Why AEO won't fix your average content

AEO has quickly become a topic that everybody wants an opinion on. And with search behaviours changing, it's understandable as to why that's the case.

We have AI Overviews, ChatGPT search, Copilot, Perplexity, and plenty of other AI-led discovery tools that have fundamentally changed how we all find, compare, and understand information. But there's a mistake I think a lot of businesses are about to make, if they haven't already.

They're going to spend time treating AEO like a new checklist. They'll dive into their content and rewrite headings, add FAQs, bump keywords higher up the page, create a summary box, or even throw copy into ChatGPT and ask it to spit out AI-friendly pages they can use instead.

Some of that might help, but it misses the bigger point: AEO won't fix average content.

SEO to AEO isn't the real shift

SEO is dead, and every business needs a separate AI search strategy. These are real conversations happening right now, and it couldn't be further from the truth. Businesses are shifting from SEO to AEO, while the actual shift is that search is becoming more answer-led.

People aren't just searching for pages or information anymore. We're looking for genuinely useful responses, we want to compare options faster, we're asking super-specific questions, and we expect every AI platform to be able to summarise, interpret, and give us recommendations on exactly what we need.

As someone in the world of content, I think it massively changes the job we're trying to do. For years now, all content and SEO strategies have revolved around visibility, with questions like:

• Can we rank?
• Can we capture demand?
• Can we get traffic?
• Can we build a landing page for this keyword?
• Can we publish enough blogs to show Google we're active and trustworthy?

I'm not saying these things don't matter any more, but they're definitely not enough. In an AI search environment, the bar has been set much higher. Now, your content needs to focus on whether it's useful, clear, and credible enough for AI environments to cite it in the first place.

Average content used to have somewhere to hide

Not any more. Traditional search used to give average content plenty of room to survive for several reasons:

• Pages could rank because of strong domains
• Blogs could get traffic as keywords had little competition
• Services pages worked well as buyers were happy to click through five or six results and piece information together themselves

AI search has killed that dynamic. When you now create content that summarises, compares, and compresses answers that readers are looking for, there's little room for content that says the exact same thing as everyone else.

It might be uncomfortable for a lot of brands because most B2B content has traditionally been quite safe.

• You explain the category
• You repeat the obvious
• You define the problem
• You offer some best practices, but hold back on all the value
• You end with a CTA

And repeat. Technically, there's nothing wrong with it. But today, nothing is that useful either, which is the real issue.

If 10 brands have written roughly 90% of the same article, why should an AI system reference yours over theirs, and why should a buyer trust it? 

AEO is an expertise problem

A lot of the AEO conversations I've seen focus too much on just formatting. It isn't surprising, as it feels more controllable and gives teams something practical to do. The deeper issue with AEO today is about expertise.

Brands that will succeed in answer-led search aren't focusing on content volume or trying to publish the most. Instead, they're focusing on making their expertise easier for people to understand, verify, and reuse.

My advice would be that your content should clearly show and explain what you know, not just what you can summarise. There's a key difference, as one just explains the topic and one shows that you've seen the problem in real life, which is what buyers want.

This is where strong AEO content actually starts. Not with any hacks or loopholes, but by having a sharper point of view.

This is where AEO tools also start to matter, especially those that make visibility problems easier to see, rather than a 'hack' to fix weak content. For example, HubSpot's AEO tool is built around the questions most of us have been asking for a while:

• How often are we appearing in AI answers?
• Which prompts are we visible for?
• How do we compare against our competitors?
• Which domains or pages are being cited?
• What should we create, fix, or update next?

All of this is useful if the strategy underneath is strong. Yes, a dashboard will tell you where you're showing up and help you spot gaps or give an action plan, but it can't create a point of view for you.

It also can't turn generic content into useful expertise, and it can't make your brand worth recommending if your content doesn't clearly show what you know, who you help, and why your perspective is valuable.

So, use tools to understand your AI visibility, and use strategy, expertise, and structure to improve it.

You can't fake helpful content

This is the content trend that probably matters the most now. Helpful content has been a phrase I've heard for as long as I can remember, but it's also easy to ignore. In practice, most teams still don't focus on the usefulness of their content.

They'll create content that's technically very accurate but maybe not that valuable. They'll answer the obvious questions but will ignore the next two. They'll cover the topic at a surface level, but they'll avoid the messy part.

