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Journalism that AI will trust and cite

Photo of two women working on a computer by @matylda released via Creative Commons BY SA 2.0
Image by @matylda released via Creative Commons BY SA 2.0

Does journalism need to change for search engines and AI? No. The basics of great journalism that have lasted generations are already the ideal foundation.

Originality, accuracy, clarity, human interest, timeliness, and well-sourced content are exactly what both search engines and AI tools are looking for.

The technical terms many media organisations are concerned about are SEO (search engine optimisation) and AEO (answer engine optimisation). This is about making sure that the content produced gets seen when people search on a topic or ask AI a question.

Essentially, it’s all down to how stories are written. The good news is that journalists don’t need to compromise their standards. They just need to apply them more deliberately.

Before SEO and AEO

In 2002, when I was the managing editor of CNN International EMEA, I introduced a multi-platform authoring system (MPA). This meant that a story written once could be distributed to 10 revenue-generating platforms simultaneously — from TV text, airport departure lounge tickers, to mobile, online, and the small screens on the back of aircraft seats.

The discipline that system imposed on our journalists was not about dumbing down the writing. It was about making every word earn its place.

A headline scrolling along an airport departure lounge ticker had to be clear, specific, and informative. The inverted pyramid — that core structure taught to every trainee journalist — puts the who, what, when, where, why and how front and centre. This was the perfect solution to a technical issue. I remember thinking at the time that the solution to a modern technical challenge lay in the basic rules of journalism that I first encountered as a newspaper reporter. The same is true today with SEO and AEO.

A well-written news story has always started with the most important information at the top. That is precisely what AI is scanning for when it decides whether the content is worth including.

So the journalist who writes a tight, informative intro that answers the reader’s immediate question is already doing AEO without knowing it.

Write for humans first, algorithms second

There is a temptation, when the terms SEO and AEO enter the conversation, to think that you have to start writing for the machine. Do not do that. Keyword-stuffed copy reads badly, damages trust, and ultimately performs poorly because the algorithms have become sophisticated enough to reward quality and penalise padding.

When we rolled out our MPA system at CNN in 2002, we adjusted our writing to the requirements of the technology that disseminated our content. In doing so, we were not abandoning journalism — we were applying its core disciplines to a new set of constraints. And the inverted pyramid style of writing was perfectly suited to those technological demands.

The same is true now. The BBC, Reuters, the Associated Press — none of them built their authority by gaming search engines. They built it through decades of accurate, well-sourced, clearly written journalism. Search engines and AI tools have learned to recognise that kind of authority. Our job as journalists is to produce it consistently.

What this means in practice is that journalists should write the story as they always have, then ask whether someone who has never heard of this issue would understand the headline and intro. If the answer is no, rewrite it. That test serves both the reader and the algorithm.

Headlines and crossheads that do real work

A headline needs to earn its place twice over — once for the reader and once for the search engine. It should be specific, informative, and honest. Vague or clever headlines — that rely on the reader already knowing the context — perform poorly in search because the algorithm cannot extract meaning from ambiguity.

We learnt this at CNN with the ticker rule. If the headline didn’t make sense standing alone, it didn’t run. That discipline, applied across a team of journalists working to deadlines, produced sharper, cleaner copy across every platform.

There were character limitations for every element in our CNN MPA system. The headline had to be a maximum of 35 characters, the intro/summary was 120, the first paragraph was 350, and the next paragraph was 300. This was because the most demanding product we were producing was CNN TV text which had strict limitations. But this didn’t damage the journalism we produced, it sharpened it.

The same principle applies to SEO and AEO. A headline that tells the story clearly — that does not rely on a subheading to rescue it — will outperform a clever one every time.

Crossheads within the body of a piece serve a similar function. They break up the text for the reader, but they also signal structure to search engines and AI tools that are trying to understand what the piece is about and whether it answers a user’s question. Crossheads must be descriptive. They should tell a reader who is skimming the piece exactly what the next section covers.

Answer the question directly

AEO in particular rewards content that answers questions cleanly. AI tools tasked with finding an answer to a query will pull from content that states the answer clearly, early, and without excessive qualification.

This does not mean stripping out nuance or complexity. It means leading with the answer and following up with the context and the background.

At CNN we applied the same logic to the intro/summary rule — it had to add value to the headline and not repeat it. Each layer of the story had to do distinct work. If the piece is about a change in government policy, say what the change is in the first sentence. If it is about the outcome of a court case, give the verdict before the history of the case. Then build out with the depth and context that distinguishes solid journalism from a press release, a PR stunt, or clickbait. Again, it’s all about the inverted pyramid.

Structure matters

When we broke the body text of a news story into character-limited paragraphs so that it would work on TV text, mobile phones, and online, we were making it more durable — capable of surviving across multiple environments without losing its meaning. That lesson holds now.

Long blocks of unbroken text are hard for readers and hard for algorithms. Breaking copy into clearly signposted sections makes it easier to read, easier to navigate, and easier for an AI tool to extract meaning from.

Use short paragraphs. Use crossheads that reflect the content that follows. If a piece lends itself to a list — five things the budget means for small businesses, four questions raised by an inquiry — then use a list. Lists are highly legible to both readers and AI engines.

But do not manufacture structure where none exists. A list for the sake of it is as damaging as a rambling block of text. The structure should reflect the logic of the story.

Source your work

Both SEO and AEO reward authority. One of the clearest signals of authority is transparent sourcing. Name your sources where you can. Link to primary documents — court filings, government reports, official statements. Reference previous reporting where it is relevant.

