Competition Law in Eyewear Online Marketplace Ranking — China

1. Introduction

Online eyewear marketplaces in China—including marketplaces selling spectacle frames, prescription lenses, contact lenses, sunglasses and optical accessories—increasingly depend on algorithmic ranking. A platform may determine which eyewear seller appears first when a consumer searches for terms such as “blue-light glasses,” “high-index lenses,” or “designer frames.”

Ranking can be based on:

sales volume;

consumer reviews and ratings;

price and discounts;

conversion rate;

advertising payments;

seller reliability;

fulfilment and delivery performance;

return rates;

consumer behaviour;

paid promotion;

platform commissions;

historical transactions; and

algorithmic predictions.

Ranking itself is not unlawful. The competition-law problem arises when a powerful marketplace manipulates ranking to exclude competing eyewear sellers, favour its own eyewear products, discriminate against particular sellers, require exclusivity, or secretly sell preferential ranking positions.

China's current regulatory approach is particularly relevant because the 2026 Internet Platform Anti-Monopoly Compliance Guidelines expressly identify traffic allocation, product ranking, algorithms, search demotion, traffic restrictions and discriminatory algorithms as potential competition risks. (SAMR)

2. Applicable Chinese Legal Framework

A. Anti-Monopoly Law of the People's Republic of China

The principal statute is China's Anti-Monopoly Law, particularly the provisions concerning:

monopoly agreements;

abuse of market dominance;

unfairly high or low prices;

refusal to deal;

exclusive dealing;

tying and unreasonable conditions;

discriminatory treatment; and

mergers and acquisitions.

For an eyewear marketplace, the most important issue will ordinarily be abuse of dominant market position, assuming the platform possesses sufficient market power.

B. Platform Economy Anti-Monopoly Guidelines

The Anti-Monopoly Guidelines for the Platform Economy are particularly important.

They recognise that platforms can use:

algorithms;

platform rules;

data;

technical measures;

traffic allocation; and

other technological mechanisms

to influence competition. They also specifically contemplate circumstances in which platforms use algorithms or platform rules to restrict competitors' commercial conditions. (China Anti-Corruption Agency)

Thus, an eyewear marketplace cannot necessarily defend its ranking system merely by saying:

“The ranking was generated automatically by an algorithm.”

The legal question is what the algorithm does, why it does it, and what competitive effect it produces.

3. 2026 Internet Platform Anti-Monopoly Compliance Guidelines

A particularly important development is the 2026 Internet Platform Anti-Monopoly Compliance Guidelines issued by China's State Administration for Market Regulation.

The Guidelines expressly identify:

product-ranking algorithms;

recommendation systems;

traffic allocation;

search demotion;

discriminatory algorithms;

restrictions on traffic;

platform rules;

algorithmic price-setting; and

preferential treatment

as areas requiring competition-law compliance.

The Guidelines recommend that platforms conduct systematic review of their traffic-allocation rules, platform rules and algorithms and maintain audit records. (SAMR)

This is highly relevant to online eyewear because a marketplace can effectively determine the commercial success of an optical retailer through search visibility.

4. Relevant Market

The first analytical question is:

What is the relevant market?

A Chinese authority would not automatically define the market as the entire “eyewear market.”

Possible relevant markets could include:

Product market

online eyewear marketplace services;

online prescription-lens marketplace services;

online spectacle-frame marketplace services;

online contact-lens marketplace services;

online sunglasses marketplace services; or

broader online retail-platform services.

Geographic market

Potentially:

China-wide online marketplace services.

But the analysis depends upon consumer substitution and the competitive constraints imposed by other platforms.

5. Two-Sided Market Problem

An online eyewear marketplace is normally a multi-sided platform.

It connects:

Consumers

↓

Eyewear marketplace

↓

Eyewear manufacturers / optical retailers / lens laboratories

The platform therefore possesses relationships with both consumers and sellers.

