At Optimize5, we spend a lot of time thinking about how to create website content, both for our clients and ourselves.

AI has become an increasingly useful part of that process, but it also raises the question: How should businesses use AI to create content without sacrificing quality, trust or long-term search visibility?

In my conversations with colleagues and clients, that question is coming up more often. Over the last several weeks, I’ve also started receiving emails and seeing articles from SEO and AI optimization companies warning about a new development: AI-generated writing is being watermarked and becoming more detectable.

The underlying developments are real enough to deserve attention, but the conclusions being drawn from them are much less clear. Rather than reacting to one announcement, we’ve started tracking the topic at Optimize5 while continuing to test and update our own approach to AI-assisted content. A surprising amount has happened in a relatively short period of time, and looking at these developments together gives us a much more useful picture than reacting to any one announcement on its own.

Our current conclusion is: AI-assisted content is not inherently the problem. Generic, low-value and easily reproduced content is.

If you’re asking yourself or your team, “Should I use AI to write my website content? How much is too much? Can using AI hurt how my website shows up in Google or AI results?” those are the questions we’re going to work through here.

Our answer today is pretty simple: Use AI as much as it helps improve the process. Just don’t let AI replace the information, experience and expertise that make the content worth publishing in the first place.

Google Isn’t Telling Businesses to Stop Using AI

There’s been plenty of discussion about whether Google can detect AI-generated content and whether businesses will start being penalized for using it. But that’s not where Google’s current guidance is focused.

Google says, “generative AI can be useful for researching a topic and adding structure to original content.” When it can cross over into a problem is when you’re using AI to create large amounts of content without adding meaningful value.

Google’s more recent guidance continues in that same direction, placing more value on content that contributes something beyond another version of information already widely available online.

For a business, that can mean bringing in firsthand experience, actual customer questions, original research, useful examples or expertise developed from doing the work.

The important distinction isn’t simply whether AI was involved. Using AI doesn’t automatically make content low quality. However, using it to quickly create generic versions of what other websites are already saying isn’t a strong content strategy either.

So, a good question to ask yourself as you draft content: Does this contain something genuinely useful that I’m qualified to talk about?

What About AI Watermarking?

Another reason this conversation has picked up is that AI companies are developing better ways to indicate when their technology has been involved in creating content. Anthropic, for example, has announced a watermarking system for text generated by future Claude models that can help identify when Claude was involved in creating or significantly editing a passage.

But that information only tells you so much. A watermark wouldn’t tell you who came up with the original idea, whether the information is accurate or if the person or business publishing the content actually has expertise in the subject. Identifying AI involvement and being able to judge the quality of the finished content are two very different things.

That’s why we wouldn’t recommend building a content strategy around trying to hide whether AI was used. We’d focus on making sure the finished content is accurate, useful and worth publishing in the first place.

So, How Much AI Should You Use for Website Content?

This question is something my wife and I talk about often (I know, I know, it’s always exciting dinner conversation in our house). She’s a professional writer and communicator and feels strongly about not wanting her profession and passion replaced by AI.

I come at it from a slightly different angle. As a business owner, I’m always looking for ways to help my team make better use of the time and resources we have. I think the human element is critical, but I also know there are only so many hours in the day. If AI can help us work more efficiently without sacrificing the quality of the work, I’m going to use it.

From both our own experience and the current research available, there isn’t a useful percentage or perfect division of human vs bot. You don’t need a rule that says AI can write 20%, 50% or 80% of an article. A better question is: What are you asking AI to contribute?

AI can be really helpful for:

Researching a topic
Finding and comparing credible sources
Organizing information
Identifying questions you missed
Developing an outline
Drafting content
Reworking or restructuring existing content
Making technical information easier to understand
Identifying gaps or inconsistencies
Improving readability

Where you can run into trouble is having AI provide the substance when you haven’t supplied any yourself. AI shouldn’t have to invent your experience, expertise, real examples, customer questions, market knowledge, client experiences, original data or perspective on the subject.

Those are often the things that make a page worth reading in the first place. AI can help organize, develop and communicate them more effectively, but it shouldn’t be expected to manufacture them for you.

