Seekde Features
Seekde currently combines independent AI-search research with a client-side intent explorer; automated monitoring and visibility analytics remain planned.
Seekde is designed around a focused mission: providing the empirical evidence and diagnostic frameworks organizations need to understand their visibility across AI search and answer engines.
Rather than duplicating all-purpose traditional SEO suites, Seekde specializes in the unique measurement problems created by generative discovery, neural retrieval, and AI citation models.
Below is the complete feature architecture of Seekde, explicitly classified by implementation status:
1. Available Now: Research & Diagnostic Intelligence
Educational Intelligence & Technical Frameworks
The Seekde Blog provides in-depth, practitioner-ready research analyzing the algorithms, protocols, and content models that influence generative engines:
- Architectural Foundations: Our authoritative guide, Architecture of Generative Answer Engines, detailing hybrid BM25/vector search, neural rerankers, and citation synthesis.
- Protocol Guides: Actionable technical teardowns covering AI user-agents, robots.txt directives, and JSON-LD schema engineering.
- Strategic Methodologies: Rigorous frameworks for measuring brand presence and optimizing passage extractability.
Action-Oriented Editorial Diagnostics
Diagnostic checklists and evaluation criteria enabling technical teams to evaluate:
- AI crawler accessibility and robots.txt configurations.
- Entity clarity and Knowledge Graph salience.
- Passage quotability, claim density, and numeric precision.
- Schema coverage supporting direct fact extraction.
2. Interactive Preview: The Homepage Intent Explorer
The Seekde homepage features a functional Interactive Preview illustrating the core user experience of an intent-first discovery engine:
Single-Prompt Intent Explorer
Allows visitors to submit arbitrary search queries or select preset topics to observe how modern answer engines parse user intent.
Dynamic Intent Classification
Demonstrates how search queries are categorized by primary goal (Informational & Technical exploration, Comparative analysis, Architectural inquiry) rather than matched to static keywords.
Modular Subtopic Breakdown
Demonstrates the decomposition of broad queries into four prerequisite technical topic cards, facilitating structured research.
Illustrative Source Attribution Cards
Presents structured publisher attribution cards rendering source names, reference indexes, and topical relevance summaries alongside generated answers.
Implementation Transparency: The homepage explorer operates entirely client-side using curated demonstration datasets (product-home.js) to showcase UI architecture; it does not connect to commercial LLM APIs.
3. Planned Product Capabilities (Active Development)
The Seekde engineering roadmap includes the following automated measurement and intelligence tools:
Automated Prompt-Set Monitoring
Organize business-critical prompts across problem categories, competitor comparisons, and transactional use cases. Automatically track identical prompt clusters across Google AI Overviews, ChatGPT Search, and Perplexity on scheduled intervals.
Brand Mention Detection & Disambiguation
Identify whether your brand and selected competitors appear in synthesized responses. Automatically normalize brand aliases, domain variations, and product names against entity records.
Citation & Source Recurrence Tracking
Track which URLs, domains, and content types are repeatedly cited across prompt clusters. Distinguish first-party website citations from third-party editorial coverage.
Competitor Gap Analysis
Benchmark brand visibility against direct competitors across identical prompt sets. Pinpoint prompt families where competitor presence is strong and your brand is absent.
Longitudinal Share of Model (SoM) Analytics
Track brand presence trends over 30-, 60-, and 90-day observation windows. Provide statistical confidence intervals that account for non-deterministic model variance.
AI Crawler Log Intelligence
Automated ingestion of server access logs to detect, verify, and monitor request frequency from OAI-SearchBot, GPTBot, PerplexityBot, and Google-Extended.