Search Engine Optimization Manager

Department Icon Data Science Analytics & Machine Learning
Posted: 3 months ago
0-1 years
Chennai, Tamil Nadu
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 3 months ago
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Job Description

ROLE CLARITY DOCUMENT — SEO MANAGER

ROLE DEFINITION

The SEO Manager handles the creation and implementation of SEO and AI Search visibility strategies. The role demands staying in sync with current search trends — including Google AI Overviews, AI assistant search (ChatGPT, Gemini, Perplexity), and evolving ranking systems — and achieving the set goals for the brands.

RESPONSIBILITY DELIVERABLES

  • SEO & AI Search (GEO/AEO) Strategy Creation
  • Google Ads Setup & Optimisation
  • Team Handling
  • Tool & AI Handling
  • Brand Analysis & Reporting

TASKS & ACTIVITIES

1. SEO & AI SEARCH STRATEGY CREATION

  • Study the brand and have a clear domain and brand understanding
  • Gather requirements from the client
  • Conduct keyword and search intent research (including conversational and question-based queries used in AI search) and finalise with clients approval
  • Competitor analysis: rankings, content gaps, backlink profile, and AI search visibility of competitors in the industry
  • Build topical authority through content clusters (pillar pages + supporting content) instead of standalone keyword pages
  • On-Page analysis and page optimisation by coordinating with the team — title/meta, internal linking, content depth, and E-E-A-T signals (author info, credentials, first-hand experience, trust pages)
  • Implement structured data / schema markup (Organization, Service, FAQ, LocalBusiness, Product, Review) to improve eligibility for rich results and AI citations
  • Optimise content for AI Overviews and LLM answer engines (GEO/AEO): clear direct answers, well-structured headings, factual accuracy, citable statements
  • Set up an action plan for Off-Page optimisation: digital PR, brand mentions, quality link acquisition, and presence on platforms AI engines cite (directories, review sites, Reddit/Quora where relevant)
  • Local SEO where applicable: Google Business Profile optimisation, reviews strategy, local citations, NAP consistency
  • Monitor key technical parameters of the website: crawling and indexing (Search Console), Core Web Vitals, mobile usability, caching, broken links, duplicate content, canonical issues, XML sitemaps, robots.txt
  • Track zero-click impact: monitor impressions vs clicks and adjust strategy toward conversion-focused and brand-building queries

2. GOOGLE ADS SETUP & OPTIMISATION

  • On-page and conversion analysis of the landing page (message match, load speed, form friction, mobile UX) before campaign launch
  • Keyword, intent, and position research; finalise after client approval
  • Select the right campaign type for the clients goal: Search, Performance Max, Demand Gen, Display, or Local — not one default structure for all
  • Configure conversion tracking correctly before spending: GA4 events, Google Tag Manager, enhanced conversions, and call/form/WhatsApp lead tracking
  • Set up the lead portal / CRM integration so leads are captured, attributed, and followed up
  • Write and test Responsive Search Ads with strong hooks and clear CTAs; maintain ad strength and asset variety
  • Continuous optimisation: negative keyword mining, search term review, audience signals, bid strategy tuning (smart bidding with correct conversion goals), budget reallocation to winning campaigns
  • Protect quality: exclude invalid traffic, review placements (for PMax/Display), and watch lead quality — optimise for qualified enquiries, not just cheap clicks
  • Share ad reports with the client and management as per the clients package, with plain-language insights and next actions, not just metrics

3. TEAM HANDLING

  • Conduct daily meetings to set individual targets
  • Handle and clear doubts and issues within the team
  • Daily monitoring of the team based on set targets
  • Training of team based on knowledge requirement of each member — including AI search optimisation, schema, GA4, and correct use of AI writing tools
  • Quality-check AI-assisted content before publishing: no thin, generic, or unverified AI content (Googles spam policies penalise scaled low-value content); every piece must add real expertise or first-hand value
  • Document repeatable processes (SOPs) so strategy execution doesnt depend on one person

4. TOOL & AI HANDLING

  • Configure the brands website in the SEO tool, select keywords, and map them to landing pages
  • Connect necessary portals: Google Analytics 4, Google Search Console, Google Business Profile, Google Tag Manager, Meta — and configure selected competitors
  • Set up rank tracking including AI visibility tracking (brand presence/citations in AI Overviews and AI assistants) where tools support it
  • Use crawling/audit tools (e.g., Screaming Frog or equivalent) for regular technical audits
  • Use AI assistants for research, content briefs, outlines, and audits — with human review and fact-checking before anything goes to the client or gets published
  • Configure the report section of the brand and schedule it according to the clients requirements; use automated dashboards (e.g., Looker Studio) where useful

5. BRAND ANALYSIS

  • Actively take part in the client induction call with the creative director
  • Get a preliminary audit report from the tool (technical health, rankings, backlinks, AI search presence)
  • Analyse the overall strategy, competitor positioning, and missed opportunities available in the market — including untapped query types, content gaps, and local/AI search gaps
  • Actively take part in sales meetings and support proposals with data-backed opportunity sizing

MEASUREMENT METRICS

  • No. of projects with complete goal achievement
  • Organic conversions/enquiries generated (not just traffic or rankings)
  • Keyword ranking improvements and AI search visibility (AI Overview presence, brand citations)
  • Technical health: Core Web Vitals pass rate, indexing coverage, zero critical errors
  • Google Ads performance: cost per qualified lead / ROAS against client targets
  • No. of trainings conducted
  • No. of successful strategies executed and documented
  • Client satisfaction and retention

Skills

ImplementationAnalyticsAi

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