AI Visibility
Monitor visibility score, sentiment and share of voice across every major model.
- Share of voice 24%
- Cited, not named 36%
- Average position #3.2
- Models measured 7
LBOX maps what buyers are asking, reveals where competitors dominate the answer and where openings exist, then helps you build, test and measure marketing designed to fill the gap.
Responsible for one brand and its AI visibility? Get your visibility report.
See the founding offer and apply →
The founding offer
A small founding cohort, onboarding October 1. Two ways in: run the platform yourself, or have us run it for you. First come, first served, and your rate holds for as long as you stay.
Full access to the platform. You run it.
What is in the stack
100 founding seats. Onboarding October 1.
Inquire for full service
We run the full 90-day program. You approve and steer.
20 founding partner seats. Onboarding October 1.
The full-service program
Thirty days cannot prove this. Ninety can. The commitment follows our 90-Day AEO Delivery Playbook, so you always know exactly what happens next.
We baseline where you stand in AI answers today, map the category, and set the questions that matter to your buyers.
We publish the pages AI reads, create the content, and act on the highest-leverage openings the analysis surfaces.
We measure what moved, compound the wins, and prove the before and after that 30 days could never show.
You never pay the increases as the platform and service scale.
Real influence on what we build next, because you shape it.
New features reach founding partners before anyone else.
Founding partners become the proof and the reference logos.
Apply
Applications are reviewed in the order they arrive. Onboarding begins October 1.
Use it to create
The LBOX pre-flight is not a website audit. It reads the market so the work you make next has a reason to exist, whatever form that work takes. Content includes:
Campaigns
Ad and launch campaigns
Pages
Landing pages and articles
Decks
Pitches and presentations
Social
Posts and series
Video
Films, demos, shorts
Reports
Research and benchmarks
Audio
Podcasts and voice
Branding
Names, claims, packaging
Measured on the platforms that decide what gets recommended in your category.
One category question, no brand named, and the model returns a finished list with the sources behind it. Every brand on it was chosen before your site was ever opened.
The ones worth buying, split by what “naturally sweetened” usually means.
Emmy’s Organics — maple syrup and agave, vegan and gluten-free.
Base Culture — honey and dates on an almond flour base.
Simple Mills — coconut sugar, widely stocked in regular grocery.
Purely Elizabeth — grain-free, coconut sugar, easy to find.
Catalina Crunch — sandwich cookies, monk fruit and erythritol.
Munk Pack — allulose forward, soft baked.
Lakanto — monk fruit throughout the line.
HighKey — mini cookies, good portion control.
Visibility, share of voice, the competitive field, the sources behind every citation and the tone of each topic. One subject, one console, every figure carrying the denominator it was measured on.
Visibility, share of voice, sentiment and position, measured on the unbranded questions your buyers actually ask.
| Brand | Gemini | AI Overviews | OpenAI | Perplexity | Claude | ChatGPT |
|---|---|---|---|---|---|---|
| Fernwood Bakehouseyou | 42.9% | 25% | 25% | 17.9% | 17.9% | 0% |
| Fiber One | 31% | 38% | 22% | 29% | 14% | 41% |
| KIND | 27% | 33% | 19% | 24% | 11% | 36% |
| JoyFoodSunshine | 18% | 12% | 9% | 21% | 6% | 15% |
| The Only Bean | 11% | 8% | 6% | 14% | 4% | 9% |
Findings arrive as a worklist, sorted by who can act: what LBOX writes, what needs your approval, what needs your engineers.
Where AI referrals land, which models sent them, and which pages earn the citation that carried them.
Crawler activity captured at the edge, so you can see which models come to read you and how often they return.
An agent walks your live purchase path the way a buyer agent would, and reports the exact step where it stops.
Track, analyse and change how the models describe and recommend your products, scored against the standard for your category.
Monitor visibility score, sentiment and share of voice across every major model.
Track the questions real buyers ask in your category and see when models name you.
Which low sugar snack brands are worth buying?
Category regulatory, publishing and marketing requirements, scored against your products.
Which sources and which formats drive the citations you win and the ones you lose.
Produces the formats models cite in your category, from spec pages to film and verified reviews.
Whether an AI agent can find, understand and buy your product, tested on the live path.
Take these to us and to anyone else you are considering. The answers separate a tracker from a system that changes the answer.
ONE MORE, IF YOU WANT TO PRESS HARDERCan an agent complete a purchase once a model has recommended you? A recommendation that cannot be acted on is not revenue.
The citation data sets the brief. A full creative and production team makes the work: spec pages, film, audio, interviews, independent testing, press and captured reviews.
article, buying guide, checklist, FAQ, glossary, how-to, spec sheet, ultimate guide
comparison, alternatives page, listicle, versus matrix
case study, customer proof, certifications, test results
press release, media pitch, contributed article, creator brief
where to buy, pricing transparency, product release, page enhancement
video script, social post, newsletter section, video description
schema and meta set, markdown variant
misconception correction, review response, claim clarification, myth versus fact
No single format covers them all. An FAQ, a comparison, an interview, a video and an independent test each produce different variables and overlap to cover the whole.
The analysis proposes the work. Each proposal becomes a document, drafted from your own facts, reviewed by you, then published to your page.
Other platforms hand you a list of recommendations. LBOX publishes the finished, shoppable asset.
I can help you understand the VoltSync M2 by Nexora. Ask me about specifications, load ratings, wall compatibility, installation, or anything else about this product.
The page AI cites is the page that takes the order, with the buyer identified and the payment held until delivery.
Every product is scored for the person who actually buys it: who they are, how often they buy, what they will spend, and who else is in the room when they decide.
The profile sets the questions. Prompts are written the way this buyer asks them, which is why the score reflects your market rather than a keyword list.
A generic template scores a regulated medical brand the same way it scores a t-shirt. LBOX holds all 254 rulebooks.
Buyers ask in their own language, and the models answer differently when they do.
Models differ by who built them and on what. Open Model Intelligence
Ask the account a question in plain language and get the answer with the figures behind it, drawn from the same facts the dashboard renders.
Across the last run you were named in 21.9% of answers. Perplexity is your weakest engine, and most of what it cites instead sits on 38 sources you do not appear on — the same sources the studio is already drafting against.
Every figure names the run and the denominator it was computed on.
If your question is not answered here, a named strategist will take it.
Run a visibility report on your domain. It returns your category standard, your score against it, and the requirements you are failing today.