ChatGPT Citation Data Analysis: Why Long-Form Content Is Actually Detrimental to GEO Optimization

815,000 Data Sets Reveal the Truth About GEO Content

For a long time, the SEO industry has held a deep-seated assumption: the broader the coverage of content, the more likely it is to be cited by AI-generated answers. Various "best practices" have been pushing you to create more content—more subtopics, more sections, more word count. Crafting the "ultimate guide" seems to have become the standard procedure.

However, a large-scale data analysis involving 815,484 query-page pairs has yielded a completely different conclusion.

Research Methodology and Key Findings

The AirOps team executed 16,851 queries through ChatGPT's UI interface, running each query three times, capturing the expanded sub-queries, retrieved URLs, and cited pages each time. They used the bge-base-en-v1.5 embedding model to score the cosine similarity between page H2-H4 subheadings and expanded queries (threshold 0.80), calculating the so-called "expansion coverage"—that is, how many subtopics the page covers.

The research results were surprising:

Expansion coverage has a minimal impact on citation rates. Covering 100% of subtopics only increases the probability of citation by 4.6 percentage points. This is the core evidence negating the "ultimate guide" strategy.

Two key signals that truly influence AI citations:

1. Density: The concentration of the page on the core topic. A page focused on a single subtopic is more likely to be cited than one covering multiple subtopics.

2. Relevance: The degree to which the page content matches the user's query intent.

Implications for Foreign Trade Content Strategy

This research finding has profound implications for content teams engaged in foreign trade website building and overseas customer acquisition:

Abandon the obsession with "big and comprehensive" content. Many foreign trade companies prefer to write long articles covering entire industry product catalogs, thinking that the more comprehensive, the better. But the data shows that this strategy actually performs worse in AI searches compared to focused, short-form content.

Create precise content around specific scenarios. For example, instead of writing "The Complete Guide to Chinese Manufacturing" (5000+ words covering 20 industries), write "5 Key Steps to Procure CNC Machined Parts from China in 2026" (1500 words focusing on a single scenario). The latter is more likely to be cited in AI searches.

Each page should solve a specific problem. When AI agents search for answers, they tend to cite pages that directly answer questions, rather than long pages from which information needs to be filtered.

Content Creation Recommendations for GEO Optimization

1. Conciseness is better than comprehensiveness: Break down existing "ultimate guides" into multiple focused subpages, with each page solving a specific user problem.

2. Increase topic density: Ensure that page content is highly concentrated on the target topic, avoiding too much extraneous content that deviates from the main line.

3. Optimize H2/H3 hierarchical structure: AI agents prioritize scanning page title structures to judge relevance. Use clear H2/H3 hierarchies, naturally embedding core keywords.

4. Answer questions directly in the content: AI tends to cite paragraphs containing clear answers. Use structured elements like Q&A formats, step-by-step lists, and comparison tables.

01CodeTech Professional Review: GEO optimization is not a simple continuation of SEO; it requires a new content mindset. Our data analysis team has already helped multiple foreign trade companies restructure "big and comprehensive" pages into focused subpages, with an average increase in citation rates in AI searches by 3 times. If you are unsure whether your existing content is suitable for AI search, feel free to contact us for a GEO content audit.