AI Search Is Changing How Customers Find Businesses. Will They Find Yours?

For years, the commercial question was simple: when somebody searched Google for your category, did your business appear?

That question has changed.

Customers are increasingly asking AI platforms such as ChatGPT, Gemini, Claude, Perplexity and Grok to compare businesses, recommend providers, explain products and narrow down choices. Instead of working through ten search results, they can ask a direct question and receive a direct answer.

For businesses, that creates a new visibility challenge.

If somebody asks, "Who are the best retirement living providers in Tasmania?", "Which PR agencies should I consider in Hobart?" or "What are the most trusted builders in my area?", does the AI platform understand who you are, what you do and why you should be considered?

If the answer is no, traditional search visibility may no longer be enough.

At Gray Matters Advertising, we call this AI Search Optimisation: strengthening the authority, clarity, consistency and digital signals that make a business easier for AI systems to find, understand, assess and potentially cite or recommend.

AI search does not replace SEO

There is already plenty of noise around "GEO", "AEO" and AI optimisation. Some of it is useful. Some of it suggests there is a secret technical shortcut to getting recommended by AI.

There isn't.

Google's own guidance is clear: the fundamentals of SEO still apply to AI Overviews and AI Mode, and there is no special AI schema or additional markup that guarantees inclusion. Google continues to emphasise crawlability, useful original content, good page experience, accurate structured data and clear information.

Microsoft takes a similar position. Bing says the same core crawling, indexing and content-quality foundations that support traditional search also support eligibility for AI-generated experiences and citations.

OpenAI also makes an important point for website owners: a public website can appear in ChatGPT search, but inclusion is not guaranteed. Sites need to allow the relevant search crawler if they want their content to be discoverable and surfaced.

So AI Search Optimisation is not about abandoning SEO.

It is about building on it.

The difference is that we are no longer only asking whether a page ranks for a keyword. We are also asking whether the wider digital footprint gives AI systems enough credible information to understand the business and use it confidently in an answer.

Authority matters more when the answer is being assembled for you

A traditional search engine can present a list of links and leave the user to decide.

An AI answer often does more of the interpretation.

That raises the importance of clarity and evidence.

A business may have a good website but still present an unclear picture online. Its services may be described differently across directories. Important expertise may sit only in PDFs. Media coverage may not be linked back to the business. Staff biographies may be thin. Reviews may be inconsistent. Older information may still be circulating. There may be little independent evidence of what the business is known for.

None of those issues is dramatic in isolation. Together, they can weaken the digital picture of the organisation.

AI Search Optimisation looks at that picture as a whole.

What does the website say? What do credible third-party sources say? Is the business clearly associated with the right services, locations and areas of expertise? Are important claims supported? Can platforms crawl the content? Is the information structured clearly enough to be interpreted? Are there authoritative mentions elsewhere on the web?

The objective is not to manufacture authority. It is to make genuine authority easier to see.

What GMA looks for in an AI Visibility Audit

The starting point is to understand the current position.

GMA tests how a business appears across leading AI platforms using commercially relevant questions a prospective customer might genuinely ask.

We look at whether the business is mentioned, which competitors appear instead, how those competitors are described, which sources are being cited where citations are available, and whether the answers accurately reflect the business's services and market position.

We then examine the digital footprint behind those results.

That can include website content and structure, search visibility, business and directory information, earned media, external citations, reviews and reputation signals, entity consistency, technical accessibility and gaps in useful content.

The result is an Authority Gap Analysis: a practical view of what is missing, inconsistent or underdeveloped and what should be addressed first.

Not every weakness requires a new website or hundreds of new articles. Often the bigger opportunity is to make existing expertise clearer, consolidate inconsistent information, strengthen a small number of important pages and build better third-party authority around the subjects that matter commercially.

PR is becoming part of search again

One of the most interesting changes in AI-led discovery is the renewed importance of earned authority.

For years, SEO, PR, content and reputation were often managed as separate disciplines. AI search makes that division less useful.

A strong independent media article, an authoritative industry listing, a well-supported case study, an expert contribution or a credible external citation can all help create a clearer web of evidence around a business.

That is particularly relevant to GMA because media, PR, positioning and digital marketing have always worked together in our campaigns.

In one commercially confidential retirement living campaign, GMA combined search marketing, social, property media, radio, print and earned media to strengthen both discovery and market positioning. By April 2026, Google Search activity had reached a 12.47 per cent click-through rate, while average cost per click fell to $1.62. Earned media was also used to build credibility around a major construction milestone and reinforce the development's positioning.

That campaign was not an AI Search Optimisation project, and we do not present it as one. The relevant lesson is broader: digital visibility is strongest when search, clear positioning, useful content, third-party authority and consistent messaging reinforce each other.

That same principle sits behind GMA's AI Visibility System.

What businesses should do now

The first step is not producing dozens of AI-written articles.

In fact, mass-producing generic content is one of the least useful responses to this change. Google specifically warns that generating large volumes of content without adding value may breach its spam policies.

A better starting point is to make the business more authoritative and more understandable.

That means ensuring core service pages clearly answer real customer questions; key expertise and proof are visible in text; business information is accurate across important platforms; structured data reflects what is actually on the page; strong case studies and evidence are published where confidentiality allows; PR and thought leadership build genuine third-party references; and outdated or conflicting information is corrected.

It also means monitoring.

AI answers can vary by platform, query, location and over time. No ethical agency can promise that a business will appear in a particular answer or hold a fixed "ranking".

What we can do is strengthen the underlying signals, identify gaps, track visibility and improve the quality of the digital evidence around the business.

That is commercially more useful than chasing a supposed hack.

AI visibility is becoming a business issue

This is not simply another marketing trend.

The way customers discover and shortlist businesses is changing.

Microsoft has already introduced AI Performance reporting in Bing Webmaster Tools, showing website owners when their content is cited across supported AI experiences. Google has also begun developing dedicated reporting around visibility in generative AI search features.

Measurement will improve. Competition will increase. Businesses that begin with strong, credible digital foundations will be better placed than those trying to retrofit them later.

The opportunity now is to understand where your business stands.

GMA's AI Visibility Audit assesses how your organisation appears across major AI platforms, identifies competitors being surfaced, examines the authority and citation gaps behind those results and prioritises practical action.

From there, the GMA AI Visibility System can strengthen the content, authority, consistency, technical accessibility, reputation and third-party signals that support long-term visibility.

The objective is simple.

When a prospective customer asks an AI platform about your market, your business should be easy to find, easy to understand and credible enough to consider.

Find out how visible your business is

If you want to know how ChatGPT, Gemini, Claude, Perplexity and Grok currently see your business and your competitors, start with a GMA AI Visibility Audit.

We will show you where you appear, where you do not, what may be holding you back and which improvements offer the strongest commercial opportunity.

Because being good at what you do is important.

Being visible when the customer asks is becoming just as important.