Its competitive power may arise not merely from market share but also from:

network effects;

consumer data;

seller dependence;

switching costs;

brand recognition;

accumulated reviews;

algorithmic advantages;

logistics infrastructure; and

access to consumer demand.

The 2026 Guidelines specifically state that platform dominance assessment can consider market share, ability to control the market, financial and technological conditions, dependency of platform merchants, barriers to entry, and the characteristics of platform economics. (SAMR)

6. When Does Eyewear Ranking Become Anti-Competitive?

Consider the following hypothetical.

An online marketplace operates a major eyewear platform.

It sells:

third-party eyewear; and

its own private-label spectacles.

The algorithm normally ranks products according to:

sales + ratings + conversion + relevance.

However, the platform secretly modifies the algorithm so that its own eyewear appears above competing products even when competitors have:

better ratings;

lower prices;

greater sales;

better delivery performance.

That creates a potential self-preferencing / discriminatory ranking problem.

If the platform is dominant, authorities could examine whether the ranking practice constitutes an abuse of dominance.

7. Search Demotion

The opposite problem is search demotion.

Suppose an independent optical retailer refuses to purchase the platform's advertising package.

The platform then reduces its organic ranking from position 2 to position 80.

The retailer technically remains on the platform, but its practical access to consumers disappears.

This may be more significant than an outright suspension because the platform can argue:

“We have not excluded the retailer.”

Competition law may nevertheless examine whether algorithmic traffic restriction amounts to effective exclusion.

The 2026 Guidelines expressly identify use of traffic-allocation algorithms and product-publication rules to restrict a counterparty's access to traffic as a possible refusal-to-deal concern. (SAMR)

8. Paid Ranking

Paid placement is not automatically illegal.

For example:

Seller A pays for a clearly identified sponsored listing.

That can be legitimate advertising.

The competition concern increases where:

paid placement is disguised as organic ranking;

dominant sellers are systematically favoured;

rivals cannot obtain comparable exposure;

advertising is effectively mandatory;

sellers who decline advertising are algorithmically punished; or

the platform uses ranking manipulation to exclude competitors.

Therefore, transparency and competitive neutrality become important.

9. Preferential Ranking of Platform's Own Eyewear

This is one of the most important hypothetical scenarios.

Assume Platform X operates an eyewear marketplace and launches:

“X Vision Frames.”

It then changes its search algorithm so that X Vision Frames receive priority over independent optical merchants.

Potential theories include:

A. Abuse of dominance

If Platform X is dominant in the relevant marketplace.

B. Discriminatory treatment

If similarly situated third-party sellers receive materially worse ranking treatment.

C. Unreasonable platform conditions

If the ranking system forces sellers to purchase other platform services.

D. Exclusionary conduct

If ranking manipulation significantly forecloses competing eyewear suppliers.

10. Algorithmic Discrimination

Suppose two eyewear sellers have:

If the only material difference is that Seller B refuses to purchase the platform's advertising package, this may justify investigation.

The 2026 Guidelines specifically address situations where platforms apply different standards, rules or algorithms to otherwise comparable transaction counterparts. (SAMR)

11. Ranking and Consumer Welfare

Competition authorities should not automatically prohibit every ranking preference.

Ranking can legitimately improve:

product relevance;

consumer choice;

quality;

delivery reliability;

safety;

authenticity;

customer satisfaction.

For example, placing a prescription-lens seller higher because of demonstrably superior fulfilment performance may have a legitimate justification.

The central question is therefore:

Is the ranking algorithm genuinely designed to improve competition and consumer welfare, or is it being used as a mechanism to exclude rivals?

12. Six Important Chinese Cases

There are currently few Chinese reported competition cases specifically involving online eyewear ranking. Therefore, the most useful precedents are analogous Chinese platform, algorithm, search-ranking and digital-market cases.

Case 1 — Alibaba “Two Choices” / Exclusive Dealing Case

State Administration for Market Regulation, Alibaba Group case (2021)

This is probably the most important precedent for an eyewear marketplace.