This is not new advice. It’s what good journalism has always required. The difference is that now, when an AI tool is deciding whether a piece is a reliable source worth citing, the presence of named, verifiable sources is a measurable factor in that decision.

The editorial ethics that underpin all high-quality public-service journalism are not a constraint on performance in search. They are journalism’s greatest competitive advantage.

Showcase expertise

Journalists who have covered a beat for years bring context and understanding. When we serviced 10 revenue-generating platforms at CNN with the effort of one journalist, the value proposition was efficiency in the use of resources, and revenue generation in the increased number of adverts around that content, as well as the income from multiple services. But the underlying content still had to be worth distributing. Reach without quality is noise.

AI tools are increasingly designed to identify and surface expert content. A piece that explains why a story matters, what it changes, and what to watch for next will outperform a piece that merely reports the bare facts. More importantly, it will better serve the reader. These two things, in the end, are the same objective.

The fundamentals have not changed

SEO and AEO are not threats to quality journalism. When we moved from broadcasting headlines designed to keep a viewer glued to their screens to ticker headlines designed to make sense without any surrounding context, the journalism did not suffer. It sharpened. The same transition is happening now.

Handled correctly, SEO and AEO are distribution tools that reward exactly the qualities journalism schools and newsrooms have always tried to instil: clarity, accuracy, structure, authority, and relevance.

Journalists who write with precision, source their work rigorously, structure their copy logically, and keep the reader’s needs at the centre of every editorial decision are already optimised. They just need to be conscious of the fact that their audience now includes both the human reader and the AI tool deciding whether their work is worth surfacing.

Write for the reader — the algorithm will follow

I tested this thought by asking three AI engines — Claude, Perplexity, and Gemini — the following question:

Do you think the fundamentals of robust, accurate, impartial public-service journalism — that are based on the inverted pyramid style and best-practice rules for writing that have lasted for generations — work with SEO and AEO?

Claude AI answered:

The inverted pyramid was not invented for algorithms, but it turns out to be almost perfectly structured for them. Lead with the most important information, answer the key question immediately, then build out with context and detail. That is exactly what a search engine rewards and exactly what an AI answer engine looks for when deciding which source to cite.

An AI tool which is scanning thousands of sources for the most reliable answer to a user’s question is doing what a news editor has always done: looking for the most credible, clearly expressed, well-sourced account available.

Where journalists may need to adjust is not in the fundamentals but in the awareness. The specific words in that first sentence now determine whether an AI tool surfaces their report or someone else’s. That is a conscious editorial decision, not a compromise.

The journalists most likely to perform well in an AI-mediated information environment are the ones who were already doing it properly. The fundamentals do not need to change. The intention behind them just needs to be more deliberate.

Perplexity AI answered:

Yes — the basic principles of public-service journalism still work very well with SEO and AEO. The inverted pyramid, clear attribution, accurate headlines, and direct, plain-language openings already do much of what search systems and answer systems want: they make the core facts easy to find, easy to understand, and easy to trust.

Journalists do not need to abandon their editorial standards or impartial focus in order to remain discoverable online.

What does need to evolve is presentation. Journalists may need to be more deliberate about structure, using concise subheadings, cleaner summaries, and well-phrased questions and answers where appropriate. But that is a matter of packaging, not a change in journalistic purpose.

The danger would be letting optimisation shape the story itself. Public-service journalism should still prioritise accuracy, context, and public value. In practice, those qualities often align with good SEO and AEO anyway, because they improve readability and usefulness.

So the short answer is: yes, the model still works, provided journalists treat search and answer visibility as a distribution challenge, not a reason to compromise the craft.

Gemini AI answered:

Yes, the fundamentals of legacy public-service journalism work perfectly with SEO and AEO. Journalists do not need to change their focus. The mechanics of traditional, rigorous news writing are actually the exact blueprint required to win in the era of AI and search.

First, the inverted pyramid is the ultimate asset for AEO. By front-loading the critical facts into the lead paragraph, journalists provide the precise high-density information that AI models and search bots need to pull direct answers and summaries.

Second, traditional journalism naturally fulfils Google’s E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) criteria. As AI engines battle hallucinations, their retrieval systems favour entities with strict editorial standards.

A verified wire report becomes a premium ‘knowledge fragment’ that search engines actively prioritise to ground their results in reality. Furthermore, impartial, objective language maps cleanly to algorithmic data structures.

The only caveat is packaging: journalists must use structured headers and schema markup so algorithms can easily index their work. Ultimately, news agencies do not need to write for the algorithm; the algorithms have finally evolved to search for structured, verified truth.

The fundamentals of journalism excellence that have existed for generations, and which we promote on Media Helping Media via 450+ free resources, are the ideal solution for the SEO and AEO revolution. We just need to stick to what we do best.


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David Brewer
David Brewerhttps://mediahelpingmedia.org/
David Brewer is the founder and editor of Media Helping Media. He has worked as a journalist and manager in print, broadcast, and online. David was the UK editor for the launch of BBC News Online, becoming the managing editor soon after. Later he was appointed managing editor of CNN.com International EMEA where he set out the editorial proposition, hired staff, and oversaw the launch. David was the managing editor for the launch of CNN Arabic in Dubai, and a launch consultant for Al Jazeera English in Qatar. David has spent many years delivering journalism training worldwide, mainly in transition and post-conflict countries. He is currently mentoring journalists and editors of refugee and exiled media online as well as helping train journalists in countries where the media is still developing.