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How can domestic enterprise websites be recommended first by domestic large models?

Views: 198     Author: Site Editor     Publish Time: 2026-09-14      Origin: Site

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1. Trend status: Domestic procurement has fully entered the era of AI selection

Industry survey data at the beginning of 2026 shows that the core channels for domestic enterprise procurement and trading company selection have undergone tremendous changes. 43% of procurement decision-makers and 51% of manufacturing procurement groups have routinely used domestic large models to research and screen suppliers, and the traffic of traditional search channels continues to decline.

Domestic procurement tool usage data:

Procurement Information Tool

Usage rate

Year-on-year change

Baidu search

76%

-12%

Ali1688

68%

+3%

Domestic AI large models (Wenxin/Doubao, etc.)

43%

+43%

Search on WeChat

52%

+8%

Industry exhibition

34%

-5%

Recommended by acquaintances

61%

-2%

Core conclusion: Enterprises that have not deployed domestic AIGEO will directly lose current domestic AI procurement inquiries, which is an immediate traffic loss.

2. Dismantling of the four major domestic mainstream AI model recommendation mechanisms

2.1 Baidu Wenxin Yiyan

Core bottom layer: Deeply bound to Baidu"s global ecosystem, relying on Baidu search real-time index + model training data.

Inclusion priority: Baidu Encyclopedia > Baijiahao high-weight content > Baidu Knows/Wenku > Ordinary official website content

Core features: Priority is given to quoting Baidu’s own authoritative content. Encyclopedia entries are the core basis for enterprises to be recognized and recommended by Wen Xinyiyan.

2.2 Byte Beanbag

Core bottom layer: Relying on the byte ecosystem, integrating global data from Toutiao Search, Douyin, and Xigua Video.

Inclusion priority: Douyin Enterprise account videos > Toutiao account graphics and text > Toutiao search web content

Core features: The strongest video content analysis capability in the entire network, corporate short video content can greatly increase the probability of bean bag recommendation, and social media interaction data affects the weight.

2.3 DeepSeek

Core bottom layer: self-developed large model + real-time search across the entire network, focusing on technology and structured data analysis.

Inclusion priority: Zhihu in-depth content>CSDN technical documentation>Professional technical blog>General information

Core characteristics: Preference for science and engineering, high-depth technical content, rigorous answers, emphasis on data, suitable for exposure to technology-based manufacturing companies.

2.4 Ali Tongyi Qianwen

Core bottom layer: Binds the Alibaba ecosystem and integrates Quark Search, 1688, Alibaba Cloud, and DingTalk data.

Inclusion priority: 1688 high-quality merchants > Alibaba Cloud corporate archives > Quark search high-weighted pages

Core features: Priority is given to recommending companies with high ratings and high sales within the Alibaba ecosystem. E-commerce business data directly affects the AI ​​recommendation ranking.

2.5 Overview of the four major model optimization dimensions

Contrast Dimensions

Wenxinyiyan

bean bag

DeepSeek

Tongyi Qianwen

core data source

Baidu global ecosystem

Byte short video + graphic ecology

Technical community + full network search

Alibaba e-commerce + Quark search

Preferences

Encyclopedia, authoritative pictures and texts

Short videos, industry short videos

Technical articles, professional Q&A

Store data, e-commerce cases

update frequency

High (real-time search)

High (ecological real-time updates)

Medium (scheduled search)

High (real-time synchronization of e-commerce data)

Core optimization entrance

Baidu Encyclopedia, Baijiahao

Douyin Blue V, Toutiao account

Zhihu organization number, CSDN

1688 store, Alibaba Cloud files

Optimization difficulty

★★★

★★★

★★

★★

3. Domestic AIGEO full platform practical implementation SOP

3.1 Baidu Encyclopedia (domestic AIGEO core infrastructure, must-do)

Baidu Encyclopedia is a high-weighted collection source for all large models in China. Companies without encyclopedia entries basically cannot be recommended by domestic AI.

