How SEO Writers Can Use AI Without Losing Quality

How SEO Writers Can Use AI Without Losing Quality

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How SEO Writers Can Use AI
AI tools have sparked a real concern in the SEO world: will they replace content writers?

For many, that question still lingers, and not without reason. AI platforms can generate content at a speed that human writers just can’t keep up with. However, this doesn’t mean that the content is of the same quality. Without heavy human involvement, it’s easy to lose the experience and judgment that support EEAT (Experience, Expertise, Authoritativeness, Trustworthiness). On top of that, factual accuracy can become an issue due to hallucinations or outdated information.

At the same time, avoiding AI entirely creates a different problem. Content production slows down, research takes longer, and opportunities to compete in search can be missed, especially when others are using AI tools to work more efficiently. Both extremes fall short. Fully AI-generated content tends to feel generic and unreliable. Fully manual workflows can limit scale and speed.

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The sweet spot may be somewhere in the middle: human-written content assisted by AI support. But in what ways can AI tools support human writers?

How Generative AI Helps SEO Content Writers (and Where It Falls Short) 

AI tools can be great at taking some of the friction out of writing. They can pull together basic info quickly or help you organize your thoughts. If you’re working on a lot of content at once, that kind of help adds up fast.

That said, speed does not automatically mean better. 

You’ve probably seen AI-written content that sounds decent at first, but the more you read, the more it kind of blends into everything else. That’s because AI isn’t thinking about what’s actually helpful for readers. It’s just predicting what content should sound like based on what’s already out there. It doesn’t know your audience, and it doesn’t know what’s missing. That part still needs a human.

#1: Getting Started and Overcoming Writer’s Block

Getting started is honestly one of the hardest parts. You open a doc, stare at it for a bit, maybe write a sentence and delete it, and suddenly ten minutes are gone. Even if you know the topic, getting those first sentences down can be oddly difficult.

This is where AI can actually be useful. You can use it to get a quick feel for the topic, see what questions people are asking, or sketch out a rough structure. It gives you something to react to instead of starting from nothing, which can make a big difference.

At the same time, it’s important to treat any AI output as a starting point only. AI can miss nuance or include information that isn’t quite accurate, so you’ll still need to check and verify anything you use. That said, as long as you’re doing the thinking, not the AI tool, it can be a great way to get started more quickly.

#2: Inspiring and Refining Your Wording

Sometimes you know exactly what you want to say, but the right wording just isn’t coming to you. You rewrite the same sentence a few times, and it somehow keeps getting worse. That’s usually when it helps to step back for a second.

AI can be useful here if you treat it like a sounding board. Ask it for a few different ways to phrase something, see what clicks, and then rewrite it in your own voice. The same goes for editing your own work. If something feels off but you can’t quite figure out why, running it through AI can help you see it differently. You’re still the one making all the decisions, but the AI can help you get out of your own head while you’re writing.

#3: Editing and Proofreading

Once you’ve got a draft, it can be helpful to run it through AI for a quick review. Not because it knows better, but because it’s a fresh set of eyes. It might catch something you’ve read past ten times without noticing. It can point out things like awkward sentences, tone shifts, or sections that don’t quite flow. That’s useful, especially when you’ve been in the same document for a while, and everything starts to blur together.

That said, you don’t want to accept everything it suggests. Some changes can make the writing feel too polished or a bit generic, or start to sound like it was generated wholesale by the AI tool. It should be there to help you, not correct you.

#4: SEO Optimization

AI can help on the SEO side, too, but it’s more of a helper than anything else. It can suggest related keywords, show you common questions, or give you a sense of how a topic is usually covered. That can make it easier to build something more complete. What it can’t do is make decisions for you. It doesn’t know your audience, your goals, or what actually matters for your content strategy. That part still needs real human input.

At the end of the day, good SEO content isn’t about squeezing in keywords. It’s about creating something that actually answers the question and helps the person reading it. That’s what makes it perform, and that’s still on the writer to accomplish.

Finding the Right Balance Between Generative AI and Human Writing in SEO Content

At this point, generative AI platforms like ChatGPT and Gemini have been around for long enough that they’re a part of our online ecosystem. They’re not miracle workers, but at the same time, avoiding them completely can cause you to miss out on opportunities. The real trick is figuring out the right balance.

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If you lean too heavily on AI, your content starts to feel generic and forgettable. If you avoid it completely, you’re probably spending more time than you need to on things that could be sped up. Neither approach really works long-term.

Because Google’s definition of high-quality content is still focused on EEAT (Experience, Expertise, Authoritativeness, and Trustworthiness), and none of these can be generated by AI, human writers still need to be in charge of the process, no matter what. But we can find ways to automate some of the slower parts of content creation so that we can focus on bringing that human expertise to the table.

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How To Rank in the Google Search Generative Experience

How To Rank in the Google Search Generative Experience

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How To Rank in the Google Search Generative Experience

With the rise of AI-driven content creation and the rapid evolution of search engines, Google’s Search Generative Experience (SGE) is transforming how users find information. Unlike traditional search, SGE taps into the power of generative AI to craft more comprehensive, conversational responses, making it essential for website owners, content creators, and digital marketers to adapt their strategies in order to stay competitive.