Here’s an easy checklist of what you shouldn’t rely on or expect AI to provide:

Your firsthand experience, both personal and professional
Real examples from your work
Questions your clients regularly ask
Your knowledge of your market and your point of view
Your own data
The things you’ve learned throughout your career

Those are the things that can make your content different from everything else already online. AI can help you communicate it, but it can’t, and shouldn’t, make it up.

Here’s What That Looks Like for a Real Estate Agent

Say you’re a real estate agent and want to create a page about working with buyers in San Ramon, California. You can tell an AI tool like ChatGPT, “Write a page about buying a home in San Ramon, California.”

Within seconds, you’ll most likely have a polished page discussing neighborhoods, restaurants, shops and the local housing market. And it will probably sound pretty good.

You may be asking, ‘Then what’s the problem with doing that?” The problem is that another local real estate agent can type the same prompt and get a very similar page.

Now take a different approach. Before asking AI to write anything, pull together information from your own experience working with buyers and sellers in the Bay Area’s Tri-Valley, like:

What questions do buyers moving to the area ask most often?
Which communities do I know especially well?
What mistakes do relocating buyers commonly make?
What types of buyers have I worked with?
What patterns show up in my client reviews?
What do I know from actually working in this market that someone researching it from outside the area may not know?
Which information can be supported by reliable local sources?

Starting your page with this information in hand gives AI something much better to work with. Your AI tool of choice can then help organize those ideas, research supporting information and turn your knowledge into a useful page.

Both approaches use AI. But only one helps document what you as the real estate agent actually know.

Try the Competitor Test

Here’s one question we’ve been using when evaluating our content at Optimize5: “If you changed the business name, could one of our competitors publish almost the entire page as their own?”

If a competitor can produce essentially the same content, then it needs more substance. Not every sentence has to contain an original insight. Some information will naturally be educational or factual.

But somewhere on the page or blog, the reader should learn something about your experience, your customers, your market, your process or your perspective that doesn’t belong equally well to every other business in your industry.

That applies whether you’re a real estate agent writing about a local market, a contractor explaining a common home problem or a professional services firm answering questions clients regularly ask.

Human Review Still Matters, but Not Just for Grammar

One common recommendation with AI-generated content is to have a person review it before it’s published. But simply saying content was “human-reviewed” doesn’t tell you how meaningful that review actually was.

There’s a big difference between a subject-matter expert carefully evaluating the content and someone quickly correcting a few awkward sentences. A meaningful review should look at the content’s substance and ask whether it:

Is accurate
Reflects what your business actually does
Includes real examples
Supports important claims
Includes the context a knowledgeable person would expect
Sounds like your business

And most importantly, does the content actually help the person reading it?

Whoever is reviewing the content must be willing to stand behind what gets published. That matters much more than simply changing a few phrases so that AI-generated copy sounds more human.

Your Website Content Doesn’t Exist by Itself

Someone researching your business may look at your Google Business Profile, read your reviews, visit your website, see information from business listings or come across other sources about you online.

Google and AI tools also discover information about your business from more than one place, which means great website content becomes even more useful when it matches and strengthens the information being communicated elsewhere.

Imagine a real estate agent whose website repeatedly talks about deep experience in a particular market, but that market is barely represented anywhere else in their online presence. Or a chiropractor who promotes a specialty on their website, but whose reviews, Google Business Profile and other sources provide very little evidence of that expertise.

This is why businesses don’t need a completely separate “AI content strategy.” Website content should be part of a strong digital foundation where your Google Business Profile, website, reviews, business listings and other important sources work together to give people, Google and AI tools a clear and credible picture of your business.

A Better Way to Use AI for Website Content

So how do you actually put all of this into practice? Here’s the process we recommend for using AI to make content creation more efficient without asking it to replace the knowledge and expertise that should come from you.

1. Start with what you know

Before you start writing, think about what you already know that will make the content useful. What questions do your clients ask you? What have you learned from doing the work? What do you know about your market, services or clients that someone outside your business doesn’t know?

For me, one subject I could easily write about is using AI to run a business more efficiently because it’s something I’m actively doing every day. I spend a lot of time pushing Codex to see what it can handle, running multiple instances, testing when different models work best and learning where the tool starts to break down. Just ask my wife. She hears about it all day long. Because I’ve spent real time experimenting with it, I have firsthand experiences, lessons and examples I can bring to an article that AI wouldn’t know unless I shared them.

