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AI Gave You an SEO Strategy. Now What?

2 days ago
4 min read

AI has made digital strategy incredibly accessible.


You can ask ChatGPT, Gemini, Claude, or another AI platform why your website is not ranking, how to improve your SEO, what schema markup you need, how to show up in AI search results, or what content you should create next.


And within seconds, you can have a list. Sometimes a very long list.


If AI gave you an SEO, GEO, or AI-search strategy, don't automatically implement everything on it. First figure out which recommendations apply to your business, which are already handled, which conflict with your website or customer experience, and which problems are actually worth solving.


That is the difference between having recommendations and having a strategy.


Keri Blumer reviewing an AI-generated SEO strategy at her desk.

AI is very good at producing recommendations


That is different from understanding your business.


AI can explain SEO best practices extremely well. It can analyze information you give it, spot patterns, and suggest keywords, content structures, schema types, technical improvements, and new opportunities.


I use AI in my own work constantly.


The problem begins when a list of recommendations gets mistaken for a strategy.


Your business may not need everything on that list. Some recommendations may already be implemented. Some might technically be correct but irrelevant to the way your customers actually find you. Some may conflict with your website platform. Some may improve one metric while hurting another part of the customer experience. And sometimes the advice is simply wrong.


That does not mean AI failed. It means the recommendation was created without enough context.


SEO does not exist in a vacuum anymore


Search visibility is connected to website structure, brand authority, local presence, content, technical performance, structured data, reviews, reputation, and the information search engines and AI systems can consistently understand about your company.


Then we added another layer: AI search.


People are increasingly asking conversational questions instead of typing two or three keywords into a traditional search box.


The real conversation is bigger than SEO. It is about digital visibility.


More content is not automatically better


One of the most common recommendations generated by AI is to create more content.

Sometimes that is exactly the right answer. Sometimes it creates a mess.


I have seen websites with dozens of pages targeting slightly different versions of essentially the same phrase. Articles repeat information already covered elsewhere. Location pages exist primarily because someone was told they needed location pages. FAQ sections grow into giant collections of questions nobody is actually asking.


The result can be a website with more content and less clarity.


Before creating another page, I want to know what question it answers, who needs the information, where it fits within the rest of the site, whether another page already answers it, what someone should do after reading it, and whether Google and AI systems can clearly understand why the page exists.


Publishing because an AI gave you twenty article titles is content production. Deciding what belongs is strategy.


Schema is another perfect example


Structured data comes up constantly in AI-generated SEO recommendations.

And yes, schema can be incredibly useful.


But adding more markup just because AI recommended it can create duplicate schema, conflicting information, inappropriate schema types, or custom markup layered on top of what a platform already produces.


The goal is not more schema. The goal is accurate machine-readable context.


Performance scores need context too


Another screenshot I get regularly is some version of: AI says my website performance is bad.

Then comes a Lighthouse report, PageSpeed Insights score, SEO scanner, accessibility report, or automated audit.


Those tools can be useful, but the number on the screen is not the entire story.


The goal is to understand what is creating the issue, how much it matters, what can realistically be changed, and whether fixing it creates a meaningful improvement for the customer or business.


The same thing is happening with AI visibility


Businesses are beginning to ask: Why isn't ChatGPT mentioning my company?


That is a legitimate question. But there is no single switch called optimize for ChatGPT.


AI visibility is tied to a larger digital ecosystem: what your website says, how clearly your services are defined, how consistently your company appears across the web, whether credible sources reference you, and whether your content answers meaningful questions.


Doing everything is rarely the strategy. Finding the right things is.


Before implementing the list, diagnose the problem


Sometimes your SEO problem is not SEO.


Your offer is confusing. Your site architecture does not make sense. Your strongest service is buried. Your local information is inconsistent. Your website is technically sound but says almost nothing meaningful. Your business has changed while your digital presence still represents the company you were three years ago.


Those are very different problems, and they require very different solutions.

That is why diagnosis should come before implementation.


At Studio Magic, The Diagnostic is where I look at the recommendations, the website, the business, and the larger digital picture before deciding what should actually be changed.

Have an AI-generated SEO strategy and aren't sure what actually needs to be done? Bring me the list. We'll figure out what matters first.



Keri Blumer, founder of Studio Magic.

Keri Blumer, Founder of Studio Magic

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