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APEXneural - Head - AI Search & Growth - GEO / SEO / SEM

APEXneural - Head - AI Search & Growth - GEO / SEO / SEM

ApexNeural Private LimitedHyderabad, India
30+ days ago
Job description

Role : Head of AI Search & Growth (GEO / SEO / SEM)

Function : Growth Marketing | Digital | Demand Gen

Reports to : Founders (Apex Neural)

Team scope : Build and lead a small pod (content, performance, marketing ops / analytics); scale as outcomes grow.

Why this role exists

Apex Neural is building 5060 digital ideas (products, tools, and services). We need a builder who can architect and run a unified growth engine : master the fundamentals (SEO / SEM, content, analytics) and crack the emerging frontier of GEOearning consistent inclusion and citations in AI-generated answers across major LLM / AI surfaces.

Outcomes you will own (KPIs)

  • AI Answer Inclusion Rate (AAIR) : % of target queries where Apex Neural (domain, brand, or asset) 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.

What youll do

1) GEO (Generative / AI Engine Optimization)

  • Define and execute the GEO strategy to earn inclusion in AI answers (ChatGPT, Gemini, Grok, Perplexity, Bing Copilot, Google AI Overviews).
  • Build an LLM Inclusion Scorecard : target prompts, competitor set, weekly tracking, screenshots, and change logs.
  • 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.
  • 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.
  • Original research & datasets : Publish benchmarks, studies, and open datasets (with clear licensing) that AI systems can safely cite.
  • Open docs & APIs : Coordinate public documentation, SDK readmes, and simple endpoints that agents can reference.
  • Freshness & provenance : Keep content fresh; adopt content-provenance standards (e.g., C2PA) and clear canonicalization.
  • Standards watch : Track / embrace new AI crawling directives, provenance signals, and submission channels as they emerge.

    • 2) SEO (modern, technical, durable)

  • Full-funnel technical SEO with engineering : CWV performance, log-based crawl audits, sitemaps, hreflang (if needed), canonical hygiene, redirects, index management, IndexNow / Bing.
  • Content architecture for 5060 ideas : scalable pillar / cluster models, internal-link maps, programmatic pages when warranted.
  • Authority building : Digital PR, expert co-authorship, guest posts, and partnerships for high-quality citations.

    • 3) SEM / Paid Growth

  • Own Google / Bing / LinkedIn / Meta : account structure, SKAG / intent clusters, negatives, audiences, RSAs, sitelinks, retargeting, and budget pacing.
  • Landing pages & CRO : Fast experiments on messaging, forms, social proof, and pricing; VWO / Optimizely / Equivalents for A / B tests.

    • 4) Social & Content Engine

  • LinkedIn-first B2B calendar (founder-led POVs, case studies, artifacts, demo reels), plus YouTube how-tos and Twitter / X threads.
  • Content operations : briefs, outlines, editorial QA, brand voice, compliance, and repurposing (shorts, carousels, email).

    • 5) Analytics & Ops

  • GTM / Tagging discipline : GA4, GSC, Bing Webmaster, LinkedIn Insight Tag, Meta Pixel; UTM governance.
  • Dashboards : Weekly growth report (AAIR, LLM mentions, SEO, SEM, pipeline, experiments).
  • Attribution : Build pragmatic multi-touch views (first-touch intent + last-touch conversion).

    • 6) Leadership

  • Hire / coach a 35 person pod (performance, content, ops / analytics), and orchestrate work across 5060 initiatives after scaling initial projects.
  • Drive a tight experiment cadenceproblemhypothesisMVPmeasureship learning.

    • What success looks like (30 / 60 / 90)

    30 days

  • Full audit (SEO tech / content, SEM, analytics, social).
  • Baseline AAIR and LLM citations for 50 priority prompts.
  • GEO Playbook v0.1 and Q3 experiment backlog.

    • 60 days

  • Ship schema coverage on top 200 pages; fix CWV for critical templates.
  • Publish 2 original research pieces (with datasets).
  • Launch 1015 GEO experiments; reduce waste in SEM; stand up dashboards.

    • 90 days

  • 2030% inclusion on the tracked AI prompt set (directional target; refine after baseline).
  • 23 repeatable content AI citation playbooks.
  • Clear pipeline lift from organic + AI-surface traffic.

    • Must-have experience

  • 2-5 years in performance / growth marketing with deep hands-on SEO + SEM and measurable wins.
  • Demonstrated AI-search / GEO work : examples of appearing in AI answers (screenshots, methodology, before / after).
  • Strong technical SEO (CWV, log analysis, schema, indexation) and paid search (account design, testing, budgeting).
  • Analytics fluency : GA4, GSC, Bing Webmaster, Looker Studio; comfort with funnels, cohorts, and incrementality.
  • Content systems : briefing, editing, and scaling expert-led content; authority & digital PR.
  • Experimentation mindset : speed to learning, rigorous measurement, and Basic SQL / Python for analysis; comfort with notebooks.
  • Exposure to LLM tooling (embeddings, RAG-friendly docs, vector stores) and docs / API publishing.
  • Experience in B2B AI / tech categories; familiarity with India & global markets.
  • VWO / Optimizely (or equivalent), Screaming Frog, Ahrefs / Semrush, Similarweb; LinkedIn Ads.

    • (ref : iimjobs.com)

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