What is the investment and engagement structure?

Engagements range from €3,000 to €11,000 monthly, scaling to €20,000 for complex projects. Initial deployment operates on a performance model: 50% initiation fee and 50% locked to the delivery of guaranteed metrics. Following verification, partnerships typically transition to a standard retainer or revenue share structure.

Do you offer performance guarantees?

Yes. We pre-screen all target data through our internal sandbox simulation to verify viability. This validation allows us to lock the final 50% success fee to the delivery of your targets.

What is the deployment timeline?

Activation is immediate. Infrastructure deploys in 7 to 14 days. Authority systems live by day 21. Established sites register measurable impact within days. New properties typically require 90 to 150 days for significant traction depending on external exposure and sector complexity.

How do you handle conflicts of interest?

Strict exclusivity. We do not engage with your direct competitors.

What is the level of operational transparency?

Total visibility. Partners retain a live 24/7 view of all workflows. We operate on proactive reporting. Execution requires near-zero client time, with our team available for on-demand strategy and rapid response.

Do you take on special projects?

Yes. For example, we can generate noise to dilute search results for identity anonymization. Regarding special projects, please be in touch at hi@pivor.io.

Back to Capabilities

Generative Engine Optimization

Securing asset citation within AI discovery environments.

Case 03: Geospatial Intelligence Case 07: Medical Technology View All Impact Studies

Overview

Algorithmic intent targeting. We treat generative artificial intelligence not as a tool, but as a distinct customer profile with rigid consumption patterns. The objective is to secure primary attribution. By restructuring data architectures to match the processing logic of large language models we ensure your brand is explicitly cited as the verified answer within the generated narrative.

Approach

Alignment with machine retrieval patterns. Generative models prioritize information that is structured for immediate synthesis. We analyze the specific retrieval logic of target models and restructure your digital assets into high-fidelity data chains. This ensures that when an AI parses the industry it recognizes your domain as the most logical source of truth, integrating your brand name directly into the solution.

Methodology

Semantic data structures are deployed to map entity relationships explicitly for machine parsing. This on-page architecture is validated by technical authority signals preventing the model from discarding the data as unverified. This combination of structural clarity and domain weight forces the model to prioritize your content, embedding your brand identity into the core response.