause guarantees the content, prompt set, scan history, and any account access all return to the exporter, with no assets withheld as leverage.

About Simaia

Simaia is an agentic marketing team built for B2B exporters and manufacturers who want to be found by buyers using ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview. It runs both the strategy layer (AI search audits, competitor gap analysis, trusted-source mapping) and the execution layer (on-site content, LinkedIn, Reddit, press releases) as a single done-for-you service, with clients owning their content, prompt sets, and reporting history outright. A global textile manufacturer client saw inbound leads grow from one every two months to five per month within two months of engagement, alongside a 3.5x year-over-year increase in AI bot visits to the site.

If your team is evaluating or about to sign an overseas GEO contract, get in touch with Simaia to see how buyer-friendly scope, reporting, and exit terms should be structured before you commit.

References

1. China's New Export Control Regulations: Products Containing Chinese Materials or Using Chinese-Origin Technology Can Be Subject to Control (geopolitechs.org)

2. China’s export control framework: Domestic developments and international positioning | SIPRI (sipri.org)

3. Measures on Standard Contracts for the Export of Personal Information (chinalawtranslate.com)