Ask the engines directly and record what they return
The fastest way to check what AI says about my firm accounting is to open ChatGPT, Gemini, and Perplexity and type in questions a prospective client might ask, using your firm's actual name and city. Read the full response, screenshot it, and note anything wrong, outdated, or missing. This takes fifteen minutes and gives you a direct picture of what a potential client sees before they ever call you.
Search engines used to be the only front door for a bookkeeping firm. Someone typed "bookkeeper near me," scanned a list of results, and clicked through to compare websites. That process still happens, but a growing share of people now ask an AI assistant instead and expect a direct answer: a name, a short description, maybe a reason to choose one firm over another. If your firm isn't part of that answer, or the answer is wrong, you lose the chance to be considered before the prospect even reaches your website.
Prompts to test your firm's visibility and accuracy
Testing your firm's visibility means running a small, repeatable set of questions through each AI tool and comparing what comes back to what's actually true about your business. The goal is to see whether your firm shows up at all, and if it does, whether the details are accurate and framed the way you'd want a referral to sound.
Start with these categories of prompts, swapping in your city, niche, and firm name:
- Direct name lookup: "What can you tell me about your firm name in your city?"
- Category search: "Who are the best bookkeeping firms in your city for small businesses?"
- Service-specific search: "Which accountants in your city handle payroll for small restaurants?"
- Comparison prompt: "Compare your firm to your competitor firm."
- Trust and credential check: "Is your firm name a licensed CPA firm?" or "Does your firm name have good reviews?"
Run each prompt in ChatGPT, Gemini, and Perplexity separately, since each pulls from different sources and can return different answers. Save the responses in a document with the date, so you have a record to compare against next time.
How to spot outdated or wrong information
Spotting outdated or wrong information means comparing every claim in the AI's answer against your current business facts: address, phone number, services offered, hours, pricing structure, and owner or partner names. Any mismatch is a signal worth acting on, because it means the AI pulled from an old directory listing, a stale review site, or a competitor's more complete profile instead of your own.
Common problems to watch for:
- An old address or phone number carried over from a previous listing or a data aggregator that never got updated.
- Services you no longer offer, or newer services (like advisory work or specific software support) missing entirely.
- A former partner or employee still listed as the contact.
- Confusing your firm with a similarly named business in another city or state.
- No mention of your specialization, so the AI recommends generalist competitors instead when someone asks for a niche like construction bookkeeping or nonprofit accounting.
When you catch one of these, don't assume it's a one-off glitch. AI tools generate answers based on patterns across many sources, so a wrong detail in one tool often means the same wrong detail exists somewhere else, like an outdated directory or a data aggregator, and needs to be corrected at the source.
Why silence is a problem worth fixing
Silence, meaning your firm never comes up at all in relevant AI answers, is arguably a bigger problem than a factual error, because there's nothing to correct and no way to know how much business it's costing you. A wrong phone number can be fixed in a day. A firm that simply doesn't exist in an AI's frame of reference for "bookkeeper in your city" has to earn its way in from scratch.
This matters because AI assistants tend to answer category questions with a short list, not an exhaustive directory. If a prospective client asks for bookkeeping help and your firm isn't one of the names offered, you're not losing a ranking position the way you might on a search results page. You're being left out of the conversation entirely. The prospect may never know your firm was an option.
Silence usually means the AI has too little consistent, structured information about your firm across the web to include it confidently. That's different from being disliked or distrusted by the AI; it's simply not visible enough yet to be recommended alongside firms with more complete, consistent online profiles.
What to change based on what you find
What to change depends entirely on what your testing revealed, but the fixes generally fall into three buckets: correcting wrong information, filling in missing information, and strengthening the signals that make your firm easy to recommend. Treat this as ongoing maintenance, not a one-time cleanup.
If you found factual errors, start by updating your Google Business Profile, your website's contact page, and any directory listings (industry associations, chambers of commerce, review sites) where the old information might still live. Consistency across these sources is what helps AI tools trust a detail enough to repeat it.
If your firm was missing from category or service-specific prompts, look at whether your website clearly states what you do, who you serve, and where, in plain language. A homepage that only says "full-service accounting solutions" gives an AI little to work with. A page that says "we handle bookkeeping, payroll, and quarterly tax prep for small retail and restaurant businesses in your city" gives it something specific to match against a prospect's question.
If comparison prompts favored a competitor, check whether that competitor has more recent reviews, a more detailed website, or clearer service pages. AI answers tend to favor businesses with more corroborating detail available across multiple sources, not just one polished page.
A simple recurring audit habit
A recurring audit habit means checking your AI visibility on a set schedule, the same way you'd check your Google reviews or your website analytics, rather than treating this as a one-time project. Set a recurring reminder, monthly or quarterly, to rerun your saved list of prompts across ChatGPT, Gemini, and Perplexity.
Keep the process simple: use the same prompts each time so you can compare results directly, save the date and the response text, and flag anything that changed since the last check, whether that's a new error, a competitor showing up where you used to, or an improvement in how your firm is described. Over time this record shows you whether your corrections are taking effect and where new gaps are opening up.
You don't need anyone else's report to know whether this is working. Check it yourself: open a private or incognito browser window, run your saved prompts in ChatGPT, Gemini, and Perplexity, and read the answers exactly as a prospective client would see them. Compare today's answers to your saved screenshots from the last check. Look specifically for three things — is your firm mentioned, is the information accurate, and does the description sound like something that would make a prospective client call you. Do this monthly, on the same day each time, and you'll have a clear, firsthand record of whether your visibility is improving.