In 1979, the Buggles released a song for the ages called 'Video Killed the Radio Star'. You may not recognise the band, but you will know the song. The irony, of course, is that video did anything but kill the radio star because it is radio that now rides shotgun on commutes, workouts, phones and car displays.

Likewise, while nobody has made a song about it, the predicted death of long-form content, including blogs, has also failed to occur, and if anything, the advent of AI means long-form content is going to come out punching as hard as radio.

David Ogilvy once said, "The more informative your advertising, the more persuasive it will be."

Long-form content (dismissed by some as outdated) has found a new reason to exist. As generative AI changes how audiences find and engage with content, having a regularly updated, trustworthy blog is becoming an important marketing tool.

Marketer and strategist Amanda Li, principal at Funnelmark, says well-structured long-form content now serves dual roles. "It still speaks to humans, but it’s also read, indexed, and summarised by AI tools. That means the format, clarity, and credibility of blog content matters more than ever."

At a time when large language models (LLMs) generate instant answers without always linking back to original sources, smaller brands risk becoming invisible unless their content is unique, well-signposted, and deeply credible.

Blogs offer the canvas to do exactly that.

Blogs improve visibility in both Google and AI search

Traditional SEO still values expertise, authority, and trust. Google’s quality raters use the E-E-A-T framework (Experience, Expertise, Authoritativeness, and Trustworthiness) to assess how well a page might meet a user’s needs. Well-written blogs that show first-hand knowledge, cite credible sources, and explain concepts clearly can meet these standards.

But AI search models like ChatGPT and Perplexity don’t just use links and keywords. They ingest and pattern-match at scale, pulling in information from long-form web content and summarising it into answers. That makes detailed blog posts more likely to be absorbed into the datasets behind LLMs, even when they’re not explicitly cited.

"AI isn’t just searching, it’s learning," says Li. "Publishing deep content gives your brand a seat at the table in how machines understand your subject matter."

Long-form content builds authority, not just traffic

Ogilvy’s defence of long copy still holds weight. He argued that people read what interests them, not what’s short. In the same way, AI rewards comprehensive content because it recognises structure, clarity, and depth.

That matters for businesses in professional services, technology, and education — where trust, credibility, and complexity often go hand in hand. When a potential customer asks a question online, a well-written blog post can be the source both Google and AI models draw from, even if the click-through rate drops.

This changes how blogs should be used. Instead of chasing raw traffic, they now help validate brand authority, support reputation, and provide foundational content that search models rely on.

5 practical tips for blog strategy in the AI era

1. Write for both humans and machines. Clear headlines, strong subheads, logical structure, and plain language help both human readers and AI models understand your content. Avoid jargon unless you define it.

2. Publish unique insights. Generic summaries are easily replaced by AI. Focus your blog content on original thinking, lived experience, client observations, or case-based learning. AI systems value what they can’t easily find elsewhere.

3. Build signals of trust. Use author bios, links to reputable sources, and date stamps. Ensure your website follows best practices like schema markup and structured data. This increases the likelihood that both search engines and AI tools treat your blog as credible.

4. Treat your blog as your source of truth. Social posts are fleeting; blog articles persist. Use your blog to anchor positions, clarify expertise, and demonstrate depth in your niche. This supports consistency across your other marketing channels.

5. Don’t chase the algorithm, earn authority. As AI gets better at mimicking expertise, real expertise becomes a differentiator. Blogs that show nuanced understanding, cite evidence, and speak to lived experience help establish durable authority in your field.

Blogs as a trust tool

For smaller firms and niche experts, a well-managed blog may be one of the few ways to compete for visibility in an AI-optimised internet. As Ogilvy argued, long copy works when it’s written for people who care.

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Common questions

Is blogging still worth it in 2025?

Yes — arguably more than ever. As AI tools like ChatGPT and Perplexity summarise web content into answers, they draw heavily on well-structured, credible long-form content. Businesses that publish detailed, authoritative blog posts are more likely to be absorbed into the datasets these tools use, giving them ongoing visibility even when click-through rates decline.

How does a blog help with AI search results?

AI search models pattern-match at scale across web content. They’re more likely to reference and summarise content that is structured clearly, written with authority, and demonstrates genuine expertise. A well-managed blog with consistent, in-depth posts gives AI tools more material to work with — and more reason to treat your brand as a credible source.

What is E-E-A-T and why does it matter for blogs?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — the framework Google uses to assess content quality. Blog posts that demonstrate first-hand knowledge, cite reputable sources, are attributed to named authors, and are published on a credible domain meet this standard. For small businesses, a well-maintained blog is one of the most practical ways to build E-E-A-T signals.

How often should a business publish blog content?

Consistency matters more than frequency. One high-quality post per month, published reliably, will outperform sporadic bursts of lower-quality content. Each post should be written for a specific question or topic your audience cares about, with enough depth to be genuinely useful. Quality and consistency together build the kind of authority that both readers and AI tools recognise.