SAMR found Alibaba dominant in China's online retail-platform service market and held that Alibaba had required platform merchants to choose between Alibaba and competing platforms.

The conduct was supported by:

platform rules;

market power;

data;

algorithms;

rewards and penalties.

SAMR imposed a RMB 18.228 billion fine, equivalent to 4% of Alibaba's 2019 domestic sales. (SAMR)

Relevance to eyewear ranking

Suppose an eyewear marketplace tells optical retailers:

“If you sell on our competing marketplace, your products will receive reduced traffic here.”

Even without an explicit prohibition, algorithmic punishment could potentially produce a similar exclusionary effect.

Principle: Platform technology cannot be used to enforce anti-competitive exclusivity.

Case 2 — Meituan “Two Choices” Case

SAMR v Meituan (2021)

SAMR found Meituan dominant in China's online food-delivery platform market.

Meituan used:

differential fees;

delayed merchant onboarding;

exclusive arrangements;

deposits;

data;

algorithms; and

punitive measures

to support its exclusivity policy.

SAMR imposed a fine of approximately RMB 3.442 billion and required return of RMB 1.289 billion in exclusive cooperation deposits. (SAMR)

Relevance

An eyewear marketplace could face similar concerns if it says:

“Optical retailer X will receive good search placement only if it does not sell through competing eyewear platforms.”

The important lesson is that algorithmic and commercial incentives can collectively establish exclusionary conduct.

Case 3 — Tencent Music Exclusive-Copyright Case

SAMR v Tencent Holdings / China Music Group (2021)

SAMR examined Tencent's acquisition of China Music Group in the online music-platform market.

The authority found that the combined entity controlled more than 80% of exclusive music-library resources and that the transaction could strengthen its ability to obtain preferential or exclusive arrangements, creating barriers to entry. (SAMR)

Relevance to eyewear

The analogy is particularly useful where an eyewear platform obtains exclusive relationships with:

major spectacle brands;

premium lens manufacturers;

optical laboratories; or

major designer eyewear brands.

If exclusive access to critical brands is combined with preferential ranking, the foreclosure effect could become considerably stronger.

Case 4 — “Negative Content Suppression” Search-Ranking Case

Chinese Supreme People's Court — Network Consumption Typical Case

The Supreme People's Court identified a case concerning an agreement to manipulate or suppress negative content in search results.

The case demonstrates that search-result positioning has economic and legal significance rather than being merely a technical feature of a website. (Supreme People's Court)

Relevance to eyewear

Suppose a platform:

suppresses negative reviews concerning its own eyewear;

promotes favourable reviews;

pushes competing products downward; or

manipulates search results to make its own products appear superior.

The case illustrates why courts may scrutinise the commercial and consumer consequences of search-result manipulation.

Case 5 — Public-Dianping / Fake Reviews and Ranking Case

Foodwei / Dianping platform fake-review case

The case involved an operator helping merchants create fake transactions and fake positive reviews to increase their ratings, rankings and platform traffic.

The court found that the conduct interfered with the platform's evaluation system and constituted unfair competition. (Supreme People's Court)

Relevance to eyewear

The same reasoning can apply to eyewear sellers who:

purchase fake reviews;

generate fake orders;

artificially increase ratings;

manipulate sales numbers; or

employ click farms to improve ranking.

For eyewear, this could be particularly harmful because consumers may rely upon rankings and reviews when choosing prescription products.

Principle: Artificial manipulation of ranking inputs can distort platform competition.

Case 6 — Reverse Traffic Manipulation / Search Demotion Case

Nanjing People's Procuratorate v Dong Zhichao and Xie Wenhao

The defendants deliberately made large numbers of purchases through an online transaction platform in order to cause the platform to identify the target merchant as conducting false transactions.

The resulting platform response was search demotion.

The Supreme People's Court's published material specifically recognised online-platform search ranking as an economically significant production factor and treated manipulation of that ranking as capable of causing serious commercial harm. (Gongbao)

Relevance to eyewear

This is directly relevant to an eyewear marketplace because it demonstrates the economic significance of search ranking.

