Blog/Growth Assets/How AI Assistants Choose Businesses to Rec…
Growth Assets Aug 10, 2026·7 min read

How AI Assistants Choose Businesses to Recommend

AI assistants like ChatGPT and Perplexity recommend businesses based on how clearly a website explains what it does and how machine-readable that information is. Learn the concrete criteria and how to check where you stand.

01Why the right choice matters

When someone asks ChatGPT or Perplexity to recommend a project management tool, a local accountant, or a SaaS platform, the assistant does not run a live search and pick the highest-ranked page. It draws on what it already knows about businesses — information it absorbed during training and, in some cases, through real-time retrieval. If your website was not structured in a way that AI systems can parse and cite confidently, your business is unlikely to appear in those answers, regardless of how good your product actually is.

For website owners and growth teams, this is a meaningful gap. Traditional SEO optimizes for crawlers that match keywords to pages. AI visibility optimization is a different problem: it is about whether an AI assistant has enough clear, structured information about your business to include you in a confident recommendation. Businesses that solve that problem early are more likely to be named when buyers ask AI assistants for options. Businesses that do not solve it may be invisible even when their offering is the best fit.

AI Friendly was built specifically for this problem. It helps founders and small marketing teams make their websites easier for ChatGPT and other AI search systems to understand, cite, and recommend — focusing on AI search visibility rather than traditional SEO metrics.

02What to ask before you book

Before you invest time or budget in any AI visibility service, there are a few concrete questions worth asking — both of the service and of your own website.

Does the service scan what AI assistants actually see, or just what search crawlers see? These are not the same thing. A traditional SEO audit will tell you about page speed and backlinks. An AI visibility scan should tell you whether your business description, category, and key claims are structured in formats that AI systems can extract and cite — such as JSON-LD schema or a well-formed llms.txt file.

Can you see where competitors are already appearing in AI results? Knowing which competitors are being cited by ChatGPT or Perplexity for your target queries tells you what the gap actually looks like. Without that baseline, you are optimizing blind.

What does the service produce, not just diagnose? A diagnosis tells you what is broken. A useful service should also generate the fixes — machine-readable files, structured content, or schema markup — that you can actually publish.

Is there a low-commitment way to start? AI Friendly offers a free 30-second AI readiness scan with no signup required, so you can get a concrete picture of your current visibility before committing to anything.

03How to compare providers

The AI visibility tooling market is early, and the quality of what is on offer varies considerably. Here is a practical framework for comparing what you find.

Specificity of the diagnosis. A useful scan should tell you which specific elements of your site are blocking AI comprehension — not just a generic score. Look for tools that surface concrete blockers: missing schema markup, unclear business descriptions, absent llms.txt, or gaps in how your product category is labeled.

Competitor context. A scan that only looks at your site tells you half the story. AI Friendly's competitor-aware diagnosis shows which competitors are appearing in AI results for your relevant queries, so you know what you are up against and where the opportunity is.

Automated fix generation. Identifying a problem and fixing it are two different things. Look for services that generate the actual machine-readable output — such as llms.txt and JSON-LD schema — rather than just writing a report about what you should build.

Platform breadth. AI assistants include ChatGPT, Perplexity, Claude, and others. A tracking tool should monitor citation patterns across platforms, not just one. AI Friendly tracks citations across multiple AI platforms.

Content depth. AI assistants build confidence in a business recommendation partly from how much coherent, consistent content exists about that business. A provider that can analyze your content universe and identify gaps — then generate content assets to fill them — offers more complete coverage than one that only touches technical files.

For more on evaluating specific tool categories, see the AI Friendly guides on how to choose a Claude AI optimization tool and how to choose a free AI visibility assessment tool.

04Proof to review before you decide

AI visibility is a measurable problem, which means the evidence you review before committing should be concrete rather than testimonial.

Run the scan yourself. AI Friendly's free 30-second AI readiness scan requires no signup. The output shows you your current AI readiness posture based on what your site actually contains and how it is structured. That is reviewable evidence you can evaluate on your own terms before making any decision.

Check competitor presence in AI results. AI Friendly's competitor-aware diagnosis surfaces which competitors are currently appearing in AI search results for your relevant queries. Seeing that list is itself a form of proof — it shows you the gap is real and measurable, not theoretical.

Review what gets generated. AI Friendly generates machine-readable outputs including llms.txt and JSON-LD schema automatically. Before committing, it is reasonable to ask any AI visibility service to show you a representative example of the files they produce, so you can evaluate whether the output is publish-ready.

Understand the tracking model. Citation tracking across platforms like ChatGPT and Perplexity means you can monitor whether your visibility changes over time. Ask any provider how they measure progress and what data they show you on an ongoing basis.

For additional context on what AI readiness evaluation looks like in practice, the ChatGPT Readiness section of the AI Friendly blog covers the underlying criteria in more detail.

05What to do next

If you are a founder, a small marketing team, or an agency managing AI visibility for clients, the most useful first step is to get a concrete baseline on where you currently stand — before optimizing anything.

Start with the free AI Friendly scan. It takes 30 seconds, requires no signup, and gives you a real picture of your current AI readiness: what is structured correctly, what is missing, and which competitors are showing up in AI results where you are not.

From there, the path forward depends on what the scan surfaces. If you have structural gaps — missing schema, no llms.txt, unclear business entity descriptions — those are fixable with the right tooling. AI Friendly generates those fixes automatically rather than leaving you to implement a report manually. If you have content gaps, AI Friendly can analyze your keyword and content universe and create content assets grounded in how AI assistants understand your business category.

The goal is not to chase an algorithm. It is to make your business easy for AI assistants to understand, trust, and recommend when the right buyer asks the right question. That starts with knowing where you stand.

See the full AI Friendly sitemap for a complete picture of available tools and resources.

Run your free AI readiness scan: /

07How do I use a ChatGPT visibility checker?

A ChatGPT visibility checker typically works by scanning your website URL and evaluating how well your site's structure, content, and machine-readable files communicate your business identity to AI systems. With AI Friendly, you enter your URL into the free 30-second AI readiness scan — no signup required. The scan assesses whether your site has the elements AI assistants rely on when deciding what to recommend: clear business entity descriptions, structured data like JSON-LD schema, an llms.txt file, and consistent content that matches how buyers describe your category. The results also show which competitors are currently appearing in AI search results for relevant queries, so you can see the gap in context. From there, AI Friendly generates the machine-readable fixes automatically rather than leaving you with a list of manual tasks. The output is publish-ready, meaning you can implement it without needing a developer for every step.

— KEEP READING —
Growth Assets Aug 23, 2026·8 min·AI Friendly Research

AI Search Visibility for Founders and Small Teams

Founders and small marketing teams evaluating AI search visibility tools need concrete criteria, not vague promises. Here is what to ask, how to compare options, and what AI Friendly offers to help you get found in ChatGPT and similar AI systems.

Read →
Growth Assets Aug 22, 2026·7 min·AI Friendly Research

Choosing an AI Visibility Platform

Not sure which AI visibility platform to evaluate? This guide covers the concrete criteria, questions to ask, and proof to review before you commit.

Read →
Growth Assets Aug 20, 2026·10 min·AI Friendly Research

30 Day Content Plan for AI Search

A practical 30 day content plan for AI search visibility — covering what to audit, what to publish, and how to use AI citation tracking to measure progress without guesswork.

Read →