AI SEO & GEO Specialist | PureLogics
2h ago⚠️ Before applying, please carefully review all the job requirements
- Location:
- Lahore
- Experience:
- 1–3 years of hands-on SEO or content optimization
- Job Type:
- Onsite | Full Time
- Company:
- PureLogics
- Salary:
- Negotiable
- Working Hours:
- 1:00 PM – 10:00 PM
Job OverviewThis position centers on search engine optimization and emerging generative engine discovery strategies at PureLogics. The selected candidate will focus on enhancing brand visibility across traditional search engines and AI-driven answer systems. Core technical responsibilities involve optimizing content for artificial intelligence platforms, monitoring organic performance indicators, analyzing search intent, and organizing thematic topic clusters. Day-to-day operations require working with analytical tools such as Google Search Console, Google Analytics 4, Ahrefs, and SEMrush to refine content structures and semantic alignment. This on-site opportunity is well-suited for digital marketing professionals and SEO practitioners who possess a computer science foundation and have practical experience in natural language processing concepts and LLM-focused optimization techniques.
Key Responsibilities
- • Optimize web content and digital assets for traditional search engines, answer engines, and generative AI search platforms.
- • Analyze user search intent, natural language patterns, and semantic search concepts to structure complex technical information effectively.
- • Utilize industry tools including Google Search Console, Google Analytics 4, Ahrefs, and SEMrush to monitor site health and performance metrics.
- • Build topic clusters, establish citation signals, and enhance digital brand authority across web channels.
- • Target featured snippets and AI-generated summaries to improve brand discoverability in response engines.
Required Skills and Qualifications
- • Bachelor’s degree in Computer Science or a related academic discipline.
- • 1–3 years of direct experience conducting search engine optimization or content optimization.
- • Solid core knowledge of foundational SEO standards and web discovery best practices.
- • Practical familiarity with Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and LLM-targeted search strategies.
- • Hands-on working experience with diagnostic and keyword tools such as Google Search Console, GA4, SEMrush, or Ahrefs.
- • Proven ability to organize, clarify, and present complex technical information in a clear structure.
- • Comprehension of semantic search principles, natural language processing concepts, and intent mapping.
- • Background or experience within SaaS, Software Services, or HealthTech sectors is considered beneficial.
- • Exposure to securing featured snippets, managing topic clusters, and building brand citations is preferred.
Who May Be a Good Fit for This Role?This role may be suitable for candidates who combine a technical computing background with practical experience in search engine optimization and digital visibility. SEO specialists interested in modern search paradigms—such as generative engine discovery, answer engine mechanics, and artificial intelligence content synthesis—will find these duties closely aligned with their professional focus. Additionally, applicants seeking a full-time, on-site role in Johar Town, Lahore, with working hours from 1:00 PM to 10:00 PM may consider this position a well-matched opportunity.
Application TipsApplicants may want to highlight past achievements in organic search growth, successful deployment of topic cluster models, or strategies used to secure featured snippets and answer box visibility. Including specific examples of work involving analytics tools, data tracking in Google Analytics 4, or technical content structuring in a CV or portfolio can clearly demonstrate capability. Candidates may also find it helpful to emphasize any direct experience optimizing content within technical industries such as software services, HealthTech, or SaaS platforms.
Apply Now: amna.ayyaz@purelogics.net