Liam Bateman, The Think Tank
AI-generated misinformation is not only a problem for politicians and celebrities. As more people use AI to research products, suppliers and technical questions, inaccurate information can also affect construction brands.
Imagine an AI platform incorrectly summarising a product’s sustainability credentials, confusing its suitability for a particular application or associating an outdated specification with its current range. Even if the error began on an obscure website, it could influence how an architect, contractor or buyer perceives the brand.
More concerningly, repetition can make the mistake appear increasingly credible.
How false information becomes ‘fact’
SEO expert Lily Ray demonstrated this problem by publishing an article about a fictional Google algorithm update. It included an intentionally absurd detail claiming the update had been approved ‘between slices of leftover pizza’.
Within 24 hours, Google’s AI Overviews had picked up the invented update and presented it as real. Other AI tools and websites repeated it, helping a fabricated story appear to have supporting sources.
A BBC journalist ran a similar experiment, publishing a false claim that he was a leading competitive hotdog eater among technology journalists. AI systems repeated that too.
This self-reinforcing cycle is known as the ‘AI slop loop’. An inaccurate claim is published, other AI-generated content reproduces it and AI platforms encounter multiple sources saying much the same thing. Repetition begins to look like consensus, even though every version may originate from the same false claim.
The problem is particularly acute where there is an information gap. If very little reliable content exists about a niche subject, product or business, a poor-quality source has more opportunity to shape the answer.
Why this matters in construction
Construction buying decisions often depend on detailed information about performance, compliance, installation, sustainability and suitability for particular environments. A misleading answer could therefore do more than create an odd description of a brand.
It could incorrectly suggest that a product holds a certification, confuse two manufacturers’ systems or repeat an environmental claim without the necessary context. It might also rely on obsolete information after a product, standard or business has changed.
This does not mean construction professionals will abandon technical scrutiny or accept every AI response without question. However, AI can shape an initial shortlist, suggest which suppliers to investigate and influence the questions a buyer asks next. An inaccurate first impression can still matter.
Can brands stop the AI slop loop?
It is extremely difficult to prevent inaccurate content from being published or repeated. Brands can, however, make it harder for the wrong narrative to fill an information gap.
The best defence is to create a clear, consistent and well-supported record of the facts. For construction businesses, this can include:
- Keeping product pages, technical information and certifications accurate and up to date
- Explaining clearly which applications, sectors and project types each solution is designed for
- Supporting performance and sustainability claims with specific, verifiable evidence
- Publishing useful case studies that name the product, project and outcome
- Ensuring information is consistent across websites, directories, distributors and industry platforms
- Building authority through credible trade media, professional bodies and expert commentary
It is also important to make this information easy for AI systems to access and interpret. Key facts should not exist only inside a hard-to-find PDF or complicated product tool. Clear headings, explanatory website copy, sensible internal links and structured data can all provide useful context.
Become the clearest source on your own brand
AI platforms will continue to improve, but brands cannot assume every inaccurate answer will be identified and corrected automatically. Monitoring how your business appears in AI search is becoming an important part of reputation management.
The fundamentals are reassuringly familiar: publish accurate information, substantiate your claims and build authority beyond your own website. The difference is that this work now influences not only what buyers find, but also how AI systems summarise and recommend your business.
The Think Tank’s AI Visibility Checklist provides practical steps for making your content and website easier for AI to find, understand and trust.