Practical three-step method

Step 1: Create an entry: Log in to baike.baidu.com , search the full name of the company to confirm that there is no entry, select 'Enterprise Classification' to create, and fill in the basic information of the enterprise (name, establishment time, address, main business, official website).

Step 2: Standardized content writing (with traceability basis)

Encyclopedia module

Content points

Reference source requirements

Company Profile

Objectively introduce the core business within 500 words

Official website, industrial and commercial announcement information

Development history

Timeline to sort out key milestones

Authoritative media, official announcements

Products and services

3-5 core products and core advantages

Official website product manual

Qualifications and Honors

Patents, certifications, high-tech/specialized new qualifications

Announcements on official government websites and certification agencies

social responsibility

Philanthropy, ESG, industry contribution

mainstream media reports

Step 3: Add reference materials in compliance with regulations (key to review)

High-weighted valid sources: government official websites, central media/mainstream news media, listed company announcements, industry authoritative media; invalid sources: self-media, public accounts, forums, and encyclopedia content.

Review skills: Submit conservative output first, leaving only traceable content; give priority to obtaining media reports and government announcements before submitting, which greatly improves the pass rate.

3.2 Baijiahao (Wen Xin Yiyan’s exclusive content library)

The content of Baijiahao is the core reference material of Wen Xinyiyan, which has a higher priority than ordinary official websites. It is the core position for long-term stable AI exposure.

Account creation SOP

step

Specific operations

Completion time limit

1

Enterprise Blue V certification, submit business license

1-3 days

2

Improve the homepage, upload the LOGO, and bind the official website

1 day

3

Sort out the core/long-tail keywords of the industry and plan the content matrix

1 week

4

Post updates steadily and accumulate account weight

Lasts 3 months+

5

Comment, interact, participate in industry topics, and increase activity

long lasting

Standardized content update strategy

Content type

update frequency

word count standards

core role

Industry popularization

1 article per week

1200-1800 words

Cover long-tail purchasing keywords

Product technical analysis

1 article every 2 weeks

1500-2000 words

Strengthen product AI recognition

Corporate news

2-3 articles per month

800-1200 words

Precipitate brand authority signals

Industry Trend Report

1 article per month

2000-3000 words

Create industry voice

3.3 Zhihu Organization Account (full model technology trust core, focusing on adapting to DeepSeek)

Zhihu content is included in all major domestic models and is a core channel for technology companies to build trust in AI and improve DeepSeek recommendation rates.

Basic building

Register a Zhihu organization account, complete corporate certification, improve the company profile, bind the official website, and build an official professional image.

content layout matrix

Content form

Operation mode

core goals

Professional Q&A

Screen high-value industry questions and publish thousand-word answers

Seize search and AI Q&A traffic

Original article

Output technology dismantling and industry analysis dry information

Accumulate technical authority weight

short content ideas

Share industry views and technical insights

Keep your account active

High value issue screening criteria

Followers ≥ 1,000, views ≥ 100,000, highly industry-matched, answers < 200 (moderate competition, easy to pin)

Universal answer template (direct reuse)

[Opening] Directly give the core answers + opinions within 100 words
[Text 1] 300-500 words of industry status quo, data support
[Text 2] 800-1200 words of technical analysis, practical cases, data comparison
[End] 300-500 words of selection suggestions and solutions, naturally embedded in the company's advantages
[Summary] 100 words of concise closing to strengthen the professional impression

3.4 WeChat public account (Souyisou + AI dual traffic entrance)

WeChat Souyisou is the second largest search channel in China, and the content of public accounts can be retrieved and included by large models such as Wenxin and DeepSeek.

Content update strategy

Content type

update frequency

Core features

Product in-depth analysis

2 articles per month

Detailed explanation of technical parameters, application scenarios, and core advantages

Customer Success Stories

1-2 articles per month

Real data, practical results, strengthen trust

Industry original report

1 article per quarter

Own data + charts to enhance authority

Practical technical tutorials

1-2 articles per month

The steps are clear and practical, covering long-tail needs

Core optimization points

Embed core industry keywords in the title; condense the core information in the opening 200 words (AI capture key points); add industry topic tags at the end of the article; publish to Tencent documents simultaneously to increase indexing probability.

