AI Optimization Specialist

3 days ago

Bengaluru, Karnataka, India beBeeAI Full time ₹ 1,43,50,000 - ₹ 2,42,10,000
AI-Driven Optimization Specialist

We are seeking an innovative, data-driven specialist to maximize our brand's visibility, accuracy, and authority in Large Language Model (LLM)-powered environments.

This role fuses advanced Search Engine Optimization (SEO) practices with deep expertise in LLMs and the evolving AI-driven content ecosystem. The ideal candidate will ensure the company is discoverable, credible, and contextually represented across AI platforms such as Chat GPT, Gemini, Claude, Perplexity, and emerging AI-powered search experiences.

Key Responsibilities
  • Develop and execute a comprehensive strategy aligned with business objectives.
  • Monitor and analyze LLM query patterns, AI search trends, and knowledge ingestion sources to identify optimization opportunities.
  • Conduct competitive AI visibility benchmarking, mapping where and how competitors appear in LLM-generated outputs.
  • Leverage Profound and similar AI search insight tools to uncover LLM prompt-response biases, entity gaps, and untapped content opportunities.
Content Optimization & Knowledge Engineering
  • Partner with content to produce LLM-friendly, authoritative, and factually precise content.
  • Structure and tag information to improve AI discoverability, using schema markup, structured data, and knowledge graphs to reinforce machine understanding.
  • Ensure entity alignment across all owned content, aligning brand mentions, product descriptions, and topical authority for consistency in LLM-generated responses.
Technical Integration & AI Discoverability
  • Collaborate with web engineering teams to bake AI-visibility best practices into websites, apps, APIs, and content delivery systems.
  • Integrate Profound insights into ongoing site architecture and metadata updates for AI-driven query alignment.
Measurement & Continuous Improvement
  • Define and track KPIs unique to AI search ecosystems, including LLM brand mention frequency, position in AI summaries, and knowledge panel visibility.
  • Use A/B testing frameworks to measure the impact of content, structure, and metadata changes on LLM outputs.

Requirements:

  • Solid background of 5+ years in SEO with strong understanding of its principles, algorithms, data schema, and knowledge graphs.
  • Deep understanding of how Large Language Models work, including training data, prompt engineering, and semantic search.
  • Hands-on experience with AI search platforms, including knowledge of how LLMs select and present content.
  • Familiarity with tools like Profound, Gauge or similar.
  • Ability to structure content that LLMs will be able to discover, extract and cite in its responses to search queries.
  • Ability to define and track LLM specific KPIs and use A/B testing to impact LLM outputs.
  • Understanding of Content Management Systems and web architecture.

Education: Bachelor's degree in Computer Science, Digital marketing, or related disciplines. Certifications in SEO/AEO/GEO and emerging AI marketing disciplines will be a plus.

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