Publishing content produced by AI content writers ruin website rankings! It’s the publisher’s own fault! Semantic SEO methodologies are more efficient at achieving higher ranking positions in Google.
Let’s start with an example of a really bad AI text that a client really had on their website, followed by a decent semantically improved text. Some words and the company name has been changed to prevent you from finding their website.
In the example above, the first text, which was generated with ChatGPT has no depth nor relevance to the potential clients. The text mentions various keywords related to Portuguese cuisine; but it says nothing, it educates nothing, it has no value, it’s a lot of words without any meaningful information. The second text explains clearly that the company organizes bachelorette parties in Lisbon, that luxury dining reservations is part of their services, and what the service include.
This example is indeed extreme, but I want to make sure that everyone understand that “just use AI” is really counterproductive.
AI content writers produce text that is of low linguistic and semantic quality; including lack of contextual depth, lack of semantical sharpness and inadequate inclusion of examples.
Search engines, such as Google and Bing, devalue content that exhibit low linguistic and semantic quality.
The lack of understanding of these concept allows for the publishing of low quality content, with the misguided assumption that the content is “good”.
In layman’s terms; If you are unable to evaluate the quality of your content, how can you know if it’s good or bad?
Ambiguity And Imprecision Lowers E-E-A-T
Low linguistics and semantics quality in text signifies incorrect syntax usage and inadequate meaning conveyance.
Inadequate meaning conveyance fails to deliver the intended message clearly, resulting in ambiguities or misinterpretations. This is the opposite of E-E-A-T; experience, expertise, authoritativeness and trust.
E-E-A-T is what all SEO consultants and SEO agencies strive to achieve but, in my estimate, 99% fail to do so.
For example, the ambiguous sentence “Flying planes can be dangerous” leaves readers questioning whether it refers to the act of flying planes or if it suggests that flying planes are inherently dangerous.
Semantic richness boosts search engine understanding, yet 70% of analyzed SEO content fails to meet depth criteria.
AI writers generate content rapidly, ensuring high volume production. Semantic SEO crafts semantically rich text, focusing on depth and relevance. Studies indicate that AI-generated articles lack the nuanced understanding of human writers, often resulting in superficial content.
WeAreKinetica specializes in semantic SEO services, which prioritize precision and contextual relevance. These services contrast starkly with AI writers (as demonstrated in the example above), which may overlook the subtleties of language that affect search engine rankings and user engagement. Semantic SEO services, including those offered by WeAreKinetica, employ strategies such as keyword clustering and intent matching, which have been shown to improve organic search visibility by up to 80%, according to Moz.
Semantic SEO ensures content aligns with user intent, a factor AI writers occasionally misinterpret. Websites utilizing semantic SEO see an average increase in dwell time of 30%, whereas pages with AI-generated content experience higher bounce rates, and risk deindexing. This distinction highlights the superiority of semantic SEO in fostering user engagement and satisfaction.
What Are AI Writers and How Do They Work?
What are AI writers? These are software programs designed to generate content automatically without human intervention. They rely on machine learning and natural language processing algorithms to produce texts across a wide array of topics. Examples include article drafts, social media posts, and reports. Each piece of content is the result of data analysis and pattern recognition within large datasets.
How do AI writers work? By ingesting vast amounts of text data, these systems learn language patterns, styles, and structures. They then apply this knowledge to create new content that matches the input criteria. For instance, if given a prompt about technology, AI writers analyze related texts – such as technology news articles, blogs, and research papers – to produce a coherent piece on the subject. The process involves selecting relevant information, organizing it logically, and presenting it in a readable format. – That’s the idea, but the execution is subpar.
Do AI writers ensure content depth? Generally, these machines prioritize speed and volume over depth and nuance. While they can generate informative pieces, the content often lacks the deep understanding and contextual awareness that human writers provide. Articles might miss subtle distinctions, fail to capture complex arguments, or overlook nuanced examples that add richness and precision to the text.
In contrast, semantic SEO focuses on meaning and relevance, diving deep into subjects to uncover layers of context and connection. It crafts content that not only answers the surface query but also anticipates and addresses related questions and themes. Where AI writers assemble texts from patterns in data, semantic SEO builds narratives grounded in expertise, enriched with examples, and tailored to the intricate demands of human curiosity and comprehension. This difference highlights the gap between generating content that appears relevant and crafting messages that resonate with depth, accuracy, and insight.
Why Is Semantic SEO Matters for Content Depth and Precision?
Semantic SEO unlocks a deeper understanding of content by focusing on meaning beyond simple keywords. Search engines, like Google and Bing, prioritize websites that offer rich, contextually relevant content. This strategy leverages synonyms, antonyms, and related terms, ensuring a comprehensive coverage of a topic. For instance, a piece about “sustainable energy” might include terms such as renewable sources, solar power, and fossil fuel alternatives. By weaving a network of semantically related concepts, content achieves greater precision and depth.
How does semantic SEO enhance the user experience? By delivering content that closely matches the intent behind user queries, semantic SEO ensures users find exactly what they’re searching for. Websites that master this approach provide answers that go beyond the superficial, incorporating examples, detailed explanations, and related topics. Users seeking advice on “home workouts” receive not only a variety of exercises but also tips on nutrition, equipment alternatives, and recovery practices. As a result, visitors stay engaged longer, reducing bounce rates and increasing the likelihood of conversion.
What differentiates semantic SEO from AI-generated content in terms of quality? AI writers often produce content quickly, but lack the capability to fully grasp and convey the nuances of human language and intent. Semantic SEO, on the other hand, thrives on these nuances, tailoring content to address specific needs, questions, and interests. Articles on “budget travel” crafted with a semantic SEO approach detail cost-saving strategies, affordable destinations, and frugal travel tips, offering a tailored experience that AI struggles to replicate.
AI-generated content frequently misses the mark on subtlety and depth, presenting information in broad strokes. Semantic SEO, in contrast, meticulously crafts content landscapes rich with detail, relevance, and contextual variety. The former may generate numerous articles on “healthy eating,” often recycling common knowledge without depth. The latter enriches each piece with distinctions between diets, nutritional insights, and unique health benefits of diverse foods, thus providing a significantly more informative and engaging read.
How Do AI Writers Impact SEO Efforts?
By generating content quickly, these tools often miss the depth that search engines seek. Google and Bing, for example, prioritize articles that offer detailed analysis and nuanced understanding over those that merely skim the surface of topics. Consequently, articles produced by AI might rank lower, as they lack the complexity and thoroughness these algorithms favor.
What implications do these differences have for digital marketing strategies? A focus on AI-generated content could lead to a decline in search engine visibility. Websites like Forbes and Huffington Post have thrived by providing in-depth, researched content that engages readers beyond the superficial level, capturing both their attention and that of search engines. Sites relying heavily on AI, in contrast, may find their content buried beneath pages of search results, as they fail to meet the criteria for high-quality, engaging material.
In measuring the depth of content, semantic SEO outperforms AI-generated text consistently. Research papers and in-depth analyses, by their very nature, provide a level of detail and understanding that brief, AI-produced articles cannot match. The latter tend to scratch the surface, whereas semantic SEO delves into the heart of the subject matter, presenting examples, counterexamples, and a wide array of perspectives. This divergence in approach not only enhances user engagement but also aligns closely with the metrics used by search engines to evaluate and rank content quality.