Lastmile Retail

• Conduct research on how generative AI search engines summarize local business data and identify the "ranking factors" for AI-led local discovery. • Develop and test prompts to generate high-quality, localized FAQs, store descriptions, and social posts while maintaining brand voice and SEO integrity. • Partner with the team to identify repetitive local SEO tasks (e.g., auditing listings or sentiment analysis on reviews) that can be streamlined using AI tools. • Use AI-powered tools to perform deep-dive competitive analysis into how rivals are positioning themselves in local markets. • Work with Google Search Console and Looker Studio to track how AI-driven search changes impact our organic traffic and conversion rates. • Create a "Playbook for AI in Local SEO" based on your summer findings to help the team transition from manual to automated workflows.

Role Overview We are looking for a forward-thinking AI & Local Search Research Intern to help us redefine how we manage local visibility at scale. Last year, we focused on manual optimization; this year, we want to build the future. You will explore how Large Language Models (LLMs) and AI automation can be applied to Local SEO—from automating Google Business Profile updates to researching how AI-powered search engines (like Perplexity and Google SGE) rank local businesses. Key Responsibilities ●      AI Research & Benchmarking: Conduct research on how generative AI search engines summarize local business data and identify the "ranking factors" for AI-led local discovery. ●      Prompt Engineering for Content: Develop and test prompts to generate high-quality, localized FAQs, store descriptions, and social posts while maintaining brand voice and SEO integrity. ●      Workflow Automation: Partner with the team to identify repetitive local SEO tasks (e.g., auditing listings or sentiment analysis on reviews) that can be streamlined using AI tools. ●      Competitive Intelligence: Use AI-powered tools to perform deep-dive competitive analysis into how rivals are positioning themselves in local markets. ●      Data Analysis: Work with Google Search Console and Looker Studio to track how AI-driven search changes impact our organic traffic and conversion rates. ●      Strategic Documentation: Create a "Playbook for AI in Local SEO" based on your summer findings to help the team transition from manual to automated workflows.

Role Overview We are looking for a forward-thinking AI & Local Search Research Intern to help us redefine how we manage local visibility at scale. Last year, we focused on manual optimization; this year, we want to build the future. You will explore how Large Language Models (LLMs) and AI automation can be applied to Local SEO—from automating Google Business Profile updates to researching how AI-powered search engines (like Perplexity and Google SGE) rank local businesses. Key Responsibilities ●      AI Research & Benchmarking: Conduct research on how generative AI search engines summarize local business data and identify the "ranking factors" for AI-led local discovery. ●      Prompt Engineering for Content: Develop and test prompts to generate high-quality, localized FAQs, store descriptions, and social posts while maintaining brand voice and SEO integrity. ●      Workflow Automation: Partner with the team to identify repetitive local SEO tasks (e.g., auditing listings or sentiment analysis on reviews) that can be streamlined using AI tools. ●      Competitive Intelligence: Use AI-powered tools to perform deep-dive competitive analysis into how rivals are positioning themselves in local markets. ●      Data Analysis: Work with Google Search Console and Looker Studio to track how AI-driven search changes impact our organic traffic and conversion rates. ●      Strategic Documentation: Create a "Playbook for AI in Local SEO" based on your summer findings to help the team transition from manual to automated workflows.

Role Overview We are seeking a highly organized and technical Ad Operations Specialist to serve as the execution engine for our paid media campaigns. This is a "hands-on-keyboard" role designed for a digital marketing professional with proven experience trafficking, managing, and optimizing campaigns across Google Ads, Meta, and Programmatic Display platforms. Because we specialize in online-to-offline solutions, you will be heavily involved in local digital marketing—deploying highly targeted, geo-specific campaigns at scale. You will live in the ad platforms and tracking tools, ensuring our campaigns launch flawlessly, pace correctly, and track accurately. Key Responsibilities - Campaign Setup & Trafficking: Manually build, configure, and QA campaigns within Google Ads, Meta Ads Manager, and Demand-Side Platforms (DSPs). You are the final checkpoint before campaigns go live. - Local & Multi-Location Execution: Leverage bulk-sheet uploads (e.g., Google Ads Editor) to execute high-volume campaign rollouts across hundreds of localized markets, ensuring strict adherence to geo-targeting parameters. - Daily Optimization & Pacing: Monitor active campaigns daily, adjusting bids, budgets, and targeting settings to ensure maximum efficiency and proper budget pacing. - Platform Troubleshooting: Act as the technical "fixer" for media delivery—resolving disapproved ads, fixing broken tracking tags, and addressing platform-specific errors in the UI.

• Campaign Setup & Trafficking: Manually build, configure, and QA campaigns within Google Ads, Meta Ads Manager, and Demand-Side Platforms (DSPs). You are the final checkpoint before campaigns go live. • Local & Multi-Location Execution: Leverage bulk-sheet uploads (e.g., Google Ads Editor) to execute high-volume campaign rollouts across hundreds of localized markets, ensuring strict adherence to geo-targeting parameters. • Daily Optimization & Pacing: Monitor active campaigns daily, adjusting bids, budgets, and targeting settings to ensure maximum efficiency and proper budget pacing. • Platform Troubleshooting: Act as the technical "fixer" for media delivery—resolving disapproved ads, fixing broken tracking tags, and addressing platform-specific errors in the UI.

Role Overview We are seeking a highly organized and technical Ad Operations Specialist to serve as the execution engine for our paid media campaigns. This is a "hands-on-keyboard" role designed for a digital marketing professional with proven experience trafficking, managing, and optimizing campaigns across Google Ads, Meta, and Programmatic Display platforms. Because we specialize in online-to-offline solutions, you will be heavily involved in local digital marketing—deploying highly targeted, geo-specific campaigns at scale. You will live in the ad platforms and tracking tools, ensuring our campaigns launch flawlessly, pace correctly, and track accurately. Key Responsibilities - Campaign Setup & Trafficking: Manually build, configure, and QA campaigns within Google Ads, Meta Ads Manager, and Demand-Side Platforms (DSPs). You are the final checkpoint before campaigns go live. - Local & Multi-Location Execution: Leverage bulk-sheet uploads (e.g., Google Ads Editor) to execute high-volume campaign rollouts across hundreds of localized markets, ensuring strict adherence to geo-targeting parameters. - Daily Optimization & Pacing: Monitor active campaigns daily, adjusting bids, budgets, and targeting settings to ensure maximum efficiency and proper budget pacing. - Platform Troubleshooting: Act as the technical "fixer" for media delivery—resolving disapproved ads, fixing broken tracking tags, and addressing platform-specific errors in the UI.