Digital PR Hasn’t Changed – Search AI Has Just Made the Basics More Important
Last week, I read an article by Giulia Panozzo about rethinking target audiences in an era of signal loss. I also read Harry Clarkson-Bennett’s article about creating non-property content. Then I read Matt G. Southern’s article about Google’s new AI search guide officially calling AEO and GEO “SEO still.”
When I read them together, I kept hearing the same message: the basics work.
And that brought me back to something I wrote on August 11, 2022 – two and a half months before OpenAI released ChatGPT – “7 Steps to Building a High-Impact Digital PR Campaign,”
Which I borrowed from Aristotle
In my August 2022 article, I disclosed that the frame was not mine. Credit goes to Aristotle, who outlined his “elements of nature” in the Nicomachean Ethics in the 4th century BCE. Who, what, when, where, why, in what way, and in what ways. What I did was apply it to SEO PR in the 21st century. The question to ask now, 42 months and one AI revolution later, is whether the seven steps still hold.
They do it. But what each step requires has changed.
Who Is Your Target Audience?
In August 2022, this step was about demographics and keywords. But signal loss is not a new problem – it’s an ongoing thing. In 2013, Google’s move into encrypted search made “keyword not assigned” a major problem, removing the keyword-level analytics data that practitioners relied on to understand who was actually finding their content and why. We adapted. We found other signs.
Today, the challenge has another layer. The data holes in Google Analytics 4 are real – I’ve written about them at length. The REM Framework Panozzo explains talks about what to do when the data you rely on to define your audience is unreliable or incomplete. His answer, and mine, is the same: Get closer to real people than proxy data. Signal loss is an interference in the definition of a lazy audience. It is an opportunity for adequately trained personnel to collect first-party signals through direct observation.
What Is Their Purpose in Searching for News?
Google’s new AI search guide, published this week, makes something clear that has been unclear for years. AEO and GEO are not separate disciplines from SEO. They are SEO, used in the generative aspects of AI. The basic question has always been the same: what exactly is a person trying to understand or achieve when they search?
What has changed is the response they expect now. In AI Overviews and AI mode, feedback comes first. The quote comes second, if at all. In digital PR, this means the question is no longer just “can we scale this?” but “can we get a citation from the answer Google generates?”
The question of intent remains. The response format has changed for it.
When Do They Do News Searches?
This step is stable, although the tools for measuring temporal search patterns have improved significantly. Clarkson-Bennett’s piece makes a good practical point: Google Trends data for terms like “family vacations” show a rise in prices every January with roughly the same frequency over the past five years. Seasonal patterns in news search intent are longer lasting than most practitioners think, and AI Overview has not disrupted the underlying rhythm, only the interface through which people find answers.
Where Do They Do News Searches?
This is where the 42 months brought about the most visible change. In August 2022, “there” meant Google Search, Google News, YouTube, and social media. Today, the answer includes ChatGPT, Perplexity, Claude, Gemini, and AI Mode within Google itself.
The same web traffic data for April 2026 tells the story clearly. ChatGPT accounts for 5.5 billion monthly visits worldwide, but Google still leads with 84.8 billion monthly visits. Therefore, the “where” of information seeking is truly divided in ways that are important to distribution strategies.
A story that only gains visibility on a regular Google search now reaches a fraction of the total audience seeking information than it will in 2022. The PR question of “where will this go?” requires a comprehensive response.
Why Is Your News Important To Your Target Audience?
This is the step that Amit Singhal’s 23 Panda questions were really talking about, back in 2011. That question appeared in Google’s quality guidelines 15 years ago. It appears, in an updated form, in Google’s new AI search guide this week.
Clarkson-Bennett’s piece makes the same point about the concept of gaining information – a patent that Google has cited many times, worldwide, and recent updates, which limit the effort and reward documents that add something that is not already in the index. The content problem is not new. The Panda update was Google’s first systematic attempt to solve it. The AI era is the latest, and most sophisticated, iteration of the same enforcement mechanism.
Why do your stories matter? Because it is original, specific, and cannot be repeated it is a pattern recognition of everything that already exists.
How Can You Change Hearts, Minds and Actions?
The Panda question that applies here: “Does this article have the kind of quality you’d expect to see referenced in a magazine, encyclopedia, or book?” That rate has not decreased in the AI era. If anything, it has become a quote limit instead of just setting a standard.
AI-generated summaries cite sources with authority, clarity, and real expertise. The most likely PR content to earn that quote is the content that would have surpassed Singhal’s 23 questions in 2011 and is still successful today. Real research. Primary sources. Certain claims are based on data that cannot be verified.
The methods of changing minds have not fundamentally changed. What has changed is that the audience can now receive your argument through an AI mediator rather than directly. The level of quality required to survive that lemon is high, not low.
How Can You Measure Your Results?
This is where the 42 months did the real new work. In August 2022, measurement meant organic traffic, impressions, and backlinks. Today, it requires tracking citation frequency in AI-generated responses, monitoring product mentions in AI Overview, and segmenting AI-assisted referral traffic from traditional organic. GA4 added that capability last week, with a new automated channel group for popular chatbot forwarders, including ChatGPT and Gemini.
The measurement question Aristotle had to answer was: How do you know you’re winning when the audience isn’t clicking? Voice citation assignment in AI responses is becoming a new position. It is measurable. The tools are original and imperfect. But the goal is the same as it was when SEO measurement first started: Identify the signal that predicts whether the right people are finding your content, and track it consistently.
What Aristotle Got Right
Google’s new documentation says that AEO and GEO are still SEO. What it means is that the questions beneath the terms have always been the same: who are you trying to reach, what do they need to understand, and how do you demonstrate to your content delivery system that you’ve genuinely answered that need?
Aristotle’s seven elements of status survived 23 centuries before I applied them to digital PR in 2022. They will survive AI mode, AI Overview, and any subsequent Google deployments.
Important things work.
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Featured image: Roman Samborskii/Shutterstock
