Guides
Straight answers to the questions founders ask about search, AI answers and product metrics. Each one answers in the first two sentences, carries a table you can lift, and is dated.
Search and indexing
Google indexing: why pages aren't indexed and how to fix it
How Google indexing works, what 'crawled' and 'discovered - currently not indexed' mean, and how to fix them with URL Inspection, sitemaps and IndexNow.
Updated
Schema markup: what it is, which types matter and how to test it
What schema markup is, JSON-LD vs Microdata vs RDFa, the types most sites need, what changed for FAQ rich results, and how to test your structured data.
Updated
E-E-A-T explained: experience, expertise, authority and trust
What E-E-A-T (EEAT) means in Google's Quality Rater Guidelines, why it is not a direct ranking factor, and how bylines, author pages and schema help show it.
Updated
AI search
Google AI Overviews: how they work and how to get cited
How Google AI Overviews and AI Mode choose and cite sources, what query fan-out means, what site owners can control, and how to measure it in Search Console.
Updated
How to rank in ChatGPT and get your site cited
How to rank in ChatGPT search: let OAI-SearchBot crawl you, get indexed by Bing, earn brand mentions, publish citable facts, and check whether you are cited.
Updated
llms.txt explained: the format, llms-full.txt and who reads it
What llms.txt is, how the format works, how it differs from llms-full.txt and robots.txt, which AI tools actually read it, and an example file you can copy.
Updated
Product metrics
The aha moment: what it is and how to find yours
What an aha moment is, how it relates to activation and time to value, and how to find yours from GA4 or any product analytics event data.
Updated
Retention rate: formula, types and how to read a cohort table
How to calculate retention rate with a worked example, N-day vs unbounded vs bracket retention, cohort tables, and net revenue retention explained.
Updated
Churn rate: how to calculate it, read it and reduce it
How to calculate churn rate with worked examples, logo vs revenue churn, converting monthly to annual churn, and how cohorts and exit surveys reduce it.
Updated
Product market fit: what it means and how to measure it
What product market fit means, how to measure it with the Sean Ellis 40% test and retention curves, the signals to watch and the common false positives.
Updated
North star metric: what it is and how to choose yours
What a north star metric is, how it differs from revenue, how to build an input metrics tree, examples by business model and the pitfalls to avoid.
Updated
Reliability
Give your product a team that never clocks off.
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