What this blog covers:

• Why media-rich press releases build a stronger entity profile with AI systems.
• Why section headers help AI navigate straight to your core message.
• Why precise, quantified language outperforms promotional language.
• Why self-contained sentences survive AI extraction better than fragmented ones.

Generative AI is overtaking traditional search and becoming the predominant mechanism dictating online visibility, as ChatGPT, Gemini, Google AI, and other large language models (LLMs) increasingly stand between a company’s news and the target audience it’s trying to reach. In this new competition for attention and awareness, press releases can be used as a crucial visibility asset; they just need to cater to the signals AI algorithms search for.

This isn’t a traditional SEO fix. Meeting that bar requires rethinking how a release gets drafted in the first place. Written with the right specificity, a press release can surface directly in AI-generated answers and citations, helping audiences searching for relevant information discover your organization they might not have otherwise. Woven into a release from the outset or added in during revision passes, a handful of specific, learnable practices can meaningfully increase the odds that it gets picked up, cited, and surfaced.

Most PR practitioners haven't made that shift yet. A 2025 survey of more than 500 marketing professionals in the US and UK by Acquia and Researchscape found that 70% believe AEO will meaningfully affect their digital strategy within the next one to three years, yet only 20% have actually begun implementing it, even as 62% report already seeing declines in search-driven clicks and traffic.

Media-rich content builds a stronger entity profile

LLMs increasingly weigh media-rich pages more favorably in their synthesis and citation decisions. Images, logos, captions, as well as descriptive file names go a long way to give AI systems additional context that strengthens entity recognition and topical classification.

A release accompanied by visuals reads as more complete, contains more retrievable surfaces, and signals more relevance than one without. This means that every logo, product image, or executive headshot is another labeled data point an AI system can use to confirm who your company is and what it does, on top of what the content in the body field communicates.

This strategy works even better when you rename image files to something that reflects its contents before uploading and you caption images with complete, self-contained descriptions.

For example

Imagine EZ Newswire wants to publish a press release announcing a new partnership with a fictional publisher — let’s call it The Pub — that includes an image depicting CEO Neel Shah leading a live panel discussion about PR performance in front of staff members from both parties.

Instead of uploading the image under the original file name like IMG_4021.jpg, for instance, your visibility goals would be better served renaming the file to include key entity names and the activity in question, separated by hyphens. The more details, the better. In this case, an effective file name could be:

• ceo-neel-shah-eznewswire-the-pub-partnership-pr-performance- live-panel.jpg

Once uploaded, an effective caption for that image would be:

• Neel Shah, CEO of EZ Newswire, leads a PR performance discussion alongside leadership from The Pub, discussing AI visibility tactics to earmark the new partnership in New York, NY on July 3, 2026.

This would work as a caption because it names the person and their title, identifies the other party, states what's actually happening (not just meeting itself), and anchors it with a location and date, so it stands on its own if extracted without the surrounding article.

These investments look small, but they compound across your organization’s broader discovery footprint. And unlike legacy providers such as PR Newswire and GlobeNewswire that treat media attachments as premium add-ons that spike the cost of distribution, EZ Newswire enables users to upload logos and captioned images with every release for no additional cost. At a time when media-rich content functions as an AEO/GEO accelerator, publishing without rationing your visual assets is a real strategic advantage.

Section headers guide how AI reads your release

AI systems scanning long-form content lean on structural cues, section headers chief among them, to build an internal model of a document's topical architecture. A release with descriptive subheadings function as navigational signals, not just organizational conveniences.

For example

Take a press release announcing the launch of EZ Newswire's Reporting Dashboard as an example. If that release is structured with a "Product Overview" section describing what the dashboard does, a "Feature Details" section outlining its specific capabilities, and an "About EZ Newswire" boilerplate section defining the company, each header gives an AI system a direct point of entry into the document.

When an answer engine is asked something like "What tools let PR teams track how their press releases perform in AI search results?" or "How can I measure my brand's visibility across AI platforms?", those descriptive headers let it navigate straight to the relevant section instead of processing the entire release as one undifferentiated block. That produces more accurate attribution and a better chance that the core message, in this case, the dashboard's launch and its capabilities, is the one that actually gets surfaced.

Precise language beats promotional language

Superlatives like "revolutionary," "industry-leading," and "game-changing" may read well in a marketing deck, but they're liabilities in a press release. Answer engines, calibrated to surface factual, reliable outputs, treat hyperbolic language with skepticism, and fluffy modifiers reduce the extractability of the claims sitting next to them.

According to Princeton's Generative Engine Optimization study, which tested nine content tactics across 10,000 queries against a Bing Chat-style system, “replacing vague claims with specific numerical data” was shown to improve a source's visibility in AI-generated answers by roughly 30–40%, more than most other tactics tested, including generic professional tone rewrites.

