Learn
Read the guide that matches your current growth constraint.
Resources
Practical guides, definitions, and frameworks for SEO, AI discovery, analytics, conversion, and automation, written to be useful to people and citable by AI assistants.
These resources explain how we think and how the work gets done. They are written as answer-ready references so buyers can learn, and so search engines and AI assistants can understand and cite the material accurately.
Start with a guide that matches your current constraint, or use the glossary to get precise definitions for the terms used across the site.
A practical GEO guide covering foundational SEO, answer structure, entity consistency, crawler access, measurement, and optional AI context files.
What llms.txt is, what goes in it, and how to create this optional context file without treating it as an official search or AI ranking requirement.
A practical framework for building a growth system that connects strategy, creative, development, AI, data, and tracking instead of running disconnected campaigns.
A practical guide to setting up GA4 and server-side tracking: event taxonomy, tag manager configuration, conversions, consent, and ongoing data-quality QA.
A research-led CRO playbook: how to find friction, form hypotheses, prioritize tests, and run experiments that improve conversion without random guessing.
A practical guide to AI automation for small and lean teams: how to pick the right first workflow, keep humans in the loop, and avoid risky complexity.
A technical SEO checklist covering crawlability, indexation, site speed, structured data, internal linking, and the signals search engines and AI assistants need.
Audit website conversion across intent, messaging, trust, usability, forms, scheduling, mobile performance, analytics, and lead quality.
A practical ecommerce audit covering acquisition quality, store conversion, average order value, retention, margin, tracking, and operations.
A practical buyer guide for evaluating growth agencies, specialists, freelancers, and in-house options by problem, ownership, evidence, measurement, and fit.
Understand attribution limits and build a practical measurement system across UTMs, GA4, forms, Calendly, CRM, pipeline, revenue, and experiments.
Estimate AI automation value using frequency, time, quality, error cost, model and integration cost, human review, adoption, and risk.
Plain-language definitions for SEO, GEO, analytics, conversion, and growth terms.
How we build crawlable, structured, answer-ready sites for search and AI.
Read the guide that matches your current growth constraint.
Use the frameworks and checklists on your own site.
Identify where your system is leaking or under-instrumented.
Bring us the constraint and we will help connect the system.
Yes. The guides, glossary, and frameworks are free to read and apply.
We update the guides as search, AI discovery, and tooling evolve.
They can when the pages are accessible, relevant, and selected as useful sources. Clear HTML and accurate structure help retrieval, but no file or schema guarantees citation.
In 30 minutes, we will map the constraint and give you two or three practical next moves. No prep deck. No obligation.