Presence
Does your company appear when relevant buyers research the problems, categories and solutions you compete for?
AI Visibility Monitoring for B2B Companies
Continuously understand how your company and competitors appear across AI-driven buyer discovery, what is changing and which changes actually deserve action.
Lexogrine combines controlled measurement, competitive intelligence and analyst interpretation across the AI surfaces that matter to your buyers.
Discuss AI Visibility MonitoringFrom measurement to a decision
- 1.Measure consistently
A defined buyer cohort, surfaces, markets and languages.
- 2.Interpret in context
Competitors, sources, portrayal and platform changes.
- 3.Decide what deserves action
Analyst-reviewed evidence, not another stream of alerts.
AI visibility changes even when you change nothing
Your website can stay exactly the same while your AI visibility moves. A model may change. Retrieval behavior may shift. A competitor may publish new information. A source may gain or lose influence. The way an AI platform presents recommendations, citations or generated answers may evolve.
Audit / Baseline
A point-in-time Audit can establish an important baseline.
Monitoring / Ongoing
Monitoring tells you when that baseline starts to move.
Lexogrine's AI Visibility Monitoring is a managed, month-to-month service for B2B companies that tracks brand presence, competitors, citations, sources and portrayal across relevant AI discovery platforms, then turns recurring measurement into analyst-reviewed recommendations.
Monitoring software can collect the data. Someone still has to interpret it
AI visibility software can be useful. It can run prompts, count mentions, detect citations, compare competitors and draw trend lines. But the harder questions come afterward.
- Is the movement persistent?
- Does it affect an important buyer intent?
- Is it isolated to one platform?
- Did your company change or did the platform?
- Is the evidence strong enough to act on?
- What should your team actually do next?
The dashboard is not the service.
Lexogrine operates the measurement layer, reviews the evidence and translates meaningful movement into an operating signal your team can use. Tooling supports measurement. Lexogrine provides the interpretation.
Monitor more than mentions
AI visibility is not one ranking and it should not be reduced to one opaque score. Our framework separates four dimensions.
Prominence
When you appear, how visible are you relative to competing companies?
Portrayal
How are your company, products and capabilities described? Is important information correct, outdated or incomplete?
Persuasion
Are you simply mentioned, presented as a viable option or actively recommended for a particular use case?
A company can maintain Presence while losing Prominence, recommendation strength or supporting citations. Those changes should not be hidden inside one number.
- Surface observations
- Source observations
- Portrayal observations
- Review points
- Observations
Repeated measurements
- Contextual signals
Persistence and buyer relevance
- Analyst review
Evidence checked in context
- Decision
Act, investigate or keep watching
Monitor the discovery environment that matters to your business
We do not try to monitor the AI internet in general. We define the buyer discovery environment that matters commercially to your company.
Prompt CohortSurfaceMarketLanguage
Buyer prompt cohort
Monitoring can cover category research, problem discovery, requirements definition, comparisons, recommendations, shortlist creation and vendor selection.
The cohort remains sufficiently stable to measure change over time. When the market, offering or buyer journey changes materially, we version it deliberately rather than silently replacing the baseline.
Markets and languages
A company may be highly visible in one market and almost absent in another. Measurement can be segmented across the United States, Europe and Poland, including multi-market and multi-language scopes.
We do not collapse different markets into one global visibility score.
AI surfaces
Relevant surfaces may include the platforms below. The final surface set is selected according to buyer relevance and current platform availability.
ChatGPT Search
Google AI Overviews- Google AI Mode
Gemini
Anthropic Claude
Microsoft Copilot
Perplexity
See what is changing around your brand
AI visibility exists inside a competitive and informational environment. Monitoring tracks how that environment moves.
Competitors
- Tracked competitors
- Companies you already consider strategic competitors.
- Observed competitors
- Companies increasingly surfaced by AI systems within the same buyer journey.
Signals can include presence changes, recommendation movement, changing buyer-intent coverage, relative discovery share and new competitive entrants.
Sources and citations
Where observable, we monitor your own website, competitor websites, editorial publications, review and comparison platforms, directories, communities, documentation, institutional sources and other relevant third parties.
Potential signals include new or disappearing citations, emerging high-frequency sources, competitor source advantages and meaningful changes in source mix.
We do not pretend to reconstruct a platform's complete retrieval process where that information is not exposed.
Brand portrayal
We can track material changes in how AI systems describe your company category, products and services, use cases, target customers, capabilities, commercial model, integrations and important factual information.
This can reveal outdated information, category drift, incorrect associations or competitor confusion.
Material accuracy findings are reviewed before they are escalated.
Surface the changes that deserve attention
More alerts do not create better intelligence. AI-generated responses naturally vary. Your team should not react every time one answer changes.
Lexogrine evaluates movement based on persistence, scale, affected buyer intents, platform coverage, competitive relevance, business importance and supporting evidence.
No material change
Normal variation without a meaningful commercial signal.
Movement to watch
A developing pattern that deserves observation before action.
