SEO Specialist

ScreenRant•, (Multiple States)

2d•Remote

About The Position

ScreenRant is the #1 entertainment website and publishes breaking news and exclusives on blockbuster movies, TV shows, comic books, books, and other forms of entertainment. As a worldwide leader, ScreenRant operates at a rapid pace and is always looking for experienced and passionate contributors who can create original high-quality content in a timely manner.

Requirements

Experienced and passionate contributors
Ability to create original high-quality content in a timely manner
Experience with SEO
Experience with AI Overviews (AIO) evaluation and maximization
Experience with evergreen content strategy, refresh, and republishing
Strong analytical and reporting skills
Experience with AI and automation in SEO workflows
Experience with growing topical authority
Experience with multi-product, multi-surface presence
Experience with ideation and validation of new content ventures
Ability to work cross-functionally with Editorial, Product, Data, and Leadership
Ability to upskill writers and editors on search and AIO best practice
Ability to foster a culture of accountability, experimentation, and performance.

Responsibilities

Own growth in total search clicks and clicks per article, driving the initiatives required to hit targets.
Build and maintain the keyword and topic roadmap, prioritizing opportunities by traffic potential, competitive difficulty, and commercial value.
Identify underperforming and high-potential URLs and convert that analysis into a prioritized, clearly briefed queue of work for editorial.
Monitor rankings, impressions, CTR, and click share; diagnose movement and respond quickly to volatility, algorithm updates, and competitive shifts.
Balance the mix of evergreen and timely coverage, protecting the compounding traffic base while capturing trending demand.
Improve on-page and template-level SEO : titles, metadata, internal linking, structured data, and site architecture.
Evaluate the brand’s presence across AI Overviews and other AI-generated search surfaces, and establish repeatable ways to measure inclusion and citation rates.
Identify the query types and content patterns that earn AIO citations, and translate them into concrete, usable editorial guidance.
Maximize inclusion through content structure, entity coverage, schema, answer formatting, and source credibility signals.
Track the click and traffic impact of AIO across affected query sets, and adjust strategy where zero-click behaviour erodes performance.
Stay ahead of developments across AI search surfaces and LLM assistants, and advise leadership on the implications for the brand.
Develop a strong evergreen playbook: a documented, repeatable system covering how evergreen topics are selected, briefed, structured, published, updated, and measured — and drive its adoption across the editorial team.
Grow and defend the evergreen content base — the durable, compounding library that drives the majority of recurring search clicks.
Identify evergreen opportunities through demand and gap analysis, and brief them as long-lived assets built to rank and be cited for years.
Define the evergreen standards and templates behind the playbook — depth, structure, entity coverage, internal linking, and update cadence — so quality is repeatable at scale.
Pressure-test and evolve the playbook against results, keeping it current as search behaviour and AI surfaces shift.
Identify republishing and refresh candidates through a data-driven model: traffic decay curves, ranking slippage, seasonality, SERP and AIO changes, and content gaps.
Maintain a prioritized republishing pipeline with clear briefs so editorial knows exactly what to change and why.
Define and enforce refresh standards, and measure post-republish lift to validate what actually works.
Manage the content lifecycle end to end: refresh, consolidate, redirect, or prune.
Maintain an update cadence for the evergreen library so top assets stay accurate, competitive, and AIO-eligible.
Monitor KPIs across clicks, impressions, rankings, engagement, and revenue per article; provide clear reporting and actionable insight.
Ensure tracking accuracy and data integrity across Search Console, analytics, and third-party rank and visibility tools.
Run structured tests against search levers and turn what works into repeatable playbooks.
Identify high-friction, repetitive SEO workflows — reporting, keyword clustering, SERP and AIO monitoring, content auditing, internal-link mapping — and surface them as automation candidates.
Partner closely with the portfolio data scientist to scope, prototype, and deploy AI agents and tooling against those opportunities.
Define the problem, supply context and success criteria, and validate outputs before rollout.
Support adoption across the team and help scale proven automations to other brands in the portfolio.
Contribute to growing topical authority through coverage depth, entity building, and internal-link architecture.
Support the transition from a single-site model to a multi-product, multi-surface presence, extending search strategy across new surfaces.
Contribute to the ideation and validation of new content ventures, sizing the search opportunity before investment.
Work cross-functionally with Editorial, Product, Data, and Leadership, translating search insight into work others can act on.
Upskill writers and editors on search and AIO best practice, and keep guidance current as the landscape shifts.
Foster a culture of accountability, experimentation, and performance.