The complete system for AI commerce
See how ChatGPT, Claude, Gemini and Perplexity describe and recommend your products. Get the content and the product records that move them. Scored against the standard for your category.
Your category has its own standard. LBOX holds all 254.
See it running
Live output. No account, no sales call.
| Engine | Cited | Avg pos | Read |
|---|---|---|---|
| Gemini | 71.4% | 3.85 | Cites only |
| Google AI Mode | 57.1% | 3.94 | Cites only |
| Google AIO | 57.1% | 3.94 | Cites only |
| OpenAI | 0.0% | not ranked | Recommends |
| Perplexity | 96.4% | 3.15 | Cites only |
| Claude | 96.4% | 3.15 | Cites only |
| ChatGPT | 0.0% | not ranked | Absent |
| Topic | Visibility | Named | Of |
|---|---|---|---|
| recommendation | 35 | 107 | |
| Taste and Texture | 14 | 41 | |
| Value for Money | 7 | 24 | |
| Availability | 5 | 18 |
Platform
Track, analyze and optimize how ChatGPT, Claude, Gemini and Perplexity 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 prompts real buyers use in your category and see when models name you.
What is the best insulated work boot for cold storage?
Category regulatory, publishing and marketing requirements, scored against your products.
Understand which sources and which content formats drive the citations you win and lose.
Produces the formats models cite in your category. Articles, spec pages, audio, video, interviews, press and verified reviews.
Whether an AI agent can find, understand and buy your product, tested on the live path.
The data underneath
Regulated categories, technical categories and retail categories each define a credible source differently. LBOX holds all 254 definitions and scores your products against yours.
industries
Each of the 254 industries carries its own regulatory disclosures, publishing requirements and marketing rules. Your products are scored against yours, and the fixes are written to match.
Open a single industry standard and scroll it slowly, then switch industries once so the reader watches the standard change. Hold on the switch. That switch is the whole argument.
What your category is legally required to disclose, and whether models can read it.
Learn moreThe formats, schema and sources models trust in your category specifically.
Learn moreClaim substantiation, comparison rules and the language your category permits.
Learn moreThe prompts real buyers use in your category, maintained per industry.
Learn morestudio
Citation data sets the brief. A full agency creative and production team makes the work: campaigns, film, audio, interviews, photography, earned media and captured customer reviews.
Start on the content map with the citation gap visible, click through to a brief, then to the calendar with mixed formats scheduled. Show at least one non article format, ideally video or audio.
The brief comes from the gap between what models cite and what you publish.
Learn moreFull agency creative teams, the same people behind global brand campaigns.
Learn moreFilm, audio, interviews, photography and spec pages, produced in house.
Learn morePress placement and captured customer reviews, two of the sources models weight most.
Learn morecommerce
LBOX tests whether an AI agent can find your product, read its specifications, compare it against the category standard, and complete the purchase.
Screen record an agent attempting a real purchase end to end, including the point where it fails. Keep the failure in. The failure is the product demonstration and no competitor can show it. A split view with the readiness score updating alongside is stronger again.
Whether your product record meets the category standard a model needs to recommend it.
Learn moreOver a billion products with exact specifications, so you see the comparison the model sees.
Learn moreAn agent walks the live purchase path and reports exactly where it fails.
Learn moreintegration
Engineers implement the Agentic Commerce Protocol end to end: agentic checkout, cart and feed, delegate payment, delegate authentication, orders and webhooks. Your product feed, your schema, your CDN and your MCP server, built and kept current.
A diagram is stronger than a dashboard here. Show the path from product record to feed to agentic checkout to order webhook, with the pieces LBOX builds marked. A live endpoint health view works as a second option.
Agentic checkout, delegate payment, delegate authentication, orders and webhooks, built against the current spec.
Learn moreFeeds, schema and specification normalization, so agents read your catalog correctly.
Learn moreCrawler tracking at the edge, and an MCP server that puts your data inside your own team tools.
Learn moreACP, UCP, MCP and A2A keep moving. We track the specs and keep your endpoints current.
Learn moreintelligence and network
Competitive intelligence on 50 million companies, and direct connection to 300 million decision makers at the partners, retailers and buyers who shape what gets recommended.
A static high resolution capture is enough. A company profile beside a filtered stakeholder list. Blur or substitute any real personal data before capture. This is the module where a privacy slip is most likely.
50 million company profiles behind every competitive comparison you run.
Learn moreHow models describe you against the specific rivals in your category.
Learn more300 million decision makers, mapped to the businesses that carry and cite your category.
Learn moreTurn a visibility finding into a named contact and a conversation.
Learn moreCoverage
254 industries, each with its own standard. A sample:
Platform capabilities
One number for how present you are across models.
Your share of mentions against your named rivals.
The words models use to describe you, tracked over time.
Tracks you as a knowledge entity across every model.
Maintained per industry and updated as buyers change.
Your own prompts, tracked alongside the category set.
Run the same prompts as different buyer types.
One intent, phrased the way real buyers phrase it.
Why you win or lose an answer, traced to a cause.
The gap between what models cite and what you publish.
Export a presentable document for the people who missed the demo.
Shared views for brand, agency and retail teams.
Agentic checkout, payment and auth, implemented for you.
Your catalog, structured the way agents read it.
Your LBOX data inside your own team tools.
Campaign, film, audio and photography, in house.
Multiple brands and clients under one account.
A named strategist attached to your account.
Nothing publishes without your sign off.
Coming soon.
How to choose
Whoever you buy from, these are the questions worth asking.
Questions
LBOX is a system for AI commerce. It measures how AI models describe and recommend your products, scores them against the published standard for your category, and produces the content and product records that change the answer.
LBOX scores your products against your category regulatory, publishing and marketing requirements, produces the content that closes the gap, and tests whether an AI agent can complete a purchase once a model has recommended you.
Each industry has its own rulebook covering what must be disclosed, which formats and sources models trust in that category, and which marketing claims are permitted. Your products are scored against your category rulebook.
ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Copilot, Meta AI, Grok and DeepSeek. Model coverage is not metered by plan.
Yes. Agencies run multiple client brands from one account, with separate workspaces per client and exportable client ready decks and one sheets.
Yes. Competitive positioning is drawn from a company intelligence index covering 50 million companies, and product comparisons from an index of over a billion products with exact specifications.
Articles and spec pages, plus audio, video, interviews, commercial content, press releases, and captured verified customer reviews. Formats are chosen from the citation data for your category.
An AI agent walks your live purchase path the way a buyer agent would, and reports exactly where it fails: an unreadable spec, a hidden price, a variant it cannot select, a checkout it cannot complete.
Run a visibility report on your domain. It returns your category standard, your current score against it, and the specific requirements you are failing.
See your category standard, your score against it, and the fixes that win you the recommendation.
| Engine | Mentioned | Cited | Avg pos | Read |
|---|---|---|---|---|
| Gemini | 42.9% | 71.4% | 3.85 | Cites only |
| Google AI Mode | 25.0% | 57.1% | 3.94 | Cites only |
| Google AI Overviews | 25.0% | 57.1% | 3.94 | Cites only |
| OpenAI (no search) | 25.0% | 0.0% | — | Recommends |
| Perplexity | 17.9% | 96.4% | 3.15 | Cites only |
| Claude | 17.9% | 96.4% | 3.15 | Cites only |
| ChatGPT | 0.0% | 0.0% | — | Absent |
