#AEO

Superlines connects your AI assistant to real-time analytics on how AI search engines represent your brand. As search shifts from traditional Google results to AI-generated answers, Superlines helps you understand and improve your Share of Voice in this new landscape. What you can do: - Monitor AI Search Performance - Track brand visibility, citations, and mentions across 10+ AI engines - Measure Share of Voice against competitors - Analyze sentiment of AI-generated responses about your brand - Discover Opportunities - Find content gaps where competitors outrank you - Identify high-volume queries where your brand is missing - Get prioritized action plans with improvement potential scores - Optimize Your Website - Audit pages for LLM-friendliness (technical + content) - Generate optimized Schema.org structured data - Analyze why competitor URLs are winning citations Key tools: analyze_metrics - Get comprehensive visibility, citation, and SOV data get_competitive_gap - Find prompts where competitors are winning find_content_opportunities - Discover topics with high volume but low visibility webpage_audit - Full LLM-friendliness audit for any URL generate_strategic_action_plan - Get prioritized recommendations Who it's for? Marketing teams, SEO professionals, and content strategists who need to understand and improve their brand's presence in AI-powered search. Requirements: Superlines account with API access (paid subscription)

At BittleBits, we build AI visibility and Generative Engine Optimization (GEO) tools that help companies optimize their content for AI systems like ChatGPT, Claude, Gemini etc. We’ve developed a proprietary AI model that analyzes how AI systems evaluate, trust, and cite content in conversational responses, helping brands improve discoverability across AI-powered search. Bittlebits has a Model Context Protocol (MCP) integration that lets you bring your GEO scores and rewrite suggestions directly into AI agents — whether you're using Claude Code in your terminal, GitHub Copilot in your IDE, or an AI web app, instead of copying content back and forth, AI can read exactly what Bittlebits recommends and help you apply those changes, including writing them directly into your codebase.

mcp-kinetic-gain is a single stdio MCP server that exposes all eleven Kinetic Gain Protocol Suite specs to any MCP-compatible client (Claude Desktop, Cline, Cursor, etc.) — 71 tools across AEO Protocol, Prompt Provenance, Agent Cards, AI Evidence Format, MCP Tool Cards, AI Tutor Cards, Student AI Disclosure, Classroom AI AUP, Clinical AI Disclosure, AI Incident Card, AI Procurement Decision Card, plus the DefenseTech 6-pack tooling shipped in v0.8.0. Includes ed25519 attestation verification, hash-chained audit-stream event composition and chain verification (offline AND live against a running audit-stream-py via the optional AUDIT_STREAM_URL env var), cross-spec drift detection, and a Decision Intelligence preview that generates a PolicyBundle from a Decision Card, infers rubric status, and plans incident remediation. Also doubles as a CLI: `npx mcp-kinetic-gain validate path/to/doc.json` auto-detects which Suite spec a JSON file belongs to and validates it against the same zod schemas the MCP tools use. No API key. No build step. Headline tools: aup_check_compliance, decision_card_validate, decision_card_to_policy_bundle, attestation_verify, suite_doc_drift, audit_chain_verify, audit_event_emit, audit_events_query, audit_chain_verify_live. Repo: https://github.com/mizcausevic-dev/mcp-kinetic-gain Suite: https://suite.kineticgain.com License: Apache-2.0