For example

A company description that reads, "... a groundbreaking, next-generation service redefining the industry" is not just misplaced in a press release, but it’s harder for an AI system to confidently attribute than, "... a service that cut average customer response times from 24 hours to under two.”

The practical fix is to anchor every substantive claim to something specific and verifiable, a quantified outcome, a named capability, a comparative benchmark, so that each sentence can stand on its own as a defensible, quotable statement of fact. This doesn't mean stripping a release of tone or personality; it means every claim that matters should survive being lifted out of context and read on its own.

Self-contained sentences hold up when extracted

AI systems don't always extract full paragraphs. They pull spans of text that answer a specific sub-question, often at the boundary of a single sentence. A key claim spread across three sentences — one for context, one for the idea, and one for the payoff — risks being extracted as an isolated fragment that reads as vague or misleading on its own.

For example

• Take: "The results were positive. Companies using the software reported meaningful gains as high as 42%. Some began seeing them within the first quarter."

Each sentence here leans on the ones around it: the first is simply too general, the second never says what actually improved, and the third doesn’t specify what was seen in Q1. An AI system extracting any single sentence from this passage would retrieve something vague, unverified, or effectively meaningless on its own — or ignore this information altogether.

• Now consider: "Companies using Company X's software reduced invoice processing time by 42% within their first quarter of use."

This version encodes subject, result, magnitude, and timeframe in a single unit, making it reliably extractable regardless of what surrounds it.

Keep in mind that a press release optimized for AI visibility isn't written in shorter sentences; it's written in self-sufficient ones. Before you submit your press release for distribution, it's worth reading the sentences communicating key messages in isolation and asking whether it would still make sense to someone encountering it with no other context.

Read the room

The big takeaway for PR practitioners here is to approach format, imagery, structure, and phrasing as functional decisions rather than aesthetic ones: choices that determine whether a release can be read accurately by a machine, not just appreciated by a person.

A news release can be entirely truthful, well-sourced, and well-written, and still go unseen by the systems that now mediate a growing share of information discovery, simply because it wasn't drafted with AI retrieval signals in mind. That's a difficult adjustment for PR practitioners who have spent years catering to strictly human readers who can infer structure, tone, and intent instinctively. Answer engines extend no such courtesy; they work more in your favor if core ideas are helpfully labeled, language is specified, and claims are made extractable on their own terms.

As more of your audience arrives by way of generative AI like ChatGPT and Gemini rather than a traditional search results page, these decisions stop being incremental improvements and start being the baseline for whether your news gets seen at all. A press release with a captioned image, a clearly labeled section, a quantified claim, and a self-contained sentence is simply more discoverable.

The earlier these practices become habit, the sooner your organization starts populating the answers your target audiences are already asking for.

EZ Newswire is the newswire built for AI performance with a premium distribution network, real-time reporting, and AI citation tracking and insights on a single platform. From startup to scale-up to S&P 500, the most influential agencies and organizations rely on EZ Newswire to shape digital and AI presence. Learn more at eznewswire.com or contact hello@eznewswire.com.

What you can do

Attach media without rationing your budget.

Every logo, product image, and headshot strengthens the entity profile answer engines build around your company (descriptive image file names and properly well-captioned images improve your entity profile even more), but many providers charge extra for the privilege.

Here’s how we help: EZ Newswire grants users the capability to upload logos and images with every release at no additional cost, unlike legacy providers such as PR Newswire and GlobeNewswire who charge a per line-item fee for each.

If you're unsure, send us a draft.

The nuances behind press release eligibility and their AI visibility aren't exactly common knowledge, so it's easy to overlook an opportunity to strengthen your content.

Here’s how we help: If you'd rather check with us first, we're glad to take a look. EZ Newswire's editorial team reviews every release before distribution, flagging promotional language, unclear structure, and unverifiable claims along the way. So, if you're uncertain whether your release is either acceptable or optimally written, share it with our editorial team before submitting, and they’ll help adjust it accordingly.

Frequently asked questions (FAQs)

What's the best way to approach optimizing my press release for AI visibility?

If AEO is new territory for you, write the release the way you normally would first, then go back and edit it against these guidelines: caption images and name files descriptively, add clear section headers, swap superlatives for specific claims, and check that key sentences hold up on their own. It may be easier to apply these as a revision pass than to weave them in while you're still drafting.

Won't removing promotional language make my press release sound flat?

Not if the specifics are compelling. Aside from minimizing the risk of violating publisher compliance guidelines, swapping overly superlative language for quantified outcomes or named capabilities gives AI systems, and human readers, something more trustworthy to source and surface.

How can I tell if a press release is actually being surfaced by AI?

The most reliable way is to track it directly. EZ Newswire's reporting dashboard includes advanced AI analytics and reporting features, so you can see the extent to which your brand is populating generative answers and your press release is being used as a source for relevant prompt queries across AI platforms after it’s live.