If competitors deliberately manipulate an optical retailer's ranking by generating fake orders, fake returns or fake transactions, they may interfere with the platform's ranking system.

Conversely, if the platform itself deliberately manipulates ranking to punish a competing seller, competition-law concerns become much stronger.

13. Additional Data-Competition Precedent

A recent Supreme People's Court case concerning e-commerce platform data is also highly relevant.

The Court recognised that an e-commerce platform may possess legally protected competitive interests in aggregated product data and found that circumvention of platform security controls to scrape large quantities of product data could constitute unfair competition. (Supreme People's Court)

This matters for eyewear because ranking systems frequently depend upon:

product information;

prices;

ratings;

sales;

stock;

consumer behaviour;

conversion data; and

seller performance.

Consequently, data access and algorithmic ranking are closely interconnected.

14. Distinction Between Antitrust and Unfair Competition Law

This distinction is essential.

Antitrust

Usually asks:

Does the platform possess market power, and is its conduct eliminating or restricting competition?

Anti-Unfair Competition Law

May ask:

Has the conduct improperly interfered with another operator's competitive interests, consumer choice, platform rules or legitimate data?

Thus, a smaller eyewear marketplace might not satisfy the dominance requirement for an abuse-of-dominance claim but could still potentially face an unfair-competition claim.

15. Potential Anti-Competitive Ranking Practices

For an eyewear marketplace, the principal risk categories are:

1. Self-preferencing

Platform-owned eyewear receives artificial ranking advantages.

2. Search demotion

Competing optical retailers are pushed down without legitimate justification.

3. Pay-to-rank coercion

Sellers are effectively required to purchase advertising to maintain normal organic visibility.

4. Discriminatory algorithms

Comparable eyewear sellers receive materially different ranking treatment.

5. Exclusivity

High-ranking treatment is conditioned upon not using rival marketplaces.

6. Data exploitation

Platform uses seller data to identify successful eyewear products and then gives its own products preferential ranking.

7. Algorithmic retaliation

Sellers challenging commissions or refusing commercial terms are algorithmically penalised.

8. Fake-review manipulation

Sellers artificially manipulate reviews or sales to gain ranking advantages.

9. Manipulated consumer choice

The platform makes its own products appear organically recommended when they are actually commercially promoted.

10. Ranking based on discriminatory conditions

The platform uses irrelevant seller characteristics rather than legitimate quality or consumer-benefit criteria.

16. Legitimate Ranking Defences

A platform can potentially justify ranking differences by showing that they are based on objective and competition-enhancing factors, such as:

verified consumer satisfaction;

product authenticity;

delivery performance;

return performance;

product relevance;

inventory availability;

regulatory compliance;

verified optical qualifications;

product safety;

fraud prevention; and

consumer preferences.

For example:

A seller of prescription lenses with consistently high order accuracy and low complaint rates may legitimately receive better ranking.

The critical point is that the criterion should be genuine, proportionate, consistently applied and reasonably connected to the platform's legitimate objectives.

17. Evidentiary Issues

Algorithmic ranking disputes create difficult evidentiary questions.

Authorities or courts may examine:

source-code records;

algorithm versions;

ranking logs;

A/B testing records;

seller dashboards;

internal emails;

algorithm change histories;

advertising contracts;

traffic data;

conversion rates;

search impressions;

click-through rates;

seller complaints;

ranking before and after commercial disputes;

treatment of platform-owned products; and

internal algorithmic instructions.

A particularly important piece of evidence would be:

“Seller X refused the advertising package; reduce organic traffic by 50%.”

Even if the public-facing platform rules do not contain such a provision, internal algorithmic instructions could be powerful evidence.

The 2026 Guidelines encourage algorithm screening, human review, explainability and preservation of audit records. (SAMR)

18. Consumer Welfare Analysis

The effects should also be assessed from the consumer's perspective.

