For most of the past 20 years, the basic idea behind online search was fairly straightforward. Someone typed a few words into Google, received a page of results and clicked on one or more websites to find the answer.
That behaviour hasn't disappeared, but it is changing.
People can now ask much more detailed questions and receive generated answers directly within search experiences. They can compare options conversationally, refine a question without starting another search and ask an AI assistant to help them decide what to buy, where to go or which type of business might solve a particular problem.
For a small business, this understandably raises a big question.
Do I now need to optimise my website for AI as well as Google?
The answer is yes — but probably not in the way some of the marketing surrounding "AI SEO" would have you believe.
AI search doesn't mean throwing away everything we know about SEO
One of the more reassuring developments is that Google's own current guidance does not tell businesses to abandon conventional SEO and start again.
Quite the opposite.
Google says the SEO practices that help websites perform in conventional search remain relevant to its generative AI search features because those experiences draw on Google's existing search and quality systems. Google's guidance continues to emphasise technically accessible websites, useful original content and clear information.
That is important because there is already an emerging industry selling supposedly essential "GEO", "AEO" and AI optimisation tricks.
Some of those discussions contain useful ideas. Others amount to taking perfectly sensible SEO practices, giving them a new acronym and charging businesses for something mysterious.
Small-business owners don't need to panic.
A website that Google struggles to crawl, understand or trust isn't going to become magically more useful because somebody has labelled the strategy "AI optimisation".
The foundations still matter.
Think about how the customer's question has changed
Where AI search becomes particularly interesting is in the way people can formulate questions.
Traditional searches often look something like:
plumber Richmond
accountant Melbourne small business
wedding photographer Melbourne
Conversational search allows much more context.
Someone might instead ask:
"I own a café in Richmond and need a plumber who handles commercial work and can come out after closing time. What should I look for?"
Or:
"I run a small construction company in Melbourne with five employees. What type of accountant should I use?"
Those questions contain considerably more information about what the person actually needs.
For businesses, that reinforces something we've discussed throughout the LabRank articles: don't build your website around keywords alone.
Build it around customers and their questions.
Does your website actually explain what you do?
Imagine a customer asks an AI system for a Melbourne commercial electrician who works with restaurants.
Your website says:
"Providing innovative electrical solutions for businesses across Victoria."
Your competitor's website explains that it provides commercial electrical maintenance throughout Melbourne, regularly works with restaurants and hospitality venues, offers after-hours servicing and handles switchboards, lighting, emergency repairs and electrical compliance work.
Which business has supplied clearer information?
This doesn't mean an AI system will necessarily recommend the competitor. No legitimate SEO provider can guarantee that.
It does mean the competitor has made its business easier to understand.
That helps humans too.
The same principle applies whether your potential customer finds you through a conventional Google result, Google Maps, an AI-generated answer or another discovery platform.
Specific beats generic
One of the most useful changes a small business can make is replacing vague marketing language with information that actually distinguishes the business.
"We provide outstanding customer service" tells a search system very little.
"We provide mobile dog grooming throughout Melbourne's eastern suburbs, including Hawthorn, Camberwell, Kew and Balwyn" provides considerably more context.
"Quality solutions tailored to your needs" could describe almost anything.
"We repair and restore timber sash windows in Victorian and Edwardian homes across inner Melbourne" tells both the customer and digital systems exactly what the company does.
This doesn't mean stuffing locations and keywords into every paragraph. That makes pages unpleasant to read and can quickly become spammy.
It means being precise.
Good on-page SEO has always benefited from clarity. AI-driven discovery makes that clarity even more valuable.
Original knowledge has become more important, not less
There is an irony to the explosion of AI-generated content.
The easier it becomes to generate generic information, the less interesting generic information becomes.
Google's current guidance for generative AI search specifically encourages original, valuable content and warns against simply reproducing information that is already widely available. It also says that mass-producing pages primarily to manipulate rankings or generative answers can run afoul of its spam policies.
This creates an opportunity for genuine small businesses.
You know things about your work that a generic article generator doesn't.
A Melbourne landscaper knows which garden problems repeatedly appear in local properties.
A mechanic knows which questions customers ask before approving an expensive repair.
A mortgage broker knows which parts of the process regularly confuse first-home buyers.
A wedding photographer knows what goes wrong when couples plan an unrealistic photography schedule.
That experience is useful content.
Instead of publishing another generic article called "10 Reasons You Need a Plumber", answer a question you've genuinely been asked by customers.
Explain what you've seen.
Use examples.
Provide information somebody could actually use.
That's much harder to commoditise.
Your business information needs to agree with itself
AI search also makes the wider digital footprint of a business worth considering.
Your website isn't the only place where information about your company exists.
There may be a Google Business Profile, industry directories, social profiles, professional memberships, review sites and other websites mentioning the business.
For a local company, make sure basic information isn't contradicting itself.
If your website says you service all of Melbourne but your prominent business profiles still describe a much smaller area, that's unnecessary ambiguity. If you've changed your phone number or business name, old listings shouldn't be left indefinitely.
