Search is changing, but the fundamentals of being visible online have not disappeared.
Google now answers more queries directly through AI Overviews and AI Mode, while ChatGPT can search the web and bring information from websites into its responses. For businesses, this creates a new challenge: it is no longer enough to rank well for a keyword. Your content also needs to be useful, understandable, trustworthy, and easy for search systems to discover and interpret.
As an SEO specialist at Primotech, I’ve seen businesses make some of the same mistakes when trying to adapt to AI-driven search. Some focus too heavily on AI tools. Others publish large amounts of AI-generated content. Some assume that if a website ranks on Google, it will automatically appear in ChatGPT.
It doesn’t work that way.
The good news is that you usually do not need to throw away your existing SEO strategy. You need to understand where AI search changes the way people discover and consume information, then adjust your approach accordingly.
In this guide, we’ll walk through 7 common AI SEO mistakes that can limit your visibility in Google AI Overviews and ChatGPT, along with practical ways to avoid them and strengthen your AI search optimization strategy.
Common AI SEO Mistakes Businesses Need to Avoid
We’ve seen how small gaps in SEO can affect visibility across AI-powered search. Here are seven common mistakes businesses should avoid when building an AI search optimization strategy
1. Treating AI SEO as a Completely Separate Version of SEO
One of the biggest AI SEO mistakes is assuming that AI search requires an entirely new SEO playbook.
It doesn’t.
Businesses sometimes jump straight into conversations about AI-specific files, complicated markup, or new tools while overlooking basic SEO problems on their own websites.
If Google cannot properly crawl your important pages, if your content is hidden behind inaccessible elements, or if your website has weak internal linking, adding another layer of AI optimisation will not solve the underlying problem.
These checks give us a clearer picture of where a website may be losing visibility and what needs to be improved before moving into more advanced AI search optimisation.
How to Strengthen Your AI SEO Foundation
If you want your website to perform well across traditional and AI-powered search, start with the fundamentals.
Make sure your important pages are accessible, your site structure is clear, your internal links connect related information, and your content directly addresses the questions your audience is asking. From there, you can refine the content for more conversational and AI-driven search experiences.
The goal isn’t to replace SEO with AI SEO. It is to build a strong SEO foundation so your content can perform across the ways people search today.
2. Publishing Generic AI-Generated Content That Adds Nothing New
It is now possible to generate a 2,000-word article in minutes. The problem is that everyone else can do the same thing. If your article simply repeats information that appears on dozens of other websites, why would an AI system need your version?
And more importantly, why would a potential customer choose it?
Google’s guidance on AI-generated content focuses on the value provided to users rather than whether AI was used to create the content. Generating large amounts of pages without adding meaningful value can become a problem when the purpose is primarily to manipulate search rankings.
This is something we often see when reviewing AI-assisted content.
The grammar may be perfect. The headings may be well organised. The keyword placement may look good.
But there is no real experience behind it.
For example, an article about choosing an AI development company in Mohali could repeat the same generic advice found everywhere:
“Consider experience, pricing, technology, communication, and portfolio.”
Nothing is technically wrong with that advice. It is simply not very useful on its own.
A stronger article would go further. It could explain what businesses should look for in a specific AI project, which questions to ask during vendor evaluation, how different development approaches can affect costs, or what implementation challenges businesses commonly face.
The difference is simple: the content should give the reader something useful beyond what they already know.
At Primotech, we use AI as a support tool for research, organisation, and content development, but the final content still needs human expertise, relevant examples, and practical insight behind it.
Before publishing AI-assisted content, ask yourself:
What can we tell the reader that they would not get from the first five search results?
If the answer is “nothing,” the content probably needs more work.
3. Writing for Keywords Instead of the Questions People Actually Ask
Traditional SEO often starts with a keyword.
AI search starts much more naturally with a question.
A user might search:
“AI search optimization”
But they might also ask:
“How can I make my website appear in Google AI Overviews?”
Or:
“Why isn’t my business showing up in ChatGPT recommendations?”
Or:
“Does ranking on Google help my website appear in ChatGPT?”
These searches have different wording, but they can represent the same broader topic.
If your content only targets the exact phrase “AI search optimization,” you may miss the questions surrounding that topic.
In our SEO work, we start by mapping the question behind the keyword.
What is the person actually trying to understand?
