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AI Content Is Not the Problem: Low-Value Content Is AI is everywhere, and there’s no escaping it! There are AI chatbots on webpages, grammar-checking plug-ins, and tools for generating images, video, and written content at a scale that was unimaginable just a few years ago. AI has made it easier than ever to publish blog posts, landing pages, guides, FAQs, and product descriptions quickly. But speed is not the same as quality. At Big Deal, we’ve had to weigh the pros and cons of AI tools carefully – both for our own content and for our clients’ marketing strategies. Our team constantly studies how AI is changing search and how it affects where, when, and how often content shows up. We’ve developed a clear position: AI is a powerful supporting tool, not a replacement for original expertise, brand perspective, or real user value. Google has stated that it does not automatically penalize AI-generated content. Its focus is whether the content is helpful, reliable, and created for people – not for search engines. In plain terms: AI content itself is not inherently bad for SEO. Low-quality, generic, and mass-produced content is the real risk. What Is an AI Content Generation Tool? An AI content generation tool is software that uses artificial intelligence to produce written content based on prompts, inputs, or data. These tools can create blogs, product descriptions, meta titles, social posts, email copy, outlines, summaries, FAQs, and more. Common AI-assisted content tasks include:
Using AI to support these tasks is efficient and entirely appropriate. The risk comes when businesses use AI to publish large volumes of unedited, unoriginal, or shallow content. Google’s spam policies warn against scaled content abuse – producing many pages primarily to manipulate rankings rather than help users, regardless of whether the content is created by humans, automation, or AI. Simply put, any tool or approach that promises rankings through mass-produced, formulaic content glosses over serious risks. Pages may rank briefly, but the drop, when it comes, can be dramatic. What Goes Wrong: How AI Content Sites Lose Visibility AI-heavy websites can gain early traffic by publishing quickly and targeting many keywords. But rankings tend to decline when Google or users determine the content lacks originality, depth, real-world experience, or genuine usefulness. Here’s what drives that decline, and why it also puts your brand at risk. The Content Is Too Generic AI tools often produce safe, broad, predictable information. The output may sound polished, but it rarely says anything new. Common examples of weak AI content could include:
The Content Misses Search Intent AI can often answer a surface-level query but miss what a reader actually needs. A user searching “how to choose a roofer after storm damage” probably needs practical steps, red flags to watch for, insurance considerations, local context, and expert guidance – not a generic article about hiring contractors. The Brand Gets Diluted When shallow AI-generated pages mix with strong branded content, the weaker pages damage how users perceive your entire site. The downstream effects compound quickly:
And if competitors are using the same AI tools to answer the same prompts, your content may sound nearly identical to theirs. The more generic your content is, the easier it is for Google and users to replace it. Why Losing Google Rankings Also Hurts AI Search Visibility AI search experiences – including Google’s AI Overviews – rely on high-quality, authoritative, well-structured, and trusted sources. If your website loses organic visibility because of low-quality content, your chances of being referenced, summarized, or surfaced in AI-driven search results also decline. Google expanded AI Overviews in Search in 2024, making it even more important for brands to create clear, trustworthy, and useful content to be selected or cited in AI-enhanced results. If Google no longer views your content as one of the best available answers, AI search systems are unlikely to treat it as a source worth surfacing. AI search, including Google, is more likely to reward content that provides direct, useful, and well-supported answers. Google Is Moving Toward Content With Genuine Experience and Expertise Google uses a wide variety of signals when ranking content. After relevance is established, it prioritizes helpfulness – evaluated through the E-E-A-T framework:
AI can summarize what already exists. Your job is to add what only your business, your team, your customers, and your real-world experience can provide. Examples of experience-rich, E-E-A-T content from the Big Deal perspective:
When AI Content Can Be Useful AI is not something to avoid entirely (and you probably couldn’t if you tried!). Used responsibly, it’s a legitimate efficiency tool. Strong applications of AI in the content process include:
AI is strongest as a support tool. It is weakest when used as a replacement for strategy, expertise, research, and editorial judgment. Common AI Content Mistakes to Avoid – And a Checklist Before You Publish With great speed and efficiency comes great responsibility (cue Spiderman) – and real pitfalls. Here are the mistakes we see most often when brands lean too hard on AI:
Before publishing anything – AI-assisted or not – run it through this checklist:
If the answer to most of these questions is no, it is not ready to publish. The Bottom LineAI will continue to change how content is created, discovered, and summarized. But the core principle of great SEO hasn’t changed: the best content is the content that genuinely helps people. Websites that use AI to produce generic pages at scale may see temporary gains. Brands that invest in real insight, real experience, and real usefulness are far more likely to earn lasting visibility in both Google Search and AI-powered search experiences. At Big Deal Company, we use AI as a tool – not an author. Our content strategy is built on demonstrating real expertise, serving real audiences, and protecting the rankings and trust our clients have worked hard to earn. Want to talk about your content strategy? Let’s connect. FAQs Will Google penalize my site for using AI-generated content? Not automatically. Google has stated that it evaluates content on helpfulness and quality, not on whether it was produced by AI. What triggers ranking drops is content that is thin, unoriginal, or clearly created to game search results rather than serve readers. The safest rule: every page you publish should pass the test of genuinely helping a real person solve a real problem. How much human editing does AI content actually need? Enough to make it yours. At minimum, a human editor should verify facts, inject brand voice, add original insight or experience, and ensure the content actually answers what the reader came to learn. Think of AI output as a strong first draft – useful raw material that still needs a skilled hand to become something worth publishing under your name. Can AI content hurt my chances of appearing in Google’s AI Overviews? Yes – indirectly. Google’s AI Overviews pull from sources it already considers authoritative and trustworthy. If low-quality content causes your site to lose organic rankings, you become less likely to be cited or surfaced in AI-driven results as well. Organic and AI visibility are increasingly linked, meaning protecting one protects both. What’s the best way to use AI in a content strategy without sacrificing quality? Use AI for the tasks where it saves time without replacing judgment: outlining, research summaries, draft introductions, FAQ generation, and repurposing existing content. Reserve human expertise for strategy, voice, original insight, and final editing. That balance is exactly how the Big Deal team approaches content: AI handles the scaffolding - people build what matters. Follow us on social media for event highlights, creative inspiration, marketing tips, and updates on our latest projects.
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