How do AI tools decide which businesses to recommend?

29

May

,

2026

(Updated on

May 29, 2026

)

Author: Georgia Hull

Georgia Hull

How do AI tools decide which businesses to recommend?

AI tools recommend businesses they can clearly understand, explain and trust.

They do not select websites in the same way Google ranks search results. Instead, they look for clear service information, useful answers, strong website structure and proof that the business knows what it is doing.

If your website is vague, hard to interpret or missing key answers, AI tools may recommend a competitor instead - even if your business is a good fit.

Improving your website for AI discoverability helps AI tools understand when to mention your business, what you offer and who you are best suited to help

Why is your business not being recommended by AI tools?

Your business may not be appearing in AI recommendations because your website does not make your expertise clear enough.

This often happens when:

  • Your services are explained too broadly
  • Your website does not answer the questions buyers are asking
  • Your pages are not structured in a clear, easy-to-read way
  • Your proof, case studies or authority signals are too light
  • AI tools cannot quickly understand who you help and what problems you solve

AI tools need clear information to work with.

Why AI May Skip Your Business

Who needs to improve their website for AI discoverability?

AEO and AI discoverability are useful for businesses that want to be found, understood and recommended by AI tools.

This includes:

  • Service-based businesses
  • Ecommerce brands
  • Agencies
  • Marketing teams
  • Businesses already investing in SEO
  • Businesses running paid ads
  • Businesses that rely on their website to generate leads or sales

If people are starting to ask ChatGPT, Perplexity, Gemini or other AI tools for recommendations in your category, your website needs to be easy for those tools to understand.

Who Needs AEO

What problems does AEO help solve?

AEO helps fix the gaps that stop AI tools from confidently recommending your business.

The most common problems include:

  • Your business is not mentioned in AI-generated answers
  • Competitors are being recommended instead
  • Your services are unclear or too generic
  • Your website does not answer high-intent buyer questions
  • Your expertise is not supported by enough proof
  • Your website structure makes it hard for AI to interpret your offer

The goal is not just to increase visibility. The goal is to make your business easier to understand, easier to trust and easier to recommend.

What AEO Helps Fix

What does AI look for before recommending a business?

AI tools usually assess four key areas before deciding which businesses to mention.

1. Can AI clearly understand your service?

AI tools need to quickly understand:

  • What you do
  • Who you help
  • What problem you solve
  • What outcomes you create
  • Whether your business is relevant to the question being asked

If this information is unclear, buried or written in vague language, your business is less likely to be selected.

A strong AEO page explains your service clearly at the top of the page, then supports it with more detail below.

2. Does your website answer real customer questions?

AI tools favour content that gives direct, useful answers.

This includes:

  • FAQs
  • Service page answers
  • Blog posts
  • Comparison content
  • Process explanations
  • Pricing and fit information
  • Outcome-based content

For example, a buyer may ask:

  • “Which agency can help with ecommerce email automation?”
  • “Who can migrate my CRM without losing customer data?”
  • “What digital marketing agency can help improve lead quality?”
  • “How do I choose a Klaviyo partner?”

If your website answers these types of questions clearly, AI tools have more useful information to draw from.

3. Is your website structured in a way AI can interpret?

AI tools need structure to understand your content.

AEO-friendly pages usually include:

  • Clear headings
  • Short paragraphs
  • Plain English explanations
  • Internal links between related pages
  • FAQs on key service pages
  • Schema markup where relevant
  • Consistent service descriptions across the site

Good structure helps both people and AI tools understand what each page is about.

4. Does your website show enough authority?

AI tools are more likely to recommend businesses that show clear signs of expertise and trust.

Authority signals can include:

  • Case studies
  • Client results
  • Author bios
  • Clear service experience
  • Reviews or testimonials
  • Industry-specific content
  • Consistent mentions across the website
  • Proof of work across relevant platforms

For example, if your agency says it works across CRM, ecommerce and paid media, your website should support that claim with clear service pages, examples, outcomes and relevant content.

What outcomes can AEO create?

When your website is structured for AI discoverability, it becomes easier for AI tools and potential customers to understand your business.

This can help:

  • Increase your chances of being recommended in AI tools
  • Improve the quality of traffic coming to your website
  • Make your positioning clearer
  • Help buyers understand why your business is relevant
  • Support SEO and paid media activity
  • Improve conversion quality from high-intent leads

AEO is not just about visibility. It is about making sure the right buyers understand your value faster.

What is included in improving a website for AEO?

Improving a website for AEO usually involves refining the way your content is written, structured and supported.

This can include:

  • Rewriting service pages so they answer buyer questions clearly
  • Adding FAQs to key pages
  • Improving headings and page structure
  • Creating blog content around high-intent AI search questions
  • Adding internal links between related services and resources
  • Implementing schema markup
  • Strengthening proof, case studies and authority signals
  • Clarifying who each service is for and what problem it solves

The aim is to make your website easier for AI tools to read, categorise and recommend.

Why work with Walk Digital on AEO?

Walk Digital approaches AEO as a visibility and conversion problem.

That means the goal is not just to help your business appear more often. The goal is to help the right people understand your services and take action.

Walk Digital works across:

This means AEO improvements can be connected to the parts of your marketing that directly affect revenue, not just traffic.

Your website needs to be discoverable, but it also needs to convert the people who find it.

What should you do if AI tools are not recommending your business?

If your business is not being recommended by AI tools, the issue is usually not one single page or keyword.

It is usually a combination of clarity, structure, question coverage and authority.

An AEO Audit shows how AI tools are likely to interpret your website, where your content is unclear and what needs to be fixed.

If you want to improve how your business appears in AI recommendations, start by reviewing whether your website clearly answers:

  • What do you do?
  • Who do you help?
  • What problems do you solve?
  • Why should your business be trusted?
  • What proof supports your claims?

The clearer these answers are, the easier it is for AI tools to understand and recommend your business.

FAQ

What do AI tools look for when recommending businesses?

They prioritise clarity, structure, and credibility.

How is this different from SEO?

SEO focuses on rankings. AI focuses on understanding and recommending.

Can small businesses be recommended?

Yes, if their content is clear and structured.

How long does it take to improve?

Changes can start impacting visibility within weeks.

Do backlinks still matter?

Yes, but clarity and content structure are equally important.

Can we fix this internally?

Yes, if you know what to prioritise.

Georgia Hull

Co-Founder

Georgia is a marketer with over 15 years specialising in automation, driving revenue and brand awareness. Achieving growth by implementing strategies designed to drive customers to action from first contact along a journey through repeat purchase then on to passionate advocacy. She has experience working in challenging industries delivering consistent increased revenue and profits, with a focus on exceeding targets.

Specialties: Digital Advertising, marketing automation, segmentation and personalisation, content strategy, customer nurture, customer journey mapping, digital strategy, conversion tracking, database acquisition, CRM, process management, analytics.


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