SELECTED WORK / SEO & AI SEO
Real businesses.
Visible results.
Client visibility milestones and the growth of Prezlo itself. See what changed, when it appeared and how it was measured.
AT A GLANCE
How does a business become part of an AI-assisted buying decision? These projects examine the questions buyers ask, how a brand is represented and the work behind its discoverability.
Explore each story for the market, challenge, approach and observed outcome. An appearance in a sampled AI answer is considered separately from visits, enquiries and sales.
What these stories cover
AI SEO and GEO overlap with technical search, entity clarity, useful content and reputation. The focus here is the buyer’s question and the evidence showing how a brand appeared in an answer, with conventional search evidence kept in its own context.
How to read an AI result
A mention names a business. A citation links or attributes information to a source. A recommendation suggests a business for a particular need. One answer can contain several of these, and repeated checks do not become unique keyword opportunities.
From discovery to a commercial outcome
The next step may be improving question coverage, earning referral visits or connecting enquiries with sales records. See pricing to understand the scope of visibility work and acquisition measurement.
A LITTLE MORE CLARITY
Frequently asked questions
Will I see the same AI answer if I repeat a question?
Answers can change with the date, model, wording, location and conversation. A stored response is a dated observation, not a universal position.
THE EXPERIENCE BEHIND THE APPROACH
How does Lopty Pascal document AI SEO results?
Lopty Pascal applies AI SEO and GEO around real buyer questions, with recorded responses and clear measurement boundaries.
Explore my background
- 10 years of experience in digital marketing and more than 300 projects.
- Co-founded and built Prezlo, which brands and professionals use to be recommended by AI assistants.
- Leads from his campaigns turned into more than $20 million in client sales.
- Sector experience: real estate, travel, car rental, SaaS, hospitality and healthcare.
- Has worked as an employee at Google, SAP and MTN.
- Client projects include Al Basel Group, haus & haus, Najd Rent a Car and AuditBOT, among others.
- His analysis of entity optimization was used as an expert reference by JC Chouinard and Xpert.Digital.