How AI Is Changing the Way Brands Are Discovered

The way people discover organisations and brands is changing.

For years, digital visibility was shaped primarily by search engines. Organisations focused on rankings, website traffic and encouraging audiences to navigate pages and compare options directly.

That behaviour is beginning to shift.

Increasingly, people are asking direct questions through AI tools such as ChatGPT and Perplexity AI and receiving summarised answers rather than lists of links.

In many cases, those answers form a first impression before someone ever visits a website.

Research by Sensu Insight found that 31% of consumers already use AI tools when researching products and services, rising to almost 49% among those aged 25–44. In business environments, 74% of professionals say they now use AI in their role. 

This is changing how organisations are understood, compared and selected.

It also changes what visibility actually means.

The shift from search to summarised answers

Traditional search encouraged exploration.

Users reviewed multiple sources, compared information and formed their own interpretation.

AI discovery environments work differently.

Instead of directing people towards information, AI systems interpret and compress information into a single response.

Those answers are often:

• concise
• confident
• synthesised from multiple sources
• and presented as a version of the “accepted” view

As a result, audiences increasingly form opinions based on summarised interpretations rather than direct engagement with individual websites or content.

This changes how understanding is formed.

AI is influencing decisions earlier than brands realise

The research suggests AI has its greatest influence early in the decision-making process. 

Among business decision-makers:

• 32% say AI has the greatest influence when identifying possible solutions
• 28% say it matters most when comparing options
• only 5% say it has the greatest influence at the final decision stage

This pattern matters.

AI is not necessarily making decisions outright. Instead, it is shaping:

• which brands are discovered
• which providers are explored further
• and which organisations enter consideration at all

A similar pattern exists among consumers.

Around 18% say they have already chosen a product, service or brand based on an AI-generated recommendation, rising to over 35% among younger audiences. 

Brands are now competing to be included in AI-generated answers

This creates a new visibility challenge.

Brands are no longer competing only for clicks or rankings.

They are increasingly competing to be included in the options AI tools surface and describe.

That changes the dynamics of digital visibility.

If a brand is:

• clearly defined
• consistently represented
• and supported by credible external sources

…it is more likely to appear in AI-generated answers.

If information is fragmented, contradictory or weakly supported, the likelihood of being overlooked increases.

Over time, this influences which organisations are considered credible, relevant or trustworthy.

Website traffic is becoming a weaker visibility signal

One of the biggest implications of AI-driven discovery is that website traffic becomes a less reliable indicator of visibility.

Audiences may:

• research options
• compare providers
• form perceptions
• and narrow choices

…without ever visiting a brand’s website directly.

This creates a growing blind spot for organisations relying heavily on traditional analytics.

Search rankings and traffic still matter, but they no longer provide a complete picture of how visibility and consideration are developing.

The more important question is increasingly:

How is your organisation being understood before someone reaches your website?

Why Public Information Environments matter

AI systems do not create narratives from scratch.

They draw from what already exists across the public domain.

This includes:

• websites and owned content
• media coverage
• reviews and forums
• partner references
• social and community discussion
• stakeholder and employee perspectives

Together, this forms what can be described as a Public Information Environment.

AI systems interpret this environment to generate summaries and recommendations.

Where information is:

• clear and consistent
• well evidenced
• aligned across sources

…organisations are easier to understand and more likely to be represented accurately.

Where information is fragmented or inconsistent, the risk of distortion increases.

What this means for organisations

This shift has direct commercial implications.

As AI-generated discovery grows, organisations need to think beyond rankings and traffic alone.

They increasingly need to understand:

• whether they are appearing in AI-generated answers
• how they are being described
• how they compare to competitors
• whether positioning is accurate
• and how this connects to enquiries, consideration and conversion activity

This is not just a communications issue.

It is increasingly tied to brand visibility, commercial performance and competitive positioning.

How we approach this at Sensu Insight

At Sensu, we help organisations understand how they are represented within AI-driven discovery environments providing Generative Engine Optimisation (GEO).

Our approach combines four connected areas:

Public Information Environment analysis

Assessing how organisations are currently described across websites, media coverage, social discussion and third-party references.

This helps identify:

• inconsistencies in positioning
• gaps in information
• and reputational or visibility risks

Content and digital optimisation

Reviewing whether organisations are clearly defined, easy to understand and structured effectively across digital platforms.

This includes:

• improving clarity and consistency
• strengthening key definitions and propositions
• and identifying content gaps compared to competitors

AI visibility and representation tracking

Monitoring how organisations appear within AI-generated answers across priority queries and markets.

This includes assessing:

• visibility
• prominence
• positioning
• sentiment
• source influence
• and accuracy

Ongoing measurement and insight

Tracking how changes in representation influence:

• search behaviour
• digital engagement
• enquiries
• and wider commercial outcomes

This provides a clearer view of how organisations are being discovered, understood and considered in AI-driven environments.

From visibility to consideration

The rise of AI discovery is not simply changing where people search.

It is changing how decisions begin.

Increasingly, organisations are judged before direct engagement takes place, based on how effectively information about them can be interpreted, summarised and compared.

This means visibility alone is no longer enough.

Organisations increasingly need to be:

• clearly understood
• consistently represented
• and credibly positioned

…within the environments shaping modern discovery.

If you are looking to understand how AI-driven discovery is influencing your organisation’s visibility and reputation, a more structured approach can provide a significant advantage.