Part-time marketing intern focused on improving Nylas’ visibility across AI answer engines through competitive research, content audits, AEO/SEO optimization, and analytics. The role suits a junior or senior marketing-related student or recent graduate with hands-on LLM experience and strong writing skills.
46k – 52k/yr
RemoteEntry levelGrowth Marketing
About the role
Responsibilities
Answer engine visibility
Run competitive queries in Profound to assess Nylas visibility across ChatGPT, Claude, Perplexity, Google AI Overviews, and Gemini.
Track Nylas citation share against Cronofy, Recall AI, Unipile, Cal.com, Aurinko, and Unified.
Identify prompts where competitors are cited but Nylas is not, and investigate the reasons.
Summarize findings and present trends, opportunities, and recommendations to the marketing team.
Page optimization for AI citation
Audit existing pages for issues that prevent LLM citation, including self-promotion bias, limited competitor context, outdated pricing, weak FAQ coverage, and missing schema markup.
Recommend and implement fixes on high-priority product comparison guides, use-case content, and solution pages.
Measure the impact of content improvements using Profound and other SEO metrics, iterating based on results.
Content collaboration
Partner with the content team on blog posts and web pages, incorporating AEO insights from Profound.
Contribute prompts and queries to test the AI answer landscape before publication.
Apply SEO fundamentals alongside AI-search optimization.
Collaborate with Product Marketing and Content teams to identify AI-first content opportunities.
Requirements
Currently pursuing an undergraduate degree in Marketing, Communications, Business, English, or a related field, or graduated within the last 12 months.
Junior or senior standing preferred.
Hands-on experience with ChatGPT, Claude, and Perplexity.
Curiosity about how AI-generated answers are sourced, ranked, and cited.
Clear writing skills and comfort working across a distributed marketing team.
Ability to learn new tools quickly and work in a fast-paced, AI-first environment.
Nice-to-haves
Familiarity with Google Analytics, SEMrush, or Ahrefs.
Exposure to AEO platforms such as Profound, Otterly, or Peec AI.
Completion or review of Profound University.
Compensation and Benefits
Part-time schedule of approximately 20 hours per week.
Approximately 6–12 week duration, with flexibility based on academic schedule and availability.
Flexible working hours with expected team-meeting overlap.
Compensation of $22–$25 per hour.
Hands-on experience with AI visibility and SEO platforms.
Collaboration with experienced marketers and content creators on measurable projects.
Interview Process
30-minute Google Meet discussion with the Hiring Manager.
Practical AEO and SEO optimization exercise.
Team loop of two or three 45-minute Google Meet discussions with cross-functional team members.
Skills
answer engine optimizationsearch engine optimizationChatGPTClaudeperplexityprofoundGoogle AnalyticssemrushahrefsContent Strategyschema markupgoogle ai overviewsgeminiLLMs
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