Are they researching a problem? Comparing solutions? Looking for a service? Trying to troubleshoot something? Preparing to make a purchase?
The answer changes how the page should be written.
Do this,
Build content around search intent, not keyword repetition.
For each important topic, identify:
- The main question
- Related questions
- Common problems
- Comparison searches
- “How” and “why” searches
- Commercial questions
- Follow-up questions a reader may have
Then answer those questions naturally within the content.
This creates a stronger AI search optimization strategy because your content becomes useful across a wider range of conversational searches.
4. Making Your Website Difficult for Search and AI Systems
You can have excellent information on your website and still make it difficult to discover or interpret.
This is where technical SEO matters.
Search systems need to access your content before they can understand it. Google’s current guidance recommends making sure important pages are crawlable and indexable, using internal links to connect important content, and ensuring important information is available in text.
For ChatGPT Search, OpenAI specifically recommends allowing its OAI-SearchBot to crawl your website if you want your content to be eligible for inclusion in ChatGPT Search. However, allowing crawling does not guarantee that a page will be cited or shown.
This is an important distinction.
You cannot simply “submit your website to ChatGPT” and expect visibility.
At Primotech, our technical SEO reviews therefore go beyond looking at rankings. We also consider how easily important information can be discovered and understood.
That means checking things such as:
- Robots.txt restrictions
- Indexing issues
- Important pages blocked from crawling
- Internal linking
- Canonicalization
- Page structure
- Mobile usability
- Structured data
- Content rendered on the page
- Bot access where relevant
There is no need for a special AI SEO setting. Google says no additional technical requirements or special schema are needed for AI Overviews or AI Mode, and llms.txt does not affect Google Search rankings. The focus should remain on making your website accessible, well-structured, and easy for both users and search systems to understand.
5. Assuming One Great Page Builds Topical Authority
One excellent article can rank. But one article rarely establishes your website as the strongest source on an entire subject. Imagine a company publishes one detailed guide about ChatGPT SEO and then stops creating related content.
There may still be dozens of important questions left unanswered.
What is ChatGPT SEO?
- How does ChatGPT Search find websites?
- How can businesses improve AI search visibility?
- How is AI search different from traditional search?
- How should content be structured for conversational queries?
- What technical issues can prevent discovery?
These questions create opportunities to build a connected content ecosystem. We’ve found that businesses get better results when individual pages support one another instead of existing as isolated blog posts.
For example, a core page about AI search optimization could connect to supporting articles covering:
- AI SEO strategy
- ChatGPT SEO
- Google AI Overviews
- Technical SEO for AI search
- Search intent
- AI-generated content
- Entity optimisation
- Content strategy
The goal is not to publish content simply to increase the number of URLs on your website. The goal is to build depth around subjects that matter to your audience.
The goal is not to publish content simply to increase the number of URLs on your website. It is to build depth around subjects that matter to your audience.
Start with one important subject, identify the questions surrounding it, and create useful supporting content that answers those questions. Then connect relevant pages through contextual internal links. This helps users find related information while giving search systems a clearer understanding of how your content connects.
6. Making Content Sound Like a Sales Pitch
This is an easy mistake to make when writing service-focused content. A business wants to promote its service, so every paragraph starts talking about what the company offers.
The result?
The reader asked a question and got a sales brochure.
We recommend answering the user’s question before introducing the service.
For example, if someone searches:
“How much does AI app development cost?”
The first goal should be to explain the factors that influence cost.
- Project complexity.
- Features.
- Model selection.
- Data requirements.
- Integrations.
- Development time.
- Infrastructure.
- Maintenance.
Once the reader understands the problem, it makes sense to explain how an experienced development partner can help. This approach is also better for building trust. Google’s guidance consistently emphasises people-first content that provides original value and demonstrates appropriate expertise rather than content created primarily for search engines.
7. Assuming Google Rankings Mean ChatGPT Visibility
This is probably one of the most misunderstood areas of AI search. Ranking well on Google is valuable. But it does not mean your business will automatically appear in every relevant ChatGPT response.
ChatGPT Search can search the web and use online sources to provide answers and links. OpenAI says websites should allow OAI-SearchBot access to be eligible for inclusion, but inclusion or citation is not guaranteed.
So, when we talk about ChatGPT SEO, we should not think about it as simply trying to achieve a traditional “position one.”