Manipulated eyewear rankings can cause:

higher prices;

reduced product choice;

reduced innovation;

misleading purchasing decisions;

lower-quality products receiving greater visibility;

reduced access to independent optical retailers; and

diminished trust in online marketplaces.

For prescription eyewear, these concerns can be particularly important because consumers may have difficulty assessing technical differences between:

lens coatings;

refractive indices;

blue-light filtering;

progressive lenses;

photochromic lenses;

prescription accuracy; and

frame quality.

Consequently, consumers may rely heavily on platform ranking and reviews.

19. Hypothetical Example

Facts

“China Vision Marketplace” has 70% of online prescription-eyewear marketplace transactions.

It also sells its own private-label lenses.

The platform algorithm publicly claims to rank products according to:

price + reviews + sales + consumer relevance.

However, internal records reveal that its own lenses receive an additional undisclosed ranking multiplier.

Third-party optical retailers that complain about the platform's commission are moved substantially downward.

Legal analysis

Potential issues include:

Market dominance — Does the platform possess substantial market power?

Self-preferencing — Is its own eyewear systematically favoured?

Discrimination — Are comparable third-party sellers treated differently?

Refusal/de facto exclusion — Does ranking demotion substantially restrict access to consumers?

Unreasonable conditions — Are sellers forced to purchase advertising?

Consumer harm — Does the practice reduce choice or distort purchasing decisions?

Algorithmic transparency — Can the platform demonstrate legitimate ranking criteria?

Competitive effects — Are rival optical retailers being foreclosed?

If these elements are established, the conduct could present significant competition-law exposure.

20. Compliance Framework for an Eyewear Marketplace

A Chinese eyewear marketplace should establish:

A. Written ranking policy

Clearly identify legitimate ranking factors.

B. Algorithmic neutrality

Prevent arbitrary preferential treatment of platform-owned eyewear.

C. Sponsored-result disclosure

Clearly distinguish advertising from organic ranking.

D. Seller appeal mechanism

Allow merchants to challenge unexplained ranking changes.

E. Algorithm audit

Regularly test ranking outcomes for discriminatory effects.

F. Self-preferencing review

Compare treatment of platform-owned and third-party eyewear.

G. Data governance

Prevent inappropriate use of competitors' confidential commercial information.

H. Competition-law review

Conduct antitrust review before materially changing ranking algorithms.

I. Audit trails

Preserve algorithm changes and decision records.

J. Senior-management oversight

Major ranking changes should receive competition-compliance approval.

These measures are consistent with the direction of the 2026 SAMR platform compliance framework, which calls for pre-event risk assessment, ongoing monitoring, post-event review, platform-rule review and algorithm screening. (SAMR)

21. Six-Case Comparative Table

22. Conclusion

Online eyewear marketplace ranking in China is not inherently anti-competitive. Ranking based on legitimate factors such as relevance, quality, consumer satisfaction, delivery and authenticity can improve consumer welfare.

The competition-law risk arises when a powerful platform uses ranking as a hidden mechanism for exclusion or discrimination.

The most serious scenarios are:

dominant platform + self-preferencing + opaque algorithm + competitor demotion + commercial retaliation

or:

dominant platform + ranking advantages conditioned upon exclusivity or purchase of platform services.

The Alibaba and Meituan cases demonstrate that Chinese enforcement authorities are prepared to scrutinise the interaction between platform market power, platform rules, data and algorithms. The 2026 SAMR Guidelines go further by expressly identifying traffic allocation, product ranking, search demotion and discriminatory algorithms as areas requiring anti-monopoly compliance. (SAMR)

Accordingly, for China's eyewear sector, the central legal principle is:

An online marketplace may rank products, but a dominant marketplace should not covertly manipulate ranking, traffic or search visibility in a manner that unjustifiably excludes competing eyewear sellers or distorts consumer choice.

The strongest legal analysis will therefore combine market-definition analysis, dominance assessment, algorithmic evidence, ranking effects, seller dependency, consumer harm and objective justification, rather than treating the algorithm itself as either automatically lawful or automatically unlawful.