Most importantly, they'll tell readers what something is, but not what they should do about it. AI search exposes this and will make weaknesses a lot more visible. 

• Generic content = easier to replace
• Vague content = harder to extract
• Badly structured content = tougher to interpret
• Content with a lack of evidence = difficult to trust
• Content with no clear point of view = harder to remember

This is a perfect example of why AEO shouldn't sit in a silo with SEO. It absolutely has to sit with content strategy, subject matter expertise, website structure, conversion strategy, and technical SEO. 

What brands are getting wrong about AEO

Mistake 1: Treating AEO as a separate channel

It isn't. Nobody will experience your brand in neat channels. They could find you through an AI answer to start with, then check out a service page,  read a case study, check your LinkedIn posts, and then speak to your sales team.

AEO won't save you if those touchpoints don't connect. 

Mistake 2: Assuming more content means more visibility

It might, but it can also create more confusion, too. 

If your website has five pages, all competing with each other to answer the same question, you're creating overlap rather than building authority.

Mistake 3: Forgetting humans and over-optimising for machines

Here's where AEO advice can start to go wrong. Yes, your content needs to have a clear structure. Yes, your pages need to answer questions directly. Yes, technical accessibility matters. 

But at the end of the day, your buyers are still trying to make a decision. If your content feels thin, robotic, or written for the sole purpose of being extracted by AI, it loses the human trust that made it useful in the first place.

Mistake 4: Confusing credibility with visibility

Everybody loves being mentioned, but the real value is in being trusted. 

If AI search just becomes another reporting metric for your brand, then it's easy to get tempted to chase citations without asking if they're influencing the right buyers in the right way.

A better way to think about AEO

What does your brand deserve to be known for? Think about your content bank and ask yourself whether:

• You have a clear point of view
• If you're saying anything that competitors aren't
• If buyers quickly understand your expertise
• Your service pages are actually useful
• Your blogs answer real questions
• Your case studies directly connect to the problems buyers are researching
• Your subject matter experts show up in the content
• If search engines and AI systems understand what each page is there to do

Here's where AEO becomes more about clarity. Stop focusing on trying to appear in an answer and start focusing on becoming a reliable source of understanding for the problems your buyers actually care about.

What strong AEO-ready content should look like

A blog with an FAQ section stuck at the bottom isn't the way to go. 

1. Clearly answer a specific question

Not 10 questions at once. Just one main question with enough context to make the answer useful.

2. Have a point of view

Don't explain what everybody already knows. Help the reader think differently with a unique perspective.

3. Use experience

It might come from client work, internal expertise, sales conversations, research, or patterns your team regularly sees.

4. Make it easy to navigate

Headings should be clear, the introduction should get to the point, and the structure should help readers move from problem to insight to action.

5. Connect to the wider journey

Don't let a strong blong sit alone. Connect it to service pages, related thought leadership, author expertise, case studies, or key conversion points.

AEO will reward better content operations

Having good writers and SEO teams is a good start when it comes to adapting to AEO, but the ones that succeed most are those with better content operations. They'll know how to:

• Extract expertise from internal teams
• Turn client-facing knowledge into useful content
• Which topics to own
• When to update existing content rather than creating more
• Connect blogs, case studies, service pages, and sales enablement
• Measure visibility without losing sight of commercial impact

In an answer-led environment, you're really going to struggle if your content is unclear, outdated, or disconnected. Keep your content structured around real expertise, buyer questions, and commercial relevance, then AEO won't be intimidating and will become an extension of good content strategy.

Your focus should be on trust

Visibility and trust are both key challenges in AEO. My advice is not to fall into the trap of chasing every new tactic, as you'll constantly be on a hamster wheel, not knowing what you're chasing.

Focus on making your expertise clearer, making your content sharper, and making your point of view easier to understand. That isn't me saying every page needs to be a thought leadership piece, needs a wild opinion, and it definitely doesn't mean writing for AI at the expense of humans.

It just means your content needs to work harder. Focus on answering better questions, showing more experience, reducing uncertainty, helping your buyers move forward, and structuring content in a way people and AI systems can understand.

Without this, content can remain average, and AEO won't fix it, but it should finally give brands the push they need to stop publishing it.