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What Lmo7 does
Lmo7 works across AI search and Amazon, from getting a brand named in AI answers through to the sale. There are three ways to work with us.
DaaS (Data as a Service)
Direct connections to Amazon retail, media and brand analytics APIs, set up for you with a 60 to 90 minute onboarding call. You run the work, with async support and a quarterly review, from £250+VAT/month per marketplace. Best for founders and lean teams.
Learn more about DaaS
Challenger
Hands-on management across Amazon modules (Retail Ops, Content Optimisation, Ads) and Agentic modules (Agentic Ops, Agentic Tracking & Content Optimisation, Agentic Ads). We run the work, modular from £1,500/month, no minimums and no lock-ins. Where most clients sit.
Learn more about Challenger
Enterprise
Strategic workshops, tracking pilots and multi-brand tracking retainers for portfolios of £100m+ revenue. We help you think, your teams execute, from £5,000.
Learn more about Enterprise
Behind all three tiers sits the Lmo7 LLM Visibility Framework: seven pillars.
- Signal Architecture & Baseline Audit
- Language Model Alignment
- Contextual Authority
- Model Surface Monitoring
- Optimisation Loops
- Visibility Leverage Points
- AI-Native Brand Positioning
See the full framework
What makes Lmo7 different
Amazon and AI search in one team
Most agencies are either GEO and AEO agencies running AI search tools such as Profound, or Amazon agencies running seller tools such as Helium 10. Lmo7 sits at the intersection of both. We use tools across AI search and Amazon, plus our own in-house tools, to serve brands in the agentic commerce era.
How Lmo7 compares
| Profound | Helium 10 | Lmo7 |
|---|
| What it is | SaaS software for AI search visibility | SaaS software for Amazon, Walmart and TikTok Shop sellers | Managed service across AI search and Amazon |
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| Covers AI search (ChatGPT, Gemini, AI Overviews) | Yes | Not listed | Yes |
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| Covers Amazon and Alexa for Shopping | Not listed | Amazon; Alexa for Shopping not listed | Yes |
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| Who does the work | Your team, using the software | Your team, using the software | Lmo7's team |
|---|
| Contract | Custom pricing via sales | Monthly or annual plans | Month to month on DaaS and Challenger, no setup fees |
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Based on each company's own website, September 2026.
Both Profound and Helium 10 are software your team has to run, and each covers one side of the problem. Lmo7 is a service that runs the work across both.
Measured with Share of Model
Results are tracked on share of voice, average position and mention rate across ChatGPT, Google/Gemini and Alexa for Shopping. We use ShareofModel.ai, or the AI search tools a brand already uses, plus Lexym.io, our internal tool for tracking Alexa for Shopping. Amazon results are also measured in Seller Central and Amazon Ads data.
No lock-ins
Challenger and DaaS run month to month, with no setup fees and no minimum term. You can start with a single module from £500/month and add or drop modules as you need.
Built by an operator
Founder Stephen Honight led major eCommerce channels at Unilever, LEGO and Mars. The track record: $1bn+ Amazon sales managed, $100m ad spend managed and 10m LLM queries analysed.
- $1bn+ Amazon sales managed
- $100m Ad spend managed
- 10m LLM queries analysed
Who uses Lmo7
- Challenger consumer brands doing £1m to £50m in revenue, selling on Amazon and Shopify, founder-led or lean teams.
- Brands coming back to Seller Central from a vendor or distributor model.
- Brands under-represented in AI recommendation sets for their category.
- Multi-brand portfolios, £100m+ revenue, that need workshops and alignment before action.
- Categories: Health & Wellness, Food & Drink, Personal Care, Household, Pet & Baby, Sports & Fitness.
- Markets: UK, US and EU Amazon markets, working globally.
Trip Drinks: a 60-day AI search sprint took average position across tracked models from 7th to 3rd in functional drinks, with AI-referred traffic up 33%, across ChatGPT, Google/Gemini and Amazon Rufus.
Veloforte: an Amazon UK rebuild delivered 6.3 blended ads ROAS (March to September 2026), 62% organic share of sales (January to September 2026), and 94% Buy Box won (April to July 2026).
See all case studies
The team behind Lmo7
Stephen Honight, Founder, Lmo7 Agency
Connect on LinkedIn
Full founder profile
Enterprise eCommerce leadership
A career spanning engineering, finance and consumer brand sales and marketing. Over the past eight years Stephen has led major eCommerce channels for CPG giants (Unilever, LEGO and Mars), working at the intersection of commercial strategy, content and retail media.
