What it is.
Manoj Palanikumar wrote seven annotated format templates: blog introduction, Q&A section, comparison table, how-to guide, authority paragraph, listicle item, and long-form section. Each names what the opening has to do and where the schema goes.
AI engines pull from the first 100 to 150 words of a section, so an answer sitting in paragraph four never gets read. Paragraphs run 2-3 sentences, and the target phrase appears once inside the first 100 words.
This is TripleDart's own guide, and it names our own tooling for running the process across 50 to 100 pages per month. The format templates work by hand.
What you get.
- Seven annotated format templates, from blog introduction to long-form section.
- The 100 to 150 word extraction window stated as a constraint you write inside.
- Schema types matched to format: FAQ, HowTo, Article, and Product.
- A five-step action plan for applying it to pages already published.
- Paragraph limits, at 2-3 sentences each.
How to set it up.
Pick the format for the page: Q&A, comparison, how-to, listicle, or long-form.
Put the direct answer in the first 100 to 150 words of every section, because that is the extraction window.
Open with a TL;DR block and a definition sentence, then put the credibility signal underneath.
Keep paragraphs at 2-3 sentences and use the target phrase once in the first 100 words.
Add JSON-LD for the format you chose, so FAQ schema on a Q&A page and HowTo on a process page.
Score existing pages against the same checklist and start with the ones already showing in AI Overviews.
Use cases
Format a Q&A block properly
Use the annotated template so the answer sits where an engine can lift it.
Build a comparison table
Follow the structure that keeps each row extractable on its own.
Write inside the extraction window
Keep the answer short enough to be quoted whole.
Best for
Writers who need specifics
Advice to write for AI is useless. Seven annotated templates with word counts is something a writer can execute.
Auditing a live library
The five-step plan is built for retrofitting pages that already have traffic.
Standardizing across a team
Seven formats with the same structure every time means two writers produce pages a model reads the same way.