Semantic Health
Your brand remains visible and correctly interpreted by AI only when its language is consistent, up-to-date, and aligned with the dynamic logic of language models. We detect semantic deviations and make corrections before they impact your sales.
Why you need this
Key Challenges We Solve
Semantic drift and AI hallucinations
Language models gradually introduce their own simplifications, known as semantic drift. We monitor responses, detect discrepancies, and correct them before they harm your reputation.
Decreased effectiveness without content changes
Content understanding algorithms change several times a month. What worked yesterday may be ignored today. We adjust the language to the current AI logic, maintaining effectiveness.
Misinterpretations in Google SGE or ChatGPT
Large language models often 'fill in the gaps' in communication, leading to misleading responses. We supplement missing contexts and eliminate communication 'white spots' so that AI does not create its own versions.
Outdated entities in the Brand Knowledge Graph
Any change in the offering requires adjustments to semantic structures. Without this, AI relies on the old model of the company. We ensure that your brand's knowledge map is always consistent with reality.
Blurred multichannel communication
When different departments create content in various styles, AI loses the ability to classify the offering unambiguously. We restore a uniform, clear brand language for both people and AI models.
Narrative advantage of competitors
Lack of regular updates causes AI to start relying on competitor data. We strengthen your semantic signals so that your brand becomes the main reference point in the category.
What you get
Deliverables
Interpretation Audit
A detailed analysis of how key models (including SGE, ChatGPT, Gemini) present and categorize your company.
Semantic Drift
Active removal of incorrect associations and AI hallucinations by updating language structures on the site.
Entity and Knowledge Graph Management
Continuous updating of the brand's connection map, ensuring precise recognition of services and products by algorithms.
Zero-Click Results Monitoring
Tracking brand visibility in direct AI responses where users do not visit the site.
Contextual Optimisation (content gap)
Filling information gaps in content that may lead to misinterpretation of brand intentions by LLM.
AI Reputation Alerts
Notifications about the emergence of false or harmful information about the brand in AI environments.
How it works
Our Process
Initial Semantic Health Audit
A comprehensive scan of the current state of AI knowledge about your brand and identification of critical discrepancies.
Establishing LLM Visibility KPIs
We define key queries and contexts in which your brand must be a leader in recommendations.
Scans and Change Analysis
Regular examination of the dynamics of language model responses and detection of early signs of drift.
Metadata and Structure Correction
Implementing changes in code and content that restore compliance with the logic of large language models.
Reporting and Strategic Recommendations
Clear guidelines for marketing and PR departments on how to adapt new communication to GEO requirements.
Maintaining Semantic Continuity
Ensuring that every new product or service from the launch date is correctly understood by the AI ecosystem.
Why us
Benefits
Elimination of AI Hallucinations
Your brand is presented according to the facts, which directly protects the sales process and customer trust.
Higher Recommendation Frequency
Language models recommend your services more often when they see consistent and up-to-date data in their knowledge graph.
Resilience to Algorithm Changes
Continuous monitoring allows you to stay ahead of AI model updates and adapt to them before the competition.
Building Digital Authority (E-E-A-T)
We strengthen signals of expertise that are crucial for high positions in Google AI Overviews, among others.
For whom
Who benefits most
E-commerce and Retail
Ensuring that product data is perfectly organised for AI comparisons and recommendations.
B2B and Professional Services
Establishing authority and undeniable status as an 'expert' in LLM knowledge graphs.
Fintech, Medtech, and SaaS
Precise communication in regulated industries where the accuracy of information in AI is critical.
Innovation-oriented Brands
Essential for companies where technological advantage is a key element of market leadership.
Questions