BrandlyticsAI gives growth, brand, and leadership teams a structured way to track how AI systems represent your company, how competitors are positioned, and where strategic corrections are needed.
Built to turn AI visibility into a durable decision system.
A structured read of how models frame your brand promise, reputation, and positioning across the prompts that matter.
Paid plans unlock the full audit plus section-by-section analysis with evidence, implications, monitoring hooks, and next actions.
Measure how your brand appears across major model families and answer engines, segmented by market context.
Benchmark visibility, ranking, sentiment, and citation share against the competitors AI keeps bringing into the same answers.
Spot misleading framing, weak positioning, and volatility before they affect trust, demand, or conversion.
Turn raw model outputs into clear, decision-ready narratives that marketing, brand, and leadership teams can use quickly.
Track performance at prompt level, understand where perception shifts, and prioritize the clusters that drive the most signal.
Keep a longitudinal view of visibility, sentiment, and competitor movement so strategy is based on trend, not snapshots.
See the supporting web searches AI models trigger behind the answer and turn those questions into content priorities.
The audit experience now has distinct layers, from the free preview to the paid full audit and the persisted deep-dive workspace.
See the overall shape of your brand perception audit, with selected insights visible and premium sections partially obscured.
Growth unlocks the full audit across positioning hooks, strategic DNA, vulnerabilities, personas, and the section-by-section Audit Deep Dive layer.
Scale and Enterprise keep the full audit plus Audit Deep Dive access, while adding more audit capacity and operational headroom.
Launch a project quickly, with structured setup that supports reliable monitoring.
Start with your brand website, target country, and language. That gives the model a clear market lens before the first audit runs.
Generate market-relevant prompts automatically from your brand context, then tune them manually as the strategy evolves.
Run the first execution cycle to establish where you stand today in recommendations, perception, and rankings.
A repeatable operating loop for ongoing AI visibility control.
Track how AI systems describe your brand in each market, including narrative tone, framing, and recommendation presence.
Narrative And Sentiment Visibility
Read how frequently your brand is framed positively, neutrally, or negatively in each market.
Prompt-Level Perception Context
Inspect response-level language patterns for each strategic prompt cluster so you know why the model says what it says.
Brand Vs Competitor Language
Compare the descriptors used for your brand versus alternatives in the same responses.
Measure where your brand is placed inside AI-generated comparisons and recommendation lists over time.
Average Rank Distribution
Monitor where your brand lands across recommendation results by intent and topic.
Top 1 / Top 3 / Top 10 Movement
Track movement between key rank buckets to measure visibility momentum.
Competitive Ranking Timeline
See whether rivals are gaining or losing ranking share in the same prompts.
Monitor the broader reputation layer: sentiment stability, risk signals, source credibility, and citation dynamics.
Sentiment Shifts And Volatility
Detect unstable brand perception before it becomes pipeline or trust risk.
Citation Share And Source Quality
Measure how often trusted sources are used to support statements about your brand.
Narrative Risk And Accuracy
Flag risky framing and factual inconsistencies that need fast correction.
Run recurring scans, compare execution history, and transform week-over-week changes into clear strategic actions.
Execution Timeline With Risk Levels
Review each scan cycle with timestamped outcomes and risk classification.
Smart Execution Mode
Smart execution is designed to optimize and maximize the value of your execution limits, prioritizing the prompts and timing that deliver the most signal for the budget available.
Historical Visibility Drift
Understand whether brand momentum is improving, stagnating, or deteriorating over time.
Repeatable Team Cadence
Create a weekly rhythm for growth, brand, and leadership decision reviews.
A few simple terms that make the product easier to understand while you explore AI visibility monitoring and the audit workflow.
A question or request we send to an AI system to see how it responds about your brand, competitors, or category.
A large language model: the type of AI that generates answers, summaries, and recommendations in natural language.
How often and how clearly your brand appears when someone asks an AI system about your category or market.
The impression AI systems create about your brand, including how they describe you, compare you, and recommend you.
A source the AI uses to support its answer. Citations help you see which pages or references influence the result.
The tone of the answer about your brand. It helps show whether AI speaks about you in a positive, neutral, or negative way.
Your starting point. It is the first measurement we create so you can compare future changes against today.
The repeated checking over time that lets you see whether AI visibility and brand perception are improving or drifting.
A supporting web search the model triggers while expanding the original prompt into sub-questions before answering.
Another brand that appears in the same category or comparison set, so you can see how you stack up against alternatives.
Launch your first project in minutes and establish a monitoring system your team can scale.
No credit card required. Fast setup.