AI Product Title Optimization in 3 Steps (2 Methods That Actually Rank)

Get Pumice here: https://www.pumice.ai/contact-us 💼 Business owner or operator with a team? We build AI automation systems that cut costs and scale ops — done for you: https://ryanandmattdatascience.com/ai-consultant/ 🚀 Want to make money with AI skills? Join our free community — real projects, real client strategies, and the exact stack we use: https://www.skool.com/data-and-ai Stop guessing at product titles and let AI do the heavy lifting — grounded in real product data, not hallucinations from ChatGPT or Claude. In this video I walk you through two complete workflows for optimizing product titles at scale, both inside Pummus AI: SEO Optimization Playbook — for when your product data is already clean. Pummus runs full keyword research, competitor analysis, and gap analysis, then hands you a marketing-brief PDF with exact action items: what your competitors are doing in their titles that you aren't, the brand/spec/separator patterns that rank, and how to rewrite your title to match. Merchandising Pipeline — for when your catalog is thin (short titles, missing attributes, no specs). Pummus scrapes the web (or reads manufacturer PDFs), validates that scraped pages are the same product, then generates new titles, descriptions, and attributes that follow your custom rules, examples, and validation constraints (length, keywords, formatting, etc.). You'll see the configuration file, the rules engine, the CSV input/output, and how to chain both workflows together for maximum SEO impact across thousands of SKUs. Real ecommerce brands are using this every single day to push optimized titles to Shopify and rank for the keywords that actually drive traffic. TIMESTAMPS 00:00 Intro — Optimize Product Titles With AI in 3 Steps 00:50 The Two Pillars: SEO vs On-Site Conversion 02:55 Reviewing Your Product Catalog (Google Sheets Example) 03:50 Use Case 1: SEO Optimization (When Your Data Is Complete) 04:30 Inside the Pummus Product Page Optimization Playbook 07:30 Setting Your Target Keyword & Generating the Playbook 09:35 Reviewing the Marketing Brief PDF Output 10:30 Competitor Gap Analysis — Brands, Specs & Separators 14:00 Recommendations, Action Items & Threshold Checks 18:50 Use Case 2: Enriching Catalogs That Lack Product Data 20:30 The Merchandising Pipeline Explained 22:30 Walking Through the Configuration File 24:25 Web Scrape Research & Same-Product Validation 26:50 Generation Rules, Examples & Validation Steps 29:30 Mapping Columns and Running the Task 30:05 Reviewing the Enriched Output — New Titles & Attributes 32:55 Chaining Both Workflows for Maximum SEO Impact 33:45 Wrap Up & Next Steps OTHER SOCIALS: 🌐 Website & Blog: https://ryanandmattdatascience.com/ Ryan’s LinkedIn: https://www.linkedin.com/in/ryan-p-nolan/ Matt’s LinkedIn: https://www.linkedin.com/in/matt-payne-ceo/ Twitter/X: https://x.com/RyanMattDS *This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.