Strategic Planning
Six Things That Make LMO7 Different
If you’re a consumer product brand right now, you’re not just fighting for space on shelves and search results. You’re fighting for space inside AI assistants like ChatGPT, Gemini, Claude, Perplexity, Amazon Rufus and whatever lands next. LMO7 exists for that world.
30 November 2025
8 min read
Here are the six core attributes that define how we work with challenger brands and why we’ve built LMO7 the way we have.
1. AI-native, not AI-washed
Most “AI” agencies are just doing the same playbook with a shiny new slide.
LMO7 is built around AI search and agents from day one. That means:
- Product pages structured to be read by models, not just humans
- Content designed for retrieval, not just “SEO keywords”
- Agents watching what AI assistants are recommending, 24/7
We don’t bolt AI onto old processes. We start with the machines and work backwards to the human experience. If ChatGPT, Gemini or Rufus can’t understand, index and recommend your brand, we fix that first.
2. Commerce first, theory second
We like frameworks. We love testing. But nothing matters if it doesn’t move product.
Everything we do is judged on:
- Incremental sales
- Contribution margin
- Cash in the bank
If a tactic looks clever but doesn’t shift units, we drop it. If a simple change to a PDP image, a Rufus-specific FAQ or a tweak to your ad structure lifts ROAS, we double down.
No vanity metrics. No fluff. Just whether we’ve made it easier for people – and AI systems – to find you, choose you and buy you.
3. Built for challenger brands, not enterprise inertia
LMO7 is designed for brands that need to punch above their weight:
- Any brand looking to be a challenger but typically £1–10m in turnover
- Serious about Amazon and D2C
- Hungry, under-resourced, time-poor
You don’t need 80-page decks and six layers of sign-off. You need someone who can sit alongside your team, plug into your Seller/Vendor accounts, your AI search footprint and your media, and get things moving.
We bring the experience from big brands, but we run at challenger speed: short feedback loops, simple scopes, clear pricing.
4. Agentic automation with human judgment
We’re bullish on agents. But we’re not handing your P&L to a black box.
At LMO7, we use agentic systems to:
- Track how often you appear in AI assistants for your key categories
- Monitor pricing, stock, reviews and questions on Amazon
- Surface opportunities and threats you would otherwise miss
Then a human strategist steps in to decide what to do with that information.
Automation does the watching and the heavy lifting. Humans decide the trade-offs, the bets and the guardrails. That’s how we keep you fast without losing control.
5. Radically transparent performance
You should always know three things:
- What we’re doing
- What’s automated vs manual
- What impact it’s having on revenue and profit
So we keep it simple:
- Clear dashboards you can actually read
- Open visibility on tests, wins and failures
- Straightforward fees. No hidden margins, no mystery line items
If something isn’t working, we say so and change it. If we think you’re overspending in one place and under-investing in another, we’ll show you the numbers.
6. Experiment-led, fast feedback
The future of AI search and ads is uncertain. The only honest approach is to test quickly and learn faster than everyone else.
At LMO7, that means:
- Continuous experiments on PDPs, creatives, prompts and bid strategies
- Small, contained tests rather than giant, risky restructures
- A feedback loop where every test teaches the agents and us something new
Wins get rolled out. Losses get documented so we do not repeat them. Over time, you build a library of what works for your brand, your category and your price point across both search and ads.
What this means if you work with LMO7
If you’re a consumer product brand, working with LMO7 means:
You understand where you show up in AI assistants today and where you don’t
Your Amazon and D2C presence is tuned for both humans and models
You get an ongoing stream of small, measurable changes rather than occasional big “ta-da” projects
You know exactly what you’re paying for, what’s automated and what’s moving the needle
We’re not here to be another agency you have to manage. We’re here to be the part of your team that lives inside AI search, Amazon and agentic tools so you don’t have to.
Ready to secure your AI shelf-space?
If you want to see how visible your brand is across AI assistants and Amazon right now, start with a simple step:
Book a free AI Search & Ads Audit.
