The AI platform Advertising Services use to get recommended on
Clients now ask an AI which agency to shortlist. LBOX measures what the engines say about you, shows which directories are answering in your place, and builds the evidence that puts you in the answer. It is also the service you can resell.
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 Advertising Services different
Not general marketing advice. These are the constraints your category actually operates under.
You sell discovery. Yours is the first thing a prospect checks.
Ask an engine to name the best agency for a discipline or a sector and see what comes back. A shop that cannot appear in its own category answer has a credibility problem before the first call, and clients have started running exactly that test.
Directories answer instead of agencies.
Clutch, listicles and roundup posts are what the engines cite when asked who to hire. The category is enormous and undifferentiated to a model, so it reaches for a list, and that list was assembled by someone selling placement on it.
Your proof is unreadable.
Case studies are the whole argument, and they live in PDF decks, showreels, password-gated portfolios and Behance tiles. The work that would win you the answer is in exactly the formats engines extract worst.
Your clients will ask you about this, and soon.
Every brand you serve is about to want AI visibility measured and improved. That work either comes from you, under your name, or it comes from someone else who then owns the relationship.
What you get back
The console, measuring a company in Advertising 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 whether the engines name you at all
Visibility and position on the unbranded hiring questions prospects ask, measured per engine. The test your clients are already running on you.
- Ranked against the agencies the engines actually named
- See where a model reads your work without naming you
You against the field, engine by engine
unbranded questions| Brand | Gemini | AI Overviews | OpenAI | Perplexity | Claude | ChatGPT |
|---|---|---|---|---|---|---|
| Pennant Studio | 28% | 24% | 26% | 21% | 14% | 27% |
| Brightmoor Group | 22% | 19% | 18% | 16% | 10% | 21% |
| Fieldhouse & Coyou | 16% | 9% | 14% | 11% | 6% | 0% |
| Marrow Creative | 10% | 8% | 7% | 9% | 4% | 8% |
Turn 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 your web team.
- Scored against your category, not a generic SEO checklist
- Nothing publishes without your sign off
The worklist
Prove the change, pitch after pitch
Every measurement is stored, so the line lengthens each cycle. It is also the chart you put in a client report.
- The same questions, asked again and checked
- White label the whole report under your brand
Visibility over time
every measured runKnow when the models come to read your work
Crawler activity captured at the edge, so you can see which models fetch your case studies and capability pages.
- Every model, every page, logged over time
- Robots and content signals kept current
Crawler activity
hits by model, last 30 daysWhere you disappear as the client gets closer to a shortlist
Presence falls away as intent rises. The who-should-we-hire questions are the ones that convert, and the ones directories win.
- Visibility split by where the question sits in the journey
- Names the stage that costs you the pitch
Visibility by buying stage
where you show up in the journeyThe sources the engines trust when someone is hiring an agency
Directories, trade press and Reddit decide what the engines repeat about you. Almost none of it is yours, which is exactly why it can be changed.
- 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
613 citationsWhat this is worth to your agency
Most verticals buy this to be found. You can also sell it, pitch with it, and use it to show existing clients a result they are not getting anywhere else.
Put your name on it.
The dashboard, the reports and the client proposal all run under your brand and your colours. Your client sees your agency delivering the measurement, and the platform stays behind you.
A line item you do not have yet.
Sell it as a retainer add-on, a standalone audit, or the first phase of a bigger engagement. Agency pricing is built for running many client accounts rather than one.
Walk into the pitch already holding their number.
Run the test on a prospect before the meeting and open with what the engines say about them today, next to the competitors they care about. It is a specific finding about their business, so it is a very hard meeting to cancel.
Give existing clients something new at the next review.
Bring a measurement nobody else is showing them and a worklist that makes the following quarter obvious. Renewal conversations get easier when you arrive with a number that moved.
Make the content and creative you already sell defensible.
Your work is now read by models as well as people. This shows which pages the engines actually quote and which they ignore, so the content programme has a measurable outcome attached to it instead of an impression count.
The program for Advertising 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 agency today, through the engines own APIs
- The hiring questions prospects actually ask, mapped by discipline, sector and geography
- Where a directory or listicle is answering in your place
- Which sources the engines cite for your category, and which of those you control
- Case studies and capability pages rebuilt in a form engines can read and quote
- White label: run the same measurement for your clients under your own brand
- 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.