AI discoverability has become a more immediate communications issue in 2026. For Fortune 500 teams, the shift is showing up in a practical way: announcements, executive commentary, and newsroom content are increasingly part of how companies get interpreted in AI search. Recent industry data reinforces the same pattern many in-house teams are already seeing for themselves — earned coverage still shapes visibility, newer content moves faster, and content structure carries more weight in what gets surfaced. We are hearing the same thing directly from clients and in active meetings: mid-level communications leaders are being asked about AI discoverability now, even when the formal AEO or GEO workstream still sits with IT, digital, or a separate search function. Muck Rack’s March 11, 2026 PR FAQ, for example, notes that the first seven days carry the highest citation rate in its research.

That creates an opening for communications teams. They do not need to wait for a full technical roadmap to begin improving how their content performs in AI-driven discovery. Google’s guidance on AI search still comes back to fundamentals: make content crawlable, put important information in visible text, and publish pages that are useful and understandable. Google also says its AI search experiences tend to serve longer, more specific questions and follow-up queries, which raises the value of pages that explain clearly rather than merely announce. On the ChatGPT side, OpenAI says OAI SearchBot is the crawler used to surface websites in ChatGPT search features, and sites that block it will not be shown in ChatGPT search answers.

For enterprise comms teams, that means the first steps can be highly practical. At Manhattan Strategies, the non-IT starting point usually has three parts: a one-page internal explainer, a 30-minute team training, and an AEO-optimized press release template. That combination works because it gives the comms lead something to circulate internally, something to teach from, and something the team can use on the very next piece of content.

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What the First 30 Days Look Like

In practice, the first 30 days are not about “solving AI search.” They are about changing how the communications team packages information so the next wave of content is more useful, more structured and more reusable.

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Days 1-5: Aligning the Team

The first move is alignment. In a large organization, AEO becomes much easier to advance when the team has a concise internal brief that explains what matters and what communications can influence directly. This is where the one-pager comes in.

The most useful one-page brief does not try to teach the entire discipline. It translates AEO into seven editorial elements that writers and approvers can recognize on a page: contextual density, structured headings, summary bullets, schema awareness, supporting FAQs, source linking, and image treatment including alt text. The purpose is to make the issue feel manageable. It helps the team separate what can improve immediately in the writing and packaging workflow from what should later sit with IT or web operations.

This is often the point where the topic clicks internally. Instead of sounding like a technical abstraction, AEO starts to look like a set of editorial decisions. That is an important shift for mid-level communications leaders who are trying to build momentum across teams.

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Days 6-10: Training Your Team Who Writes & Approves Content

Once the team has a shared framework, the next step is a focused working session. A 30-minute training is usually enough to reset how people think about writing for discoverability.

The goal is not to turn communicators into search specialists. The goal is to help them recognize what makes a page more useful in a search environment where readers — and AI systems — are often trying to answer a specific question quickly. That usually means opening with the actual development, using the subhead to clarify significance, adding highlights when the news is dense, and writing quotes that contribute interpretation rather than repeating the headline.

One of the fastest ways we pressure-test a draft in these sessions is by asking four questions. Can a smart outsider understand the development in 20 seconds? Does the page explain why it matters now? Does the quote add substance? Is there enough supporting context for the obvious next question? Those questions tend to sharpen a release very quickly.

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Days 11-20: Implementing an AEO-Optimized Press Release Template

This is where the work starts showing up in output. The easiest way to improve consistency across a large communications function is to improve the starting format.

An AEO-optimized press release template gives the team a structure that is stronger by default. At the top, we typically use concise highlights bullets so the central facts are visible immediately. The release then opens with a direct summary paragraph rather than a soft scene-setter. Quotes are written to add perspective or stakes. When relevant, the quoted executive’s name links to their LinkedIn profile to reinforce authorship and context. Supporting links move the reader to useful adjacent pages. A visual asset is included with descriptive alt text. The release closes with FAQs that address the next questions likely to arise.

That may sound simple, but it changes the quality of the source material materially. Google’s guidance emphasizes helpful, visible content, and OpenAI’s publisher documentation makes clear that discoverability depends in part on allowing the right crawler access. The editorial structure and the technical layer work together, but the writing changes can start first.

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Days 21-30: Activating & Demonstrating Proof

The final phase is application. Pick a small set of live or near-live pages and review them against the seven elements. Which pages answer the main question quickly? Which ones need more contextual density? Which would benefit from a short FAQ section? Which quotes are contributing useful perspective, and which are simply ceremonial? Where would a supporting link help a reader move deeper?

By the end of the month, the team should have four things: a shared internal framework, a trained group of writers and approvers, an upgraded release template, and several live examples that show the organization what better looks like. That is enough to create real momentum and enough to make the next internal conversation with IT or digital much more productive.

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An Approach that Works in 2026

This approach works because it is easy to socialize. A mid-level communications leader usually does not get traction by proposing a sweeping reinvention project as the first move. They get traction by bringing back a practical first phase that improves the next quarter’s output while the broader technical work continues in parallel.

That is also why this model increasingly shows up in different forms across enterprise accounts. In some cases, Manhattan Strategies builds it directly into the communications program as agency of record. In others, we complement the AOR and help bridge between the PR team and a larger AEO workstream already underway with IT. The editorial side and the technical side do not move at the same speed. This gives communications teams a way to start now.

The teams that make the fastest progress in AI discoverability are often the ones that improve how they publish before the rest of the organization fully catches up. In 2026, that is starting to look less like a niche tactic and more like a modern communications capability.

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