Explain the value
Clarify audiences, differences, conditions and examples. Connect promises to information that genuinely helps an assessment.
Open source · websites in AI search
Making value clear.
When AI does the searching.
K-SEO helps an AI assistant understand a business and improve how it is presented. Pages, documents and catalogues become sources other AI systems can use to understand what it offers, who it helps and why it matters.
With a defined mandate and suitable tools, the assistant can follow the website, make changes and learn from outcomes. People set the direction and the decisions to share.
Available · 1.0.1 · Apache-2.0
The sources that connect them
Clarify the value of the offer, the information that supports it and the path to using it.
A relationship to develop. The choice depends on the question and the assistant’s assessment.
Understanding before making changes
An offer can be valuable while making that value hard to recognise. Together with AI, we can work on what makes it relevant, what information is missing and how to reach it.
Clarify audiences, differences, conditions and examples. Connect promises to information that genuinely helps an assessment.
Work on copy, structure, links and source accessibility. Connect pages, documentation and catalogues while respecting their different roles.
Read available questions, responses and results. Use misunderstandings, new needs and business changes to shape the next useful intervention.
From context to practical work
These examples illustrate possible interventions. Actual work takes shape through sources, objectives and available tools.
The situation
A page lists services. It is less clear who they help, what they include and when choosing one makes sense.
A possible contribution
The assistant can revisit the offer and its sources, rewrite the presentation and connect examples, conditions and contact details.
What becomes clearer
Service description → reasons to consider it
The situation
The website presents a product, a document explains its limits and a catalogue holds the variants. A search may reveal only one part.
A possible contribution
The assistant can reconstruct these relationships, clarify versions and contexts, and connect sources where they are useful.
What becomes clearer
Separate sources → information reachable together
The situation
Services, conditions or audiences change. Older descriptions remain online and may mislead an assessment.
A possible contribution
The assistant can identify affected surfaces, propose or apply authorised updates and preserve useful learning for the next intervention.
What becomes clearer
New offer → updated pages and reusable knowledge
An assignment that can continue
K-SEO can support an assistant that follows a business over time: observe changes, choose a useful intervention, carry it out within its mandate and use the outcome to improve subsequent work.
Objectives, sources and the scope of actions entrusted to AI.
Changes and publication through the access provided.
New methods, tools and competences when the work calls for them.
The AI environment provides tools, memory and scheduling for recurring activations. Work can begin with close collaboration and move towards greater delegation within the chosen setup.
What stays in the project
A correction can teach a better way to present a service. An encounter can reveal a missing source. K-SEO makes it possible to preserve this knowledge and develop new capabilities for use in different situations.
From download to useful work
Download and extract K-SEO into a space the AI assistant can read, keeping the complete folder.
Provide the website, the business sources and what the work should make possible.
Begin with BOOT.md and define the AI’s remit, access and decisions to share.
An example to adapt
Let’s begin with K-SEO’s BOOT.md and the linked competences. The website is [URL] and the objective is [desired outcome]. We can understand how the business is presented and improve what helps people and AI evaluate it. The AI’s remit includes [permitted actions]. Let’s preserve sources, reasons and what we learn in the project.
The assistant also needs access to the files linked from BOOT.md. Tools and integrations are organised within the chosen environment.
The delivered logic is open to reuse, modification and distribution under Apache-2.0, with attribution to Graziano Guiducci.
Logic, sources and attribution ↗ · The project on GitHub ↗