AI search has been around for a while now. And while everyone on the internet has been hyperventilating over what you can or cannot do to improve your visibility, I think it boils down to getting a few fundamentals right. 

So based on all the strategies we’ve set up for new websites and old (think, sites with thousands of content pieces), here are some of the simplest things you can do. 

And just because I’m calling them simple, don’t think they’re not effective and go looking for hacks. These might take a little more effort than you think! 

How to build your AI search visibility (the simplest of steps to follow) 

If you’ve been hopping from one thing to another to increase your AI search visibility, take a breather, pick up a cup of coffee and get ready to re-calibrate. Here’s what you need to do: 

1. Start with a ruthless content audit 

Before you start creating anything new, I recommend you audit everything that already exists. That’s because most sites don’t have a traffic problem, they have a signal dilution problem because of: 

• Thin pages 
• Overlapping topics 
• Outdated insights 
• Content written for keywords, not clarity 

Now while these may have worked for traditional search, AI systems or LLMs as you know them, are far less forgiving. And that’s why you need to: 

• Take stock of every content asset you have – blogs, ebooks, web pages, help docs, landing pages, etc 
• Analyse their performance to identify low-value pages 
• Consolidate overlapping content 
• Rewrite pages that lack depth or clarity 
• Delete what’s fluff and not relevant to your business (this one’s scary yet one of the most important things to do) 

The goal of this exercise is simple: you want to create fewer, stronger signals. 

2. Define clear pillars and clusters 

AI systems understand topics, not isolated pages. So without structure, your content looks fragmented and difficult to withdraw information from. 

But with a pillar-cluster model, it becomes a knowledge system that can be sifted through with ease by everyone – search and AI crawlers, and humans. 

Here’s what I recommend doing: 

• Identify 3-5 core topics you want to own 
• Build a pillar page for each 
• Create clusters that expand depth and intent 

This helps search engines rank you and AI systems categorise you as a trusted source for a topic that can be cited. 

3. Create content for value, not volume 

AI has made content creation cheap, easy and really fast. That’s exactly why the value you offer has become a key differentiator. 

If your content sounds generic, repeats what’s already out there, adds no new thinking to what’s already there on the internet, you won’t get cited. 

Here’s what I recommend doing to increase your chances: 

• Build a content tilt or clear POV on the subject of relevance 
• Include trade-offs, edge cases, and insights 
• Write like an operator, not a content writer 
• Use storytelling only when relevant (else it’s just a drag) 

4. Distribute content (don’t just publish it) 

Publishing content is not distribution. If no one sees your content outside your site, AI has fewer signals to discover or trust it. 

It’s much similar to how if you’re not on social media today, your brand almost doesn’t exist for your target audience. 

Here’s what I’d do: 

• Share content on Reddit, Quora, Medium, and LinkedIn Pulse (to start with) 
• Contextualize it for each platform
• Engage, not spam (unless you want to get banned and restart every few days) 

Strategic content distribution creates mentions, references and secondary signals that AI picks up. 

5. Get active on one social channel (consistency > presence everywhere) 

You don’t need to be everywhere. But you do need to be visible somewhere on social media consistently; especially when the content now gets picked up by search engines. 

Platforms like LinkedIn show up in search results, are increasingly referenced in AI outputs and can help build authority beyond your site. Similarly, the content you post on Instagram often gets picked up on image search today owing to the keywords used in the captions. 

Here’s what I’d do if I was you (actually, I do): 

• Pick one channel (LinkedIn is ideal for B2B; Instagram for D2C) 
• Post consistently (insights, breakdowns, POVs)
• Build a recognizable voice 

Don’t think of social media as an optional, vanity tactic. It’s a platform that is helping you build search footprints that get you mentioned by AI platforms. 

6. Build high-quality backlinks (fewer and better) 

Backlinks still matter, for both traditional and AI searches. But AI has completely changed how they’re interpreted. 

Backlinks are no longer about volume. They’re about relevance, credibility and context; just as how they should have always been. 

Here’s what we’re recommending to clients at Contensify: 

• Focus on industry-relevant mentions
• Contribute to high-trust publications
• Earn links through insights, not outreach spam

Don’t always think, “this backlink is costly”. Look into how relevant it is to your business. 

7. Structure content for AI extraction 

AI doesn’t read like humans. Or does it? 

Remember how you got additional points for formatting your essays well in school? Well, it’s much the same. 

If your content is hard to parse, it won’t get used. To help AI extract answers from your content, here’s what I’d do: 

• Use clear headings (question-based where possible)
• Add summaries and direct answers
• Break content into modular sections

Remember, if a paragraph can be lifted and used independently, you’re doing it right.

8. Optimize for semantic coverage, not keywords 

AI understands concepts, relationships, and context. So much similar to how content marketing should always have been, your job is to ensure topic coverage like you’re an absolute expert at it. 

Instead of just repeating keywords, your job is to ensure you cover a topic fully, address all related questions and connect ideas logically (through internal linking). 

Here’s what I recommend you do: 

• Map subtopics before writing
• Include adjacent queries and use cases
• Avoid keyword stuffing entirely

And while you’re at it, remember you’re not writing for keywords. You’re building topic completeness to set yourself up as an authority in it. 

9. Build strong author and brand signals (E-E-A-T)

Owing to the amount of AI slop out there, the systems have gone back to the basics and started to care about things like: 

• Who is saying something 
• Why they’re credible 
• Whether others reference them 

Now if you want to build these EEAT signals, I recommend you: 

• Add strong author bios
• Show experience and proof
• Maintain consistency in voice and expertise

I know most companies are skeptical about putting names to their content. But anonymous content is far less likely to be trusted or cited.

10. Refresh content consistently (combat content decay actively) 

Me and the team have been proactive advocates of keeping your content up-to-date. I mean, if you have put in the resources, why not make an effort to make its impact last longer? 

And now that AI prioritizes fresh, accurate, and evolving content, you have got more than one reason to. 

Even the best of your content pieces can see decay when the keyword intent shifts, examples become outdated or better content replaces it. 

That’s why I recommend you: 

• Set monthly refresh cycles for core pages 

• Update insights, not just stats or the year mentioned 
• Add new sections as the topic evolves

If you’re someone who has a lot of content, I know how tough this can be. You can always start with your revenue pillars (content associated with what drives the majority of your business revenue). 

Or you can use a tool like Search Signal by Contensify to identify content decay, the opportunities associated with the pieces and shortlist the ones you need to prioritize in less than half the time. 

11. Track AI visibility (not just rankings) 

Traditional SEO metrics are no longer enough. Your content might rank well and still not appear in AI answers. 

This is why I use Semrush to: 

• Track whether AI tools reference your content
• Monitor brand mentions in AI outputs
• Identify which topics you’re “invisible” for 
• Check the prompts that result in the mentions 
• The pages that are getting cited 

It’s important to take a look at the traditional SEO metrics and AI SEO metrics in a comprehensive manner. 

Conclusion 

Traditional SEO was all about getting your content or pages to rank. But AI search is about being trusted as a source. 

And the thing no one talks about enough is that both are connected. 

Don’t know where to begin? I’d love to help you build out an AI search visibility strategy. 

Reach out to me and let’s talk!