seo-images

Audit image SEO issues and generate paste-ready <picture> markup.

116|28|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/seranking/seo-skills --skill seo-images-seranking
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-images
Source: https://github.com/seranking/seo-skills/tree/main/skills/seo-images
Command: npx skills add https://github.com/seranking/seo-skills --skill seo-images-seranking

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Image assets are often under-optimized for SEO, accessibility, and performance, leading to missed ranking opportunities and slower pages. This Skill provides a focused, page-level (or domain-sample) audit of images to surface alt-text gaps, format coverage, responsive sizing gaps, lazy-loading signals, CLS risks, and licensable-image opportunities, and it outputs a prioritised remediation list with paste-ready markup and optional ImageObject JSON-LD.

Core Features & Use Cases

  • Per-image alt-text checks (presence, quality, length, and uniqueness), format coverage (WebP/AVIF), and responsive sizing signals (srcset/sizes), all at page or domain-sample scale.
  • Generates ready-to-paste <picture> markup alongside optional ImageObject JSON-LD blocks for licensable images, plus a prioritized remediation list for stakeholders.
  • PSI and SE Ranking cross-references are integrated when configured to enrich the image-quality signal and save engineering effort.

Quick Start

Audit the target URL or domain sample and generate a remediation package including ready-to-paste <picture> blocks and optional ImageObject JSON-LD.

Frequently Asked Questions about seo-images

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit image SEO issues like missing alt text and legacy formats on a URL?

Image SEO audits scan a URL or domain sample to identify missing alt text, legacy formats, and responsive sizing gaps. The analysis evaluates per-image attributes and outputs a prioritized remediation list with paste-ready markup fixes.

How do I generate paste-ready picture markup and ImageObject JSON-LD for images?

Generating paste-ready picture markup and ImageObject JSON-LD involves auditing image assets for format coverage and licensable-image opportunities. The audit outputs ready-to-paste HTML blocks alongside optional structured data for immediate implementation.

What causes cumulative layout shift CLS risks from images, and how do I fix them?

CLS risks from images stem from missing responsive sizing signals like srcset and sizes attributes. An image SEO audit detects these dimensional gaps and provides prioritized remediations with paste-ready markup to stabilize layout rendering.

Does this image SEO audit support WebP and AVIF format coverage checks?

Image SEO audits support WebP and AVIF format coverage checks by scanning page-level or domain-sample images. The analysis surfaces legacy format usage and generates ready-to-paste picture markup to implement modern, optimized formats.

Can I check lazy-loading signals and ImageObject readiness across a domain sample?

Checking lazy-loading signals and ImageObject readiness across a domain sample is fully supported. The audit identifies non-optimized lazy-loading on hero and content images, surfacing patterns and generating actionable remediations.

What is the best way to fix image-related SEO and performance issues at scale?

The best way to fix image SEO and performance issues at scale is running a domain-sample audit. It surfaces alt-text gaps, format coverage, and CLS risks, outputting a prioritized remediation list with paste-ready markup and JSON-LD.