How to Get Your Business Recommended by AI (Not Just Ranked on Google)

Your business could rank #1 on Google and still be invisible.

Not because Google stopped working. Because a growing share of the people who used to Google "who should I hire for X" are now asking ChatGPT, Perplexity, or Google's own AI Overviews instead, and none of those tools care about your keyword ranking. They care about whether they can confidently answer a question with your name in it.

That is a different problem than SEO. This guide covers what it actually takes to solve it.

What is AI search optimization?

AI search optimization is the practice of making your business easy for AI models to find, understand, and confidently recommend when someone asks a question your business answers, rather than optimizing purely for search engine rankings.

You will see this discipline called a few different things depending on who is writing about it:

• GEO (Generative Engine Optimization), the term most commonly used for optimizing content to appear in AI generated answers like Google's AI Overviews
• AEO (Answer Engine Optimization), a similar term focused on structuring content to directly answer questions, used interchangeably with GEO by most practitioners
• AAIO (Agentic AI Optimization), the term we use at Malvorah, specifically for optimizing to be found and recommended by autonomous AI agents making a decision on someone's behalf, not just answering a question

The underlying goal across all three is the same. An AI system needs to be able to extract what you do, verify it is true, and feel confident enough to say your name.

Why ranking on Google no longer guarantees you are found

Traditional SEO optimizes for a ranking position, because a human being scans a list of ten blue links and clicks one. That entire mechanic assumes a human is doing the scanning.

An AI agent does not scan ten links. It reads across dozens of sources, synthesizes an answer, and gives the person one response, usually with two or three named options, not ten. If your business is not one of those two or three, ranking eighth on Google's actual results page does not matter, because nobody using an AI agent ever sees that page at all.

This is not a future problem. It is already reshaping how people search for services, contractors, software, and advice, particularly among people comfortable using ChatGPT or Perplexity as a default research tool instead of a search engine.

A quick example

Say there is a small accountancy firm called Ledger & Co, serving small businesses in Manchester. Their homepage opens with "We believe every business deserves financial clarity and a partner who cares," followed by a photo of the team and a contact form further down the page.

Ask an AI model "best accountant in Manchester for a small business switching to a limited company," and Ledger & Co will likely not come up, not because they are not good at the job, but because nothing on their site states plainly who they serve, what they specialize in, or offers any evidence to check.

Now compare that to a competitor whose homepage opens with "We help Manchester sole traders switch to limited company status, handling the paperwork, tax registration and first year accounts," followed by three short case studies with real numbers and a link to their reviews on Google and an accountancy directory.

Same service, same city, same team size. One is written to be understood at a glance by a human or a machine. The other reads well in a pitch meeting but gives an AI model nothing solid to extract. That difference alone often decides which one gets mentioned.

How AI models actually decide who to recommend

AI search tools generally work by retrieving relevant content from the web, often via their own search index or a connected search API, then synthesizing an answer from what they find. Whether your business gets mentioned depends on a few things.

1. Whether your content is extractable. If an AI cannot quickly and confidently identify what you do from your own website, it is far less likely to cite you, even if you are technically relevant. Vague, marketing heavy language that requires inference, such as "we help businesses unlock their potential," is much harder to extract a clear answer from than a direct statement like "we run AI capability workshops for UK SMEs."
2. Whether you have citable proof. AI models, particularly ones designed to reduce hallucination, tend to favor content backed by verifiable claims, data, or third party validation over unsupported assertions. A results page full of adjectives with no evidence behind them gives a model nothing to cite.
3. Whether you appear in multiple, independent sources. Being mentioned only on your own website is a weaker signal than being mentioned on your site, in a review, in a directory, and in a comparison article somewhere else. AI models triangulate the way a careful researcher would. They trust things that show up in more than one place.
4. Whether your content is structured for extraction. Clear headings, direct answer paragraphs, FAQ sections, and structured data all make it easier for an AI system to lift a clean, accurate answer from your page instead of skipping you because your point was buried in the fourth paragraph of a story style introduction.

The 3 question audit

Before changing anything, find out where you actually stand. This takes about ten minutes. Try it on Ledger & Co's homepage above, or your own.

Question 1: Extraction. Can an AI say what you do in one sentence?

