The internet is changing again.
For years, businesses competed for rankings, clicks and website traffic. Today, customers are increasingly asking AI platforms to research options, compare providers and recommend the best solution.
That shift changes the game.
Traditional search gives users a list of links. AI-powered search can provide one direct answer. Consequently, being on page one may no longer be enough. Your business must be understood, trusted and selected by artificial intelligence.
In this episode of the Hear Me ROAR podcast, Kate and Tobi sit down with Jack Bear, Founder and CEO of Norg AI, to unpack the rise of AI search, agentic commerce and the new rules of digital visibility.
What is the new internet?
The new internet is moving from search-led discovery to answer-led discovery.
Previously, a potential customer might search Google, open several websites and compare businesses manually. Now, they can ask an AI assistant:
- What is the best flexible workspace for a growing team?
- Which accounting platform suits an Australian startup?
- Where should I hold a corporate event in Melbourne?
- Which product offers the strongest value in my category?
The AI platform can research the market, interpret the available information and recommend a shortlist. In some cases, an AI agent may eventually complete parts of the transaction as well.
This emerging environment is often called the agent economy or agentic commerce.
What is agentic commerce?
Agentic commerce is a model in which AI agents help consumers discover, evaluate and potentially purchase products or services.
Instead of simply returning search results, the agent works through the decision. It can assess specifications, pricing, availability, reviews and suitability before presenting a recommendation.
That creates a major commercial question:
When AI is making the shortlist, will your business make the cut?
Norg AI is building infrastructure designed to help businesses become visible, citable and actionable within AI-powered discovery and commerce environments.
As Jack explains, the commercial internet is no longer built exclusively for human visitors. Businesses must also make their information accessible and understandable to the machines influencing those humans.
Traditional SEO is no longer the whole strategy
Search engine optimisation remains important. However, it was developed for a world where people typed keywords into a search engine, reviewed a page of results and clicked a link.
AI search operates differently.
An AI platform may combine information from multiple sources and present a single response. Therefore, the objective is shifting from simply ranking to becoming part of the answer.
| Traditional SEO | AI visibility |
|---|---|
| Optimises for search engines | Optimises for AI models and agents |
| Focuses on rankings | Focuses on citations and recommendations |
| Targets website clicks | Targets inclusion in direct answers |
| Relies heavily on keywords | Relies on entities, context and structured information |
| Measures traffic and position | Measures AI share of voice and citation frequency |
These approaches are complementary. Strong SEO helps content become discoverable, while AI-ready infrastructure helps machines interpret and confidently reference it.
Why businesses risk becoming invisible
A polished website does not automatically make a business understandable to AI.
Information may be unclear, inconsistent or buried inside pages designed primarily for human navigation. An AI system might struggle to determine:
- What the business actually offers
- Which customers it serves
- Where its products or services are available
- What makes the business credible
- How it differs from competitors
- Whether its information is accurate and current
If AI cannot interpret these signals, it may overlook the business completely.
That is the new visibility gap. A company can have a strong product, loyal customers and a beautiful website, yet remain absent when an AI platform recommends providers.
It is the digital equivalent of having a brilliant player sitting on the bench because the coach cannot find their name on the team sheet.
What is AI visibility?
AI visibility describes how accurately and frequently a brand appears across AI-generated answers, comparisons and recommendations.
It is influenced by whether an AI platform can:
- Find the business
- Understand its offering
- verify its claims
- Connect it with the right category
- Trust the available information
- Cite or recommend it confidently
Norg describes this as helping businesses become visible, citable and actionable within AI-powered environments.
The distinction matters. Visibility gets the brand into consideration. Citability gives the model confidence to reference it. Actionability allows an AI agent to interact with the business, product or service.
How Norg AI approaches the problem
Norg works as an AI-facing layer alongside a business’s existing website and content management system.
Human visitors continue to receive the familiar website experience. Meanwhile, AI crawlers and agents can access structured, semantically clear information designed for machine comprehension.
This may include:
- Structured data and schema markup
- Clear question-and-answer content
- Consistent business and product information
- Strong entity relationships
- Machine-readable product details
- Explicit statements about services, audiences and locations
- Signals that strengthen brand credibility
The goal is not to replace the existing website. Instead, it is to make the information behind that website easier for AI systems to understand and use.
From search rankings to AI recommendations
For businesses, the key performance indicators are also changing.
Traditional digital teams monitor rankings, impressions, click-through rates and organic traffic. Those measures still matter, but AI discovery creates an additional set of signals.
Businesses may increasingly track:
- AI citation frequency
- Accuracy of AI-generated brand descriptions
- Share of voice across relevant AI queries
- Traffic originating from AI platforms
- Product inclusion in AI-generated comparisons
- Brand recognition across different AI models
- The consistency of business information across the web
This is a fundamental shift in digital strategy. The question is no longer only, “Where do we rank?”
