According to Google, AI is considered a content creation tool and will not be criticized as a way of creating content. Google will still use the quality of the content as the basis for website ranking. This means that AI is not a threat to Google SEO, but a potential content assistant that will play an important role in the future. In addition, Google is actively embracing AI technology, and from recent intelligence, Google may launch search results based on AI-generated answers called "Google SGE".
In the Google algorithm update on September 15th, Google removed the description "Written by people" from its explanation of Helpful Content, which vaguely reveals a change in Google's attitude towards AI-generated content.
AIGC Definition
Before discussing how AIGC can optimize website SEO, we must first understand its core concepts and differences from traditional "AI". Artificial Intelligence Generated Content refers to text, images, videos or audio content created entirely or partially using AI technology. This includes not only converting complex data sets into human-readable forms but also creating entirely new content from scratch without human intervention. In less than a year, AI has shown great potential in SEO content production and creative expansion. For example, when writing this article, I used ChatGPT to provide me with planning suggestions for the article direction.
AIGC Characteristics and Advantages
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Automated Production: Through specific prompts and reference materials, AI can generate SEO content with the same article pattern more quickly, such as our common PR articles, greatly saving time and labor.
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Strong Adaptability: By providing specific knowledge materials in specific segmented fields, AIGC can adapt well to SEO content creation in specific fields and quickly summarize new field knowledge.
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Cross-Language Ability: Advanced AIGC models such as ChatGPT can handle multiple languages. Therefore, we don't have to worry about mixing languages when inputting and can also output across languages.
Comparison between AIGC and Traditional SEO Content
What are the differences between AIGC and traditional SEO content? The main differences are briefly described below:
Overall, AI provides an efficient and scalable tool for generating SEO content but does not completely replace traditional SEO content construction methods. The best way is to combine the efficiency of AIGC with human expertise and originality.
How to Use AIGC to Build SEO Website Content
Introducing AI-generated content means that we will use algorithms to produce, modify or enhance traditional content production methods. Here are two ways to create SEO content using AIGC: template-based generation is a common method of AI content generation, especially suitable for quickly producing a large number of structurally similar contents. By predefining templates, AI fills in corresponding information. The specific operations are as follows:
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1. Define template structure: First, you need to determine the basic structure of the content. For example, if you are creating product descriptions for a website, the template may be as follows: "{Product name} is a {product category} with {product features}, which is very suitable for {purpose}. Now only sold for {price}!"
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2. Data source: Provide necessary data for AI. This is usually information stored in databases or spreadsheets. For the above example, data may include product name, product features, product category, purpose and price.
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3. Personalization and optimization: To avoid mechanical or repetitive-looking content, we need to regularly review generated content and iterate and optimize templates to ensure that generated content can provide value correctly and accurately for target audiences.
Generation Based on Human-Machine Interaction
Generation based on human-machine interaction combines human guidance with AI capabilities and allows users to guide AI to create customized deep contents. This method involves more human intervention and is suitable for long-form keyword construction in SEO. Here are the steps for generating content based on human-machine interaction:
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1. Conceptualize input instructions: Everything starts with user input or guidance. This instruction needs to be determined by thinking about what the purpose of this AI output is. For example, if I need to introduce product features, I can ask AI "What are the advantages of this product compared to other competitors?"
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2. Review AI output: Based on user input, AI generates an answer. This may be a complete content fragment or just an abbreviated expression. You need to review the output from the perspective of whether the generated content can meet user needs at this stage.
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3. Iterate AI output: We confirm the problems with the current AI-generated content through the previous step and provide feedback for adjustment and optimization of templates accordingly. This process may be repeated many times until satisfactory results are achieved. If you think that the generated content is too long, you can suggest "simplify it into 3 steps".