Meaningful change
A persistent or commercially relevant shift.
Action recommended
Evidence is strong enough to justify investigation or response.
Know whether you changed or the platform did
Not every visibility movement is caused by your company. AI platforms themselves evolve. A change may result from model updates, retrieval changes, search index changes, citation behavior, source-selection patterns or product and interface changes.
When broader observations move alongside your own results, that context matters. Otherwise, a platform-level change can easily be mistaken for a company-specific problem.
Our measurement approach is designed to preserve enough context to ask:
Company-specific change
Did something change about us?
Environment-wide change
Did something change about the environment being measured?
That distinction can determine whether your team should act at all.
A monthly readout built for decisions
AI Visibility Monitoring is a managed intelligence service, not an automated reporting subscription. A standard monthly cycle can include:
Visibility & Competitive Movement
Changes in Presence, Prominence, recommendations and competitive positioning.
Source & Citation Intelligence
Important changes in observable sources and citation patterns.
Portrayal Watch
Material changes in how your company is represented.
Priority Signals & Recommendations
What deserves action, investigation or continued observation, and why.
Monthly Analyst Review
A recurring working session to interpret findings, review supporting evidence and discuss next steps.
Monitoring tells you what changed. Optimization helps change it
AI Visibility Monitoring and AI Search Optimization use the same measurement foundation but solve different problems.
AI Visibility Monitoring
- Recurring measurement
- Competitor intelligence
- Source and citation monitoring
- Portrayal monitoring
- Analyst interpretation
- Recommendations
- Monthly review
Lexogrine owns the measurement and interpretation. Your organization or existing partners remain responsible for implementation.
AI Search Optimization
- Monitoring included
- Continuous strategy
- Prioritization
- Technical analysis
- Agreed implementation capacity
- Coordination with marketing and content teams
- Experimentation
- Validation
For organizations that want Lexogrine involved in the improvement loop itself.
AI Visibility Monitoring is included in every AI Search Optimization engagement.
Start Monitoring without a full AI Search Audit
You do not need to purchase a full Audit before starting Monitoring. We establish the monitoring baseline during onboarding.
That includes defining business scope, buyer journey, markets, languages, prompt cohort, competitors and relevant AI surfaces.
A full AI Search Audit becomes useful when the evidence reveals a problem that requires deeper diagnosis, technical investigation or a prioritized implementation roadmap.
Monitoring measures the environment. An Audit goes deeper into why a problem exists and what should change.
Month-to-month. No long-term commitment
Standalone AI Visibility Monitoring is offered on a month-to-month basis. There is no three-month minimum. Longer observation naturally creates a stronger historical perspective, but you should not need a long-term contract simply to determine whether ongoing AI visibility intelligence is useful to your organization.
Configured around your discovery environment
Pricing follows the scope.
Pricing is scoped according to the final prompt cohort, platforms, markets, languages, competitors, measurement depth and interpretation requirements.
Discuss AI Visibility MonitoringWe monitor a product we operate ourselves
LHM is Lexogrine's own professional esports broadcast platform. It competes across specialized B2B categories including CS2 HUDs, Valorant HUDs, League of Legends HUDs, observing overlays and HUD management software.
Because we operate the product ourselves, we can continuously observe the same kinds of changes Monitoring is designed to identify: visibility movement, competitor changes, platform divergence, source patterns, recommendation behavior and portrayal changes.
Our engineering clients describe analytical thinking, reliability, responsiveness and collaboration with their teams. These references help establish confidence in Lexogrine as a partner, not AI Visibility Monitoring case outcomes.
What clients say after we ship
These reviews describe our software engineering, design and development work. They demonstrate delivery experience, not measured AI Search visibility results.
It was obvious that Lexogrine wanted to create the best possible solution customized for us.
Read on ClutchLexogrine was even able to add features and improve the platform’s speed in a mere week!
Read on ClutchThey’ve stepped out of their way to deliver things out of their interest for the project.
Read on ClutchTheir turnaround times were fantastic.
Read on ClutchOne of the best agency experiences we have had bar none.
Read on ClutchLexogrine is an incredibly hardworking and dedicated group of individuals that I rarely see at development companies.
Read on ClutchTheir project management skills and problem-solving approach were impressive.
Read on ClutchThey knew exactly what we wanted and filled our needs perfectly.
Read on ClutchLexogrine is good. The team knows what they’re doing and they have a strong aesthetic.
Read on ClutchThey listen well and provide feedback to really fulfill the client's overall vision.
Read on Clutch
Selected review excerpts from software, design and development projects.
Keep AI-driven discovery visible to your team
AI Search is not a channel you can measure once and assume will remain unchanged. Platforms evolve. Competitors move. Sources change. The way your company is represented can shift even when your own website stays the same. Lexogrine gives your team a controlled way to monitor that environment, separate meaningful movement from normal variation and understand what deserves attention next.
Discuss AI Visibility MonitoringMeasure continuously. Interpret carefully. Act when the evidence justifies it.