Google specifically points local businesses toward accurate business information and Google Business Profile as part of visibility across conventional and AI-powered search experiences.
That's another reason Local SEO remains relevant rather than becoming obsolete because of AI.
Don't create an "AI version" of your website
You may encounter advice suggesting that websites need special pages written specifically for AI systems.
Be cautious.
Your website doesn't need one version for customers, another for Google and another written in strange robotic prose for AI.
Google's current guidance explicitly pushes back against several supposed AI-search requirements. For example, it says Google Search doesn't require special AI text files such as llms.txt, nor does content need to be artificially broken into tiny "chunks" so its AI systems can understand it.
That's a useful reminder of a broader principle.
Don't make your website worse for people in an attempt to make it better for machines.
If a page naturally needs headings, use headings.
If a question is best answered in two paragraphs, use two paragraphs.
If a table makes complicated information easier to understand, use a table.
Structure content because it helps communicate the information clearly, not because someone claims an AI crawler demands a particular formula.
Technical SEO hasn't suddenly become boring and irrelevant
The glamorous conversation is about AI.
The less glamorous reality is that a page still needs to be discoverable and technically accessible.
Google states that pages need to meet its technical requirements and be indexable to be eligible for its generative AI search features.
So before worrying about some advanced AI optimisation strategy, check the basics.
Can search engines access the important pages?
Are pages accidentally set to noindex?
Does the website work properly on mobile?
Are important services buried several clicks deep?
Are internal links helping connect related information?
Does each important service have enough useful information to deserve its own page?
Are old pages broken or redirecting incorrectly?
None of this sounds futuristic.
That's precisely the point.
Images are becoming part of search visibility too
Search is also becoming increasingly visual.
On 24 September 2026, Google announced new Search Console reporting for web multimodal search, including searches involving Lens, Circle to Search, image uploads and image-based searching through Chrome. The reporting is rolling out globally.
For many small businesses, this is worth paying attention to.
A landscaper, builder, hairdresser, restaurant, interior designer, retailer or photographer has something particularly valuable: real visual evidence of what the business does.
Good original images can help customers understand your work before they contact you. Descriptive alt text, sensible filenames, relevant surrounding content and properly optimised image sizes also make those assets easier for search systems to interpret.
This is a much better use of time than decorating every page with generic stock photographs of people shaking hands.
Structured information can help Google understand a page
Structured data is another useful tool, although it shouldn't be treated as magic.
Google uses supported structured data to better understand information on webpages and, where appropriate, to make pages eligible for certain enhanced search appearances.
For small businesses, the appropriate implementation depends on the website and content. The important point is that structured data should accurately describe information that genuinely exists on the page.
Adding markup doesn't make a poor page authoritative.
It makes clearly presented information easier for systems to interpret.
Content comes first.
Can you measure AI visibility?
Increasingly, yes — at least within Google's own ecosystem.
Google now provides reporting around generative AI features in Search Console, and its latest documentation recommends using those reports to understand how content is being discovered through Google's AI-powered search experiences.
If somebody tells you your business has an "AI authority score of 87", the obvious question is: according to whom?
Google itself warns that third-party tools don't have access to Google's internal ranking or AI systems.
Third-party tools can still be useful. Just don't mistake a proprietary metric for a measurement coming directly from Google.
A practical AI-search readiness check
You don't need to rebuild your website this weekend.
Instead, choose one of your most important services and look at its page.
Ask yourself whether someone unfamiliar with the business could clearly determine what the service is, who it's intended for, where you provide it, what problems it solves, what makes your experience relevant and what the customer should do next.
Then ask a harder question:
Does this page contain anything that could only realistically have come from our business?
An example from a real project?
An explanation based on experience?
Original photographs?
Specific advice you've learned from dealing with customers?
A genuinely useful answer to a question your customers repeatedly ask?
If the page could have been written for any competing business simply by replacing the company name, there is probably room to improve it.
AI search isn't a reason to abandon SEO. It's a reason to do it properly.
There will undoubtedly be new techniques, technologies and measurement tools as AI-powered search develops.
We should pay attention to them.
But small businesses shouldn't feel pressured into buying an entirely new marketing strategy every time somebody invents another acronym.
At LabRank Digital, our approach to small business SEO remains deliberately practical. Our ongoing SEO service is $499 per month because smaller Australian businesses need a realistic way to improve their visibility without automatically committing thousands of dollars every month.
That now includes thinking about how search itself is evolving.
The objective isn't to promise that an AI assistant will recommend your business. Nobody can responsibly guarantee that.
The objective is to make the business easier to discover, understand and trust wherever modern customers are searching.
Right now, the strongest foundations for doing that look remarkably familiar:
A technically sound website.
Clear information.
Useful original content.
Consistent business details.
Real expertise.
Credible external signals.
And pages written for actual people.
AI is changing search.
It hasn't changed the value of being genuinely useful.
For businesses wanting to follow Google's technical guidance directly, the Google Search Central documentation is a useful reference.
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