How customers search for an accounting firm via an AI assistant

What an entrepreneur asks an AI assistant

Someone looking for a bookkeeper no longer types a generic search term. They ask a question like: which accounting firm works with Moneybird and costs around 150 euros per month. Or: I'm looking for a bookkeeper for my sole proprietorship who also handles my VAT return. That's more specific than before, and that's precisely why the assistant needs detailed information to mention you.

A second frequently asked question concerns software integration. Entrepreneurs often already work with a package like Exact Online, Moneybird or Yuki and don't want to switch. They ask the assistant directly which firm can work with their system. If that's not mentioned anywhere on your site, you're ruled out, even if you know the package well.

A third type of question revolves around price. Not every entrepreneur wants to negotiate; many want to know upfront whether a firm fits their budget. If someone asks an assistant for a bookkeeper up to 200 euros per month for a BV, the assistant must find a concrete amount or clear range somewhere. If it's missing, they'll mention a competitor who does state it.

Why software and monthly price are decisive

At an accounting firm, the choice rarely comes down to likeability or brand recognition. The client wants to know whether the firm understands their software and what they'll pay structurally. Those are two hard, verifiable facts, and exactly the kind of information an AI assistant can filter well. Vague texts about personal approach or years of experience don't help here.

Therefore, explicitly mention which accounting packages you support: Exact Online, Moneybird, Yuki, SnelStart, or whatever you use. Name them directly, not as modern cloud software. An assistant looks for a match between what the client uses and what you offer, and can only match if both sides use the same term.

Monthly price is more sensitive, but an indication helps more than omitting it. A range per client profile, for example from 95 euros per month for a sole proprietorship, gives an assistant something to work with. If every figure is missing, the assistant cannot compare your firm with firms that do provide one, and you'll be skipped in price-focused questions.

This works the same way in other professions. As we explain at how customers search for a plumber via an AI assistant, the question is never just who does the best work, but who provably fits what the client already uses or needs. For accounting, that's software and budget; for a plumber, it's often location and emergency availability.

What information an assistant is missing from most firms

Most accounting firms list their services on their website: annual accounts, VAT return, payroll administration. That's a good start, but an AI assistant can do little with a list if there's no context. Who is the service for: freelancer, BV, foundation? Which sector? An assistant must be able to make that connection from your text itself; they don't invent it.

Specialization is often completely missing. Do you work a lot for hospitality, construction, or freelancers in healthcare? That kind of industry knowledge is relevant to a client and a strong signal for an assistant. If you only write that you serve all sectors, the assistant has nothing to match on and will sooner choose a firm that does name a sector.

Practical matters are also often missing: do you work with a dedicated contact or a team, is an intake meeting free, how quickly do you respond to questions. This kind of information seems secondary, but it's exactly what an assistant uses to choose between two similar firms. If it's missing, the choice becomes random, and randomness rarely works in your favor.

Structure helps enormously. Just as we describe what must appear on an electrician's website, information must be recognisable and separately findable, not hidden in flowing marketing language. An assistant doesn't read atmosphere; it reads facts.

What schema.org AccountingService concretely delivers

Schema.org is a standardised way to introduce structure into your website so that machines — search engines and AI assistants alike — understand exactly what kind of business you are. For an accounting firm, the AccountingService type is intended: it explicitly tells them you are not a bookshop or general service provider, but a financial services provider with specific characteristics.

Within this schema you can fill in fields such as name, address, telephone number, opening hours, and — more importantly — a description of services and a price indication. These fields are not visible to the visitor, but are readable to systems that search your site. It is the most direct way to convey facts to an assistant without depending on how well it interprets your running text.

Without this schema, an assistant must guess based on free text, and guessing leads to errors or, more often, to your firm being skipped. With the schema you explicitly state: this firm does annual accounts, uses Exact Online, and targets freelancers and small companies. That explicit link is exactly what an assistant needs to confidently mention you.

Filling in schema.org is technical, but not complicated once someone has set it up properly. It is comparable to what is needed for other service providers, as can be read in AI discoverability for an electrician: the exact fields differ by sector, but the principle — giving explicit, structured facts over vague text — remains the same.

Common mistakes accounting firms make online

The most common mistake is the absence of software names. Many firms write we work with the latest accounting software instead of naming the actual package names. For a human reader that makes little difference, but for an AI assistant looking for a match with Moneybird or Exact Online it is the difference between being found or not.

A second mistake is completely omitting price information, for fear of price comparison. That is understandable, but the effect is that an assistant cannot make a comparison and so does not include you in the options at all for a price-focused query. An indication, even a broad one, is better than nothing.

A third mistake is using different names for the same service interchangeably: on one page it is called annual accounts preparation, on another year-end close, elsewhere annual work. For an assistant trying to link facts together, that inconsistency is confusing. Choose one term per service and use it consistently everywhere, including in menus and on contact pages.

This type of inconsistency appears in virtually every sector. As discussed in the five mistakes a plumber most often makes online, the core issue is always the same: unclear or changing language makes it harder for systems to understand exactly what you offer, regardless of the sector in which you work.

How to tackle this practically without turning everything upside down

Do not start with a complete website rebuild. Start with one page, or section, that explicitly states per service: who is this for, what software do we use for it, and what does it cost approximately. That is a textual adjustment, not a technical project, and immediately delivers more clarity for both visitors and assistants.

Next, ask someone with technical knowledge to add the schema.org AccountingService type to your site. This need not be expensive or time-consuming if the content is already in order: the technical person simply translates your existing text into the correct machine-readable format.

Then check whether your services, software names and price indications are consistent across the entire site: homepage, services page, footer, and any separate landing pages. An assistant does not read one page but tries to form a complete picture, and inconsistencies between pages undermine that picture faster than you might think.

Repeat this check periodically, especially if you switch software or adjust your prices. Outdated information is just as problematic for an assistant as missing information: it cannot know that it is out of date, and may then mention you with incorrect expectations, resulting in a poorer customer match than no mention at all.