target-serp

Identifies and helps capture SERP features for target keywords, including featured snippets and position zero, People Also Ask boxes, knowledge panels, and rich results. It is used when the user asks about featured snippets, PAA optimization, rich results, schema markup for SERP features, or how to gain more SERP real estate. A reference table maps each feature type to its trigger query pattern and the content format needed to win it, for example a 40 to 60 word direct answer under a matching H2 or H3 for paragraph snippets, an ordered or unordered HTML list for list snippets, and a semantic HTML table for table snippets.

A prioritization matrix weighs each feature by traffic impact and effort to win and notes which content types each suits, and feature-combination patterns describe how to optimize when several features appear together, such as winning both an AI Overview and a featured snippet with structured, clearly answered content. A dedicated AI Overview versus traditional strategy table distinguishes format optimization, which traditional features reward, from authority and uniqueness, which AI Overviews reward.

The workflow is organized into steps. Step 1 audits current SERP features per keyword, documenting which features appear, who holds them, whether the site already appears, and winnability. Step 2 covers featured snippet optimization for paragraph, list, and table formats, with a checklist emphasizing that the heading should match the query, the answer should be self-contained and appear first, and the page should already rank on page 1. Step 3 covers People Also Ask optimization by collecting PAA questions, adding an FAQ section using the exact question as a heading, answering in two to three sentences, and marking up with FAQPage schema. Step 4 adds schema markup for rich-result eligibility and notes that Google restricted FAQ rich results in August 2023, so FAQPage schema now mainly aids AI extraction for most sites; it provides JSON-LD examples for FAQPage, HowTo, Article, BreadcrumbList, and VideoObject.