What Is the Google Search Generative Experience (SGE)?

You may have noticed that at the top of some Google SERPs, there is now a section at the top where generative AI can provide an answer to the search before the ranked web pages. Users can ask additional questions with the generative AI without leaving the SERP. While the SGE offers searchers a more conversational search experience, for those trying to rank for the top spots on the SERP, it means that the top spot now means less as it’s been pushed further down the page.

This doesn’t mean that SEO is now useless. It is, however, a good opportunity to take a look at your SEO strategies and make sure that they’re taking the SGE into account.

#1: Prioritize High-Quality, Factual Content

We’ve said it before and we’ll say it again: EEAT is possibly the most important factor in modern SEO. Expertise, Experience, Authoritativeness, and Trustworthiness are the qualities that Google is looking for in content that is eligible to rank highly. If your content doesn’t follow the EEAT guidelines, then it’s unlikely to rank on the first page of the search results at all, let alone in the top spot or in the SGE.

#2: Optimize for Conversational and Long-Tail Queries

Generative AI is designed to interact in a conversational way with users. This means that keywords should be framed in a conversational way. Long tail keywords, which are longer key phrases instead of individual words, are good examples of this. In many cases, users are asking questions, so wording a key phrase as a question can be a good way to keep your SEO more competitive in the generative AI landscape.

#3: Don’t Rely Only on Written Content

The AI powering SGE is not limited to text. It considers multimedia content like videos, podcasts, and images. Including diverse content formats will give your brand more opportunities to be featured. YouTube videos in particular can rank very highly in the SGE. YouTube is owned by Google and is a search engine in its own right, which means that YouTube videos have two opportunities to rank: first on YouTube and then again on the Google SERP. YouTube videos can be very valuable additions to any SEO strategy because videos don’t rank below the SGE, they rank within it at the top of the page.

#4: User Experience Still Matters

If a user isn’t getting the answers they’re looking for in the SGE, they may scroll down until they do. This means that user experience, which drives the metrics Google is using to rank pages, such as click-through rate, bounce rate, and dwell time, still matter. As the SERP landscape adjusts, it’s important to make sure that no matter how the Google search results shake out you’re still providing users with a good experience on your site in addition to good content because this ultimately is in line with Google’s own goal of providing a good user experience and the content that best answers their question.

Creating your content users in mind over the search engines can have the added benefit of helping to future-proof your SEO as much as possible, even in a search engine landscape that is constantly changing.

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How Generative AI Is Impacting SEO in 2024

How Generative AI Is Impacting SEO in 2024

Reading Time: 3 minutes
How Generative AI Is Impacting SEO in 2024

You may have noticed that when you search for something on Google, you get a response from generative AI at the top of the search engine results page (SERP). This is Google Search Generative Experience, or Google SGE, and it’s been gradually changing the landscape of the SERP and thus, of SEO, as it is rolled out across more and more search queries. But what, exactly, does this mean for SEO?

How Does Google Search Generative Experience Affect the Search Engine Results Page?

The primary effect is that the number 1 search result, a highly prized ranking, is much further down on the SERP. The top of the screen is taken up by sponsored ads, generative AI, and YouTube videos. Users have to scroll down to see even the first result on many SERPs, let alone those lower ranked. This makes that top spot much less valuable because generative AI may have already answered the user’s question, reducing the likelihood that they will scroll down to see the web pages that have ranked for that query.

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What Can We Do To Compete With Generative AI?

In many ways, we can’t compete with generative AI. However, that doesn’t mean that we’re out of the SEO game. Even as SEO is changing to reflect the presence of generative AI, there are strategies we can focus on to help users find our content.

1. Improve Your Local SEO

Local SEO is going to be increasingly important as generative AI takes over more of the regular SERPs. If a user searches for a keyword in a specific location (for example, “Detroit coffee shop” or “Mexican restaurant near me”), then Google provides a Google map result with the Google Business Profile entries for local businesses that fit the search criteria. If you have a physical location for your business, then filling out this profile in full can help people to find you.

2. Get Into the YouTube Game

YouTube is a search engine in its own right and many people are turning to videos over written content. This presents an opportunity for ranking within YouTube as well as ranking at the top of the Google SERP, which does, depending on the query, include relevant YouTube videos in the generative AI section of the SERP. This represents an opportunity to appear at the top of the SERP, above the top search result in addition to within YouTube’s own search algorithm, providing two places to rank with one video.

3. Focus on Expertise and Experience

Google has long recommended following the EEAT (formerly EAT) guidelines to produce high-quality content: expertise, experience, authority, and trustworthiness. Generative AI may be useful for many things, but it cannot replicate human experience. Focusing on your expertise and experience within your field can provide insights that no generative AI can offer. This type of content could attract users who are looking for something more than the more generic responses that AI could provide.

4. Keep Humans Involved

Perhaps the most important thing is to remember that, despite the involvement of AI, Google’s aim is predominantly to connect people with the best possible answers. AI cannot understand people the way people do, so people should therefore be involved in every step of your content creation process, even if you use generative AI yourself. This is because AI can make errors or may misunderstand human emotions and experiences. Having everything at a minimum reviewed by a human maintains a personal touch and increases accuracy. On top of that, it provides something that AI can’t, which is what can compete with AI online.

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