3.5 Douyin/Toutiao account (Doubao’s exclusive core traffic pool)

Douyin Blue V optimization

Complete the Enterprise Blue V certification, improve the homepage information, bind the official website and contact information; update 3-5 short videos of products, factories, and technologies every week; embed industry keywords in the video titles and descriptions, and enable the enterprise account product display function.

Toutiao account optimization

Open the one-click synchronization function of Douyin accounts, publish in-depth graphic content, layout headline search keywords, and accumulate byte ecological weight in both directions.

4. Real implementation case: AI inquiries from hardware companies surged 292% in 6 months

4.1 Corporate background

A hardware manufacturing company in Changzhou, specializing in precision metal stamping, CNC processing, and auto parts. Before the optimization, there was no domestic AI ecological layout, the mention rate of the four major models was 0, and it only relied on traditional channels to acquire customers.

4.2 Six-stage implementation process

Month 1 (Infrastructure Construction): Create and launch Baidu Encyclopedia, certified Baijia Account/Zhihu/Official Account/Douyin Enterprise Account, and complete basic enterprise files.

Month 2-3 (content explosion): Batch output of pictures and texts on Baijia, Zhihu, and official accounts, continuously update Douyin short videos, and complete the basic content matrix layout.

Month 4 (authoritative endorsement): Won industry media reports, special new qualifications, updated encyclopedia entries, and improved 1688 store certification information.

Months 5-6 (iterative optimization): Stable content updates, monthly monitoring of AI mention rates, optimization of low-exposure content, and iterative keyword layout.

4.3 Comparison of optimization effect data

core indicators

Before optimization

After optimization

Improve effect

Mention rate of Wen Xin

0%

72%

Significantly new recommendations

Bean bag mention rate

0%

58%

Significantly new recommendations

DeepSeek Mention Rate

0%

45%

Significantly new recommendations

Tongyi Qianwen mention rate

0%

53%

Significantly new recommendations

Baidu brand word ranking

Page 5

Home Page No. 1

Ranking improved significantly

WeChat search ranking

Not included

Home Page No. 2

New traffic entrance

Monthly domestic inquiries

12

47

+292%

5. Enterprise core decision-making suggestions

1. Baidu Encyclopedia is a must-have infrastructure: without encyclopedia entries, the company has no authoritative status in the domestic AI system, and it is a basic layout with relatively high input and output.

2. Accurately use content and reject average efforts: Baidu traffic focuses on encyclopedia + Baijia account; technology procurement focuses on Zhihu; young purchasing groups focus on Douyin; Alibaba ecological customers focus on operating 1688 stores.

3. Seize the 2026 golden window period: Domestic AIGEO competition is rapidly intensifying. Early deployment and early accumulation of authoritative data will form long-term AI recommendation barriers.

6. Appendix: Domestic AI effect monitoring template (direct reuse)

6.1 Common test prompt list

1. Recommend high-quality suppliers in domestic [industry]
2. What reliable factories are there in China [industry]?
3. [Product] Ranking of domestic manufacturers
4. What are the leading companies in [Industry]
5. Recommend reliable [Product] Chinese factories
6. [City] [Industry] Recommendation of high-quality companies
7. [Product] Which manufacturer has the best quality?
8. The top ten domestic [industry] brands
9. What are the high-quality export companies in [industry]
10. [Product] Supplier selection recommendations

6.2 Data monitoring record form

Test date

AI model

Prompt number

whether to mention

Recommended ranking

Remark

Wenxinyiyan

bean bag

DeepSeek

Tongyi Qianwen

About TPV Information Technology Co., Ltd.

TPV Information Technology (Changzhou) focuses on global AIGEO optimization at home and abroad, providing Chinese manufacturing factories with AI model recommendation layout, foreign trade customer acquisition system construction, and digital sales SOP implementation services to help companies seize domestic and foreign AI procurement traffic and realize their brands to be seen by AI and chosen by customers.