252 skills ・ Works with: Search Console · sorted by popularity
Create and audit JSON-LD, structured data that describes page content to search engines. Check JSON syntax, schema types, and required fields for articles, products, FAQs, and breadcrumbs, then guide validation for enhanced search results.
Audit important pages for settings that interfere with search indexing, including noindex directives, HTTP headers, and robots.txt rules. Identify accidental restrictions, suggest configuration fixes, and guide follow-up checks in Google Search Console.
Audit how a brand appears in AI search answers and identify improvements to its content and website access. Review citation patterns, clear answer structure, supporting evidence, and whether AI systems can retrieve key information.
Audit a website for problems affecting search visibility, from search engine access and indexing to speed, page titles, content, and links. Receive evidence-based findings and a prioritized action plan, including checks for multilingual and local business sites.
Add or repair structured data, labels that help search engines understand page content. The skill selects suitable schema types, prepares JSON-LD code, and provides validation checks while distinguishing supported Google search features from retired ones.
Use AltoRank to check whether search engines and AI assistants can read a site, review stored Search Console data, research keywords, and create SEO article drafts. Drafts enter a review queue where a person decides what to publish.
Use a concise SEO reference to review content credibility, page performance, site structure, and page elements. It explains key checks, structured data types, measurement tools, and editorial practices for AI-assisted content.
Create or fix structured data, code that describes page content to search engines. The skill selects suitable schema.org types, prepares JSON-LD markup, and provides placement instructions and validation checks for products, articles, FAQs, and other pages.
Audit a website for search visibility problems across indexing, technical performance, page content, and links. Produce findings with supporting evidence, estimated impact, and specific fixes organized into a prioritized action plan.
Plan customer acquisition through paid ads, SEO, and partnerships for growing B2B SaaS startups. Includes campaign templates, customer acquisition cost calculations, and HubSpot tracking guidance to connect marketing activity with sales opportunities.
Plan customer acquisition across paid ads, SEO, and partnerships. Structure channel budgets, calculate customer acquisition cost, define lead handoffs to sales, and set up campaign tracking to understand which activities contribute to new business.
Audit, create, and fix structured data, the labels that help search systems understand web pages. Get JSON-LD code for articles, products, and other page types, plus validation findings and guidance on where to place it.
Audit a website’s technical setup, page elements, and content for search visibility issues. Produce page and site health scores, evidence-backed findings, and a prioritized action plan covering urgent fixes, practical improvements, and longer-term work.
Group keywords by what searchers want and assign each group to an existing or proposed page. Produce a page map, priorities, and content briefs, while checking whether multiple pages compete for the same searches.
Get practical SEO guidance based on a site's goals and existing data. Understand OpenSEO workflows, choose a next step, and learn when to use search performance data, web search, or page content extraction.
Analyze a named competitor's unpaid search traffic, ranking keywords, content themes, and links from other websites. Identify strengths, weaknesses, and relevant opportunities, with an optional comparison to your own site and a report of recommended actions.
Set up shared SEO project information in OpenSEO through a guided interview. Save website scope, goals, positioning, competitors, key pages, and writing preferences, then check connections and prepare Google Search Console data for later workflows.
Turn topics, products, or audience problems into a prioritized keyword list. Compare search volume, ranking difficulty, search intent, and search results to recommend target terms and pages, with optional saving and tagging after confirmation.
Find content losing search impressions and clicks using Google Search Console. Rotate through pages based on refresh history, update dated copy, statistics, and internal links, and open a pull request for human review.
Use Google's APIs to review search performance, page speed, indexing status, and organic traffic. Combine real visitor measurements with search and analytics data to identify SEO issues and create reports.
Audit the technical factors that affect how search engines discover and index a website. Check crawl access, URLs, security, mobile pages, loading performance, and JavaScript rendering, then report measured results with prioritized fixes.
Audit multilingual and regional websites for hreflang errors, the annotations that connect language versions. Generate corrected tags or sitemaps, and check for missing translations, inconsistent local formats, and content that needs cultural adaptation.
Audit content for AI search by checking clear answers, supporting sources, author and brand information, and crawler access. Receive a readiness report with prioritized improvements and specific suggestions for rewriting passages.
Detect and check structured data, machine-readable descriptions of page content, and generate suitable Schema.org JSON-LD snippets. Get a report of missing fields, syntax errors, and markup issues, plus code prepared for implementation.