Evaluation & instrumentation
Build tests/metrics for answer quality : presence rate, citation rate, hallucination rate, citation fidelity, and downstream conversion (clicks demo requests). Automate periodic evaluation across model families.
Content & editorial ops
Produce SEO/LLM briefs, microcopy, and short canonical answers for product pages, docs, and FAQ hubs. Train writers on answer-first writing.
Cross-functional partnership
Work closely with Product, Docs, Growth, and Engineering to ship retrieval improvements, on-site features, and content changes.
Success metrics (first 6 12 months)
Increase in being surfaced/cited by Perplexity/ChatGPT/Gemini for target queries (presence share).
Reduction in hallucination/citation errors for Lyzr-sourced answers.
Rank & traffic lift for answer-first pages; improved demo-signup conversions from LLM-driven sessions.
Productionized at least one RAG/LLM feature powering docs/product help or on-site search.
Lead generation target (new):
Drive 150 200 MQLs per month
originating from generative search/answer engines (Perplexity, ChatGPT, Gemini and equivalent platforms) within the 6 12 month window.
Definition / attribution:
MQL = validated demo request or form-fill that meets our inbound qualification criteria. Attribution should be measured via a combination of:
UTM/parameterized landing pages linked from canonical answer snippets or LLM-cited URLs.
Redirect & landing page telemetry for LLM referrals (unique landing tokens included in canonical answers).
Server-side logs and model-response scraping that map LLM-cited links to session starts, and GA4 + CRM matching to confirm MQL status.
Acceptance criteria:
150 200 MQLs/month with a verified attribution method and a conversion funnel that shows at least X% demo-booking rate from those sessions (X to be agreed with Growth/Rev Ops).
Notes on ambition & dependencies:
This target is ambitious achievement depends on model citation share, content velocity, site authority, product-market fit of landing experiences, and budget/engineering support for instrumentation. The analyst will be expected to propose a 90-day plan to reach a scalable baseline and interim KPIs.
Qualifications & skills (must-haves)
3+ years in SEO, content ops, or growth with hands-on experience in SEO tools
Demonstrable experience optimizing content for LLM/AI-answer surfaces (Perplexity, ChatGPT, Google/Gemini, or similar). Describe past wins.
Strong technical skills and experience designing prompt templates for multiple model families.
Understands terminologies like embeddings, retrieval, Pinecone/Weaviate
Solid analytics background: Python + SQL to run experiments, parse results, build dashboards.
Familiarity with SEO tooling: Ahrefs/SEMrush, Screaming Frog, GSC, GA4.
Excellent editorial judgment for concise, authoritative answers; able to write canonical 1 3 sentence answers that scale.
Comfortable collaborating with product and engineering teams to ship retrieval and schema changes.
