AI SONAR™ continuously monitors how your business appears across ChatGPT, Gemini, Claude, Copilot, and Perplexity — delivering structured reports on visibility status, mention accuracy, competitor movements, and signal health before problems cost you recommendations.
AI systems continuously update their knowledge graphs, re-index content, adjust weighting algorithms, and respond to new information from competitors, industry sources, and user feedback patterns. A business that achieves Recommendable™ status today is not guaranteed to maintain it tomorrow.
Signals decay when they are not maintained. Competitors strengthen their authority layers. New AI systems enter the market. Events — a name change, a new competitor, a regulatory development — can alter how AI systems classify and recommend a business without any action on the business's part.
AI SONAR™ is the monitoring layer that ensures a business always knows exactly where it stands — in real time, across every major AI system, against every relevant competitor.
Consistent recommendation across all five systems is the mark of true AI authority. AI SONAR™ monitors all five simultaneously.
OpenAI's GPT-4o and successors — the most widely used AI assistant globally
Google's AI system — deeply integrated with Google Search and Workspace
Anthropic's Claude — increasingly used for professional and enterprise queries
Microsoft's AI — integrated into Bing, Edge, and Microsoft 365
AI-native search engine — high adoption among research-oriented buyers
Each monitor type targets a specific aspect of AI visibility. Together they provide complete situational awareness.
Every time the business is mentioned in an AI-generated answer — across all five systems. Records the query that triggered the mention, the context, the accuracy of the description, and the sentiment. Distinguishes between primary recommendation, secondary mention, and comparison mention.
Frequency: Continuous · 24/7For every target buyer query in the Intent Registry, tracks the business's current position in AI recommendation responses — first, second, third, or absent. Week-over-week trend with directional indicator. Competitor ranking positions tracked on the same queries for direct comparison.
Frequency: Weekly per query · Daily for high-priority queriesMaintains a continuous AI Visibility Score — updated weekly — reflecting the business's current AI visibility across all five stages of the AI Visibility Ladder from Findable™ to Recommendable™. Benchmarked against the baseline from the most recent AI AUDIT™ and trended over time with week, month, quarter, and year views.
Frequency: Weekly update · Monthly trend analysisMonitors the top three competitors on the same target queries. Tracks their mention frequency, ranking positions, description accuracy, and any changes to their signal layer or authority profile. When a competitor strengthens their position or deploys new signals, AI SONAR™ detects this and flags it as a competitive event requiring strategic response.
Frequency: Weekly · Monthly competitive intelligence reportMonitors the health of all 167 deployed signals. Checks every signal file for accessibility, consistency, and currency. Detects signal decay — where a previously deployed signal has become inaccessible, inconsistent, or outdated — and triggers an alert before the decay impacts the visibility score.
Frequency: Daily health check · Immediate alert on anomalyEvaluates whether AI systems are describing the business correctly — correct name, correct category, correct services, correct location. Inaccuracies are flagged and traced to the specific signal gap or inconsistency causing the error. Correction recommendations are included in the next weekly report.
Frequency: Weekly · Immediate alert on significant inaccuracyDo not wait for the weekly report to learn about critical changes. AI SONAR™ alerts immediately when it matters.
Immediate alert when AI Visibility Score drops 5 or more points in a single week. Includes dimensional breakdown identifying which layer is causing the decline.
Immediate alert when any signal file becomes inaccessible to AI crawlers — within hours of the failure occurring. Includes affected file and recommended corrective action.
Alert when a competitor's mention frequency for shared target queries increases by 20% or more in a single week — indicating a significant authority signal deployment.
Alert when AI systems begin describing the business incorrectly in two or more monitored query responses — indicating a knowledge graph conflict requiring immediate resolution.
Alert when a new AI system enters the market that requires signal format updates or crawler permission additions — with recommended technical actions.
Alert when the business drops out of the top three recommendation positions for any high-priority target query — with competitive analysis of which business has taken the position.
Current AI Visibility Score, mention frequency, ranking positions for all target queries, signal health status, and competitor positions — updated continuously.
AI Visibility Score and trend, mention count and accuracy, ranking positions and trend, competitor movements and events, signal health anomalies, and recommended actions for the coming week.
Six alert types delivered immediately when triggered. Each alert includes the event, the dimensional analysis, and the recommended corrective action.
Complete historical visibility data from the first monitoring date. Week, month, quarter, and year views. Used to demonstrate ROI of AI visibility investments and identify long-term patterns.
Structured monthly reports on competitor AI visibility movements, signal layer changes, authority gains, and strategic positioning shifts — with recommended strategic responses.
All target buyer queries are drawn from the Intent Registry built by AI LENS™. Queries cover direct recommendation requests, comparison requests, category searches, location-filtered searches, and problem-based searches across all target markets and languages.
Every target query is run on a defined schedule — daily for high-priority queries, weekly for secondary queries — across all five AI systems. Results are captured, structured, and stored in the monitoring database.
Results are evaluated against the expected mention, expected description, and expected ranking position defined in the AI Visibility baseline from the most recent AI AUDIT™. Every deviation is classified and severity-scored.
Every anomaly — unexpected mention, unexpected absence, unexpected competitor gain, description inaccuracy, signal health failure — is classified by type, severity, and likely cause. Classification determines alert priority and corrective action.
Alerts are dispatched immediately for critical anomalies. Weekly reports are compiled from all monitoring data and dispatched every Monday. Monthly competitor intelligence reports are compiled from weekly data and dispatched on the first Monday of each month.