Skill UI

This powerful tool monitors target keyword rankings across major search engines (e.g., Google) and tracks the presence and ownership of various SERP features (such as AI Overviews, Featured Snippets, and Local Packs). It establishes performance baselines and generates critical alerts when rankings drop significantly, or when the structure of search results changes, providing comprehensive visibility into organic search health.

Calculate and track a brand's Share of Voice (SOV) against competitors using multi-dimensional data. This tool provides a comprehensive view of brand visibility across organic search rankings, paid advertisements, social media mentions, and modern AI engine citations. It is a critical metric for assessing market share and identifying competitive momentum shifts.

A comprehensive tool for managing and optimizing XML sitemaps. This utility allows users to analyze existing sitemaps for SEO health issues (e.g., 404 errors, stale dates, robots.txt conflicts) and to generate new, structured sitemaps. It adheres to industry best practices across various models (eCommerce, SaaS, etc.), ensuring optimal indexation for search engines.

Performs a deep dive technical SEO audit, covering core web vitals, crawlability, indexation, site architecture, and structured data. This audit identifies technical debt and provides a prioritized, actionable report with specific fixes and expected impact for improving search engine visibility and ranking.

This skill performs a deep technical SEO analysis, diagnosing fundamental website issues related to search engine visibility and performance. It covers optimizing Core Web Vitals, improving crawlability via robots.txt and sitemaps, fixing rendering problems (JavaScript SEO), managing complex redirects, and ensuring optimal site architecture. Use it for comprehensive site audits, migrations, and performance tuning.

A comprehensive guide for authors targeting the ACM International Conference on the Foundations of Software Engineering (FSE). It helps assess manuscript fit, refine the scientific narrative, strengthen empirical evidence, and understand venue-specific requirements for SE foundations, tools, and AI applications. Use this to strategically position your research for top-tier SE conferences.

A comprehensive guide for researchers developing manuscripts in Accounting, Organizations, and Society (AOS). It teaches how to select, deeply inhabit, and generate analysis using established social or organizational theories (e.g., Institutional Theory, Bourdieu, Foucault). The goal is to ensure the theory is the generative engine of the paper, rather than merely decorative framing. This framework guides the transition from description to rigorous, theory-driven contribution.

A comprehensive guide for researchers and reviewers designing or auditing Automated Software Engineering (ASE) evaluations. It outlines the necessary rigor, including the use of real subject systems, establishing fair and runnable tool baselines, performing targeted ablations (especially for LLMs), defining explicit oracles, and ensuring full data and model provenance to guarantee reproducible and scientifically sound results.

A detailed guide for authors writing the Related Work section of an Automated Software Engineering (ASE) paper. It teaches the crucial 'delta argument' methodology, emphasizing that positioning must be against prior automated tools, covering multiple SE literature lanes, and conducting fair, head-to-head empirical comparisons to clearly delineate the novelty of the proposed work.

A comprehensive guide for researchers submitting to ASE (Automated Software Engineering). It details mandatory requirements for ensuring research reproducibility, covering the Data Availability Statement, providing anonymized and runnable tools, pinning system provenance (commits, versions, SHAs), and managing cached LLM outputs. Essential for passing rigorous peer review.

A comprehensive guide detailing the complete academic review pipeline for IEEE/ACM Automated Software Engineering (ASE) submissions. It explains unique stages like the early-rejection gate, the criteria-bound revision process, and the difference between ASE's cycle and those of peer conferences (e.g., ICSE, FSE). Essential reading for authors aiming to submit high-quality research in automatic software engineering.

Provides comprehensive guidance for researchers deciding the optimal conference venue for Software Engineering (SE) research. It distinguishes between contributions that focus on *automation* (techniques or tools that automate SE tasks) suitable for ASE, versus those that are broad empirical findings, theoretical results, or pure ML advances, directing them to venues like ICSE, FSE, or ISSTA.