Project Background
A decoration company in a second tier city, established for 5 years, with an annual turnover of approximately 20 million yuan. At the beginning of 2026, it was discovered that more and more customers mentioned 'I asked Dou Bao to recommend your home', realizing that AI search is changing the way customers are acquired.
Initial state
- Search for "XX City Decoration Company" on ChatGPT, Doubao, and Kimi, but the company has never been mentioned
- The content on the company's official website is outdated and has not been updated in the past 2 years
- No schema tags, no structured data
- On the second page of Baidu search ranking, there is limited natural traffic
Optimization plan
Month 1: Infrastructure
- Rebuilding the official website and adding schema tags for Organization and LocalBusiness
- Improve merchant information on Baidu Maps, Amap, and Meituan
- Organize 50 real decoration cases, each accompanied by pictures and presented in a structured manner
- Publish a guide to avoiding pitfalls in decoration on Zhihu and Xiaohongshu
Second month: Content deepening
- Publish an industry comparison article on "Ranking and Reputation Analysis of XX City Decoration Companies"
- Practical tool based content for creating the "2026 Decoration Budget List"
- Release 15 second short video of decoration knowledge in Tiktok (each marked with company information)
- Encourage loyal customers to write authentic reviews on multiple platforms
Third month: Continuous optimization
- Update 1 decoration knowledge article per week
- Monitor the citation status of various AI engines
- Adjust content direction based on reference data
Optimization effect
| Indicator | Before optimization | After optimization (3 months) |
|---|---|---|
| AI engine brand mentions/month | 0 | 120+ |
| Consultation volume brought by AI recommendation/month | 0 | 35 |
| AI recommendation consultation conversion rate | - | 28% (much higher than other channels) |
| Official website natural traffic | 500/month | 3200/month |
Key success factors
1. Depth of localized content: It is not a general discussion, but a deep content targeting the decoration market of "XX city"
2. Multi platform information consistency: The enterprise information on all platforms is completely consistent, enhancing the trust of AI.
3. Real case driven: 50 real decoration cases provide rich structured data sources.
4. Continuous updates: Keep content updated every week to meet AI's preference for fresh content.