Application Open:
Full-Time
The Role
As a Senior AI Search (GEO) Specialist, you will own how IFM’s open-source models are discovered, cited, and recommended across AI assistants and search engines. Developers and researchers increasingly choose models by asking ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. Your job is to make sure the K2 family, Jais, and PAN are named, described accurately, and linked in those answers. Unlike traditional SEO roles, this position combines search engine optimization with Generative Engine Optimization (GEO/AEO), developer marketing, and technical content for an open-science audience. You will collaborate closely with researchers, engineers, communications, and developer relations to turn model releases, papers, and benchmarks into durable AI visibility.
Key Responsibilities
- Define and execute IFM’s GEO/AEO and SEO strategy to increase visibility of IFM models in AI assistants (ChatGPT, Gemini, Claude, Perplexity, Copilot) and Google AI Overviews.
- Build and maintain a prompt library of high-intent developer and researcher queries (e.g., “best fully open LLM”, “best Arabic LLM”, “open-source reasoning model under 10B”) and track IFM’s mention rate, citation share, and share of voice against competing model families.
- Optimize ifm.ai and model pages for AI extraction: clear structure, direct answers, comparison and benchmark tables, FAQs, schema markup, and crawler access for AI bots.
- Own the model’s presence on the platforms AI systems draw from: Hugging Face model cards, GitHub READMEs, arXiv/paper pages, Papers with Code-style leaderboards, Wikipedia/Wikidata, and inference-provider listings.
- Drive off-site authority: technical blogs, developer community engagement (Reddit, Hacker News, X, Discord), YouTube tutorials, and outreach to AI media, newsletters, and benchmark maintainers.
- Ensure models are described accurately in AI answers (size, license, openness, benchmarks) and correct outdated or wrong descriptions at the source.
- Plan launch-day visibility for new releases with research, comms, and developer relations, so each model is indexed, cited, and compared from day one.
- Lead Arabic-language search and AI visibility for Jais and region-specific content.
- Report monthly on AI referral traffic, Hugging Face downloads, citation share, and branded search, and tie results to model adoption.
- Train researchers and writers on writing model cards, blogs, and docs that AI systems can cite.
Academic Qualifications Required
- Bachelor’s degree in Marketing, Computer Science, Communications, Information Science, or a related field required.
- Master’s degree or equivalent experience in digital marketing, data analytics, or AI/ML preferred.
Professional Experience Required
Essential:
- 5+ years in SEO or organic growth, including at least 1–2 years working on GEO/AEO or AI search visibility.
- Proven record of improving brand mentions or citations in AI-generated answers, with measurable results.
- Strong technical SEO: site architecture, structured data/schema, crawlability (including AI crawlers), Core Web Vitals, and internal linking.
- Hands-on with SEO and AI visibility tools such as Google Search Console, GA4, Ahrefs or Semrush, and AI tracking tools (e.g., Ahrefs Brand Radar, Profound, or similar).
- Understanding of how LLMs retrieve and cite sources, including non-deterministic answers and the weight of off-site mentions.
- Excellent technical writing; able to turn research papers and benchmarks into clear, citable content for developers.
- Strong analytical skills and ability to build dashboards and report impact to leadership.
- Excellent communication skills, with the ability to collaborate with researchers, engineers, and comms teams.
Preferred:
- Experience marketing developer tools, open-source software, or AI/ML products to technical audiences.
- Familiarity with the open-model ecosystem: Hugging Face, GitHub, arXiv, model leaderboards, and inference providers.
- Basic Python or scripting to automate prompt tracking via LLM APIs and analyze results.
- Experience with Wikipedia/Wikidata, knowledge graph, and entity optimization.
- Background in digital PR or developer relations within the AI community.
- Arabic language proficiency to lead Arabic-language search and AI visibility for Jais and regional audiences.
- Experience in a research institute, university, or AI lab environment.
