Is AI recommending your business? How to measure and improve your AI search visibility

15/09/2026 16:05:31

For years, businesses have measured search visibility through rankings, traffic, clicks and conversions. But the way people find information is changing.

Increasingly, potential customers are asking AI tools questions such as “Who are the leading manufacturers of…?”, “What should I consider when choosing…?” or “Which companies provide…?” The answer may come from several sources, with the AI platform summarising the information rather than simply presenting a list of website links.

That creates a new challenge for businesses: how do you know whether your brand is visible in AI search, and whether that visibility is actually helping your marketing and sales efforts?

The answer is not simply to run a few searches in ChatGPT and see whether your company appears. AI search visibility needs to be benchmarked, measured and tracked systematically.

Start with a proper baseline

The first step is to establish what your AI search visibility looks like today. That means creating a structured set of prompts based on the questions your customers and prospects might actually ask. These should use natural language rather than simply replicating traditional SEO keywords.

For a building products manufacturer, for example, this might include:
“What are the best materials for improving the energy efficiency of commercial buildings?”
“Which manufacturers supply high-performance glazing in the UK?”
“What should architects consider when specifying laminated glass?”
“Who are the leading suppliers of [product]?”

For a professional services business, the questions could focus on expertise, problems and purchasing decisions:
“What should a construction company look for when choosing an HR consultancy?”
“Who are the leading employment specialists for manufacturing businesses?”
“What are the biggest HR challenges facing UK manufacturers?”

The important point is to include both branded and non-branded prompts.

Branded searches tell you whether an AI platform understands and accurately represents your business when someone is already looking for you by company name. Non-branded searches are arguably more revealing because they test whether your business enters the conversation when the customer has a need but has not yet chosen a supplier.

And don't rely on a single search. AI-generated answers can vary between platforms and between individual searches. Recent research has highlighted substantial variation in the sources selected by different search systems, as well as variation between repeated runs of the same query.

Your benchmark therefore needs scale. Run a meaningful number of prompts across the AI platforms that matter to your audience, repeat them over time and record the results consistently. Clear the cache between searches where possible, so previous searches or personalisation do not inadvertently influence the results.

There is no universal AI search ranking. Your objective is to establish a reliable baseline against which future performance can be measured.

What should you measure?

We recommend looking at five core areas.

1. Non-branded visibility

The first question is simple: Are you showing up in the conversation? If someone asks an AI platform to recommend suppliers, manufacturers, consultants, products or services in your sector, does your business appear?

This is particularly important for B2B organisations because the question may not be directly transactional. A prospective customer could be researching a problem, comparing approaches or asking for advice long before they are ready to contact a supplier.

A business that consistently appears in these conversations has an opportunity to influence consideration before a conventional website visit ever happens.

2. Citations: where is the AI getting its information?

Being mentioned is useful. Understanding why you are being mentioned is much more valuable. Record the websites and sources that AI platforms cite when discussing your business, products, services and sector.

Are they citing your own website? Trade publications? Industry bodies? News coverage? Customer reviews? Competitors? Blogs?

Then look at what those sources are actually saying. AI search platforms can provide links to the sources underpinning their answers.

This is where PR becomes particularly interesting. A company may have an excellent website but still be poorly represented in AI search if there is little independent evidence about it elsewhere online. Conversely, consistent coverage across reputable trade media, industry websites, associations and other third-party sources can help build a much stronger digital footprint.

Recent analysis of AI citations also suggests that citation behaviour varies significantly by industry and platform, reinforcing the need to look beyond a single source or search engine.

3. Competitive mentions

Your benchmark should not exist in isolation. Track the same prompts for your key competitors. If an AI platform repeatedly recommends three competitors but never mentions your business, that is a visibility gap. More importantly, it gives you a starting point for understanding what those competitors are doing that you are not.

Look at:
•   Which questions trigger competitor mentions?
•   Which sources are being cited?
•   What expertise or credentials are being attributed to competitors?
•   What products or services are being associated with them?
•   Which topics do they appear to own?

This turns AI visibility benchmarking into a practical content strategy. Instead of producing more content simply for the sake of it, you can identify specific gaps and create content designed to address them.

4. Accuracy and reputation

Visibility on its own is not enough. What happens when an AI platform gets your business wrong?

AI systems can produce confident answers that contain inaccurate, incomplete or outdated information. OpenAI itself acknowledges that AI-generated answers can contain errors and recommends verifying important information.