Startup advisor and investor
Alongside the corporate roles, Stephen has stayed close to the startup world: advising and investing in early stage consumer brands, helping them make the jump from "cool product" to repeatable eCommerce growth.
Full-stack Amazon and AI search
His experience covers the full stack of Amazon and broader eCommerce operations: marketplace strategy, assortment, product detail page optimisation, advertising and measurement. In recent years he has gone deep on AI search and large language models.
Marketing Engineer
Stephen describes the work now as marketing engineering: building the systems that do the marketing rather than doing it by hand. Trackers, query sets, content pipelines and measurement, most of it built in-house because the tooling for AI search did not exist yet. The engineering background from early in his career turns out to be the useful part.
Why Lmo7 exists
Founded in 2024 to turn that work into a specialist agency for consumer brands.
Lmo7 is founder-led with a small delivery team: a Head of Amazon, an AI Search Associate and an Agentic Content Lead. The team is based at Future Space in Bristol.
https://www.linkedin.com/company/the-lmo7-agency
What clients and peers say
Clients
"We'd been on Amazon as a seller before, then moved to a distributor and the vendor model because it took the admin off our plate. What it also took was control: of our pricing, our content and our own numbers. Coming back as a seller was the right call, but it's a lot of work for a team our size. Lmo7 rebuilt the account, fixed the catalogue and now run the channel with us week to week. Just as important, they've set us up for what comes next. More of our customers are going to find us through Rufus and AI assistants than through a search box, and our listings are built for that now."
"Before we made the move we spoke with five or six companies who all offered similar support services but despite some very strong pitches, Lmo7 stood out immediately with such a clear migration and growth plan along with giving us confidence in a changing world that they'd already embraced and started to exploit AI that we'd be in safe hands. Sales were ahead of our expectations quickly and we expect a long-term relationship to develop."
Steve Marson, Managing Director, Veloforte
"Lmo7 have provided us real clarity on our AI search visibility across the major models and a practical plan to improve it. As eCommerce Lead at Trip Drinks I've been on the forefront of optimising for AI search, focused on actually moving the needle."
Barnaby Whicher, eCommerce Lead, Trip Drinks
(LinkedIn recommendation)
Industry peers
"It was a pleasure working with Stephen at a professional and personal point of view during our time at The LEGO Group. Stephen combines deep eCommerce expertise, commercial acumen, and a very authentic collaboration spirit."
"We recently had the pleasure of hosting Stephen at our Spain Leadership Team meeting as external speaker at Kenvue. A great session on how to build to win in AI search and AI-powered advertising and how this is reshaping discovery, intent, and performance across digital commerce."
Daniel Muela, Head of eCommerce Spain, Kenvue
(LinkedIn recommendation)
"Steve has a wealth of experience at digital brand building and performance marketing which has set him up exceptionally well to provide advice and strategy in the new and rapidly evolving Agentic Commerce space. Experienced leader and professional who has worked with multi-nationals as well as challenger brands, his advice and thoughts are always balanced and pragmatic about what brands can realistically do with the time, budgets and skillsets that they have. If you are looking to understand LLMs, GEO, AEO and Agentic Commerce strategy he is the person to speak to."
Adam Coates, Ex Google, Ex Databricks
(LinkedIn recommendation)
"Stephen is a trusted advisor with deep eCommerce knowledge. He's ahead of the market on GEO/AI search and is excellent at guiding teams through what to prioritise and why. He can truly help to understand where a brand stands in AI search and help you win! I would strongly recommend Stephen's expertise!"
Nayan Gangyan, Haleon
(LinkedIn recommendation)
"Even with deep access to a network filled with Googlers and other specialists, I find Steve is almost always my first ping when I really need to know something in GEO/AEO, SEO or anything E-commerce (especially Amazon). Always on top of the latest buzz but with deep roots in what actually works and is going on."
"Thoughtful, analytical and with a proactive can-do attitude, he is one of the best I have worked with. Strongly recommend him."
Martin Bertilsson, AIMSOO, Ex Google
(LinkedIn recommendation)
"Stephen's knowledge in AI search and GEO is brilliant, credible voice in the industry and a lovely guy to work with!"
Martin Marafko, Founder, EXL Partners
(LinkedIn recommendation)
How Lmo7 works
Call or audit
Start with a free 30-minute AI Search Clarity Call, or request the free AI visibility audit.