It is also, “What does AI believe about us?”
Why clear content matters more than ever
AI systems respond best to information that is direct, specific and consistent.
Vague marketing language may sound impressive to a human reader, but it can make a business harder for machines to categorise. Therefore, companies should clearly explain:
- What they do
- Who they help
- Which problems they solve
- Where they operate
- How their product works
- Why their claims are credible
- What makes them different
Frequently asked questions can also play an important role. They connect real customer questions with clear, structured answers that search engines and AI models can interpret.
Clarity is becoming infrastructure.
Which businesses should act first?
AI visibility matters across most industries, but some businesses face greater immediate exposure.
These include:
- E-commerce brands competing for product recommendations
- Professional service firms relying on research-led enquiries
- Technology companies operating in crowded categories
- Multi-location businesses with complex service information
- Startups building authority in emerging markets
- Enterprise brands with large and inconsistent content libraries
- Businesses whose customers compare options before purchasing
Early action can create a compounding advantage. The more consistently a brand is understood and referenced, the stronger its digital authority can become.
How businesses can prepare for AI search
Businesses do not need to abandon their current marketing strategy. However, they should expand it.
1. Audit your current AI presence
Ask leading AI platforms the same questions your customers would ask. Record whether your business appears, how it is described and which competitors are recommended.
2. Clarify your core business information
Make your products, services, audiences, locations and differentiators explicit. Avoid forcing visitors or machines to piece the story together.
3. Strengthen structured content
Use logical headings, FAQs, schema markup and consistent terminology. This helps AI systems identify the questions each page answers.
4. Check brand consistency
Your website, directories, social profiles and third-party listings should communicate the same facts. Conflicting information weakens confidence.
5. Create content around customer decisions
Go beyond broad thought leadership. Publish useful answers to the comparison, pricing, suitability and implementation questions customers ask before buying.
6. Measure AI share of voice
Monitor whether your business appears in relevant AI responses and how that visibility changes over time.
7. Prepare for AI-led transactions
Consider whether an AI agent could understand your availability, pricing, specifications and purchasing process. Discovery is only the first step. Actionability is where the commercial opportunity grows.
The leadership conversation businesses need now
AI visibility is not simply a marketing issue.
It touches technology, content, brand strategy, commerce and customer acquisition. Consequently, leadership teams must decide who owns it, how it will be measured and where it fits within the broader growth strategy.
The businesses that move early will have time to test, learn and build authority. Those that wait may discover that competitors have already become the default recommendations inside the platforms shaping customer decisions.
That is the central theme of Jack Bear’s conversation with Kate and Tobi.
The next internet is not waiting for businesses to catch up.
Watch Jack Bear on Hear Me ROAR
In this episode, Jack Bear joins Kate Save and Tobi Skovron to explore how AI is changing search, commerce and the way businesses are discovered.
The conversation covers:
- Why traditional SEO is no longer enough
- How AI-powered discovery is changing customer behaviour
- What agentic commerce means for businesses
- Why some brands could become invisible
- How companies can improve their AI visibility
- What leaders should do now to prepare
Watch The New Internet Is Here and Most Businesses Aren’t Ready on the Hear Me ROAR podcast.
FAQs
What is AI visibility?
AI visibility is the degree to which a business is accurately represented, cited and recommended by AI platforms. It depends on whether AI systems can find, understand and trust the available information about the brand.
Is AI visibility the same as SEO?
No. SEO primarily improves visibility within traditional search results. AI visibility focuses on helping artificial intelligence platforms understand and reference a business within direct answers and recommendations. However, the two strategies support each other.
What is generative engine optimisation?
Generative engine optimisation, commonly called GEO, is the process of structuring and improving content so that generative AI platforms can interpret, cite and include it in their answers.
What is agentic commerce?
Agentic commerce involves AI agents assisting with product discovery, evaluation and transactions. An agent may compare providers, assess suitability and recommend or purchase an option on behalf of a user.
Will AI replace traditional search engines?
Traditional search is unlikely to disappear immediately. However, AI-generated answers are changing how people research products, compare businesses and make decisions. Companies should prepare for both search-led and AI-led discovery.
How can a business improve its visibility in ChatGPT?
A business can improve its chances by publishing accurate, specific and structured information. Strong entity signals, relevant FAQs, schema markup, authoritative content and consistent business details can help AI systems understand the brand.
Does a business need to rebuild its website for AI search?
Not necessarily. Platforms such as Norg are designed to work alongside existing websites and content systems, adding an AI-readable layer without replacing the human-facing experience.
Who is Jack Bear?
Jack Bear is the Founder and CEO of Norg AI. He works at the intersection of AI infrastructure, digital discovery and agentic commerce, helping businesses prepare for an internet increasingly navigated by AI agents.
Get ready to ROAR, Enjoy the Pod 🎧