Runway ML’s Gen-4 and editing suite enable marketing teams to produce broadcast-quality video content without cameras, crews, or post-production specialists. This guide covers Runway’s core tools, workflows for marketing use cases, cost analysis, and limitations to know before committing.
Guy Sheetrit
HTTP status codes control how search engines crawl, index, and transfer authority across your site. This guide covers 301 vs 302 redirects, 404 error handling, crawl budget implications, and how to audit and fix status code issues that damage SEO performance.
Guy Sheetrit
AI agents are beginning to replace traditional search for an expanding range of queries—booking, purchasing, research synthesis, and task completion. This guide analyzes how agentic AI will reshape SEO by 2027, what new optimization disciplines are emerging, and how to position your brand for discovery in an agent-mediated web.
Guy Sheetrit
AI has fundamentally changed how customers discover, evaluate, and decide—making traditional customer journey maps obsolete. This guide explains how to remap the customer journey for an AI-first world, identify the new touchpoints that matter, and align your marketing strategy to the non-linear paths AI-mediated discovery creates.
Guy Sheetrit
AI is transforming paid advertising—from automated bidding to creative generation to audience targeting. This guide covers the best AI tools for PPC in 2026, how to use machine learning to maximize ROAS, and which manual controls still matter when AI runs your campaigns.
Guy Sheetrit
Canonical tags are one of the most powerful—and most misunderstood—tools in technical SEO. This definitive guide covers how canonical tags work, when to use them, common implementation mistakes, and how to use canonicalization alongside hreflang, pagination, and parameter handling for a technically flawless site.
Guy Sheetrit
Semantic density optimization is the practice of structuring content so AI engines can extract precise, citable answers from it. This guide covers semantic density scoring, entity coverage, topical depth signals, and how to write content that ranks in both organic search and AI-generated responses.
Guy Sheetrit
AI systems—from Google’s AI Overviews to ChatGPT—are increasingly capable of detecting and down-ranking inaccurate content. This guide explains why factual accuracy has become a direct ranking signal, how to fact-check content at scale, and how to build the editorial systems that protect your site from AI-driven accuracy penalties.
Guy Sheetrit
Most brands still measure influencer marketing by follower counts and likes. This guide shows how to properly calculate influencer marketing ROI, set up trackable campaigns, measure real revenue impact, and build a performance-driven influencer program that scales.
Guy Sheetrit
NotebookLM is Google’s AI-powered research and knowledge management tool that lets businesses upload documents, PDFs, and websites, then query them with AI. This guide covers how marketing teams, agencies, and knowledge workers can use NotebookLM to synthesize research, build knowledge bases, and accelerate content production.
Guy Sheetrit
Based on our most successful results and relationships, we looked at what we did differently than others and discovered basic, simple commonalities in design and development between these diverse organizations.
These principles, when acted on, ultimately revealed themselves on our clients' bottom line. We believe that to withhold these revelations would be of the highest disservice to the health and strength of the businesses we're championing with our apps.
While these principles are basic and simple, they may not be easy for everyone. We've discovered not every business is prepared to or at the point where we can trust them to achieve their goals. What we do know is if an organization is prepared to dance within these principles, we have no doubt that we can win it together.