Read your own homepage as if you had never heard of your business. Could you summarize what you do, in one plain sentence, without having to infer or guess? If it takes three scrolls and a "read more" click to explain your own core offer, an AI system will struggle with it too, and will often default to a competitor whose homepage says it plainly in the first line.

Question 2: Proof. Is your evidence somewhere an AI can actually use it?

Case studies buried in a PDF, testimonials only visible in a carousel that requires JavaScript to load, or results only mentioned in a sales call, none of that is visible to an AI model reading your site. If your best proof is not in plain, crawlable text on the page, it does not exist as far as AI search is concerned.

Question 3: Presence. Does an AI actually mention you?

This is the test that matters most, and it takes two minutes. Open ChatGPT, Claude, or Perplexity. Ask the question your own customer would actually ask, not your brand name, just the problem they are trying to solve. For example:

• "Who should I hire for a website rebuild in the UK?"
• "Best accountant for a small business switching to a limited company?"
• "Which agency should I use to run Facebook ads for a local shop?"

See if you are mentioned. If you are not, that is not a ranking problem you can see on a dashboard anywhere. It is a silent gap, and most businesses have no idea it exists because nothing tells them.

How to actually fix each gap

Fix extraction problems by rewriting for clarity, not cleverness. Put a direct, specific sentence describing what you do near the top of your homepage, above the fold, in plain language. Save the clever brand voice for elsewhere on the page.

Fix proof problems by moving evidence into plain text. Case studies, results, and testimonials should exist as readable text on your site, not only as images, embedded videos, or PDFs. If a number matters, such as results, timelines, or client counts, state it in a sentence a model can lift directly.

Fix presence problems by earning mentions beyond your own site. Review platforms, industry directories, comparison articles, guest posts, and press mentions all contribute to the multi source pattern AI models look for. This is closer to traditional PR and digital PR than classic link building. The goal is genuine, independent mentions, not manufactured backlinks.

Add structured data. FAQ schema, Organization schema, and Product or Service schema all give AI systems, and traditional search engines, an explicit, machine readable version of your key facts, reducing the chance of misinterpretation.

Keep a genuine FAQ section on key pages. Question and answer format is exactly the shape AI search tools are built to extract and cite. A well written FAQ section does double duty. It helps human visitors and gives AI models a clean, quotable answer.

FAQ

• Is AI search optimization different from SEO?+

  They overlap but are not identical. SEO optimizes primarily for search engine ranking positions that a human scans. AI search optimization focuses on whether an AI system can confidently extract, verify, and cite your business when synthesizing an answer, which depends more on clarity, structure, and multi source proof than on backlink volume or keyword density alone.
• Do I need to abandon traditional SEO?+

  No. Good SEO fundamentals, fast pages, clear structure, relevant content, still matter and often overlap directly with what helps AI extraction. Think of AI search optimization as an additional layer on top of SEO, not a replacement for it.
• How do I know if I am being recommended by AI tools right now?+

  Run the presence test above. Ask ChatGPT, Claude, or Perplexity the exact question your customer would ask, using their language, not your brand name. Do this periodically, since AI models' training data and retrieval sources update over time and results can change.
• Does this apply to small, local businesses too?+

  Yes, arguably more so. Local service businesses often have thin, generic websites that are hard for any system, human or AI, to extract clear information from. A plumber with a clear, specific homepage and real reviews on multiple platforms will out compete a plumber with a vague "about us" page and no visible proof, in AI search exactly as in traditional search.
• How long does it take to see results?+

  Because AI search relies partly on retrieval from current web content and partly on models' training data, which updates less frequently, some changes show up within weeks, particularly retrieval based improvements like added FAQ content or structured data. Others, especially anything dependent on a model's training cutoff, take longer to reflect. Consistency matters more than speed here.

Where to start

Most businesses fail the presence test without realizing extraction and proof are the reason why. Fixing this is not a redesign. It is usually a handful of specific, fixable gaps, a vague homepage sentence, evidence trapped in a PDF, or simply never having been mentioned anywhere except your own site.

The fastest way to find out exactly where those gaps are, alongside the rest of your growth picture, is a straight, honest read across your whole business, not just this one piece of it.

Take the free 5-minute Growth Scan

Related reading: What Is Growth Intelligence? and Best AI Tools for Startup Founders 2026