Panorama
Public signals: established in 1970, RICS regulation, family ownership, Golden Mile offices.
Prepared by MQP for CarlingPetri
CarlingPetri AI Visibility Sprint
A practical 30-day plan to make CarlingPetri clearer, more credible, and easier for AI systems to understand, cite, and recommend.
0/19
Baseline mentions in recorded AI answer tests
4
AI/search environments tested
30
Days for the first focused implementation sprint
Plan
Actions, deliverables, timeline, and realistic outcomes
02
The Commercial Situation
CarlingPetri already has the right instinct. Buyers and sellers are starting to ask AI tools for agency recommendations. The issue is that those systems currently have clearer public source signals for competitors.
Original market signal
"What is the best real estate agency in Marbella?"
This is exactly the kind of question future clients will ask before they ever submit an enquiry form.
What appeared
What it means
Competitors appeared repeatedly
AI tools have easy-to-explain reasons to mention them.
CarlingPetri did not appear in the baseline
The public source footprint is not yet doing enough work.
The website exists and has useful foundations
The opportunity is clarity, structure, and authority signals.
03
Why Competitors Are Easier To Recommend
AI systems tend to repeat brands that are simple to explain and supported by multiple public sources. The pattern is not magic: competitors have clearer public proof signals.
Drumelia
Public signals: luxury positioning, in-house marketing, video production, social visibility.
Engel & Volkers
Public signals: global brand, six local Marbella shops, area-specific office footprint.
DM / Knight Frank
Public signals: founded in 1989, Knight Frank association, market reports and guides.
Nordica
Public signals: operating since 1981, Nueva Andalucia offices, international buyer focus.
Pure Living / Homerun / Solvilla
Public signals: clear niches around Puente Romano, lifestyle marketing, and contemporary villas.
04
The Visibility System
This is not about trying to manipulate ChatGPT. It is about strengthening the sources that AI and search systems already use when deciding which agencies are credible enough to mention.
CarlingPetri
Clear luxury real estate entity
Website
Metadata, entity copy, schema, priority pages
Local Signals
Google profile, reviews, NAP consistency, area relevance
Authority Content
Guides that answer buyer and seller questions directly
Third-Party Sources
Directories, portals, profiles, mentions, partner pages
Tracking
Prompt set, competitors, citations, monthly movement
05
The Recommended First Step
A focused sprint is the cleanest way to move from insight to action without committing CarlingPetri to a vague long-term retainer.
Recommended
AI Visibility Foundations Sprint
A 30-day implementation sprint to improve the public source footprint that AI/search tools use to understand and recommend Marbella real estate agencies.
EUR
2,500
one-time sprint
Practical
Concrete changes, briefs, checklists, and implementation support.
Measurable
Prompt visibility, competitor frequency, citation sources, and source coverage.
Honest
No fixed ranking guarantee. The goal is increased likelihood and visibility frequency.
06
Specific Actions And Deliverables
The sprint gives CarlingPetri a practical operating plan plus implementation-ready assets. It is designed so their team or web provider can move quickly.
Expanded AI visibility baseline
30-50 prompt tests across ChatGPT, Perplexity, Gemini, and Google AI Mode/AI Overview where available. Includes competitor frequency, answer framing, and citation/source notes.
Competitor and source-footprint map
Shows which agencies appear, why they appear, which sources AI systems rely on, and where CarlingPetri has practical gaps to close.
Priority page metadata recommendations
Implementation-ready titles, descriptions, and visibility notes for 8-10 priority pages such as About, Properties, New Developments, Marbella, Golden Mile, Nueva Andalucia, buyer/seller pages, and contact.
Entity and schema recommendations
Clearer structured signals for the business, locations, founders/team, services, reviews, and key pages so search and AI systems can interpret the company more confidently.
Google profile, reviews, and local signal checklist
Practical improvements for local discovery: profile completeness, services, descriptions, Q&A, photo cadence, review prompts, and NAP/citation consistency.
Authority content briefs
3-5 briefs for pages designed to answer AI-style questions, including how to choose an agency in Marbella, buying as an international buyer, selling a villa, Golden Mile, and Nueva Andalucia.
Implementation support and retest
Clear tickets for the web team, review of implemented changes, retest of the prompt set, and a next 60-day roadmap.
07
30-Day Timeline
The work is sequenced to create clarity first, then implementation assets, then live review and retesting.
Baseline map
Expanded prompt tests, competitor matrix, source/citation map, priority page review.
Entity plan
Metadata sheet, schema/entity recommendations, Google profile and local signal checklist.
Authority assets
Content briefs, third-party source checklist, review-generation workflow, implementation tickets.
Review + retest
QA of completed changes, retest against the prompt set, next 60-day improvement roadmap.
08
Investment Options
The 30-day sprint is the practical implementation route. If you would prefer to validate the work before moving into implementation, the diagnostic gives you a lower-commitment starting point.
Smaller first step
Focused GEO Diagnostic
EUR 750
1 week. Expanded baseline, source-footprint audit, and prioritized implementation plan.
- Best if they want more evidence first.
- Can be credited toward the sprint if approved within 14 days.
Recommended
AI Visibility Foundations Sprint
EUR 2,500
30 days. The full practical sprint: baseline, source map, metadata, schema/entity recommendations, local profile plan, content briefs, implementation support, and retest.
- Founder-led by MQP.
- Designed to create measurable movement and a clear next roadmap.
After the sprint
Monthly Tracking And Improvement
EUR 750/mo
Monthly retesting, competitor monitoring, citation/source tracking, recommendations, and one review call.
- Useful after foundations are in place.
- Can be reviewed month by month.
09
What Can Realistically Be Expected
This work improves the factors that make CarlingPetri more likely to be mentioned. It does not create a fixed guaranteed ranking in ChatGPT, Gemini, Perplexity, or Google.
The honest answer
No provider can honestly guarantee that CarlingPetri will appear in a specific number of AI answers. Results vary by model, date, user, location, and source set.
The measurable goal
Improve visibility frequency across a controlled prompt set, strengthen the sources AI tools can rely on, and increase CarlingPetri's share of credible recommendation signals over time.
Track
AI answer mentions
How often CarlingPetri appears across the agreed prompt set, by tool and by search intent.
Track
Competitor frequency
Which agencies appear most often, what wording is used, and whether the competitor mix changes over time.
Track
Citation/source coverage
Which websites, profiles, guides, and local sources AI tools appear to rely on when forming answers.
Track
Local authority signals
Google profile quality, review signals, local consistency, area relevance, and third-party profile strength.
10
Recommended Next Step
If the approach feels right, the clean next step is to approve the 30-day sprint and use week one to lock the baseline, source map, and implementation priorities.