How AI
recommends businesses
ChatGPT names one plumber but ignores another. Gemini recommends estate agent A but says nothing about estate agent B. That is not random. AI systems use concrete signals to decide which businesses are trustworthy enough to recommend. This article explains exactly which factors matter and how the mechanism works.
1-3
businesses named per AI answer
11%
source overlap between AI platforms
5+
signals AI uses per recommendation
98%
of UK users verify AI recommendations
How does the recommendation mechanism work?
AI does not have a list of approved businesses. There is no directory it consults. Instead, it assembles its answer from the information it can find about you online. Every time someone asks a question, the AI searches, evaluates and composes a fresh answer.
This is important to understand: AI answers are not fixed. Ask ChatGPT "Who is a good accountant in Birmingham?" today and you might get three names. Ask again tomorrow and you might get two different ones. The AI draws from slightly different sources each time and weighs the available evidence differently. That variability makes consistent online presence even more critical.
The mechanism has two parts. First, the AI decides whether to mention any business at all. If the question is too general or there is not enough evidence, it gives a generic answer without names. Second, if it does mention businesses, it selects based on which ones have the strongest evidence of being trustworthy, relevant and active.
The AI recommendation process
Understand the question
What is the user looking for? Location, service type, budget, urgency.
Search for evidence
Scan training data and live web results for matching businesses.
Evaluate trustworthiness
Reviews, mentions, authority, consistency, freshness of information.
Compose the answer
Select 1-3 businesses with strongest evidence and present them in context.
The 7 factors AI uses to choose businesses
Based on how AI systems work and what patterns we observe, these are the factors that determine whether your business gets recommended.
Multi-platform presence
AI trusts businesses that are mentioned across multiple independent sources. Your website, Google Business Profile, Trustpilot, LinkedIn, trade directories. The more consistent mentions, the stronger the signal.
Reviews and ratings
Reviews are among the strongest signals. Recent reviews matter more than old ones. Trustpilot and Google Reviews carry particular weight in the UK. A business with 50 recent reviews outperforms one with 200 reviews from three years ago.
Content quality and depth
AI favours businesses that demonstrate expertise through content. FAQs, articles, guides, case studies. Content that answers specific questions directly is more likely to be cited than generic marketing copy.
Consistency of information
Your business name, address, phone number and description must match everywhere. Conflicting information makes AI uncertain. Uncertain AI does not recommend.
Authority and credentials
Professional accreditations, industry memberships, media mentions, guest articles. Being listed on the FCA register, Law Society directory, RICS or a trade body tells AI you are legitimate.
Freshness and activity
AI prefers businesses that show recent activity. Recent blog posts, recent reviews, updated service pages. A website last updated in 2022 sends the wrong signal.
Structured data
Schema markup (LocalBusiness, FAQPage, Service) makes it easier for AI to understand your website. It removes ambiguity and gives the AI machine-readable facts about your business. More on this in our guide on why structured data matters for AI.
How each platform weighs these factors differently
Not every AI platform uses the same sources. Research shows only 11% overlap in sources between different AI platforms answering the same question. That means a business visible on ChatGPT might be invisible on Gemini, and vice versa.
This is why monitoring your visibility across all platforms matters. A solicitor in Edinburgh might be recommended by Gemini (because of strong Google reviews) but ignored by ChatGPT (because of thin website content). Understanding where you are visible and where you are not tells you exactly where to focus your efforts.
Platform priorities
Training data + Bing web search. Values consensus across multiple sources. If several websites agree your business is good, it recommends you.
Google ecosystem first. Business Profile, Maps, Reviews, Shopping. The strongest platform for local businesses with good Google presence.
Content quality and depth. Rewards detailed, well-written information. Particularly good at recognising genuine expertise vs. marketing fluff.
Live Google search results. Most similar to traditional SEO rankings. If you rank well on Google, you have a head start here.
More details: What are AI search engines?
Does AI recommend your business?
VestVale checks all 4 major AI platforms automatically. See exactly where you are mentioned, how often, and what AI says about you.
How this works in practice for UK businesses
Example: a local plumber in Leeds
Plumber A has a basic website with contact details. No Google reviews. No Checkatrade profile. No content. When someone asks ChatGPT "Who is a good plumber in Leeds?", plumber A does not exist.
Plumber B has 75 Google reviews (4.7 stars), a Checkatrade profile with verified feedback, a website with a FAQ section about common boiler problems, and a Google Business Profile with photos and service descriptions. ChatGPT has multiple independent signals that plumber B is trustworthy and competent. Plumber B gets recommended.
Example: an online retailer
An online homeware shop has hundreds of products but no blog, no buying guides and no FAQ section. When someone asks Perplexity "What is the best place to buy curtains online in the UK?", the shop is invisible. A competitor with detailed buying guides, Trustpilot reviews and product comparison articles gets cited. Content that answers buying questions directly drives AI recommendations for e-commerce.
Example: a solicitor in Manchester
A solicitor registered with the Law Society, with a detailed website covering employment law topics, 40 Google reviews, and articles published in legal trade publications. When ChatGPT is asked "Who is a good employment solicitor in Manchester?", this firm has strong signals across all factors: authority (Law Society, publications), reviews (Google), content (employment law articles) and consistency (matching information everywhere).
The common thread
In every example, the business that gets recommended is not necessarily the biggest or the best. It is the one with the most visible, consistent, verifiable online presence. AI can only recommend what it can find. If the evidence is there, you get mentioned. If not, you do not exist in AI.
AI does not judge quality directly. It judges evidence of quality. Reviews, mentions, content, credentials. The businesses with the strongest evidence get recommended.
What you can do to get recommended
Getting recommended by AI is not about gaming a system. It is about making sure AI can find enough trustworthy evidence about your business. The steps are straightforward:
- Complete your Google Business Profile with photos, services, description and categories
- Collect reviews actively on Google and Trustpilot
- Write content that answers questions your customers actually ask
- Get listed on industry directories and professional bodies
- Keep your information consistent across all platforms
- Add structured data to your website (LocalBusiness, FAQPage, Service)
The order matters. Start with the highest-impact actions first: Google Business Profile and reviews. These take the least effort and have the biggest effect on AI visibility, especially for Gemini. Then move to content (FAQs and articles) and finally structured data.
For a complete step-by-step guide, read our article on how to get visible in ChatGPT.
To understand why your competitors might already be getting recommended while you are not, read why AI mentions your competitors and not you.
Frequently asked questions
Does AI always recommend the same businesses?
No. AI answers vary between sessions. The same question can produce different recommendations each time. This is because AI draws from slightly different sources and weighs evidence differently in each response. Consistent monitoring over time gives you a true picture of your visibility.
Can I influence which businesses AI recommends?
You can influence your own visibility but not directly control it. There is no advertising model in AI answers. Focus on building the strongest evidence base: reviews, content, consistency and authority. The businesses with the most evidence get recommended most often.
Do bigger businesses have an advantage?
Not necessarily. Large companies often have generic websites and outdated information. A sole trader with 60 recent Google reviews and a content-rich website can outperform a national chain in AI recommendations. AI rewards evidence quality, not business size.
How long does it take for changes to affect AI recommendations?
It varies. New Google reviews can affect Gemini recommendations within days. Website content changes can take weeks to months to appear in ChatGPT's web search results. Training data updates happen less frequently. Consistent effort over 3-6 months produces the most reliable improvement.
Is this the same as traditional SEO?
Related but different. SEO focuses on ranking in Google search results. AI visibility focuses on being recommended in AI-generated answers. Good SEO helps with AI visibility, but AI also values factors that traditional SEO does not prioritise: review volume, multi-platform mentions and answer-format content.
How do I track whether AI recommends my business?
Manually test by asking relevant questions in ChatGPT, Gemini and Perplexity. For ongoing tracking, use an AI visibility tracker that automatically monitors all platforms and shows trends over time.
Find out if AI recommends your business
VestVale monitors ChatGPT, Gemini, Claude and Google AI automatically. See your recommendations across all platforms.
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