Would you trust a pharmaceutical testing company whose website repeatedly referred to SOPs as “recipes”? This genuine example demonstrates what can happen when AI-generated scientific content is published without knowledgeable human oversight.
The short answer: yes, but not without human oversight
Yes, used carefully, AI can make the scientific content process faster and more efficient. However, it should support scientific expertise, marketing strategy and human judgement rather than replace them.
AI can help scientific businesses research topics, organise ideas, create outlines and develop early drafts much more efficiently. However, publishing AI-generated copy without knowledgeable human review can result in generic content, technical inaccuracies, unsupported claims and pages that fail to demonstrate why a customer should trust your business.
This has become even more important following Google’s August 2026 spam update. Google is not penalising content simply because AI was involved in its creation. Its focus is on low-value content, created at scale, primarily to manipulate search rankings rather than help users.
For scientific SMEs, the safest and most effective approach is therefore human-led, expert-informed and AI-assisted.
What changed in Google’s August 2026 spam update?
Google released its August 2026 spam update on 18 August and completed the rollout on 21 August. It applied globally and across all languages.
Google did not officially describe its August 2026 spam update as an “AI SEO spam update”, nor did it state that all AI-written content would be penalised. The update improved Google’s automated systems for identifying content and practices that breach its existing spam policies.
One of those policies concerns scaled content abuse; when large volumes of pages are created primarily to influence search rankings. Google gives several examples, including using generative AI to produce numerous pages without adding value, scraping content and combining information from other sources without meaningful original input.
The issue is not the tool used to create the content. It is the purpose, quality and value of the finished page.
Why Human Oversight Matters
Does Google penalise AI-generated content?
No, not because it was created with AI. Google’s published guidance acknowledges that generative AI can be useful for research and for adding structure to original content. A page is unlikely to be judged negatively merely because AI helped create an outline, summarise information or support an initial draft.
Problems arise when businesses use AI to publish large volumes of content that:
- exists primarily to attract search traffic
- repeats information already available elsewhere
- demonstrates little first-hand experience or subject expertise
- contains inaccurate, misleading or unsupported claims
- has not been properly reviewed
- provides no meaningful value beyond the pages it imitates
A human-written page can be unhelpful or created simply to manipulate rankings. Equally, an AI-assisted page can be accurate, original and valuable. Google’s concern is ultimately the content users encounter, rather than whether every sentence was typed by a person.
What is “AI slop” and why is it a problem?
“AI slop” is an informal term for mass-produced content that looks polished but offers little substance. It may be grammatically correct, logically structured and filled with relevant keywords, yet still be repetitive, vague and interchangeable with hundreds of competing articles.
AI has made this type of publishing extremely easy. A business can identify a list of search terms, generate dozens of articles and upload them with minimal cost or review. This may create more pages, but it does not necessarily create more expertise, authority or trust.
For readers, the result is a web filled with articles that repeat the same surface-level information. For the company publishing them, it can weaken the brand and make specialist services appear generic.
Why is unchecked AI content particularly risky for scientific businesses?
Scientific and technical content leaves less room for plausible-sounding errors. Your website may discuss complex products, analytical methods, validation data, regulatory requirements or important distinctions between technologies. The information must not only read well; it must be correct and up to date.
Unchecked AI-generated content can:
- invent or misrepresent technical details
- confuse similar scientific terms, standards or regulations
- overstate the evidence supporting a product or service
- omit limitations, exceptions or essential context
- claim capabilities that your company doesn’t have
- use outdated information
AI generates responses based on patterns in information. It does not know your products, customers, evidence base or commercial priorities unless these are accurately supplied, and even then, it can make mistakes. One of our favourite examples we like to use when explaining to clients is a pharmaceutical testing blog we came across that continuously referenced SOPs as recipes!
When content is published on your website, your company becomes responsible for it. In scientific industries, one inaccurate claim can undermine confidence in far more than the individual page. Can you imagine what any QPs must have thought when reading the pharmaceutical testing ‘recipe’ blog!?
Can AI content still rank well in search results?
Yes. AI-assisted content can rank when it is useful, accurate, relevant and worthy of being found. However, using AI does not remove the need for a sound SEO and content strategy.
To perform well over time, a page should answer a genuine audience need, demonstrate credible expertise, contribute something original and fit clearly within the wider purpose of the website. It also needs to be structured so search engines and AI-powered discovery tools can understand its subject, context and authority.
