Results for “organic-search”

Audits websites for technical, on-page, and content SEO issues, providing prioritized recommendations to improve organic search performance.

Search Google via Bright Data SERP API. Returns structured JSON results with title, link, and description. Requires BRIGHTDATA_API_KEY and BRIGHTDATA_UNLOCKER_ZONE environment variables.

Deepsearch deprecated shim

Guides selection of Qdrant search strategies including hybrid search, reranking, relevance feedback, MMR, and discovery APIs to improve retrieval quality.

Search the web and return structured results with titles, URLs, authors, and dates — no browser session required.

Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.

Diagnoses and improves Qdrant search relevance by isolating embedding model, configuration, or query strategy issues.

Diagnose and audit SEO issues affecting crawlability, indexation, rankings, and organic performance.

Diagnose and audit SEO issues affecting crawlability, indexation, rankings, and organic performance.

Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.

Diagnose which organic growth path to pursue by identifying where the growth constraint lives, using a fast triage based on the McKinsey Growth Pyramid.

Diagnose and audit SEO issues affecting crawlability, indexation, rankings, and organic performance.

Build production RAG and semantic search systems with a high-performance vector database written in Rust, supporting hybrid search, filtering, and horizontal scaling.

Design search experiences that help users find what they need, recover from failure, and refine results.

Layer 0 of the keyword research pipeline. Builds a topic-graph snapshot for the brand's category before any seed work, approximated from Semrush phrase_related + phrase_questions on the category seeds plus the brand's own ranking footprint (domain_organic_unique). Idempotent on brand-config hash; never blocks the pipeline; cheap.

Implement schema.org structured data markup to help search engines understand content and enable rich results in search.

Research the open web for enhancement opportunities (Layer 3 — Opus subagent with WebSearch + WebFetch). Topic-driven. Returns structured findings with hype tags + source URLs. Does NOT auto-implement.

Expert web researcher using advanced search techniques and synthesis. Masters search operators, result filtering, and multi-source verification. Handles competitive analysis and fact-checking. Use PROACTIVELY for deep research, information gathering, or trend analysis.

Guides database index selection, creation, and maintenance with SQL examples for PostgreSQL and MySQL.

Technical SEO, structured data, sitemaps, and meta tags.

Busca no Google via API SERP do Bright Data. Retorna resultados JSON estruturados com título, link e descrição. Requer as variáveis de ambiente BRIGHTDATA_API_KEY e BRIGHTDATA_UNLOCKER_ZONE.

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

Partial Indexes

Use this skill for SEO strategy, technical SEO prioritization, organic growth roadmaps, search risk review. Trigger when the task involves agent profile work related to SEO Director Agent, implementation, audits, debugging, strategy, or validation.

Query documented public database APIs with explicit endpoints, filters, pagination, and provenance for reproducible retrieval of scientific, regulatory, or financial facts.

Search the web using AIsa Scholar Web endpoint. Returns structured web results with titles, URLs, and snippets. Use when: the user needs web search, research, source discovery, or content extraction.

Search the web and fetch content from URLs, returning LLM-friendly markdown.

Retrieve relevant information from a knowledge base using semantic, keyword, or hybrid search to ground a query. Use when the task starts with a corpus or index that must be searched; use context-ranking when candidate chunks already exist and only need ordering.

SEO, AEO (Answer Engine Optimization), and GEO strategy for search engines and AI visibility. Use when working on "SEO audit," "technical SEO," "on-page SEO," "AI search optimization," "AEO," "GEO," "AI visibility," "optimize for ChatGPT," "optimize for Perplexity," "AI Overviews," "answer engine optimization," "generative engine optimization," "AI citations," "featured snippets," "meta tags," "schema markup," "search ranking," "content optimization," "E-E-A-T," "structured data," "search console," "SEO health check," "why am I not ranking," "AI search readiness," "backlink strategy," "link building," "domain authority," "programmatic SEO," "SEO at scale," "template-based SEO," "AEO monitoring," "AI search monitoring," "JSON-LD," "rich snippets," "schema.org," "SERP analysis," "search intent," "site architecture," "information architecture," "URL structure," "internal linking," or "navigation." For keyword research, see keyword-research-and-clustering.

Search YouTube SERP results through AISA for video research, channel discovery, trend checking, and competitor tracking. Use when: you need ranked YouTube results for a query, optionally filtered by country or language.

Perform semantic search, find similar content, and conduct structured research using the Exa API.