18 December 2025 · 9 min read

Generative Engine Optimisation (GEO) Tips for Newsrooms

Practical GEO tips for newsrooms covering entities, summaries, sources, internal linking, schema, community, plain English and credibility.

Before I start, let’s talk about a critical point. The way LLMs generate answers might differ from Google’s crawling and indexing behaviour, but the fundamentals of optimising for both experiences are pretty much the same. The difference between GEO and SEO, if there really is one, is perhaps your priority list of what you want to tackle first and the tools you might use to measure success - which is, itself, currently up for debate due to the probabilistic nature of LLMs.

A publisher website that is not truly audience-focused, does not demonstrate authority on a topic, is hard to crawl and does not shout about the credibility of its authors IS going to have the same visibility issues no matter what platform.

Nonetheless, I thought it would be interesting to tackle the subject of AI optimisation for newsrooms through the GEO lens, if nothing else, to demonstrate the similarities with SEO.

And also let’s not forget that currently, the average referral rate from these LLMs are on average only 1% - and sometimes even lower.

Let’s repeat that: 1%.

But I get it - you’re being asked to deliver a GEO plan for your team, so let’s crack on.

The current landscape of GEO

We all know search is changing fast. Readers still Google, of course — but more and more are getting information through AI-generated answers that summarise the web and cite sources selectively.

For newsrooms, that creates a new challenge (and opportunity): how do we make our reporting the kind that LLMs choose to reference?

That’s where Generative Engine Optimisation (GEO) comes in.

GEO, like SEO, isn’t about “tricking” AI. It’s about making your journalism:

• easier for machines to understand and extract
• easier to quote accurately
• more clearly attributable
• more likely to be selected as a primary source

What GEO Actually Means (in Plain English)

Generative engines don’t rank ten blue links the same way traditional search does. Instead, they try to interpret the question, pull in sources that look reliable and relevant, and produce a single narrative answer.

So GEO is about increasing the odds that your work is ingested, understood, trusted and cited.

Step 1: Follow the 5 Whys

LLMs love content that answers quickly, and journalists have been doing this for yonks with the 5 Whys and inverted pyramid model:

• Who is the story about?
• What happened?
• When did it happen?
• Where did it take place?
• Why did the story occur?
• How did the events in the story come about?

In many respects, good journalism IS good GEO, but just remember that LLMs are always looking for concise passages that answer a question or explain what an entity is.

Step 2: Use Specific Entities (Not Vague References)

Generative systems work best with clear named entities: people, organisations, locations, laws, policies and datasets. Avoid vague references like “the minister”, “the watchdog” or “the local authority”.

Step 3: Add a Summary Box

A summarised list at the top of articles can include key points, what happened, confirmed numbers, official sources and next milestones. It helps humans scan, and it gives AI clean chunks to summarise without mangling nuance.

Step 5: Make Facts Easy to Verify (and Hard to Misquote)

Generative engines tend to prefer content that looks verifiable. Use precise dates, exact figures, direct links to primary documents, and a clear separation between fact and analysis.

Step 6: Cite Primary Sources Like You Mean It

When possible, link to legislation, government announcements, local authority papers, regulators, court judgments, official transcripts, ONS datasets and NHS guidance.

Step 7: Build Topic Authority With Structured Coverage

Newsrooms can create authority by maintaining explainer hubs, using consistent tagging and internal linking, and updating evergreen explainers when stories move.

Step 8: Use Plain English

AI systems often struggle with obscure official language and acronyms, so add short context lines and definitions.

Step 9: Use Schema and Structured Layouts

Technical accessibility is foundational. Use crawlable pages, descriptive titles, canonical URLs, proper indexing controls and Article or NewsArticle structured data.

Step 10: Be Clear About Ownership, Corrections, and Updates

Author pages, corrections policies, updated timestamps, original reporting labels and syndicated copy labels all help LLMs understand trust signals.

Step 11: Community Matters

User generated content and community mentions, especially on platforms like Reddit and YouTube, are major drivers of AI citations. Own your audience, everywhere.

Step 12: Should your newsroom go listicle mad? Er, not really

Writing multiple “best of” articles simply to manipulate AI citations gives SEO a bad name and is not recommended as a primary directive.

Step 13: Don’t Optimise Yourself Into Blandness

Write for readers, but take a structured approach with a clear and explicit intention.

A Simple GEO Checklist for Editors

• Does the first paragraph clearly state who, what, when, where and why?
• Are key entities named precisely?
• Are important figures dated and sourced?
• Is there a clear hierarchy to the page?
• Is there a short summary section?
• Are primary documents linked?
• Is the article part of a wider internal linking ecosystem?

The Big Takeaway: GEO Rewards Clarity and Credibility

Generative engines are trying to answer questions quickly. UK newsrooms win when we make it easy for systems to understand the facts, attribute them correctly and cite the right source.

In other words, GEO is like SEO in this regard - the success of both depend upon excellent digital journalism practice - with a structured approach to writing.