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DaaS Deliverables — Entry Tier
From £250+VAT/month · API setup in Week 1, onboarding in Week 2
We connect you directly to the Amazon APIs for retail, media and brand analytics. Your team runs the work from there.
Week 1: Setup
- Amazon retail, media and brand analytics API connections established for your marketplace
- Data environment configured and tested for your team
- Access credentials and setup documentation provided to relevant team members
- Initial data validated against your live catalogue and campaigns
Outcome: The API connections are live and your team has access to the data.
Week 2: Onboarding session
- 60–90 minute walkthrough: what data is available across each API stream
- How to pull and interpret the metrics that matter for your business
- Live worked examples using your brand's own data
- Recording shared for team members who couldn't attend
Outcome: Your team can pull and read the data without further help.
Month 1 onwards: ongoing use
- Self-serve access to retail, media and brand analytics data
- Async support when you need help interpreting what you're seeing
- Monthly tracking of the metrics that matter to your business
Quarterly: upskilling refresh
- 60-minute review of new API data and metrics available from Amazon
- Updated recommendations based on your last 90 days of data
- Data access expanded or refined as your needs evolve
Example Module — Challenger Core Tier
Agentic Tracking & Content Optimisation
from £1,000+VAT/month
Our process is underpinned by the LLM Visibility Framework that we have been refining since 2024.
Month 1: Foundation & Audit
Focus: Understand current AI visibility and establish content baseline
Deliverables:
- AI visibility audit across ChatGPT, Gemini, Claude, Perplexity, and Alexa for Shopping
- Content gap analysis: what queries you should appear for but don't
- Competitor citation benchmarking
- Content roadmap and priority pages identified
- Brand voice and entity documentation for LLM consistency
Outcome: Clear picture of where you stand and a prioritised plan for content creation.
Month 2: Core Content Creation
Focus: Build foundational long-form content that models can cite
Deliverables:
- 4 long-form LLM-optimised articles (2,000+ words each)
- Structured with headers, summaries, and citation-friendly formatting
- Internal linking architecture for topical authority
- Schema markup implementation for each piece
- Publishing and indexation monitoring
Outcome: First wave of content live and being indexed by AI models.
Month 3: FAQ & Comparison Assets
Focus: Create answer-ready content for specific query types
Deliverables:
- Comprehensive FAQ hub (20+ questions with structured answers)
- 2 comparison pages (vs competitors or product categories)
- "Best of" and listicle content for recommendation queries
- Question-answer schema implementation
- AI response testing and refinement
Outcome: Content specifically designed to be extracted as AI answers.
Month 4: Visual & Multimodal Optimisation
Focus: Optimise for multimodal AI models that process images
Deliverables:
- Image alt-text audit and optimisation across site
- Visual metadata enrichment for product images
- Infographic creation for complex topics (2 pieces)
- Video transcript optimisation (if applicable)
- Multimodal AI testing (GPT-4V, Gemini Vision)
Outcome: Your visual content is comprehensible to AI models, not just humans.
Month 5: Authority & Citation Building
Focus: Earn external citations and references from AI models
Deliverables:
- Digital PR outreach for AI-friendly placements (3-5 targets)
- Expert quote and data contribution opportunities
- Wikipedia and knowledge base reference audit
- Brand entity strengthening across the web
- Citation tracking setup and baseline measurement
Outcome: External signals that reinforce your brand authority to AI models.
Month 6: Optimisation & Expansion
Focus: Measure results and plan next phase
Deliverables:
- Full AI visibility re-audit and comparison to Month 1
- Content performance analysis (which pieces drive citations)
- Conversion tracking: AI-referred traffic to revenue
- Strategic recommendations for next 6 months
- Content refresh priorities identified
Outcome: Measurable improvement in AI visibility with a clear path forward.
Monthly Reporting (Included Throughout)
Every month you receive:
- AI mention tracking across major models
- Ranking and citation position changes
- Traffic from AI-referred sources
- Content performance metrics
- Next month priorities and recommendations
Enterprise Deliverables — Scale-up Tier
From £5,000 · Workshop, tracking pilot and retainer across three phases
Enterprise engagements deliver in three connected phases. Every output is layered for executive, operational and implementation audiences.
Phase 1: Workshop — From £5,000
Focus: Stakeholder education, category framing and prioritised recommendations.
- Workshop deck (full branded slides, tailored to your brand portfolio)
- Live half-day session with your relevant teams
- Recording for attendees who couldn't join
- Live walkthrough of how Rufus, ChatGPT and Perplexity describe your brands and competitors today
- Category and competitor context document
- Prioritised recommendations for content, PDP, search, retail and media teams
- Workshop attendee Q&A pack
Outcome: Internal alignment on the AI search opportunity, what's at stake and where to start.
Phase 2: Tracking pilot — £5,000 – £10,000
Focus: Establish baseline visibility across selected brands and prompts.
- Multi-brand Share-of-Model dashboard
- Baseline visibility report covering each in-scope brand and category
- Competitor benchmarking across the selected query set
- Query cluster analysis
- Prioritised recommendations specific to each brand's position
- Follow-up review session to agree the recurring cadence
Outcome: Measured baseline. Decision-ready data on where to focus internal investment.
Phase 3: Ongoing tracking + recommendations retainer — £20,000 – £80,000 / year
Focus: Recurring tracking, regular update packs and stakeholder-alignment sessions.
- Update pack covering Share-of-Model changes, competitor moves and category-wide AI search shifts
- Prioritised recommendations for the next period
- Specific examples for content, PDP, retail and media teams
- Stakeholder-alignment session (typically quarterly)
- Roadmap maintenance reflecting changes in the AI search landscape
Outcome: Sustained internal capability. Your teams know what's changing, where you stand and what to do next.
Note: Enterprise doesn't include hands-on ops, content or ads delivery. That's Challenger. Enterprise is consultative tracking and recommendations for the client to action internally.
Choosing the Right Tier
DaaS if you want the data and the training to use it, and you'll run the work yourself.
Challenger if you want us to run the work month-by-month with clear deliverables and reporting.
Enterprise if you have multiple stakeholders, internal teams and need workshops and tracking rather than hands-on delivery.
The Lmo7 Agency - AI Search and Ads for Consumer Brands | UK-based | Serving Global Brands
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