For brands · Answer Engine Optimization

Get your brand recommended by AI.

Buyers ask AI before they ask you — make sure your product is what it recommends. LBOX walks you from “where do we stand?” to a published, answer-ready page, one confirmed product leading every step.

The full model panel
Every run is measured across all the top supported AI models and platforms your buyers actually use — not a fixed shortlist.
1 product, locked
You confirm the exact product at the gate. It leads every report, so nothing drifts to the wrong subject.
15 stages
Baseline, diagnosis, a rebuilt page, and a content plan drawn from every report — in one connected run.
The journey

From a blind spot to a brand AI reaches for.

Each stage produces a real, saved output that feeds the next. You are never handed a dashboard and left to guess — every step ends with something concrete you can act on.

Phase 1

See where you actually stand

A dated baseline of your visibility, your record, and your buyer — before you change anything.

01

AI Visibility

Run your product against the model panel on the questions your buyers ask. See who the AI recommends in your category today, and where you are simply absent.

OutcomeA dated baseline: your visibility, your citations, and the rivals winning the answer.
02

Company Profile

Your company the way an answer engine reads it — category, description, and signals pulled straight from your existing record, not re-typed.

OutcomeA clean, consistent entity AI can recognise and trust.
03

Customer Profile

Who actually buys this, why they buy, what they weigh, and where they look before they decide — the buyer your content has to win.

OutcomeA saved buyer profile that shapes every piece you publish.
Phase 2

Find every gap AI sees

Diagnosis across commerce, agents, and the models’ own reasoning — the reasons you are not chosen yet.

04

Retail Readiness

How ready your product is for AI-driven buying journeys — the commerce signals models need before they will surface you in a purchase.

OutcomeA commerce-readiness score and the gaps closing it.
05

Agent Shopping

Whether an AI shopping agent can find, understand, and actually pick your product when it is doing the buying for someone.

OutcomeYour agent-readiness (UCP) score, with the fixes ranked.
06

Deep Analysis

Each engine, in its own words, on what it would take to recommend you — then the common threads across models, ranked by how many agree.

OutcomeThe cross-model reasons you lose, ordered by consensus.
Phase 3

Fix the page & watch the talk

A page AI can quote, plus a live read on what the models are saying for and against you.

07

Published Page

Your product page rebuilt so an answer engine can read, trust, and quote it — the FAQs, structured data, and answer-first copy models reward.

OutcomeA live, answer-ready page — with the before/after score.
08

Negative Sentiment

What AI is actually saying against you — the concerns, the quotes, and the sources feeding them — so you can get ahead of it.

OutcomeThe negative themes to address, with their sources.
09

Positive Sentiment

The strengths the models already repeat about you — the proof points worth amplifying instead of leaving on the table.

OutcomeThe advocacy themes to double down on.
Phase 4

Plan & produce the content

Every report above becomes a prioritised plan you approve, schedule, and can hand to leadership.

10

Content Map

Every piece of content that closes a gap — drawn from your buyer, your commerce gaps, the deep analysis, and what AI is saying. Not a keyword list.

OutcomeA prioritised opportunity map, each piece tied to the report it answers.
11

Content Strategy

The map turned into a working plan — the format, angle, and target for each piece, ready for your direction.

OutcomeAn approved content plan built from every input.
12

Review & Approve

Sign off what goes out. Your voice, your call — nothing ships without your approval.

OutcomeA signed-off set, in your brand voice.
13

Calendar

When each piece ships, laid out as a schedule you or your team can run.

OutcomeA publishing schedule you can hand off.
14

Outputs

The deck and one-sheet that prove the work — the before, the plan, and the results, packaged for the people who decide.

OutcomeLeadership-ready deck & one-sheet.
Phase 5

Keep climbing

Close the loop past detection: measure what moved, then do more of it.

15

Marketing EngineSoon

Measure which actions actually moved your citations, and let the engine rank what to do next by the visibility it earns.

OutcomeCompounding visibility, guided by what works.

Start where it matters: your baseline.

Confirm one product, run AI Visibility, and see exactly where you stand across the model panel today.

Run AI Visibility
LBOX · Answer Engine Optimization · Brand onboarding