The AI platform Accounting uses to get recommended on
People ask a model their tax and bookkeeping questions now, and the answer rarely names a firm. LBOX measures what the engines say about your practice, shows which firms and directories they name instead, and builds the evidence that changes it.
Measured across
Perplexity
Gemini
Google AI
Claude
Copilot
Meta
DeepSeekGrok... and moreEvery one of them is competing for the same answer. One name comes back when a buyer asks.
What makes Accounting different
Not general marketing advice. These are the constraints your category actually operates under.
The model answers the tax question, so the consultation never happens.
Can I deduct this. Do I need to file in two states. What happens if I miss the deadline. Those questions used to open a conversation with a firm. Now they get a competent paragraph, and the reader only reaches out if a firm was named inside it.
Your licence gets blurred with everyone else.
CPA, EA, bookkeeper and tax preparer are different licences carrying different rights, and a model flattens them. Being recommended for representation work you are not licensed to do is a regulatory problem rather than a wasted call.
If you are invisible in October you are invisible for the year.
The buying window is a few months long and it is the same few months for everyone. Visibility that arrives in March arrives after the client has already chosen, and the next chance is twelve months away.
Trust is the entire product and it is being summarised from directory listings.
People hand you their finances on the strength of reputation. When a model describes your firm it is reading listing profiles and review counts, not the outcomes or the specialisms you would lead with.
A client is a ten-year annuity sold in a four-month window
Accounting has an unusual shape. Retention is extraordinary, so a client won once tends to stay for years and bring their business and their family with them, but almost all of the deciding happens in one short season. That asymmetry is what makes answer visibility worth more here than the click volume suggests. Being named in January does not win one engagement, it starts an annuity. Being absent in January does not cost you a quarter, it costs you the year, because the people who were choosing have already chosen.
What you get back
The console, measuring a company in Accounting against the questions its buyers ask. Every brand named, every domain cited, every engine separately.
A worked example on an illustrative company, shown to display the console. Your own numbers come from measuring your questions through the engines’ own APIs.
See which firms the engines name
Visibility and position on the unbranded who-should-I-hire questions your prospective clients ask, measured per engine.
- Ranked against the firms the engines actually named
- See where a model reads your pages without naming you
You against the field, engine by engine
unbranded questionsTurn what the answers get wrong into work that ships
Findings arrive as a worklist sorted by who can act: what LBOX writes, what needs your decision, what needs a partner to review.
- Scored against your services and licences, not a generic SEO checklist
- Nothing publishes without your sign off
The worklist
Where you disappear as the client gets closer to choosing a firm
Presence falls away as intent rises. The who-should-I-hire questions are the ones that convert, and the ones the directories win.
- Visibility split by where the question sits in the journey
- Names the stage that costs you the engagement
Visibility by buying stage
where you show up in the journeyThe sources the engines trust about accounting firms
Authority sites and community threads decide what the engines repeat. Your own site is a small share of what they read about your firm.
- Owned versus earned, so you know what to build and what to earn
- Every citation traced to the answer it supported
Which domains the engines cite
602 citationsThe program for Accounting
Everything below is included. Measured through the engines’ own APIs, so the same questions can be asked again and the result checked.
- Measure what every major AI engine says about your firm today, through the engines own APIs
- The questions your prospective clients actually ask, mapped by service, entity type and season
- Where a directory or a national tax site is answering in your place
- Whether the engines state your licences, specialisms and service areas correctly
- Which sources the engines cite for your services, and which of those you control
- Service and specialism pages built so the engines can read and quote them accurately
- Re-measurement before the season, so the change is provable rather than asserted
What this does not show: what any individual user saw. LBOX measures what the engines answer through their own APIs, which is repeatable and checkable. It is not a record of any one person’s session, and it does not predict revenue.