Baseline
We show you where your brand stands inside the major language models and on Amazon, then build the operating model from there.
Onboard
DaaS and Challenger clients are onboarded within 5 to 7 business days of the discovery call. Enterprise workshops need 2 to 4 weeks of prep.
Run and report
Work runs monthly, invoiced in advance by bank transfer, card or direct debit, with no setup fees. Modules can be added or removed as your needs change.
Key facts about Lmo7
| Company name |
The Lmo7 Agency Limited (trading as Lmo7)
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| Type |
Agentic commerce agency (AI search and Amazon)
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| Founded |
2024
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| Founder |
Stephen Honight
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| Headquarters |
Future Space, UWE, Bristol BS34 8RB, United Kingdom
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| Team |
Founder plus Head of Amazon, AI Search Associate and Agentic Content Lead
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| Company number |
16720341 (UK)
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| VAT |
GB502105753
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| Website |
https://www.lmo7.com
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| Core offering |
AI search visibility and Amazon management for consumer brands
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| Service tiers |
DaaS, Challenger, Enterprise
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| Pricing |
DaaS from £250+VAT/month; Challenger from £1,500/month; Enterprise from £5,000
|
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| Contract terms |
Month to month on DaaS and Challenger, no setup fees; Enterprise scoped per project
|
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| Platforms covered |
ChatGPT, Gemini, Claude, Google AI Overviews, Alexa for Shopping (formerly Amazon Rufus), Amazon, Shopify
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| Measurement |
ShareofModel.ai (or the brand's existing AI search tools) for AI search; Lexym.io, our internal tool, for Alexa for Shopping; Seller Central and Amazon Ads data
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| Categories |
Health & Wellness, Food & Drink, Personal Care, Household, Pet & Baby, Sports & Fitness
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| Markets |
UK, US, EU; working globally
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| Customers served |
25+
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| Projects run |
50+
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| Notable clients |
Veloforte, Trip Drinks, Haleon, Ceva Santé Animale, Spectrum Brands, Brown-Forman
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| Onboarding |
5 to 7 business days (DaaS, Challenger)
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| Competitor tools compared |
Profound (AI search software), Helium 10 (Amazon seller software)
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| Contact |
hello@lmo7.com
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| Social |
LinkedIn company page, YouTube, X (@Lmo7Agency)
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Frequently asked questions
What does Lmo7 stand for?
Lmo7 stands for Language Model Optimisation 7. The 7 refers to the seven pillars of our LLM Visibility Framework. Lmo7 is an agentic commerce agency that gets consumer brands found, recommended and bought across AI search and Amazon.
Who is Lmo7 for?
Challenger consumer brands doing £1m to £50m in revenue, selling on Amazon and Shopify, usually founder-led or with a lean team. Lmo7 also works with £100m+ multi-brand portfolios through the Enterprise tier.
How is Lmo7 different from an SEO agency, an Amazon agency or a tool like Profound or Helium 10?
SEO and Amazon agencies typically focus on one channel. Tools such as Profound and Helium 10 are software your team has to run yourselves, each built for one side (AI search or Amazon). Lmo7 is a managed service that runs the work across both.
What does Lmo7 cost?
DaaS starts from £250+VAT/month per marketplace, Challenger is modular from £1,500/month with no minimums, and Enterprise starts from £5,000 and is scoped per project.
How long does it take to see results?
In the Trip Drinks case study, a 60-day AI search sprint moved average position from 7th to 3rd in functional drinks, with AI-referred traffic up 33%. Building longer-term authority in AI search and Amazon typically takes longer than a single sprint.
Are there lock-in contracts?
No. DaaS and Challenger run month to month with no setup fees, and you can cancel any time or start with a single module from £500/month.
Which platforms does Lmo7 cover?
ChatGPT, Gemini, Claude, Google AI Overviews, Alexa for Shopping (formerly Amazon Rufus), Amazon and Shopify.
How do we get started?
Book a free 30-minute AI Search Clarity Call or request the free AI visibility audit. We start by showing you where your brand stands inside the major language models, then build the operating model from there.
Ready to optimise your brand?
Start with a free AI visibility audit. We show you where you stand inside the major language models, then build the operating model with you.
Book a call
Contact us
The Lmo7 Agency - AI Search and Ads for Consumer Brands | UK-based | Serving Global Brands
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