Artificial intelligence is transforming content strategy across every sector — and government is no exception. But the conversation in the public sector often gets stuck in two unproductive places. It’s either focused too narrowly on AI as a drafting tool (“can it write our press releases?”) or caught up in risks and restrictions (“what are the guardrails?”). 

The more interesting question, and the one with the most strategic significance, is: How is AI changing the fundamentals of how government agencies create, manage, and deliver digital content?

The answer is: In ways agencies can’t afford to ignore.

How AI Acts as an Intermediary Between Government and Constituent

For most of the last two decades, government agencies built content strategies around search engines. Produce clear, well-organized content, optimize for the right keywords, and people searching for benefits, regulations, or services will find you. That model still has value, but it’s rapidly becoming insufficient.

AI tools are increasingly the first stop for people seeking information. Someone wondering whether they qualify for a federal assistance program, or trying to understand a regulatory requirement, may ask an AI assistant such as ChatGPT or Google Gemini before they ever visit an agency website. 

The AI draws on publicly available content to formulate its answer. If your agency’s information is clear, current, and well-structured, there’s a higher chance it will be cited or incorporated into that response. However, if your information is buried in a dense PDF or inconsistently organized across dozens of pages, it may not surface in AI responses. That means constituents and other users don’t get the information they need, or they’ll find it elsewhere. 

This new way of search also means government agencies now have two audiences for their content: the people who will read it directly and the AI systems that will synthesize it for others. Your content strategy has to account for both.

Structuring Content for an AI Search

As AI systems continue to serve as intermediaries between government content and the public, the way that content is structured matters more than ever. Several principles have emerged as particularly important.

Clarity and plain language: These have always been goals in government communication, but now they’re also optimization strategies. AI systems perform better when content is written in clear, direct prose rather than bureaucratic language. The Plain Writing Act wasn’t just good civics; it turns out to be a good content strategy for an AI-mediated world.

Structured data and consistent metadata: Both allow AI systems (and other internal tools) to understand what a piece of content is, who it’s for, and when it was last updated. Agencies investing in content management systems with robust metadata capabilities are better positioned to have their content understood and cited accurately.

Comprehensive, authoritative coverage of a topic: Rather than fragmented content spread across dozens of pages, content with a clear focus tends to perform better in AI-generated responses. Agencies that consolidate information about a program or policy into a well-organized single resource are more likely to be cited as the authoritative source.

AI as a Content Operations Tool

The question isn’t whether AI tools will play a role in content creation, but how to incorporate them responsibly. AI can meaningfully accelerate several aspects of content operations that have historically consumed significant staff time, such as: 

• Summarizing long regulatory documents into plain-language overviews
• Identifying content that is outdated or inconsistent across a large site 
• Suggesting structural improvements to improve readability 
• Generating first drafts of routine content types (FAQs, press releases, program descriptions) for human review and revision 
• Translating or adapting content for different audiences

In government, where accuracy, legal precision, and accessibility requirements are non-negotiable, human review remains essential. None of these AI uses replace human judgment, but they do shift where human attention is most needed — from production work to review, refinement, and strategic decision-making.

Navigating the Governance Questions

Government agencies face governance considerations around AI that private sector organizations don’t. Questions about which AI tools are approved for use, what data can be shared with those tools, how AI-generated content should be reviewed and attributed, and what disclosures are required are all live issues across the federal government and in many states.

The agencies that are getting this right are developing AI governance frameworks proactively — not waiting for policy to catch up before beginning to use these tools thoughtfully. They’re establishing clear processes for AI-assisted content creation, including mandatory human review, fact-checking, and sign-off before publication. And they’re staying engaged with the evolving guidance from oversight bodies and peer agencies.

The goal isn’t to move fast and figure it out later. It’s to build the institutional structures that allow agencies to use AI tools effectively and responsibly, capturing the operational benefits while preserving the accuracy and trustworthiness that government information requires.

The Strategic Opportunity of AI for Government Content

Agencies that approach AI as purely a risk to manage will fall behind. Agencies that treat it as a tool to deploy without governance will make costly mistakes. The path that creates the most value — for agencies and for the public they serve — is a thoughtful integration that improves how content is created, maintained, and delivered.

That path starts with a clear-eyed assessment:

•  What content operations challenges could AI realistically help solve? 
• What governance structures need to be in place before you start? 
• How does your content need to evolve to be useful not only to direct visitors, but to the AI systems that are increasingly serving as intermediaries between government information and the public?

These are the questions that will define content strategy in government for the next decade. The agencies investing in thinking them through now will be the ones best positioned to serve the public effectively in an AI-mediated world. Forum One works with government agencies and mission-driven organizations to build content strategies that work in today’s rapidly evolving digital landscape. If you’re thinking about how AI should inform your content approach, we’d love to be part of that conversation. Learn more about Forum One’s AI Strategy services.