How can I use AI SEO to improve my website rankings without creating low-quality content?

AI SEO should be an efficiency layer.

It can support:

• Keyword and topic research.
• Search intent analysis.
• Keyword clustering.
• Content gap reviews.
• Technical SEO audits.
• Content briefs.
• Competitor research.
• Internal linking analysis.
• Editorial checks.

What it should not do is become the unquestioned author, strategist and editor.

AI can process information quickly. But, someone still needs to understand the business, the customer and why one SEO opportunity has more possible value than another.

At Net Branding, this distinction matters. We have worked across SEO, websites, digital advertising and content since 2008. More output has never automatically meant better SEO.

• Sometimes you need another article.
• Sometimes you need to improve the page you already have.
• Sometimes two competing pages need to become one.

And sometimes the right answer is not to create another page at all.

AI SEO generally describes using AI tools to improve the SEO process.

Generative Engine Optimisation, often searched as Generative Engine Optimisation or GEO, focuses more specifically on making businesses and content understandable, useful and potentially referenceable within generative AI answers.

That might include Google AI Overviews, AI Mode, ChatGPT and other AI search platforms.

Google’s current guidance says normal SEO practices remain foundational because its generative features use Google’s existing Search ranking and quality systems.

So you do not need to abandon SEO.

You need to improve it for a search environment where ranking, being mentioned and being cited can all matter.

Source: Google Search Central: AI features and your website

Take one of your existing pages.

• Remove your business name.
• Now insert the name of your closest competitor.
• Would almost everything else still make sense?

If it would, ask what your business actually contributed to the page.

A plumber can explain what a blocked drain is. So can AI.

The plumber may also know which symptoms usually appear before a recurring blockage, what customers often try before calling, and what they regularly find in Auckland homes.

That is harder to reproduce.

The same applies to a lawyer who knows what commonly holds up settlement, or a retailer who knows which question customers nearly always ask before buying.

Your experience does not have to sound dramatic.

It just needs to be real.

A practical AI SEO process has four stages.

Research. Audit. Brief. Editorial review.

The important part is the human gate between each one.

AI support versus human judgement

AI is very good at sorting information.

Imagine you have 400 keywords relating to plumbing.

You could ask:

Group these search terms according to likely user intent. Separate informational searches, comparison searches, local service searches and searches showing strong buying intent. Identify topics that appear to need a separate page and explain why.

That can save hours.

But do not automatically accept the output.

Someone searching for “why does my shower keep going cold?” behaves differently from someone searching for “hot water cylinder replacement Auckland”.

They relate to the same broad subject.

The intent is different.

The human check is:

• Does the cluster make sense commercially?
• Would these people genuinely need the same page?
• Is this an information search or a buying search?
• Does the opportunity fit the services the business actually wants to grow?

AI can organise the clues.

Your business knowledge tells you what those clues mean.

AI can also help analyse technical information.

Use an AI Readiness Checklist that includes:

• Crawlability.
• Indexation.
• Core Web Vitals.
• Mobile performance.
• Rendering.
• Heading hierarchy.
• Internal links.
• Duplicate content.
• Structured data.
• Page titles.
• Important content gaps.
• Robots instructions.

The keyword is assist.

AI should help interpret real data from tools such as Google Search Console, crawling software and page performance tools.

It should not invent the evidence.

An experienced SEO person then prioritises the findings.  An often at Net Branding, we feel that this is the most important step.

Fifty weak page descriptions may matter less than one important service page Google cannot index.  At Net Branding, this is where AI-supported analysis and human SEO strategy need to work together. A tool can identify a problem.  Someone still has to understand its impact on the business.

AI should not decide when the page is ready to publish.

A person should check:

• Is it factually accurate?
• Does it sound like the business?
• Are important claims sourced?
• Does it include first-hand knowledge?
• Does it answer the main question quickly?
• Is anything simply filling space?
• Would we give this advice directly to a customer?

Add a named author where appropriate.

Use relevant credentials.

Include original examples, data or observations where you genuinely have them.

Add a review date for content where information may change.

That gives the reader more context about who stands behind the advice.

The Thin Content Test gives teams a simple pre-publication quality check.

Before publishing, run five checks.

Question 1: Does This Page Contain Something Only Your Business Could Reasonably Say?

Look for original experience, customer questions, real examples, internal research, useful observations or your own data.

If AI could create the same information for your competitor, it probably needs something more. And yes, this is often where some of the AI automation tools fall over.  At Net Branding – we have domains that we use to test software, and this was our real experience.

Question 2: Can the Reader See Who Stands Behind the Advice?

Use a named author, relevant experience and a proper author page where expertise matters.

Trust becomes harder when nobody appears to own the content.  A point close to home.  AI is what we do – as a company, we stand behind what we recommend, yet acknowledge we are working in a very different digital world to the world a few months or years back.

Question 3: Would a Customer Trust This Over a Generic Competitor Page?

Forget SEO briefly.

Read the page as the person deciding who to contact.

Does the content answer a real question?

Does it sound like somebody understands the problem?

Would you send the article to one of your own customers?

Question 4: Does It Answer the Main Question Early?

Do not hide the answer behind 600 words of background.

