introductory language] AI search is undergoing a critical transition from "technology competition" to "trust reconstruction. When the problem of AI illusion frequently leads to the crisis of public opinion, and when the infringement cases of AI-generated content occur frequently, the authoritative media and the regulatory authorities begin to jointly explore the realization path of "trusted AI. In 2026, Xinhua News Agency will create the authoritative AI current affairs information intelligence body "Xinhua Language Code", marking the official entry of mainstream media to AI credible ecological construction. The Double-edged Sword of 1. AI Search: Opportunity and Crisis The Outbreak and Concerns of (I) AI Search In 2026, AI search has been deeply integrated into the daily life of users. According to CNNIC data, more than 40% of users will AI large models as information retrieval channels, and more than 80% of users are willing to try to AI new search engines. The ease of AI search is reshaping the way users get information. However, behind the outbreak of AI search lies a deep crisis of confidence. The March 15 party exposed the poisoning of AI large models, raising public concerns about the ecology of AI information. What's more, there are frequent cases of AI search rumors and injuries: teachers are AI to spread rumors and go to prison, and painters are AI to fabricate negative events-these events have seriously damaged the public's trust in AI search. (II) AI Illusion: A Serious Industry Problem AI illusion is the core technical challenge of AI search. Most AI have the problem of "making up the truth" when integrating information, and some AI do not even show the source of the citation, so users cannot verify the authenticity of the information.

The main risk types of AI search:

type of Risk	form of expression	typical case	degree of harm
AI illusion	generate false information out of thin air	fabrication of statutes that do not exist	high
obsolete information	reference expired data	cite the repealed policy	medium
missing source	do not display reference basis	unable to trace information source	medium
bias amplification	reinforce specific positions	presentation of controversial topics	medium high
content pollution	AI Poisoned Pollution Data Sources	false information is heavily cited	high

breaking the situation of 2. authoritative media: the credible AI practice of Xinhua language code (I) Xinhua News Agency's Strategy of AI Current Affairs Agent In 2026, Xinhua News Agency officially launched the authoritative AI of current affairs information intelligence, "Xinhua Language Code", which is the first time that mainstream media has explored the construction of AI credible ecology in a systematic way.

the core competence of xinhua dictionary:

core functions	capability description	problem solved
learning thought	authority Theory Learning Assistant	provide a reliable theoretical interpretation
find the source	information Traceability	solving AI Illusions
push the news	intelligent News Recommendation	personalized information push
ask the News	news Q & A Interaction	deep understanding of news content
distinguish between true and false	false information identification	identify AI generated rumors
stroke your head	event context combing	fast understanding of complex events
write an article	authoritative Content Generation	compliant AIGC Production

(II) Low Illusion Technology Path: Corpus, Model, Reasoning Whole Process Credibility The core technology path for Xinhua News Agency to create Xinhua Dictionary is "low illusion" rather than "zero illusion". This idea is based on the reality that AI illusion is a technical limitation that cannot be completely eliminated, but can be reduced to an acceptable range through systems engineering. Corpus level: the global authoritative news reports accumulated in 95 years have become high-value pure corpus. This content has been reviewed by professional editors and is far more credible than the open data captured by the Internet. Model level: special fine-tuning for the field of current affairs to ensure the accuracy of the model in the professional field. Reasoning level: strict output review mechanism for multiple validation of content involving key judgments. (III) Authoritative Source Intelligent Service: Mainstream Values Control AI The core advantage of Xinhua News Agency lies in the effective convergence of "authoritative source intelligent service. The accumulation of credibility in 1995 is the biggest competitive advantage of Xinhua Diandian, which is why Suzhou Niucheng Network always emphasizes the importance of "information source construction" when providing GEO services for enterprises. 3. legal perspective: the liability boundary of AI search infringement The First Case of (I) AI Illusion Infringement The case of infringement of the right of reputation caused by the "AI illusion" tried by the Nanjing Intermediate People's Court is a milestone. AI platform was sentenced to apologize for generating false information out of thin air, which is the first AI infringement judgment in China, which defines the legal liability boundary of AI services.

AI tort liability division:

subject	types of Liability	applicable Scenarios	typical case
AI Platform	liability for failure to exercise duty of reasonable care	platform does not filter obvious false information	nanjing AI infringement case
content Users	knowing that it is false, it is still responsible for spreading it.	Enterprises still spread knowing that the content is false	enterprise false propaganda
data Provider	joint and several liability for data quality issues	training Data Infringement	copyright infringement cases

the Legal Red Line of AI Marketing of (II) Enterprises Wu Shenkuo of the Law School of Beijing Normal University pointed out that users of AI-generated content still disseminate it even though they know that the content may be inaccurate, and they need to bear corresponding responsibilities. This means that companies must establish a content moderation mechanism when using AI-assisted marketing.

The main points of legal risk prevention and control of enterprise AI marketing:

risk link	type of Risk	prevention and control measures
content Production	AI generate false data	establishment of a fact-checking mechanism
content Publishing	unaudited AI Content	perform pre-release review process
channel distribution	AI Platform Violation Reference	select compliance AI channel
effect monitoring	misleading data presentation	transparency of data sources

4. GEO Compliance: A New Required Course for Corporate Marketing (I) from Voluntary Marking to Mandatory Marking: The Evolution of AI Content Compliance The four departments "AI Generated Synthetic Content Identification Measures" will be fully implemented in 2026, marking the AI content supervision into the mandatory standardization stage. Businesses must clearly identify AI-generated content or face legal risk.

AI the three stages of content identification:

stage	time	identification Requirements	intensity of implementation
voluntary labeling	2024-2025	incentive Marking	soft advocacy
mandatory identification	from 2026 onwards	AI source must be noted	hard Force
full chain traceability	after 2027	full traceability	technical Mandatory

core Strategy for (II) Compliance GEO In the process of serving enterprises, Suzhou Niu Orange Network has summarized three core strategies for compliance GEO: Strategy 1: Construction of content traceability system ensure that each GEO content is backed by traceable data sources and case studies. This is the most effective means of preventing the risk of AI hallucinations. Strategy 2: AI Content Identification Compliance strictly abide by the "AI generated synthetic content identification method", the AI to participate in the production of the content to be clearly identified. Strategy three: choose trusted source channel give priority to publishing content in authoritative media and compliance platforms, and use the credibility of the platform to enhance the credibility of the content. (III) enterprise GEO compliance self-inspection list

Core items of GEO compliance self-inspection:

self-inspection items	inspection standard	rectification requirements
data source	all data is well documented	establish data traceability mechanism
content Auditing	manual review before release	execute Review Process
AI identification	AI generated content tagged	add AI ID
platform selection	only published on compliance platform	clean up illegal channels
effect monitoring	deal with the problem content in time	establish a complaint response mechanism

5. epilogue In 2026, AI search is undergoing a profound transformation from "technology is king" to "trust first. The first case of AI infringement by the Nanjing Intermediate People's Court, the Xinhua Dictionary of Xinhua News Agency, and the full implementation of the "Measures for the Identification of AI-Generated Synthetic Content"-these events marked the official entry of the AI industry into the era of "credible AI. While embracing GEO marketing, companies must integrate compliance requirements into the entire content production process. Suzhou Niucheng Network will continue to pay attention to AI compliance trends and help enterprises build a GEO content system that not only meets regulatory requirements, but also meets user trust. Contact] Suzhou Cow Orange Network Technology Co., Ltd. Contact: Liu Tengfei Telephone: 18721502446 Website: www.zctgeo.com