AI tools can help a business draft and adapt content quickly. But publishing large volumes of AI-generated pages without adding value may conflict with Google’s spam policy on scaled content abuse. For business owners, the practical issue is not whether AI can produce words. It is whether those words offer visitors something useful and original.
A recent Practical Ecommerce article on AI content for SEO describes Google’s emphasis on people-first content and its guidance around AI use. The article also points to signs that Google is working to detect and filter AI-generated content. Its central message: use AI carefully, and do not mistake speed or volume for quality.
What Google’s guidance means for your content
Google’s guidance, as reported by Practical Ecommerce, calls for original, high-quality, people-first content that demonstrates experience, expertise, authoritativeness and trust. The article says Google’s guidelines warn that using generative AI or similar tools to make many pages without adding value for users may violate its spam policy on scaled content abuse.
That distinction matters. The concern described in the source is not simply that a business used an AI tool. It is the production of many pages that add no meaningful value. A page can be fluent and still lack original experience, useful observations or expertise. If a visitor could find the same substance elsewhere, polished phrasing alone does not make it distinctive.
The article also says Google’s guidelines encourage publishers and businesses to disclose AI use so readers understand how content was created. The author believes disclosure may become required, but presents that as an expectation, not a current requirement. Businesses should avoid treating that prediction as settled policy.
For a small or growing business, the safest editorial question is straightforward: What does this page give the reader that a generic summary would not? It might be first-hand experience, a considered opinion, original research or a clear explanation of your own products and services. If you cannot identify that contribution, reconsider whether the page is ready to publish.
Why publishing at scale can be a weak strategy
The source describes Google’s long-standing interest in first-hand experience and expertise. It also notes that Google’s Search Quality Rater Guidelines address EEAT and emphasize the effort involved in creating content. These ideas point toward a standard that is deeper than producing a large number of pages with relevant phrases.
Practical Ecommerce cites Grokopedia, an AI-generated version of Wikipedia from Elon Musk’s xAI. It launched in October 2025 and ranked prominently in Google results, generating millions of clicks. The article says Google acted almost immediately and dramatically reduced its visibility. That example is a warning against assuming that early visibility will last. It is not proof that every AI-assisted page will lose traffic.
The article also reports that Google staff analyst Abhinav Mathur published a research paper in June 2026. The paper described “an exponential challenge in detecting and mitigating the flood of AI-generated ‘slop’ and synthetic spam” and proposed methods for detecting AI-generated content. Practical Ecommerce further says Google announced a tool that lets users quickly detect it.
These developments make a volume-first content plan harder to defend. If your process is built around generating many pages with little editorial input, you may be investing in content that lacks the experience and effort the source says Google values. A more considered website strategy can help ensure your content supports a useful visitor experience, rather than simply filling pages.
Where AI can help, and where it needs a person
Practical Ecommerce recommends using generative AI for ancillary components derived from human creativity. The examples include YouTube video descriptions and accessibility summaries, product descriptions based on specifications rather than marketing language, charts based on statistics or proprietary data, and comparison tables based on unique research.
The common thread is that a person or business supplies the underlying substance. AI can help reshape that material, but it cannot make an invented insight real. A chart still needs reliable figures. A comparison still needs research. A product description still needs correct specifications. The source explicitly advises human review of AI-generated content for accuracy.
This distinction gives businesses a practical way to assign work. Use AI to help format, summarize or adapt material you already understand. Keep people responsible for facts, judgment and claims that depend on direct experience. If you are exploring AI solutions and automation, make review part of the process instead of treating it as an optional final check.
The source advises particular caution with full articles that claim to express an author’s original insight, experience or expertise. Generative AI platforms, it argues, repurpose content without adding personal experiences, opinions or observations. If a piece represents your specialist knowledge, an AI draft should not stand in for your own contribution.
Social media is another area where the article warns against relying on generic AI output. It says AI-generated posts can annoy users and recommends using social media for authentic human conversations. AI may help with variations or planning, but the voice and interaction should still feel like they come from your business.
Handle legal content and listicles carefully
The article treats legal documents as a special case. It says generative AI can produce basic documents and has passed law exams, but its accuracy depends heavily on prompts. It advises that only a lawyer should rely on AI for legally binding content, including privacy policies and terms of use. A non-lawyer might use a tool for an initial draft, then consult an attorney.
That is a useful boundary for business owners: a plausible-sounding document is not necessarily suitable for legal use. Do not publish AI-generated legal text as though it has been checked by a qualified professional. Use the draft, if at all, as a starting point for expert review.
Listicles also need more than a rearrangement of existing material. Practical Ecommerce says AI tools repurpose existing lists and therefore do not bring their own experience or expertise. Its suggested alternative is to provide your original list to ChatGPT and ask it to identify missing components. A person should then decide what belongs, based on the subject and the reader’s needs.
For e-commerce teams, the same principle applies to product information. AI can help turn accurate specifications into clear descriptions, but it should not invent benefits or add marketing language unsupported by the product details. A store built to make buying easy still depends on trustworthy information about what customers are considering.
What to do next
Review your current content process before producing more pages. The aim is not to ban AI from your workflow. It is to make sure every published page has a clear purpose and a human contribution where the subject requires one.
- Check pages created at scale. Look for pages that repeat the same information or offer no original insight. Prioritize content that claims to describe your experience or expertise.
- Write down the human contribution. Before publishing, identify the experience, research, specifications or observations that make the page useful. If there is no clear contribution, improve the material or reconsider the page.
- Use AI for supporting tasks. Consider summaries, descriptions based on verified specifications, or adaptations of your own research. Do not let the tool create evidence or expertise that your business has not supplied.
- Review every AI-assisted output. Check accuracy, relevance and whether the content reflects your actual knowledge. For legal documents, follow the source’s advice to involve an attorney.
- Be clear about AI use. Google’s guidance encourages disclosure, according to the article. Consider whether readers should know AI helped create or adapt a piece, and keep an eye on how Google’s guidance develops.
The useful question is not how many pages AI can produce. It is whether each page deserves a reader’s attention. Keep people responsible for original knowledge and important decisions, and use AI where it helps present that knowledge more clearly.
Sources
- Beware of AI Content for SEO — Practical Ecommerce, Oct 19, 2026
This article was drafted with AI from the sources above, then published only after passing 20 automated checks: every figure must appear in the sources, links must work, and nothing may be invented. Spotted an error? Tell us and we'll correct it.
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