We’ll show you:
- Where you appear (and don’t) in AI assistants
- How your Amazon presence looks through an AI lens
- The quickest experiments we’d run in the next 90 days
Then you can decide whether LMO7 is the right partner to help you own that space before everyone else wakes up.
1. AI-native, not AI-washed
Most “AI” agencies are just doing the same playbook with a shiny new slide.
LMO7 is built around AI search and agents from day one. That means:
- Product pages structured to be read by models, not just humans
- Content designed for retrieval, not just “SEO keywords”
- Agents watching what AI assistants are recommending, 24/7
We don’t bolt AI onto old processes. We start with the machines and work backwards to the human experience. If ChatGPT, Gemini or Rufus can’t understand, index and recommend your brand, we fix that first.
2. Commerce first, theory second
We like frameworks. We love testing. But nothing matters if it doesn’t move product.
Everything we do is judged on:
- Incremental sales
- Contribution margin
- Cash in the bank
If a tactic looks clever but doesn’t shift units, we drop it. If a simple change to a PDP image, a Rufus-specific FAQ or a tweak to your ad structure lifts ROAS, we double down.
No vanity metrics. No fluff. Just whether we’ve made it easier for people – and AI systems – to find you, choose you and buy you.
3. Built for challenger brands, not enterprise inertia
LMO7 is designed for brands that need to punch above their weight:
- Any brand looking to be a challenger but typically £1–10m in turnover
- Serious about Amazon and D2C
- Hungry, under-resourced, time-poor
You don’t need 80-page decks and six layers of sign-off. You need someone who can sit alongside your team, plug into your Seller/Vendor accounts, your AI search footprint and your media, and get things moving.
We bring the experience from big brands, but we run at challenger speed: short feedback loops, simple scopes, clear pricing.
4. Agentic automation with human judgment
We’re bullish on agents. But we’re not handing your P&L to a black box.
At LMO7, we use agentic systems to:
- Track how often you appear in AI assistants for your key categories
- Monitor pricing, stock, reviews and questions on Amazon
- Surface opportunities and threats you would otherwise miss
Then a human strategist steps in to decide what to do with that information.
Automation does the watching and the heavy lifting. Humans decide the trade-offs, the bets and the guardrails. That’s how we keep you fast without losing control.
5. Radically transparent performance
You should always know three things:
- What we’re doing
- What’s automated vs manual
- What impact it’s having on revenue and profit
So we keep it simple:
- Clear dashboards you can actually read
- Open visibility on tests, wins and failures
- Straightforward fees. No hidden margins, no mystery line items
If something isn’t working, we say so and change it. If we think you’re overspending in one place and under-investing in another, we’ll show you the numbers.
6. Experiment-led, fast feedback
The future of AI search and ads is uncertain. The only honest approach is to test quickly and learn faster than everyone else.
At LMO7, that means:
- Continuous experiments on PDPs, creatives, prompts and bid strategies
- Small, contained tests rather than giant, risky restructures
- A feedback loop where every test teaches the agents and us something new
Wins get rolled out. Losses get documented so we do not repeat them. Over time, you build a library of what works for your brand, your category and your price point across both search and ads.
What this means if you work with LMO7
If you’re a consumer product brand, working with LMO7 means:
You understand where you show up in AI assistants today and where you don’t
Your Amazon and D2C presence is tuned for both humans and models
You get an ongoing stream of small, measurable changes rather than occasional big “ta-da” projects
You know exactly what you’re paying for, what’s automated and what’s moving the needle
We’re not here to be another agency you have to manage. We’re here to be the part of your team that lives inside AI search, Amazon and agentic tools so you don’t have to.
Ready to secure your AI shelf-space?
If you want to see how visible your brand is across AI assistants and Amazon right now, start with a simple step:
Book a free AI Search & Ads Audit.
We’ll show you:
- Where you appear (and don’t) in AI assistants
- How your Amazon presence looks through an AI lens
- The quickest experiments we’d run in the next 90 days
Then you can decide whether LMO7 is the right partner to help you own that space before everyone else wakes up.