Why do you need humans, not only AI, great SEO campaign

“Why can't we use AI to do it?”

Whether you are on the brand or agency side of SEO, I am guessing that you have heard some version of it from an execution or a customer with very little knowledge about AI Tools, SEO principles or both.

I have been asked this question many times because the other side saw or heard about minor success from LLM-related materials, in which some clicks and impressions were found.

My Answer: Because thousands of LLM-made pieces of materials do not create a successful SEO program.

This article dives in human and AI roles in today's SEO landscape, including:

• What people are going wrong about AI and content.
• What AI can do and what cannot do for SEO campaigns.
• What an expert can do with AI tool.
• The northern star of 2025 SEOs (as I see it) and why you need humans to reach it.

,Comment: No LLM was used to write this article.)

What people are going wrong about AI and content

When people ask, “Can we have only 1,000 blog posts?” They believe that there is a linear progress.

For example, if a blog post gets 100 visits/month, will 1,000 blog posts not get 100,000 visitors?

• No, this SEO is not a way to work. This is not a linear discipline.
• More importantly, that approach means that you are simply fucking. You essentially use AI to construct your own content form of stale, repetitive language.

There is no value for the user or positive intimacy for the brand.

Now, you can use AI tools and strategic signals to create a solid base for a piece of material, then apply human editing and a unique Pov.

In most cases, it is faster than the content process before AI, and it will produce much better material than 1,000 LLM-made pieces, but it still requires human input.

In short, forget about spaming Google with a ton of poor LLM material. Your users will not read it, and after all, it will not do anything beyond inflating your vanity metrics.

And, significantly, Google will not like it.

Whenever the Google system deal with the explosion of people doing the same (easy) to the game, you want to zig while other zaging.

Do not be a part of the problem that triggers – and a huge algo is erased by updates.

Deep excavation: 3 ways to use AI for SEO win in 2025

What AI can do and what not to do for SEO campaigns

With unable to produce differentiated materials, AI is being asked to do things like “coming with keywords” or “internal links”.

If you are simply looking at your site and update the link without careful QA, you will simply end with a lot of lewd internal links.

This is the same thing with keywords: you can get a large list, but there will be a small amount of quantity of them, barely relevant, or straight waste.

Ever says someone says, “Let's use AI for the bus [task]”Try it once, gauge the output and the time required to bring it to anything from the human base, and you will have a more fine answer.

On the other hand, the SEO has some proven use cases for AI-and when they still incorporate human inputs, they are large time-saavors that free experts to address more strategic initiatives.

For example, if you have good source data and/or good, well replaced original idea, AI is great to remix them into some organized and experimentable.

Suppose you do an intensive interview with a solutions engineer. AI can highlight, classify and synthesize the most important parts of the interview, allowing you to leave the output and layer in your voice to QA.

Not only does it save you time, it helps in surface patterns in large data sets that you may never have seen on your own – or at least not pass quickly anywhere.

Deep excavation: How to optimize your 2025 content strategy for AI-operated Serps and LLMS

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If you contact AI devices with the right expectations, they can be incredibly powerful.

I often use it for technical materials such as brief and concepts – but as part of the drafting process. Draft 0.5 (we are not talking 1.0) is a chatgate remix for me.

He said, non-technical people using LLM to help establish a base for technical material are fine, but when you make it good, you still review the final product for facts and substances. For the area requires a specialist.

As mentioned, AI equipment may be great to synthesize large data sets and create trends and emotion analysis.

If you have received a list of keywords, it is a good practice to ask AI to come up with additional keywords.

I also like to use it for title tag and headline options.

I will write a good title with a character border and a target personality and ask an LLM to refer to that version.

Instead of writing five, I will write a very good, use an LLM to produce something else, and let the customer choose.

So, sometimes AI is a great starting point, and sometimes it is a great second step.

It depends on the scenario, and practices to understand that its power most effectively benefits.

But the answer is rarely to run AI wild and consider the output final.

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Why do you need humans to reach SEO peak in 2025

If we may agree that the final goal of SEO should run down-to-round results like pipeline and sales, then I want to present whatever I see as the best way to reach there in 2025. Am: Cite the primary source for Google and LLMS.

Use proprietary data and install a unique pov for your brand, and the user owns everything to learn from the primary keywords (or converted questions).

A primary reference is fundamentally inconsistent with LLM and AI, which are by nature derived. (In other words, you can't Happen Source pulling from the source.)

LLMS and AI, at this point, do not produce anything new or unique, which users crave – so Tiktok and Reddit Search The rise is associated with the emergence of LLM search.

This means that you need human input to stand out and attach users to stand out in the true sense by becoming a reliable reference on Google or LLMS.

Smart SEO uses AI – but still people need to win

The next day, a colleague asked me what kind of AI tool I want someone to build for SEO.

My answer, which is a completely wishful thinking, was a tool that would show me a network of ideas that have not been written about. A material gap analyst who identifies people Are not Saying.

The nature of AI and the way this source is the material material, however, I think it is naturally impossible (how you can do a negative source?) – At least for now.

AI equipment is being developed, it is worth monitoring.

We will be surprised at the cases of use addressed alone in the following year.

I am also guessing that no matter how good the equipment is, humans will always need to operate it.

Deep excavation: AI can't write this: 10 methods AI-proof for their content for the coming years