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Open nowPosted 45 days ago

AI Search Optimization Specialist

E2M SOLUTIONS PRIVATE LIMITED28 open roles

Where
Ahmedabad
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Your applicationOpen nowAI Search Optimization SpecialistE2M SOLUTIONS PRIVATE LIMITED · Ahmedabad

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12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 45 days ago

The posting

About E2M Solutions

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing.

Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia.

At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together.

If you're someone who dreams big and has the gumption to make them come true, E2M has a place for you.

Role & Responsibilities

As an AI Search Optimization Specialist, your responsibility will be to improve how brands and websites are discovered, understood, cited, recommended, and represented across AI-powered search and answer engines, while maintaining strong performance across traditional search engines.

You will work closely with SEO, content, development, design, and account management teams to implement AI Search strategies across client websites.

AI Search / AEO / GEO Strategy

• Develop and execute AEO, GEO and AI Search Optimization strategies for client websites.

• Optimize websites and content for visibility across platforms such as ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude and other AI-powered search experiences.

• Conduct AI Search visibility audits to identify gaps in brand/entity visibility, citations, mentions and recommendations.

• Develop target query/prompt sets to measure AI visibility and establish performance baselines.

• Analyze how AI platforms retrieve, interpret, summarize and cite information.

• Identify opportunities to increase the likelihood of a brand, business, product or website being referenced in AI-generated answers.

• Monitor changes in AI Search behavior, retrieval patterns and emerging optimization practices.

AI Content & Information Optimization

• Optimize existing website content for AI retrieval, comprehension and citation.

• Develop AI-friendly content structures using:

• Direct answers

• Question-led headings

• Concise information blocks

• Entity relationships

• Comparison content

• Original research and first-party data

• Expert insights

• FAQs and supporting evidence

• Identify content gaps based on AI-generated answers and competitor visibility.

• Develop content briefs specifically designed for both traditional search and AI Search.

• Improve content's factual clarity, authority, context and extractability.

Entity & Semantic Optimization

• Conduct entity research and identify important entities, relationships and attributes within a client's niche.

• Strengthen entity signals across websites and relevant external sources.

• Improve topical authority and semantic relationships across content.

• Work with content teams to build topic clusters and information architecture.

• Identify knowledge-graph and entity consistency opportunities.

Technical AI Search Optimization

• Audit websites for technical factors affecting search engine and AI crawler accessibility.

• Review:

• Crawlability

• Indexation

• Robots.txt

• XML sitemaps

• Canonicalization

• Internal linking

• Site architecture

• Rendering

• Structured data

• Schema markup

• Page performance

• Recommend and coordinate implementation of structured data/JSON-LD.

• Evaluate how effectively important information can be discovered and interpreted by search engines and AI systems.

• Collaborate with developers to implement technical recommendations.

AI Search Measurement & Reporting

• Track AI visibility, citations, mentions and recommendation frequency.

• Build and maintain AI Search query/prompt monitoring sets.

• Compare client visibility against competitors.

• Analyze which content and entities are being surfaced by AI systems.

• Create monthly AI Search performance reports.

• Translate findings into actionable recommendations.

• Measure results through before/after testing and controlled optimization experiments where possible.

SEO Integration

• Maintain a strong understanding of traditional SEO fundamentals.

• Conduct keyword and search-intent research.

• Use traditional SEO data to identify opportunities for AI Search optimization.

• Coordinate with SEO teams to ensure SEO and AI Search strategies complement each other.

• Monitor organic traffic, rankings, conversions and other traditional SEO KPIs alongside AI Search metrics.

Research & Experimentation

• Continuously test emerging AI Search optimization strategies.

• Stay current with developments across major AI search platforms.

• Test different content formats, structures, entities and technical implementations.

• Document successful experiments and turn them into repeatable E2M frameworks and SOPs.

Requirements

Must Have

• 3+ years of experience in SEO, organic search or search strategy.

• Demonstrated hands-on experience with AEO, GEO, AI Search Optimization, LLM SEO or similar disciplines.

• Must have personally implemented AI Search strategies, not just theoretical knowledge.

• Proven ability to demonstrate actual results from AEO/GEO implementations.

• Strong understanding of how AI-powered search systems retrieve, interpret, summarize and cite information.

• Experience working with at least several of:

• ChatGPT

• Google AI Overviews

• Perplexity

• Gemini

• Claude

• Microsoft Copilot

• Strong technical SEO fundamentals.

• Strong understanding of structured data and Schema.org.

• Experience with entity optimization and semantic search.

• Experience with AI-friendly content optimization.

• Strong understanding of search intent and information architecture.

• Experience with Google Search Console, GA4, Ahrefs, SEMrush and/or Screaming Frog.

• Strong analytical and problem-solving skills.

• Ability to measure, document and explain results.

• Excellent written and verbal communication skills.

Strongly Preferred

• Experience with AI citation/visibility monitoring platforms.

• Experience with knowledge graphs, Wikidata or entity-based SEO.

• Experience working with JSON-LD.

• Experience conducting AI Search experiments.

• Experience developing AI Search audits or frameworks.

• Experience working with US-based businesses or agencies.

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