Starting with what you know gives you something real to build content around instead of asking AI to come up with the substance for you.

2. Gather the information you’ll need

Bring together anything that will help support or strengthen what you want to say. That might include feedback from your customers, examples from your work, information from your team, your own data or reputable outside research.

You won’t need all of those things for every piece of content. The goal is to give AI enough accurate, relevant information to work with instead of relying only on what it already knows about the general topic.

3. Use AI where it makes the process better

Once you have the substance, use AI to help research, organize, question, outline and draft. It can also help you identify gaps, restructure a section or make something you understand well easier for readers to understand.

There’s no benefit in making the process unnecessarily hard just so you can say a person manually typed every sentence. AI can do a lot of the work without needing to be the source of the expertise behind it.

4. Make sure the content sounds like your business

As you review the draft, look for places where your own experience, examples or point of view are missing. Add the things AI can’t know without you: what you’ve seen firsthand, what your customers tend to struggle with, what you do differently or what you’ve learned over time.

If the first draft feels generic, asking AI to simply “make it better” may not solve the problem. It may need more information from you.

5. Check the facts

Don’t assume something is correct because AI presents it confidently. If the content includes statistics, research, technical information or other important factual claims, check them against the original source before you publish.

It’s incredibly important you don’t skip this step. AI tools have access to a wealth of information, but they aren’t perfect and they can get things wrong. Read the content carefully and go back to the original source when something needs to be verified. Don’t rely on the AI tool itself to confirm whether its own answer is correct. You should also review the finished copy to make sure it doesn’t plagiarize or too closely mirror the wording, sentence structure, organization or distinctive framing of any source used during the research process.

You should also make sure the content accurately reflects your own business. AI may fill in gaps or make assumptions about your services, experience or process, so those details need to be reviewed too.

6. Read it like one of your clients

Once the page or blog is finished, stop thinking about how it was created and look at it from the perspective of the person who finds it. Will it answer the question they came with? Did they learn something useful? Do they understand your experience or expertise better than they did before?

If the page sounds polished but doesn’t actually help someone understand your business or the topic, it probably still needs more work.

That’s the process we recommend based on what we know today. But AI content, search and watermarking are changing quickly, and not every question has a definitive answer yet. Before we wrap up, it’s worth separating what’s clear right now from what we’re still watching.

What We Know and What We Don’t

There’s been enough dramatic messaging around AI-generated content that it’s worth separating what we know today from what’s still uncertain.

What we know

AI companies are introducing new ways to identify when their tools have been involved in creating content.
Requirements around AI transparency are becoming more formal, including new rules that took effect in Europe in 2026.
Google says the same core SEO fundamentals that apply to traditional search continue to matter for AI Overviews and AI Mode.

What we don’t know

We haven’t found Google guidance saying a page will be penalized simply because AI helped create it or because the text contains an AI watermark.

We also don’t know whether watermarking or other signals that identify AI involvement will eventually impact how content appears in Google or AI search. And we shouldn’t assume today’s guidance will stay exactly the same as technology continues to change.

Why We’re Continuing to Track This

A lot has changed in a short period of time, and any of these latest developments can create an attention-grabbing headline. We’re more interested in what they mean together and whether they should actually change the way businesses create content.

That’s why we’re continuing to follow the guidance, technology and performance data rather than treating this as a question we answered once. If the evidence changes, our recommendations should change with it.

The Bottom Line

Businesses don’t need to avoid AI when creating content. Access to better AI also doesn’t eliminate the need for better information. If anything, it makes the information behind the content more important.

Anyone can now generate a polished article about a common topic in seconds. What isn’t as easy to reproduce is your experience, the questions your customers ask, what you’ve learned from doing the work, the examples you can share, the reputation you’ve built and the perspective you’ve developed over time.

That’s where the value comes from.

So, if I were to distill our recommendation on how to use AI for your content into a single sentence, it would be: Use AI to help research, organize, develop and communicate the things you know more efficiently, then make sure the finished content is accurate, useful and truly represents your business.

Instead of focusing on “Can Google tell that AI helped create this?” the more useful question is: “Did AI help me create something that actually gives people a better understanding of my business?”

That’s the standard we think businesses should be paying attention to as both traditional search and AI search continue to evolve.

How Much Should You Use AI to Create Website Content?

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