The AI competitor analysis workflow we run on ravitz.co and for clients: pick the set, extract per-competitor positioning, cross-compare for unclaimed territory, do the content gap analysis, write the recommendation memo. The prompts, the tools, and the brand teardowns we built using this pattern.
AI Competitor Analysis: The Workflow We Run for Clients (2026) Read More »
Most AI persona generators output fiction. Here is the operator workflow we use to build evidence-grounded personas from real customer data: sales calls, support tickets, reviews, surveys. The data inputs, the synthesis prompts, the audit checks, and the mistakes most teams keep making.
AI Persona Generator: How to Build Customer Personas From Real Data (2026) Read More »
The AI content repurposing workflow we run on ravitz.co: turn one well-written core piece into 8-12 atomic units across formats and channels. The matrix, the AI steps, tool comparison, and the brand-voice checkpoints that keep repurposed content from sliding into AI slop.
AI Content Repurposing: The Workflow We Run for One-to-Many Distribution (2026) Read More »
The exact SEO automation pipeline we run on ravitz.co across 25+ posts: keyword research with Claude and Ahrefs, SERP validation, drafting, the humanizer audit, image gen, WordPress REST publishing, and the measurement loop. Tools, prompts, and what we keep human.
SEO Automation: The Claude + Ahrefs Pipeline We Run for Our Own Blog (2026) Read More »
Most AI content calendars don’t ship. Here’s the three-layer framework we use with consulting clients: weekly, monthly, quarterly slots with the AI workflow attached to each, the templates we steal from, and the mistakes that keep killing the rollout.
How to Build an AI Content Calendar That Actually Ships (2026) Read More »
Eight categories of AI agents for marketing that actually do useful work in 2026, with the build-vs-buy call for each, the workflow most teams should build first, and the operating-model mistakes that keep blowing up the rollout.
AI Agents for Marketing: 8 Categories That Actually Work in 2026 Read More »
Most AI marketing ROI math is hand-wavy. Here is the four-layer framework we use when we have to defend the numbers to a CFO: time saved, output quality, conversion impact, learning rate. With realistic ranges and what to actually put in the leadership deck.
AI Marketing ROI: How to Actually Measure It (2026) Read More »
Most ChatGPT prompt lists for marketers are junk. This is a working library of 30 prompts organized by function — research, content, SEO, paid, email, analytics — with the small adjustments that make them actually useful.
ChatGPT Prompts for Marketers: 30 You Can Actually Use (2026) Read More »
Open-source AI agents are powerful because they can take real actions, which is also why they need real guardrails. Here’s the operating model we use for permissions, credentials, model choice, and draft-vs-do separation before any agent touches a business workflow.
How to Safely Use Open-Source AI Agents in Your Business Read More »
Five Hermes Agent workflows for consultants: client discovery synthesis, website audits, competitor teardowns, first-draft deliverables, and recurring reporting. Plus a practical first-month rollout and the guardrails that keep client work safe.
Hermes Agent for Consultants: Faster Research, Audits, and Client Deliverables Read More »
