GEO (Generative Engine Optimization) / AEO (Answer Engine Optimization) Specialist

About Perusal Global Solutions Perusal Global is a leading offshore financial research, advisory and investment company based out of Mumbai and part of a diversified business group with investments across hospitality, packaging, retail, and shipping. The company has clients across the USA, Europe, Australia, the Middle East, and India. Our team has rich experience in executing investment, equity, business research, and consulting projects across asset classes globally. The research we deliver to our clients is tailor-made, comprehensive, and insightful. We work as an extended team for investment banks, brokerage houses, private equity firms, venture capital funds, asset management firms, and corporates.

Our Culture We are a growing organization, and we believe our people are key assets to our business. Our HR vision ensures that all our team members are provided with the means to achieve their career objectives and improve their skill sets through cross-learning. We make efforts to create an efficient and productive workplace, which enhances work satisfaction by providing handholding from induction to training to final onboarding. There is a healthy dose of competition among teams, which, however, never overwhelms the professional culture. We proactively take feedback from our team members to make the workplace better and address any issues at an early stage.

Location:

Mumbai (Andheri East) Work Timings :

10:45 AM to 7:45 PM Working Days :

5 Days a week (should be flexible to work on weekends, if needed) Mode of Work:

Onsite

Job Title: GEO (Generative Engine Optimization)/AEO (Answer Engine Optimization) Specialist The GEO/AEO Specialist position is a mid/senior-level role designed to o immerse candidates in the dynamic world of AI search optimization. The GEO/AEO specialist role involves leading our organization’s organic discoverability and AI visibility strategy. T his is not a digital marketing or social media marketing role.

This is a technical and analytical role focused on search architecture, structured knowledge systems, and AI retrieval optimization. The candidate will work with research, content, and IT teams to convert high-value research into machine-readable, authoritative knowledge assets optimized for search engines and AI systems.

Core Objectives: Position firm research as authoritative sources for AI systems in particular and search engines in general. Strengthen topical authority in specialized financial domains. Improve organic discoverability among qualified enterprise audiences. Build structured, machine-interpretable knowledge infrastructure.

Required Qualifications: 3+ years in technical SEO, structured content optimization, or search intelligence. Experience with semantic search and structured data implementation. Ability to analyze performance signals and translate insights into measurable outcomes. Experience with research-intensive or enterprise content environments preferred. Graduate in any discipline.

Roles and Responsibilities: Align SEO best practices with AI indexing and citation mechanisms. Optimize content for AI summaries, answer engines, zero-click searches, and conversational queries. Track brand visibility and citation presence across AI-generated outputs. Conduct technical audits covering crawlability, indexing, canonicalization, structured data, and schema implementation. Review XML sitemaps, indexation status, HTTP signals, and overall information architecture. Strengthen internal linking frameworks, taxonomy structures, and content hierarchy. Improve semantic clarity and entity recognition across search and AI systems. Develop topical authority clusters and identify emerging industry themes and content gaps. Structure research publications for semantic precision and stronger knowledge graph integration. Enhance entity credibility and expand presence across high-trust platforms such as LinkedIn, Quora, YouTube, Wikipedia, and reputable news publications. Structure content for LLM comprehension using clear entity definitions, contextual segmentation, and layered depth. Implement structured datasets to improve retrieval and citation probability Evaluate AI output representation and citation accuracy. Refine content frameworks to improve inclusion frequency in generative responses. Monitor rankings, crawl statistics, structured data health, and AI citation frequency. Build dashboards and run structured experiments to improve engagement quality and qualified inbound leads. Translate audit findings into actionable engineering tasks. Align publishing workflows with discoverability best practices and monitor algorithm and AI retrieval updates.

Key Skills: Strong technical SEO expertise (crawling, indexing, canonicalization, Core Web Vitals). Understanding of AI-driven search and retrieval systems. Experience with Google Search Console, Semrush, AirOps, PeecAI and leading GEO/ AEO platforms. Knowledge of Schema.org and entity-based optimization. Ability to structure content for answer engines (clear headings, FAQs, structured formatting). Working knowledge of HTML, CMS platforms, and technical audits. Strong analytical skills with data-driven decision making.

Desired Candidate’s Profile: Familiarity with LLM retrieval systems, embeddings, or vector search concepts. Experience designing taxonomy or knowledge graph structures. Experience with AI citation monitoring tools. Exposure to financial research or KPO environments. SEO certification (optional).

KPIs: Growth in organic visibility across target sectors. Increase in AI answer placements and citation frequency. Improved structured data coverage and index health. Growth in qualified enterprise inbound leads. Authority ranking within defined niche topics.

If interested, please apply on the LinkedIn Job post (GEO/AEO Specialist) or mail your updated resume with the subject line Applying for GEO/AEO Specialist position to sneha.singh@perusalglobal.com.