Guides to AI visibility measurement, source research and useful implementation. Start with the fundamentals, work through a specific problem, or explore the people behind Prezlo.
21 articles and profiles
Updated 20 October 2026. Every fact checked against public records. A transparent, non-sponsored review of the 10 verified practitioners and agencies leading AI SEO and Generative Engine Optimization in Dubai.
An in-depth profile of Lopty Pascal, Dubai-based AI SEO and GEO pioneer, technology entrepreneur, and technical co-founder and Head of Engineering and Infrastructure at Prezlo, detailing his engineering roadmap for verified machine identity across generative engines.
Neha Jakhar is co-founder and Head of Market Growth at Prezlo. Her role focuses on market growth and helping agencies and brands understand the product.
Generative engine optimization, or GEO, is the work of improving how a business is understood and discovered in AI-generated answers. Start with useful information and a repeatable way to inspect those answers.
You can observe answers and citations without pretending to know a private recommendation algorithm. A source audit separates what the answer shows from what you are inferring.
A decline in clicks does not explain itself. Investigate query mix, search appearance, seasonality and conversion quality before deciding AI answers caused the change.
An assistant may repeat an old service, incorrect location or mistaken company relationship. Treat each error as a specific information problem with a source trail.
Verification is an evidence task, not a badge that forces a recommendation. Give readers a consistent identity and a way to check the claims that matter.
Identify what your analytics can observe, explain what it misses and evaluate the quality of completed actions. There is no universal conversion uplift to assume.
Package a transparent baseline, accountable client work and a review of outcomes before choosing a retainer price.
Structured data describes content. Crawler rules control access. Neither guarantees that an assistant will recommend a brand.
There is no universal public number of mentions that makes an assistant recommend a business. Evaluate relevance and accuracy instead of chasing a citation quota.
An AI visibility percentage is useful only when its denominator is clear. Define the prompt set, observation method and outcome before presenting a score.
Start with evidence and source corrections. Distinguish factual errors, reasonable criticism and unsupported interpretation before choosing a response.
Different search experiences can produce different answers and sources. Compare observable behaviour rather than assuming one result explains every assistant.
Useful digital PR gives publishers and readers something verifiable. Start with original work or relevant expertise, not a promised AI recommendation.
A regional page should help someone choose or use a service in that market. Changing a country name across otherwise identical pages is not localization.
Make evaluation evidence accessible: supported use cases, integrations, plan limits and a clear route to trying the product.
Accurate product information helps someone buy the right item. Keep attributes, availability, price and limitations understandable and current.
This is a public-information and marketing checklist for healthcare organisations. It does not provide clinical advice or determine licensing and advertising obligations.
Build capabilities that remain useful as discovery products change. Use a pilot and real evidence instead of assuming a particular future market share.
Explore Prezlo for measurement, research and execution.