What is retrofitted SEO – how to do it and drive AI and search visibility

In an ideal situation, SEO content is planned in advance, a content roadmap is built, and keyword suggestions are made before content is created.

But it does happen that a business does not have a content strategies or they need to publish in a rush. So, they upload content, cross their fingers and hope for the best.

What’s the result? Unless you push people to your content with ads, your blog or article becomes the needle in the haystack.

So, can you do SEO to a piece that’s already written and published. Yes, you can. I’ll show you how and the kind of results you can drive from this effort?

What is retrofitted SEO?

“Retrofitted SEO” isn’t an industry term – it’s something I coined to name the content optimization process I developed while leading SEO and content strategies at Thoughtworks.

Let’s define it.

Retrofitted SEO is the process of optimizing content pieces after they’ve been drafted and even published. The goal is to improve an existing piece for AI and search visibility by identifying the content’s theme, user intent, and the marketing funnel stage it belongs to. Then keyword research is carried out and relevant keywords and structures are implemented to the content.

With these retrofitted additions, the content piece might start ranking for its core keyword and appear on LLMs.

I’ve seen landing pages, YouTube videos, and blog articles move up the search page rankings. I’ve also driven content to appear as AI overviews doing just this

Why retrofitted SEO?

Many businesses don’t do their research before publishing content – at least not in terms of AI or search engine optimization.

They take blog pieces or landing pages live without a primary keyword or any kind of semantic entities in their work. Why? Mostly because of lack of time and because of ignorance.

Here are specific times a content isn’t optimized:

• It can happen when there’s an urgent need to address a topic such as an industry news or controversy.
• Or when a company simply needs to fill it’s website with information.
• If you priortize thought leadership that may not need optimization
• If you write about niche content that no one else has tackled
• If you want to add optimized content to video descriptions and other formats that typically don’t require keywords and semantic terms.

In such cases, it’s smart to create a relevant blog post or article and distribute it fast – optimization can come later.

But is this the best way to build your audience or become discoverable on LLMs, Gen AI, or search? Not really.

But if you have to add optimization later – it’s doable. I’m going to share the precise steps I use along with how to leverage AI in the process to make retrofitted SEO scalable.

Steps to retrofitting Search Engine Optimization (or AIO/AEO/GEO) practices to completed content

Here’s a brief breakdown of retrofitted SEO:

1. Identify the core theme of the content
2. Understand the user intent that the content best meets
3. Understand the stage of the funnel the piece belongs to
4. Get information like the target persona, pain points, industry information and so on (if you don’t have them already)
5. Do a quick search on Google and Gen AI tools like ChatGPT to understand what the real keyword looks like
6. Do your research on SEO tools like Semrush, Ahrefs, and Google Keyword Planner to validate your keyword choice
7. Identify semantically related keywords and content structures based on manual or tool-driven research
8. Make the necessary changes to your content and push it to live

We’ll also look at what to do if there’s no keyword information such as volume of traffic, keyword difficulty, and so on.

1. Identify the core theme of a content piece

Let’s say I have a blog post titled “Beyond Algorithms: The Human Element in AI’s Future.” The first step is to identify the core theme of this content.

In this case, the theme revolves around the intersection of artificial intelligence (AI) and the human role in shaping its future. But we need to dig deeper—what’s the specific angle? Is it about ethical considerations, human-AI collaboration, or the societal impact of AI?

For this example, let’s say the core theme is “the importance of human oversight and ethics in AI development.“

2. Understand the user intent the content best meets

User intent is the why behind a search query. Are people looking for information, making comparisons, or ready to take action? For our AI blog post, the intent is likely informational. Our readers want to explore the human role in AI and understand its implications.

To confirm this, I’d do a quick Google search for terms like “human role in AI” or “AI ethics and human oversight.” If the top-ranking results are thought leadership articles, research papers, or opinion pieces, it’s a clear sign that the intent is informational.

If I see job postings or product pages, the intent might lean more toward transactional.

3. Understand the stage of the funnel the piece belongs to`

Content can serve different stages of the marketing funnel:

• Awareness
• Consideration
• Or decision-making.

Our AI blog post is firmly in the awareness stage; it’s designed to spark thought and educate, not to sell a product or service.

Why does this matter? Because awareness-stage content should focus on broad, high-volume keywords and provide value without being overly promotional. For our AI example, keywords like “human role in AI” or “AI ethics and future trends” would be a good fit.

4. Gather target persona and industry insights

If you don’t already have a clear picture of your target audience, now’s the time to build one. For our AI blog post, the target persona might be:

• Name: Jordan, a 40-year-old tech policy advisor
• Profession: Works in government or a think tank focused on technology ethics
• Pain points: Struggles to find balanced perspectives on AI that consider both technical and human elements
• Goals: Understand the ethical implications of AI to inform policy recommendations

With this persona in mind, you can tailor the content to address their specific needs and questions.

5. Do a quick search on Google and Gen AI tools

Next, I’d use Google and tools like ChatGPT to get a sense of what people are searching for. For example, I might ask ChatGPT, “What are the key ethical challenges in AI development?” or “What keywords are related to human oversight in AI?”

This step helps you uncover potential keywords and topics that might not be immediately obvious. For instance, I might discover that “AI bias,” “human-AI collaboration,” and “AI governance frameworks” are trending topics that align with my blog post.

6. Validate your keyword choice with SEO tools

Once I have a list of potential keywords, I’d use tools like Semrush, Ahrefs, or Google Keyword Planner to validate them.

For example, I might find that “AI ethics” has a high search volume but also high competition, while “human oversight in AI” has moderate volume and lower competition, making it a strong primary keyword.

I’d also look for semantically related keywords like “AI accountability” or “ethical AI development.”

7. Identify semantically related keywords and content structures

Semantic SEO is all about context. Search engines don’t just look for exact-match keywords—they also consider related terms and concepts. For our AI blog post, I might include terms like “AI transparency,” “algorithmic accountability,” and “human-centered AI design.”

I’d also structure the content to make it more search-friendly. This might include:

• Adding subheadings like “Why Human Oversight is Critical in AI” or “The Role of Ethics in AI Development”
• Including bullet points or numbered lists for easy readability
• Adding a FAQ section to address common questions like “What is human-centered AI?” or “How can we reduce bias in AI systems?”

8. Make the necessary changes and push it live

Now it’s time to implement the changes. I’d update the blog post with the new keywords, semantic terms, and optimized structure. I’d also ensure the meta title, meta description, and alt text for images are optimized for the primary keyword.

For example:

• Meta Title: “The Human Role in AI: Ethics and Oversight”
• Meta Description: “Explore the critical role of human oversight in AI development. Learn about ethical challenges, AI governance, and the future of human-AI collaboration.”

Once the updates are made, I’d republish the content and monitor its performance using tools like Google Analytics and Search Console.

What if there’s no keyword data?

Sometimes, you’ll find that your target keyword has little to no search volume or competition data. This often happens with niche topics or emerging trends. In these cases, focus on creating high-quality, authoritative content that answers your audience’s questions. Over time, as the topic gains traction, your content will be well-positioned to rank.

Final Thoughts

Retrofitted SEO is a powerful way to breathe new life into your existing content. By following these steps, you can improve your content’s visibility, drive more traffic, and even get featured in AI-generated overviews. The key is to approach the process strategically—understand your audience, do your research, and make data-driven optimizations.

So, the next time you find yourself staring at a blog post that’s not performing, don’t despair. Roll up your sleeves, retrofit the SEO, and watch the results roll in.