Head of AI Search and Growth

1 day ago

Hyderabad, Telangana, India beBeeInnovation Full time US$ 7,00,000 - US$ 10,00,000

Job Description:

We are seeking a seasoned professional to spearhead our AI Search and Growth efforts.

This individual will be responsible for developing and executing a comprehensive strategy to earn inclusion in AI answers across various platforms, including ChatGPT, Gemini, Grok, Perplexity, Bing Copilot, and Google AI Overviews.

The ideal candidate will have a strong background in growth marketing, digital marketing, and demand generation, with a proven track record of driving business outcomes through data-driven decision making.

Required Skills and Qualifications:

  • Extensive experience in growth marketing, digital marketing, and demand generation
  • Proven track record of driving business outcomes through data-driven decision making
  • Strong understanding of SEO, SEM, content, analytics, and GEO principles
  • Ability to architect and run a unified growth engine
  • Excellent communication and project management skills

Benefits:

This role offers a unique opportunity to work at the forefront of AI innovation, driving business growth and shaping the future of search and growth. The successful candidate will receive a competitive salary and benefits package, as well as opportunities for professional development and growth within the organization.

What You'll Do:

  1. Develop and execute a comprehensive strategy to earn inclusion in AI answers across various platforms
  2. Build an LLM Inclusion Scorecard: target prompts, competitor set, weekly tracking, screenshots, and change logs
  3. Create LLM-friendly assets: high-signal FAQs, How-To/Article/Guide pages, comparison tables, implementation playbooks, and concise Q&A modules aligned to real user prompts
  4. Structured data & entities: Maximum JSON-LD coverage (Organization, Product/Service, Article, Author/Person, FAQ, HowTo, Breadcrumb, Video, Event). Tight author/entity pages to strengthen E-E-A-T
  5. Original research & datasets: Publish benchmarks, studies, and open datasets (with clear licensing) that AI systems can safely cite
  6. Freshness & provenance: Keep content fresh; adopt content-provenance standards (e.g., C2PA) and clear canonicalization
  7. Standards watch: Track/embrace new AI crawling directives, provenance signals, and submission channels as they emerge

Outcomes You Will Own:

  • AI Answer Inclusion Rate (AAIR): % of target queries where our domain appears/cites in AI answers
  • LLM Citations & Mentions: Count/quality of citations and source links from AI answers and answer cards (tracked via scripted checks/manual panels)
  • Non-paid pipeline: MQLs/SQLs and revenue influenced by organic (web + AI surfaces)
  • SEM efficiency: CAC, ROAS, MER across Google/Bing/LinkedIn/Meta; share of spend in high-intent themes
  • Content authority & velocity: # of original research pieces/datasets published; authoritative backlinks; E-E-A-T signals
  • Technical health: Core Web Vitals, crawl/index health, structured-data coverage, index freshness (incl. IndexNow/Bing, GSC)
  • Experiment throughput: # of experiments shipped/month, win rate, and time-to-learning

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