Get the AI tools to cite your business
AI does not decide whether your firm is genuinely authoritative. It works with the evidence it can find.
For professional services firms, the challenge is not to manufacture authority for a machine. It is to make real expertise clear, specific and easy to verify.
Authority is earned through doing the work. Citability comes from putting evidence of that work on the public record, in a form that people and machines can understand.
“AI cannot see the authority you have in the room. It can only work with the evidence you have put on the record.”
— Larysa Hale, Expert Circle
Three numbers worth knowing
94%
Forrester reports that 94% of business clients now use AI during the purchasing process. Twice as many identified generative AI or conversational search as a meaningful source of information than any other source — including vendor websites, product experts and sales conversations.
80%
Bain found that around 80% of consumers rely on zero-click search results in at least 40% of their searches. It estimates that the shift towards answers delivered without a website visit may already be reducing organic traffic by 15% to 25%.
$750 billion
McKinsey estimates that $750 billion in US consumer revenue could flow through AI-powered search by 2028. Half of the consumers it surveyed were already intentionally using AI-powered search engines.
The authority leak on your service page
Many service pages begin with a large image, a polished slogan and a paragraph about being trusted, innovative and client-focused. Those statements may be harmless, but they give a potential client — or an answer engine — very little usable information.
The problem becomes worse for firms with several specialisms. When every service is described through the same broad language, the firm may be associated with the wrong expertise, compared with the wrong competitors or overlooked in favour of a less experienced firm whose offer is easier to understand.
The firm has not necessarily been judged and rejected. It may simply have been mis-filed.
Before
“We are a leading professional services firm providing a comprehensive range of tailored solutions. Our experienced team works closely with clients to deliver practical, commercial advice.”
This sounds respectable, but it does not say who the firm serves, which problem it solves or what experience supports the claim.
After
“We advise owner-managed manufacturing businesses on statutory audit, tax planning and succession. Our work is led by named specialists who understand the financial and operational pressures facing growing manufacturers.”
The second version gives the firm a recognisable client, a defined set of services and a credible basis for further evidence. It is easier for a client to understand, easier for a colleague to refer and easier for an answer engine to classify.
I have watched this work by accident. After restructuring PM Forum’s content along exactly these lines, I later found ChatGPT citing it as a source — while I was searching for something else entirely. Nobody optimised for that moment. The content simply became liftable, and the machine lifted it.
YOUR MOVE
First, ask one AI tool the question you most want your firm to be the answer to, and note who gets named. It takes ninety seconds, and it turns everything below from theory into a to-do list.
Then choose the service page linked to the work your firm most wants to win. Read its first screen and ask:
- Can a stranger tell exactly who this service is for?
- Can they see evidence that we have done the work?
- Can they identify the person whose expertise supports the page?
Where the answer is no, you have found the first authority leak to fix.
Three things to do this week
Say it
Rewrite the opening of one priority service page. State what the service is, who it is for and which situation normally creates the need.
Prove it and sign it
Add one defensible piece of evidence and name the professional behind it. Use genuine experience, a relevant figure, a specific credential or an anonymised pattern from client work.
Structure it
Add three questions clients regularly ask before engaging the firm. Answer each plainly enough to make sense when read on its own.
This month’s masterclass
Content that gets cited: your AEO content architecture
This month’s masterclass shows you how to translate your firm’s real expertise into content that people and AI systems can understand and use.
We will apply four moves to your most commercially important pages:
- Say it: make the answer and value proposition clear.
- Prove it: replace broad claims with specific evidence.
- Sign it: connect the content to named professional expertise.
- Structure it: organise the page around real client questions.
The same framework runs through the accompanying ebook, Content that gets cited: secrets unveiled, together with the three priority page types and a practical 90-day plan.
If this briefing was useful
The masterclass is where the work happens
The AI Marketing Growth Programme takes the thinking in this briefing and turns it into a plan connected to your revenue targets.
£150 per month. Cancel anytime.
Bring it to the accountability meeting
The masterclass gives you the framework. The monthly accountability meeting is where the changes become commitments.
The next meeting takes place on Thursday 27 August 2026, from 9.30 to 10.30am. Bring the priority page you selected, the changes you have completed and the part that is still holding you back.
The meeting is available to Expert Circle members and sits at the heart of the programme: decide what matters, complete the work and return to report what moved.
Join the Expert Circle Programme
EDITOR’S NOTE
Most good professional services firms do not have an authority problem. They have a translation problem.
Their best evidence lives in client work, private conversations and the experience of senior professionals. By the time that expertise reaches the website, it has often been polished into language so broad and cautious that very little judgement remains.
AI visibility has made this problem fashionable, but it did not create it. A potential client has always needed to understand what you do, see evidence that you have done it and know who stands behind the advice. The machines need much the same thing; they are simply less charitable towards ambiguity.
Larysa Hale
Founder, Expert Circle
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