An Israeli government-funded campaign led by Clock Tower X, a company run by former Trump campaign manager Brad Parscale, has explicitly designed websites and content to produce what contracts call "GPT framing results" in chatbot conversations. The $46.5 million operation represents a new frontier in state influence: not controlling what people see directly, but shaping what artificial intelligence systems treat as credible knowledge.

Unlike traditional propaganda, this campaign does not attempt to hack into ChatGPT, Gemini, Copilot, or Perplexity's control rooms. Instead, it manufactures searchable, machine-readable content designed to be discovered and cited by AI answer engines when users ask questions about Israel, Gaza, and US-Israel relations. The technique exploits how modern chatbots work: many search the live web while answering questions, retrieving pages that appear relevant and assembling responses from those sources.

What Exactly Is This Campaign Doing?

Clock Tower X was contracted through Havas Media Germany on behalf of the State of Israel. According to filings under the United States Foreign Agents Registration Act (FARA), the program is formally described as a nationwide campaign to combat antisemitism. However, the contracts reveal a much broader scope.

The statement of work required Clock Tower X to deliver:

• Monthly Creative Assets: At least 100 original creative assets each month, with 5,000 monthly variants
• Search Optimization: Monthly search engine optimization campaigns using the Market Brew AI platform, plus at least 20 new pages targeting priority search terms
• Audience Targeting: Eighty percent of content tailored to Generation Z, with paid media expected to deliver at least 50 million impressions monthly
• AI Influence: Explicit deployment of websites and content to deliver "GPT framing results on GPT conversations"

The initial contract provided $1.5 million per month for four months, or $6 million, before an additional $3 million was added. By June 2026, a further FARA filing listed digital advertising charges of $4.5 million per month from April through October. The full Clock Tower X engagement totals $46.5 million, making it the largest active Israeli contract disclosed under FARA.

How Does This Influence AI Answers?

Drop Site News identified ten websites in what it called the Clock Tower network. Each presents itself as an information or educational resource, concentrating on distinct elements of the Israeli government's preferred narrative:

• PaxPoint: Frames Israel as a nation committed to peace
• Allyvia: Emphasizes strategic, economic, and military value of the US-Israel relationship
• FactSignal: Rebuts what it calls anti-Israel misinformation
• Cognitura: Focuses on Hamas, terrorism, and extremist organizations
• Justorium: Claims Israeli military conduct complies with international law
• Culturavia: Highlights cultural connections between Israel and the United States
• Compassion Pulse: Promotes Israeli humanitarianism and civilian protection
• Econora: Covers trade and economic ties
• InnovaScope: Discusses technology and innovation partnerships
• Feeding You Fiction: Claims that footage and accounts from Gaza are staged or misleading

The sites carry required disclosures that the material is distributed by Clock Tower X on behalf of the State of Israel. The problem is that an AI system may extract a paragraph, bullet point, or conclusion without reproducing that disclosure. A user can therefore receive state-funded arguments without knowing their origin.

When Drop Site News tested chatbots about recent material on PaxPoint, Perplexity and Microsoft Copilot did not alert users to the Israeli government connection, although Claude, ChatGPT, and Gemini did. In another test, Perplexity answered "Yes" when asked whether closer military cooperation with Israel would benefit the United States, and listed Allyvia as its leading source. Copilot also cited pages from the Clock Tower network.

Why Does This Matter for How You Use AI?

This campaign reveals a critical vulnerability in how AI systems generate answers. Many modern chatbots can search the web while responding to questions, translating user prompts into searches, retrieving relevant pages, selecting passages, and constructing responses from those passages. The model is not necessarily recalling material from its training data; it may be reading it moments before answering.

This creates what researchers call generative engine optimization (GEO), a new frontier in information warfare. Traditional search engine optimization attempts to make a page rank prominently in Google or Bing. GEO attempts to make information easy for an AI answer engine to locate, parse, quote, and synthesize. Content creator Wally Rashid demonstrated how Allyvia articles use descriptive headlines, frequent subheadings, "Key Takeaways" sections, short declarative claims, question-and-answer sections, bullet points, and lists of references, all designed to be easily extracted and cited by AI systems.

The distinction between traditional propaganda and this new approach matters significantly. Clock Tower X cannot simply enter a control room and rewrite an answer. It can, however, manufacture large quantities of searchable, machine-readable material, increase its visibility, and make it more likely that an AI system will encounter, retrieve, or cite it. This reveals a new frontier in state propaganda: the attempt to shape not only what people see on their screens, but what the systems answering their questions come to treat as credible knowledge.

How to Evaluate AI Answers on Contested Topics

Given these findings, users should adopt several practices when asking AI systems about politically sensitive or contested subjects:

• Check Source Attribution: Ask the AI to show you which sources it used to answer your question, and verify whether those sources are independent news organizations, academic institutions, or government-funded operations
• Cross-Reference Multiple AI Systems: Ask the same question to different chatbots (ChatGPT, Claude, Gemini, Perplexity) and compare their answers and sources to identify patterns or discrepancies
• Verify Disclosure Statements: When an AI cites a source, click through to the original page and check whether it contains disclosures about who funded or commissioned the content
• Seek Primary Sources: For major claims, ask the AI to point you toward original reporting from established news organizations rather than secondary analysis or advocacy content

The tests conducted by Drop Site News do not prove that every answer from these systems has been altered, and results can change with time, wording, location, product settings, and updates to search indexes. They do establish an essential point: the campaign's pages are eligible to be found and cited by widely used AI tools, and in some cases, they are being cited without disclosure of their government funding.

This development raises broader questions about the trustworthiness of AI answer engines as information sources. As these systems become more central to how people research important topics, the ability to influence what they cite becomes increasingly valuable to governments, corporations, and other powerful actors. The Clock Tower X campaign demonstrates that this influence is not theoretical; it is already happening at scale.