The objective is broader.
You want your business and content to be discoverable, understandable, relevant, and credible when an AI system looks for information related to your subject. That requires more than rankings. It involves the quality of your content, the clarity of your expertise, your website structure, the topics you cover, and the broader signals that help establish what your business actually does.
At Primotech, when we assess AI visibility, we don’t look only at Google rankings. We also ask:
- Is the business clearly associated with its core services?
- Does the website provide useful information around those services?
- Are important pages technically accessible?
- Does the content answer real questions?
- Are related topics connected?
- Is the business information consistent and clear?
- Can search systems easily understand what the company does and who it serves?
These factors give a more complete picture of your AI search optimization efforts. Strong Google rankings are valuable, but building broader visibility requires making your business and its expertise clear and discoverable across different search experiences.
What Should an AI Search Optimization Strategy Actually Include?
After working through these mistakes, the bigger picture becomes easier to see. A practical AI search optimization strategy does not need to be complicated. It should bring together the fundamentals of SEO with a stronger focus on usefulness, clarity, and conversational search.
Here is the framework we use as a starting point:
1. Fix the technical foundation
Make important pages crawlable, indexable, fast enough, mobile-friendly, and connected through logical internal links.
2. Understand the questions behind your keywords
Don’t stop at keyword volume. Look at what people are actually trying to accomplish.
3. Create genuinely useful content
Use first-hand experience, original analysis, examples, data where appropriate, and information that moves beyond generic summaries.
4. Build topical depth
Create supporting content around important subjects instead of publishing disconnected articles.
5. Make information easy to extract and understand
Use descriptive headings, clear paragraphs, lists where appropriate, direct answers, and logical page structures.
That does not mean writing every article as a collection of tiny snippets. Google specifically says there is no ideal word count and no requirement to “chunk” content into a special format for AI search.
6. Keep the human reader at the centre
AI systems ultimately respond to content that exists on the web for people to use. Write for the person first. Optimise for search second.
Conclusion
AI search is changing how people discover information, but it hasn’t made traditional SEO irrelevant. If anything, it makes the fundamentals more important. Businesses still need technically accessible websites, useful content, clear site structures, relevant topics, and strong answers to real customer questions.
The biggest shift is in how we think about visibility. We look beyond the question of “How do we rank for this keyword?”
We also ask:
“How do we become a useful source when someone asks an AI system about this topic?”
That change in mindset can make your SEO strategy much more resilient as search continues to evolve.
The businesses that adapt well will not necessarily be the ones publishing the most content or using the most AI tools. They will be the ones creating genuinely useful information, building authority around the subjects they know, and making that information easy for both people and search systems to understand.
Frequently Asked Questions
What are the most common AI SEO mistakes businesses make?
Common mistakes include publishing generic AI-generated content, focusing only on keywords, ignoring technical SEO, creating thin topical coverage, making every page overly promotional, and assuming Google rankings automatically guarantee visibility in AI search.
How can I improve my website for Google AI Overviews?
Start with the same SEO fundamentals: make your pages crawlable and indexable, use clear internal links, provide useful text-based content, satisfy search intent, and maintain good page experience. Google does not require special AI schema or a separate optimisation system for AI Overviews.
How can I improve my visibility in ChatGPT Search?
Make sure your website is accessible to OpenAI’s OAI-SearchBot, publish useful and relevant content, and build a website that clearly communicates your expertise and services. However, allowing crawling does not guarantee that ChatGPT will cite or surface a particular page.
Does AI-generated content hurt SEO?
Not automatically. The issue is whether the content provides real value. Using AI to assist with research, organisation, or drafting can be useful, but publishing large amounts of low-value content simply to manipulate search visibility can create problems.
What is ChatGPT SEO?
ChatGPT SEO is a commonly used term for efforts to improve the likelihood that a business’s website and information can be discovered and considered in ChatGPT Search. It should not be treated as a guaranteed ranking system like traditional search positions.
Why should businesses invest in Primotech for AI search optimization?
As search becomes more conversational and AI-generated answers become a larger part of the user experience, businesses need to make sure their information remains discoverable and useful across changing search environments. Our team at Primotech creates a strong AI search optimization strategy that helps businesses build on existing SEO rather than abandoning it.
September 2, 2026



