01Built app
AI Visibility · AI-search readinessSearch & LLM Citations Research Platform
What it doesResearches brand entities, content structure, authority signals, retrieval readiness, and citation opportunities across leading generative-search platforms.
- Outcome
- Measure how clearly AI search systems can understand, retrieve, cite, and surface a brand.
- Why it matters
- Brands often cannot diagnose why they are absent from AI-generated answers and citations.
02Built app
E-E-A-T & Trust · Strategic auditAI Visibility Auditor Pro
What it doesEvaluates brand understanding, entity strength, content retrievability, and citation readiness across major AI platforms.
- Outcome
- Turn AI-search readiness analysis into a prioritized improvement plan.
- Why it matters
- Traditional SEO audits do not fully explain whether AI systems can understand, trust, and cite a brand.
03Built app
Citations & Answers · Citation trackingLLM Citation Tracker
What it doesTracks brand citations, source domains, competitor coverage, and content opportunities across major LLMs.
- Outcome
- Track where a brand is mentioned and cited across leading AI platforms.
- Why it matters
- AI citations are fragmented across platforms, making visibility and competitor gaps hard to monitor.
04Built app
Citations & Answers · Answer monitoringAI Answer Change Monitor
What it doesPreserves answer snapshots and flags brand losses, citation changes, new domains, and material response shifts.
- Outcome
- Detect meaningful changes in AI answers, citations, and brand visibility over time.
- Why it matters
- Teams cannot easily tell when a brand disappears, a citation is lost, or a competitor enters an AI answer.
05Built app
Citations & Answers · Controlled testingAI Citation Experiment Lab
What it doesStructures experiments using fixed queries, control and treatment observations, citation rates, and confidence checks.
- Outcome
- Measure whether a controlled content change is associated with improved AI citation visibility.
- Why it matters
- Before-and-after AI citation tests are often inconsistent, incomplete, or interpreted without enough evidence.
06Built app
Citations & Answers · Retrieval journeysAI Citation Reverse Engineering
What it doesMaps prompt fan-out, retrieved sources, cited pages, and brand recommendations to reveal actionable patterns.
- Outcome
- Explain how AI systems move from a question to searches, sources, citations, and recommendations.
- Why it matters
- Marketers can see an AI answer but not the retrieval journey or source patterns behind it.
07Built app
Citations & Answers · Brand accuracyAI Hallucination & Brand Fact Checker
What it doesChecks captured AI answers against a governed fact base and preserves findings for human review.
- Outcome
- Verify AI-generated brand claims against an approved source of truth.
- Why it matters
- AI answers can repeat inaccurate, outdated, or unsupported information about a brand.
08Built app
Citations & Answers · Query expansionQuery Fan-out Explorer
What it doesExpands questions into related queries, subtopics, entities, and content opportunities.
- Outcome
- Show how a broad question expands into the searches and subtopics needed to answer it.
- Why it matters
- A single keyword rarely reveals the full set of intents, entities, and evidence required for AI coverage.
09Built app
Content Strategy · Semantic architectureTopical Authority Mapping & Entity SEO Diagnostics Engine
What it doesMaps pillars and clusters, identifies semantic gaps, and recommends internal links and a content roadmap.
- Outcome
- Turn a website’s content inventory into a coherent semantic growth plan.
- Why it matters
- Sites often contain disconnected pages, weak clusters, missing entities, and underused internal links.