If someone wants to know what AI SEO means, tell them.

Then add the detail.

Question 5: Can Someone Understand and Extract the Important Information Quickly?

Use sensible headings, lists and comparisons.

Explain technical terms. Keep the structure easy to follow. Good content should make a difficult subject easier to understand. Do not make the writer sound clever. All of us are evolving along with this AI digital world that we acknowledge is moving at an exponential rate.

This may be the most overlooked part of AI SEO.

Your best content may already exist.

It could be sitting in:

• Sales conversations.
• Customer emails.
• Reviews.
• Quotes.
• Job notes.
• Staff training.
• Common objections.
• Complaints.
• Frequently asked questions.
• Years of repeated conversations.

The information feels ordinary because your team deals with it every day. To a customer, it may be exactly what they were looking for.  And this is something our Net Branding team often encounter.  If I have a penny for every time I have said – stop me if I use a term that you have not heard or want me to explain further – why?  You understand what it is like to manufacture eyewear; I know what I need to do.  We both have skills relevant to the solution we are trying to create.

Give it your expertise and ask it to help organise it.

AI can organise business knowledge, but the expertise has to come from the business.

Better AI visibility starts with better information, not a guaranteed citation tactic.

There is no guaranteed formula for getting cited by ChatGPT or appearing in Google AI Overviews.

There are sensible ways to make your content more useful and easier to understand.

Answer first, then write works because it respects the reader’s time.

If someone asks:

What is AI SEO?

Tell them.

A concise definition could be:

AI SEO uses artificial intelligence to support SEO research, auditing, planning and optimisation while keeping human expertise and editorial judgement involved.

Then expand.

Clear definitions, useful comparisons and structured lists make important information easier for people to understand and easier for systems to interpret.

E E A T should not become a box-ticking exercise.

Show the evidence naturally.

• Named authors.
• Relevant experience.
• Author profile pages.
• First-party sources. – Is this Net Branding experience, or is this based on other parties’ research.
• Real examples.
• Appropriate qualifications.
• Clear business details.
• Published and reviewed dates.

Where possible, distinguish clearly between:

• What Google says.
• What OpenAI says.
• What SEO practitioners are testing.
• What you have seen from your own work.

Do not turn an industry theory into a supposed Google rule.

Use structured data to describe information that genuinely exists on the site.

Depending on the page, that may include:

• Article or BlogPosting.
• Organisation.
• Person or ProfilePage.
• LocalBusiness.

Structured data can help search engines understand the organisation, author and content.

It is not an AI citation switch.

Google says there is no special schema required to appear in AI Overviews or AI Mode.

FAQ sections can still be useful for readers and question-based search.

They should not be treated as a guaranteed rich result tactic.

Source: Google Search Central: Structured data

OpenAI says public websites can potentially appear in ChatGPT search.

It also advises publishers who want their content discovered and cited not to block OAI SearchBot.

That does not guarantee a citation. It simply removes an unnecessary obstacle.

The same principle applies to Google.

Your content needs to be technically accessible before you can reasonably expect it to perform.

Source: OpenAI: ChatGPT search and publisher controls

Do not replace one vanity metric with another.

Being mentioned by an AI platform may sound impressive.

The more important question is whether the mention is relevant to your business.

Track:

• Organic visibility.
• Search clicks.
• Leads and enquiries.
• AI generated brand mentions.
• Pages cited or surfaced in AI search.
• Referral traffic from AI platforms.
• Search Console visibility.
• Conversion activity.
• Priority topic performance.

OpenAI also adds a ChatGPT source parameter to search referral links, which can help identify relevant traffic in your analytics.

Look at the wider customer journey.

Did the right people find you?

Did enquiry quality improve?

Did important pages gain visibility?

That matters more than simply counting mentions.

Choose one important topic cluster.

• Record its current rankings, impressions, clicks, enquiries and AI visibility.
• Then improve it.
• Review search intent.
• Strengthen the service page.
• Add useful supporting content.
• Improve internal links.
• Add real experience.
• Check the technical setup.
• Make the expertise more visible.
• Then review the same measures after 60 days.
• A focused test gives you something useful to learn from.

Publishing thirty AI articles at the same time makes it much harder to understand what actually worked.

An Illustrative Example

Imagine a New Zealand service business with an existing page about hot water cylinder replacement.

The original page explains what a cylinder does and lists the company’s services.

The improved page also answers real customer questions, explains circumstances where repair may make more sense than replacement, includes a named reviewer, adds first-hand observations and improves the technical structure.

The business then compares Search Console data, enquiries, relevant AI mentions and referral traffic over the next 60 days.

That is a sensible AI SEO experiment.

It is not a promise that changing a page automatically creates higher rankings or AI citations.

AI can make a good SEO process faster.

It can also make a poor publishing process faster.

That is the part businesses need to remember.

• Use AI to research.
• Use it to find patterns.
• Use it to review information.
• Use it to build stronger briefs.
• Then add the experience, evidence and judgement that actually belongs to your business.

At Net Branding, that is how we believe AI SEO should work.

The technology should help make your expertise more visible.

It should not remove the very information that makes your business different.

Start with one existing page.

Run the Thin Content Test.

You may quickly see what is missing.