How to use the AI search threat to clean up your charity website

The operational cost of search engine misinformation

Generative AI search tools are changing how the public accesses advice. Large language models (LLMs) powering tools like Gemini, ChatGPT and Google AI Overviews do not always generate false information out of thin air. Instead, they frequently scrape outdated, fragmented or contradictory pages sitting on your own website.

This creates direct operational problems for charities. Lauren Pope’s AI in charity content report shows that 36% of charity content practitioners have seen specific instances of AI tools serving inaccurate information about their organisation.

When users arrive at helplines or frontline services with AI-generated misquotes about grant criteria, medical advice or financial support, call handlers spend valuable time correcting those errors. In high-stakes areas like healthcare and legal advice, this misinformation causes genuine distress and harms public trust.

Framing website maintenance as risk management

Content teams have long argued for time and budget to prune outdated pages, but routine website maintenance is rarely seen as a strategic priority by senior leaders. Digital teams are often pressured to publish new campaign pages while legacy content remains online indefinitely.

The rise of AI search changes this dynamic entirely. Outdated content is no longer just invisible clutter sitting in your archive; it is active risk fuel for search engines.

This shift offers content practitioners a powerful narrative to bring to trustees and leadership teams. By framing content audits as operational risk management, you can secure the resources needed to retire old material and establish proper lifecycle governance.

Investing in testing to understand real search behaviours

Alongside cleaning up old pages, leadership investment must focus on understanding how your audience uses AI search in reality. Assuming that everyone uses search engines in the same way risks building a strategy on guesswork.

Running light-touch usability testing allows you to observe how service users, supporters and seekers interact with AI summaries. By testing prototypes or live search tasks with small groups of target users, you can see where people trust the automated overview and where they seek out the original source.

This primary research provides the evidence leadership teams need before making major strategic pivots. Understanding real user journeys ensures you spend your budget on fixing actual points of friction rather than chasing hypothetical search algorithms that are likely to change.

Learning from central government approaches

Public sector teams are already using this strategy to fix legacy content problems. The Department for Business and Trade noticed that AI models were scraping outdated policy guidance from across their web estate, causing confusion for business owners.

Instead of ignoring the issue, they used the challenge to transform their content operations. They audited their web pages, archived thousands of low-traffic guidance files, and centralised critical information onto clear signposting pages.

By establishing structured content and tracking updates through a central content tracking system, they drastically reduced misinformation while ensuring future policies are AI-ready. Charities can adopt this exact approach to turn a digital threat into a permanent operational improvement.

Practical steps to get your content house in order

Cleaning up your digital estate does not require rewriting every page at once. You can build momentum by focusing on small, high-risk areas first.

Gather clear evidence of misinformation

Monitor search engine results pages and AI summaries for your core services. Document specific examples where AI tools pull bad data from old pages, and share these directly with frontline service leads and senior stakeholders.

Test search journeys with real users

Observe five or six people as they research advice topics using both standard search engines and AI assistants. Use those insights to identify where AI overviews misrepresent your services or where your site fails to provide clear answers.   

Archive and delete legacy pages

Set up a clear governance process to retire outdated content. Deleting or archiving thin, redundant and outdated pages prevents search engines from indexing incorrect facts.

Strengthen page structures and metadata

Apply Schema markup, explicit review dates and structured headings to remaining pages. Clear structure helps both human readers and search algorithms quickly identify the authoritative source of truth.

Turning AI panic into lasting content discipline

Chasing generative engine optimisation tricks will not protect your organisation over the long term. True AI readiness relies on established content design best practices: clear structure, regular review cycles and user-centred editing.

At William Joseph, we help charity teams build connected content strategies that protect brand reputation and serve real human needs. By using the momentum around AI misinformation, you can finally build the case for a sustainable, well-governed web estate.