Simply asking AI to “write an SEO article” often produces predictable headings, broad claims and repeated keywords. It may look optimised, but it rarely reflects real customer conversations, differentiates the business or supports a meaningful commercial objective.
Take a look at our Scientific SEO Services.
What does proper human oversight involve?
Human oversight is much more than correcting spelling and grammar after AI has produced a draft. It should influence the content from the initial idea through to final approval.
Proper oversight includes:
- identifying the questions customers genuinely ask
- understanding the search intent behind the topic
- deciding whether the company has genuine authority to discuss it
- gathering input from scientists, product specialists or regulatory experts
- checking every technical statement and commercial claim
- adding original experience, examples, data or informed opinion
- adapting the language to the intended reader
- connecting the content to the wider customer journey
- deciding what the reader should do next
- reviewing and updating the page as information changes
It also means recognising when an AI-generated draft is fundamentally weak and should be discarded rather than lightly edited.
How does human oversight support E-E-A-T?
This also relates directly to Google’s E-E-A-T principles: Experience, Expertise, Authoritativeness and Trustworthiness. Scientific website content should demonstrate genuine experience, include insight from suitably qualified people and be supported by accurate, reliable evidence. Publishing generic AI-generated copy without expert review can weaken these signals because it can lack first-hand knowledge, original insight and clear accountability. A human-led approach allows scientific SMEs to use AI efficiently while ensuring that every page reflects real expertise, substantiates important claims and gives readers, and search engines, good reason to trust the organisation behind it.
Google says that E-E-A-T is not a single ranking factor, but that its systems use signals associated with experience, expertise, authority and trust. It also strongly encourages clear authorship information. For further information, check out Google’s people-first content guidance
Why do scientific marketing experts remain valuable?
As a specialist Scientific Marketing Agency, we understand that producing sentences has never been the full value of a marketing expert.
Effective scientific content writing brings together technical understanding, audience insight, positioning, brand voice, SEO, generative engine optimisation and conversion strategy. It must translate complex information without distorting it and provide enough detail to establish credibility without overwhelming the reader.
A scientific marketer should ask:
- Is this a real priority for the target audience?
- What can your business say that competing pages cannot?
- Which claims require evidence or expert qualification?
- Is the technical detail appropriate for the intended reader?
- Does the content reflect the company’s true expertise and tone?
- How does this page support a wider commercial goal?
- What should the reader understand, feel or do next?
AI can propose answers, but it cannot take responsibility for these strategic and editorial decisions. This is where experienced marketers, working with subject-matter experts, remain essential.
Find out more about our scientific content writing services.
What should I not leave entirely to AI?
AI should not independently decide what your business can do, whether scientific information is correct or what advice is safe to publish. It should not be relied upon as the sole source for current regulatory information, technical specifications, clinical evidence or competitor facts.
It is also unwise to allow AI to generate and publish a high volume of keyword-led pages with no expert involvement. Even if those pages attract short-term visibility, generic content does little to build long-term authority, and may expose the website to quality, reputational and search-performance risks.
What is the best approach for scientific SMEs?
The strongest approach is to combine the efficiency of AI with real scientific knowledge and professional marketing judgement.
Use AI to accelerate suitable parts of the process, but build the content around your company’s own expertise, customer knowledge, evidence and experience. Every page should have a clear audience, a useful purpose and an accountable human reviewer.
Scientific SMEs do not need to compete with mass-produced content on volume. Their advantage is something generic AI content cannot manufacture; genuine expertise, first-hand experience and a credible understanding of their customers’ problems.
So, should AI write your scientific website content?
AI can help you create scientific website content, but it should not act as your unsupervised author or your in-house subject matter expert.
The August 2026 spam update reinforces a direction Google has taken for some time: low-value, scaled content created primarily for search engines should not be rewarded. The answer is not to avoid AI altogether. It is to use it with purpose, evidence and meaningful human oversight.
The future of scientific content marketing is not humans versus AI. It is low-effort publishing versus expert-led communication.
Need support with scientific website content?
Network Scientific Marketing helps scientific businesses turn specialist knowledge into accurate, engaging website content that supports search visibility, credibility and commercial growth.
Our approach is human-led and AI-assisted. We use technology where it adds efficiency, while strategy, scientific understanding, fact-checking and editorial accountability remain firmly with experienced, knowledgeable people.