For businesses, this creates a potential reputation issue. Your benchmarking should therefore check whether information about your organisation is:
•   Accurate
•   Current
•   Consistent
•   Complete
•   Positive and representative of your value proposition

Look particularly closely for incorrect product specifications, outdated company information, inaccurate claims about your expertise or misleading descriptions of your services.

An inaccurate answer isn't simply an SEO problem. If a prospective customer is using AI to research your business, it can become a communications and reputation issue.

5. Trends over time

A benchmark only becomes really useful when you track it. Establish a baseline and repeat the exercise monthly or quarterly, depending on the size and importance of the programme.

Look for movement: Are you appearing more often? Are you being cited by more authoritative sources? Are you appearing for more non-branded questions? Are competitors gaining ground?

Don't expect every metric to move upwards every month. AI search is dynamic, and the underlying systems and sources can change. The objective is to identify meaningful trends rather than obsess over individual results.

The difference between being visible and influencing the buying process

There is an important distinction between appearing in an AI answer and influencing a purchasing decision. A business can be mentioned by an AI platform without communicating anything particularly persuasive about why a customer should choose it. This is where good content matters.

The information being surfaced needs to communicate your value proposition, demonstrate expertise and answer the questions customers have at different stages of the buying journey.

For B2B organisations, that could mean content covering:
•   Awareness: What is the problem and why does it matter?
•   Consideration: What are the options and what should buyers look for?
•   Evaluation: How does your solution compare? What evidence supports your claims?
•   Decision: Why should a customer choose your business?

AI visibility should therefore be treated as part of the wider marketing funnel, rather than as a standalone technical exercise.

Why PR has a role to play in AI search

One of the most important implications of AI search is that earned media and third-party content matter.

Press releases remain a useful tool because they provide clear, factual and consistent information that can be picked up by multiple sources. Well-written press releases put the important information high up the release. If a spokesperson's name, role and key quote are buried towards the end of a long release, there is a greater risk that the most useful information will not be surfaced in an AI-generated answer.

Putting the key message, company information and spokesperson quote within the opening paragraphs makes the content easier to identify and reuse.

But don't stop at traditional media. Trade associations, industry publications, specialist websites, expert blogs and other credible third-party sources can all contribute to the wider information ecosystem around a business.

The objective is not to get the same press release reproduced everywhere. It is to build a consistent body of independent, credible evidence about your expertise, products and achievements.

And don't forget your own website. If AI search systems cannot access relevant information on your site, you are making it harder for that information to become part of the wider search ecosystem. Website crawling and access controls therefore deserve a place in any AI visibility audit.

What about inaccurate information in AI search results?

This is where AI visibility monitoring becomes part of crisis communications. If you discover an inaccurate or potentially damaging answer, don't simply note it and move on.

First, trace the citation. Find out where the AI platform appears to have obtained the information. If the original source is incorrect, work to have it corrected.

Then publish the correct information on your own website, ideally on a clear, authoritative landing page that can be easily understood and referenced.

Finally, build a volume of accurate third-party content that reinforces the correct position.

And be explicit. If something is factually wrong, don't leave the correction open to interpretation. State clearly what is incorrect and what the accurate information is.

This is one reason AI search monitoring should sit alongside reputation and crisis communications, rather than being treated purely as an SEO activity.

AI benchmarking is the beginning, not the end

AI search visibility is still evolving. There is no single universally accepted benchmark or metric, and different AI platforms can behave differently. That makes a consistent methodology more important, not less.

The businesses that will benefit most are not necessarily those trying to “game” AI systems. They are the ones building a strong, accurate and authoritative digital presence that answers customer questions and is reinforced by credible third-party sources.

For B2B businesses, that means bringing PR, content, SEO and reputation together.

The question is no longer simply: “Can customers find us on Google?” It is becoming: “When our customers ask AI who they should trust, are we part of the answer?” And, crucially, is the answer an accurate and compelling representation of your business?

That is the real purpose of AI search visibility benchmarking: not just to measure whether your brand is being seen, but to understand whether your reputation, expertise and value proposition are being carried into the conversations that increasingly shape buying decisions.

How to stay visible in an AI world

We're running free workshops to show organisations how business-to-business PR helps to drive your business forward in an era where technology is transforming communication and 89% of B2B buyers are reported to be using generative AI in their purchasing process.

Whether you’re launching a new product, entering a new market, attracting investment, or building your business reputation to secure top talent, a strategic PR plan, built with AI in mind, is your foundation for success. Join us to find out more.

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