A fake US think tank flooded AI chatbots with half a million words of pro-Israel talking points
A website posing as a research institute published 124 reports in nine days, using a platform built to make AI chatbots treat its content as credible source material.
Key points
- A pro-Israel messaging website published more than 560,000 words across 124 reports in just nine days, according to a Guardian analysis.
- The site carried the name of a think tank that does not exist.
- It was built on a commercial platform that explicitly promises to optimise content so AI chatbots will cite it as a source.
- Reports covered torture allegations, deliberate starvation claims and war crimes questions, all framed as neutral academic research.
- Funding traces to Israeli sources, with no disclosure on the site.
Imagine asking a chatbot whether Israel has committed war crimes and getting back what sounds like a calm, footnoted research brief. Now imagine that brief was written in nine days by a messaging operation, not a scholar. That's what a Guardian investigation found.
A website presenting itself as a US think tank published more than 560,000 words of pro-Israel content across 124 separate reports in under two weeks. No real organisation stands behind the name on the site. The funding traces to Israeli sources, with nothing disclosed to readers.
Why does it matter that chatbots were the target?
This wasn't a standard propaganda website hoping to rank on Google. The platform it was built on promises paying customers something more specific: content engineered so AI chatbots will read it, treat it as credible, and repeat it when users ask questions.
That process is called retrieval-augmented generation, or RAG, a technique where a chatbot pulls in outside text to support its answers. If a fake research report lands inside that pool of sources, the chatbot can quote it back as though it were peer-reviewed fact.
The reports covered subjects where Israel faces serious international scrutiny: allegations of torture of Palestinian prisoners, accusations of deliberate food restriction in Gaza, and questions about Israeli military conduct. Every report, the Guardian found, presented the Israeli government's position as the neutral, researched conclusion.
We reported in August on brands seeding Reddit with fake reviews so AI tools cite them. This operation runs on the same logic, applied to geopolitics rather than consumer products, and the consequences are harder to spot.
Who pays, and who gets fooled?
Somebody paid to build the site, paid for the content platform, and paid to produce the equivalent of two or three full novels' worth of text in nine days. No funding disclosure appeared on the site.
Ordinary readers are left exposed. A nurse checking background on a news story, a teacher looking for classroom context: both might ask a chatbot a straightforward question and get back laundered talking points dressed as research. The chatbot can't tell the difference between a genuine academic paper and a report from a think tank that doesn't exist. It reads words. If the words look like scholarship, it treats them like scholarship.
| Metric | Figure |
|---|---|
| Reports published | 124 |
| Total words | 560,000+ |
| Time taken | 9 days |
| Think tank's real-world status | Does not exist |
What should you actually do with this information?
When a chatbot cites a source, look it up. Copy the think tank's name into a search engine and check whether any presence exists outside the single site the chatbot found. Legitimate research institutes have staff pages, publication records, and press coverage that predate any single news cycle.
No chatbot today reliably flags when its sources are newly created or have no track record. That verification step still belongs to you.
Honestly, what worries me most isn't this one operation. It's the ones that stayed hidden long enough that we never counted them.
