The AI platform Business Consulting and Services use to get recommended on
Buyers now ask a model to shortlist consultancies before anyone picks up a phone. LBOX measures what the engines say about your firm, shows which firms 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 Business Consulting and Services different
Not general marketing advice. These are the constraints your category actually operates under.
You sell expertise and the model gives a competent version of it away.
The framework, the diagnostic, the first hour of thinking that used to earn the meeting is now free and instant. What you sell still has value, but the thing that used to open the door no longer opens it unless the answer names you.
Your best proof is under NDA, so the engines cannot read it.
The work you would most want quoted is the work you are contractually unable to describe. What remains readable is the generic capability page, which is indistinguishable from every other firm.
To a model the category looks undifferentiated, so it names the big brands.
Asked who should advise on a problem, an engine reaches for the names with the most written about them. Scale becomes a proxy for fit, and a specialist firm that is genuinely the right answer never appears.
Partner reputation is the asset and it is summarised from bios.
Clients buy individuals here. When a model describes your practice it reads staff pages and professional profiles rather than the outcomes those individuals are known for.
The referral still happens. It just gets checked by a model before the call
Consulting has always been sold by referral, which is why most firms treat search as marginal. That has quietly changed. The introduction still arrives the same way, but the person receiving it now verifies it privately before responding, and what they find decides whether a warm introduction stays warm. This is the part that does not show up in any funnel: you are not losing enquiries you can count, you are losing the conversion rate on referrals you already earned. A firm can have an excellent word-of-mouth business and still be quietly failing at the verification step, with no metric anywhere that shows it.
What you get back
The console, measuring a company in Business Consulting and Services 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-we-engage questions your buyers 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 approve.
- Scored against your capabilities and sectors, not a generic SEO checklist
- Nothing publishes without your sign off
The worklist
Where you disappear as the buyer gets closer to engaging a firm
Presence falls away as intent rises. The who-should-we-engage questions are the ones that convert, and the ones the larger brands win.
- Visibility split by where the question sits in the journey
- Names the stage that costs you the mandate
Visibility by buying stage
where you show up in the journeyThe sources the engines trust about consulting firms
Professional networks and league tables decide which firms get named. The work you would most want quoted is usually the work you cannot publish.
- 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
617 citationsThe program for Business Consulting and Services
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 buyers actually ask, mapped by capability, sector and problem
- Where a directory, a league table or a larger firm is answering in your place
- Whether the engines describe your capabilities, sectors and partners correctly
- Which sources the engines cite for your capabilities, and which of those you control
- Capability, sector and partner pages built so the engines can read and quote your proof
- Re-measurement on the same questions, 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.