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license, openness, benchmarks) and correct outdated or wrong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.
