AI Search Visibility Strategy for Saffron & Slate Interiors
Executive Summary
We are pleased to submit this proposal for digital marketing services. Our team has many years of experience delivering high-quality solutions for businesses of all sizes, and we are confident we can help Saffron & Slate grow its online presence. We look forward to the opportunity to work together.
Saffron & Slate has built a strong reputation across Dubai's design community — but in the AI-search era that reputation is invisible. Our GEO audit scored the studio's site 52/100 (Grade C): when prospective clients ask ChatGPT or Perplexity for an interior design studio in Dubai, Saffron & Slate is rarely the answer, while two direct competitors are already being cited.
AI-referred traffic is growing 527% year over year. This proposal lays out a 90-day plan to close that gap and turn AI search into a predictable source of design briefs — with the ROI math, phased scope, and proof to back it. Every month of delay hands the citations to competitors who moved first.
Situation Analysis
The site scored 52/100 overall, dragged down by three weak categories from the audit:
| Category | Score | Status |
|---|---|---|
| Schema Markup | 30/100 | Critical |
| Trust Signals | 45/100 | Weak |
| AI Readiness | 55/100 | Mixed |
| Content Quality | 75/100 | Strong |
| Technical SEO | 85/100 | Strong |
Opportunities: add FAQPage + Organization schema, publish an llms.txt file, restructure top pages into answer-first passages AI can quote directly.
Proposed Solution & Scope
- SEO optimization
- Content creation
- Ongoing support & maintenance
Three vague bullets. No phases, no quantities, no exclusions — an open door for scope creep and mismatched expectations.
Schema fixes (FAQPage + Organization JSON-LD on top 10 pages), llms.txt, crawler access. Milestone: machine-readable to AI systems.
4 GEO-optimized pages/mo, answer-first restructuring, monthly re-score report. Milestone: first AI citations.
Competitor citation tracking, quarterly strategy review, compounding content plays. Milestone: predictable AI-referred briefs.
- Exclusions: paid-ads management, full site rebuild, PR / link outreach — quoted separately if needed
- Client responsibilities: CMS access, brand assets, approvals within 3 business days
- Cadence: kickoff, biweekly check-ins, monthly review · email SLA 1 business day
Investment
A naked number: no tiers, no anchor, no ROI context. Take it or leave it.
| Audit | Growth ★ RECOMMENDED | Dominate | |
|---|---|---|---|
| Price | $1,500 one-time | $3,500/mo | $7,000/mo |
| GEO audit & fixes | Yes | Yes | Yes |
| Monthly re-scoring | No | Yes | Yes |
| Content production | No | 4 pages/mo | 10 pages/mo |
| Competitor tracking | No | Yes | Yes |
| Expected 12-mo ROI | 3x | 6x | 9x |
Top tier anchors, middle tier is the target, bottom tier is the foot in the door — the engine's mandatory pricing psychology. The gold column is exactly how the PDF renderer highlights ★ RECOMMENDED.
ROI Projection
Cost of inaction: AI-referred traffic is growing 527% YoY; at 52/100 AI readiness the studio captures almost none of it — an opportunity walking to the two competitors already cited.
| Scenario | Annual value created | Annual investment | Net ROI |
|---|---|---|---|
| Conservative | $126,000 | $42,000 | 3.0x |
| Moderate | $252,000 | $42,000 | 6.0x |
| Aggressive | $378,000 | $42,000 | 9.0x |
Engine rule: the conservative case must still be positive — if it isn't, the scope or price is wrong and the agent flags it. All assumptions are stated in the generated document.
Next Steps
Please let us know if you have any questions. We look forward to hearing from you.
No path to yes, no date, no validity — the proposal ends and simply hopes.
- Review this proposal and share it with your team
- Book a 30-minute walkthrough call — two times proposed in the cover email
- Sign via e-signature and we begin within one week
Likely objections ("too expensive", "we have an agency", "does AI search matter?") are pre-handled inside the document — see the objection cards below.
Appendix — follow-up sequence, generated with every proposal: