For most businesses, AI has become the default answer to almost every growth challenge. Need more content? Use AI. Want to scale marketing? Add AI. Looking for productivity gains? There’s a tool for that.

The pressure is constant. Investors ask about AI strategy. Competitors announce new capabilities. Software vendors promise exponential returns.

But here’s the thing: most businesses aren’t underperforming because they lack AI. They’re underperforming because they’re applying it in the wrong places, ticking boxes rather than prioritising impact.

The real opportunity is both bigger and more specific than most businesses realise. And it plays out on two distinct fronts.

Two fronts, one strategy

AI creates value externally; in the landscape your customer navigates when making decisions, and internally, in how efficiently and intelligently you compete. Most businesses are only playing on one front, or neither. The ones pulling ahead are playing on both.

The external shift: same customer, completely different world

Your customer is fundamentally the same person they were pre-AI. What has changed, dramatically, is the environment they inhabit when making decisions.

The purchase funnel has effectively collapsed. Customers now research, compare, and buy in a single sitting, sometimes without ever visiting your website. Voice assistants, AI-generated search summaries, and recommendation engines pre-filter options before a customer actively engages. You’re no longer just competing for human attention; you’re competing to influence the layer between your brand and the customer.

What is GEO, and why does it matter?

Generative search tools surface brands based on credibility, consistency, and whether you’re cited in places those systems treat as authoritative; specialist communities, review platforms, structured content. Optimising for AI-driven discovery (sometimes called Generative Engine Optimisation, or GEO) is already a competitive battleground.

For most businesses, this remains largely unaddressed. Which is precisely why it’s an opportunity.

Where AI earns its place internally

Most early AI adoption has followed a predictable pattern: more content, smarter dashboards, internal productivity tools. None of it is inherently wrong, but most of it doesn’t move the economics of a business.

A useful filter before committing to any AI initiative: will this increase revenue, reduce marketing waste, or accelerate decision-making in a meaningful way? If the answer is no across all three, it’s a distraction rather than a lever for growth.

Here are the internal use cases that consistently deliver.

1. Start with the right foundation

AI amplifies whatever sits underneath it. If your data is inconsistent, your tracking unreliable, and accountability for outcomes unclear, AI will scale those weaknesses as efficiently as it scales your strengths.

The businesses seeing real returns aren’t experimenting with dozens of disconnected tools. They’re applying AI to clearly defined problems, with clean first-party data underneath, clear attribution between marketing activity and commercial outcomes, and human oversight built into workflows from the start.

2. Retention: the quiet multiplier

Acquisition dominates attention because it’s visible. But in a world where a competitor is one AI recommendation away, the customer you already have is your most valuable asset.

Most businesses only spot churn signals after it’s too late; segments refreshed periodically, email flows built once and rarely revisited. When AI is deployed properly here, it monitors behavioural signals continuously: detecting early churn risk, identifying high lifetime value potential, and adapting communication based on what people are actually doing.

Small improvements compound quickly. Even modest gains in repeat purchase rate or subscription length can meaningfully shift lifetime value, cash flow visibility, and confidence in acquisition spend.

3. Eliminating marketing waste

Most businesses significantly underestimate how much of their budget quietly underperforms. Blended ROAS can look stable while beneath the averages, inefficiencies build: audience segments in decline, creative fatigue setting in early, channels hitting diminishing returns while spend stays unchanged.

AI can shorten the optimisation cycle significantly, analysing performance across segments and behaviours rather than just channels, flagging underperformance earlier, reallocating spend without waiting for the next planning review.

4. Accelerating decisions

Most growing businesses already collect significant data. The bottleneck isn’t collection per se, it’s interpretation, and the speed at which insight translates into action.

An effective AI layer connects systems and surfaces what matters now: anomalies as they emerge, trends before they become problems, modelled scenarios before decisions are finalised. In subscription and SaaS businesses particularly, teams are shifting from monthly reporting cycles to near real-time commercial awareness, catching underperforming cohorts within days rather than at month-end.

The partners you choose matter more than ever

When a customer can move from discovery to purchase in a single session, or have an AI agent make that purchase on their behalf, the traditional separation between marketing and sales breaks down. The smarter frame is demand: who is responsible for generating and capturing it, end to end?

The agencies and partners worth investing in offer more than services. They bring proprietary platforms, commercially-oriented solutions, and genuine agility to move as fast as the landscape is shifting. The ones to be wary of are selling last cycle’s solution with an AI badge attached.

Start and end with the customer

The world your customer inhabits has changed fundamentally. Not who they are, but where they are, how they discover, and how they decide. That demands a response in how you build presence, earn trust, and show up in the moments and systems that now shape choice.

Separately, AI offers a genuine opportunity to run your business better in service of that same customer: identifying who’s at risk of leaving before they go, eliminating budget that was never working, and making faster decisions with the data you already have.

The businesses winning right now are clear on both. They understand the new landscape their customer is navigating, and they’re deploying AI against the specific internal problems that stop them from competing in it effectively.

This article by Sarah Ashdown, Director at Manifesto Growth Architects, first appeared in Entrepreneur Handbook.