Artificial Intelligence Intern

This is a research-and-build role at the point where AI meets marketing. You'll find out which new AI capabilities can change how SEO, content, ads and marketing operations get done. Then you'll test them, prove they work, and turn them into automations and workflows that run in production for the agency and its clients.
Your work follows a simple loop: Research → Test → Build → Measure → Roll out.
What You'll Do1. AI-Powered SEO & Search Visibility
Track how AI is reshaping search, including Google AI Overviews, AI Mode, ChatGPT Search, Perplexity and Gemini, and what it means for rankings and traffic.
Research and implement GEO (Generative Engine Optimisation): how brands get cited in AI answers, llms.txt, entity optimisation, structured data and passage-level content design.
Build automated SEO workflows for keyword research and clustering, content gap analysis, SERP and competitor monitoring, technical audits, internal linking suggestions and schema generation.
Connect Google Search Console, GA4 and Google Business Profile data into automated reporting and "what to fix next" recommendations.
Experiment with programmatic SEO: generating high-quality pages at scale from data, without thin content.
2. Marketing Automation Systems
Design and build n8n workflows and AI agents that remove repetitive work across the agency: lead capture and qualification, CRM updates in GoHighLevel, reporting, client onboarding and task routing.
Research emerging agent frameworks, MCP integrations and AI tools, and assess whether they should replace or improve existing automations.
Build AI-driven lead nurturing, including WhatsApp and voice AI follow-ups, personalised email flows in Klaviyo, and automated segmentation.
Document every automation with clear SOPs so the team can maintain and reuse it across clients.
3. AI Content Creation at Scale
Research the latest text, image, video and voice generation models and assess them for marketing quality, brand safety and cost.
Build content pipelines: blog and SEO articles, social media calendars, captions, email copy, product descriptions, short-form video scripts and repurposing (one video into posts, emails and articles).
Develop brand voice systems, prompt libraries and review checkpoints so AI content stays on-brand and fit for human review.
Test AI tools for design, UGC-style video, avatars, voiceovers and thumbnails, and compare the output against manual production.
4. AI in Paid Advertising
Stay on top of AI changes inside ad platforms such as Meta Advantage+, Google Performance Max and AI-generated creative features, and what they mean for campaign strategy.
Build automated ad creative pipelines: generating hooks, headlines, copy variations and visual concepts for A/B testing at volume.
Automate competitor ad research using ad libraries, spot creative fatigue, and generate performance reports with AI-written insights.
Research AI-assisted audience targeting, budget pacing and bid strategy tools, and test them on live campaigns with the ads team.
5. Analytics, Reporting & Insights
Build automated dashboards and client reports that pull data from ads, SEO, email and CRM platforms, with AI-generated summaries and recommendations.
Set up experiments to measure the real impact of every AI tool or workflow you introduce, including time saved, cost per lead, CTR, rankings and conversion rate.
6. Research Output & Team Enablement
Maintain an AI Marketing Radar: a living tracker of new tools, models and techniques, each rated for impact, maturity, cost and fit with our services.
Publish a weekly internal briefing: what launched, what's worth testing, and what we've implemented.
Run demos and short training sessions so strategists, designers and account managers adopt what you build.
Help package proven AI workflows into new client-facing services, case studies and pitch material.
What We're Looking For
Must-haves
Strong curiosity about AI and marketing. You already try new tools as they launch and form your own views on them.
Advanced hands-on use of LLMs (ChatGPT, Claude, Gemini), including structured prompting, working with files and data, and knowing where the models fail.
Working understanding of digital marketing: SEO basics, content marketing, social media, paid ads and funnels.
Some experience building automations in n8n, Make or Zapier, or strong willingness to learn fast.
Analytical mindset. You measure whether something actually worked instead of assuming it did.
Clear written communication in English.
Good to have
Familiarity with SEO tools (Search Console, GA4, Ahrefs/Semrush, Screaming Frog).
Experience with Meta Ads Manager or Google Ads.
Basic Python or JavaScript, and comfort working with APIs and JSON.
Exposure to AI image/video tools, voice AI, AI agents or RAG.
A portfolio of AI experiments, automations, content projects or marketing side projects.
Background: Students or recent graduates in Marketing, Computer Science, IT, Data Science, Engineering or related fields. Self-taught builders with strong portfolios are equally welcome.
What You'll Gain
Real ownership: your research and builds go live on actual client accounts.
Hands-on experience across the full AI marketing stack: SEO, content, ads, email, CRM and automation.
Direct mentorship from the founder and senior automation specialists.
A portfolio of production-grade AI workflows and measurable results.
Certificate, letter of recommendation, and a potential full-time offer for high performers.
How to Apply
Email your resume to abhay@krivyco.com with the subject "AI Research Intern – [Your Name]", and include a short answer (max 250 words) to:

Work arrangement
Hybrid