Open source · websites in AI search

K-SEO.

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.

Autonomous work, too

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

From a question to reasons for choosing
A person is looking for a solution“Which service fits this need?”
The AI assistantSearch · understand · compare
The businessOffer · differences · conditions

The sources that connect them

WebsiteDocumentsCatalogue
Working with K-SEO

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

Does the website explain what matters?

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.

Explain the value

Clarify audiences, differences, conditions and examples. Connect promises to information that genuinely helps an assessment.

Connect the information

Work on copy, structure, links and source accessibility. Connect pages, documentation and catalogues while respecting their different roles.

Understand what changes

Read available questions, responses and results. Use misunderstandings, new needs and business changes to shape the next useful intervention.

From context to practical work

A situation.
A useful difference.

These examples illustrate possible interventions. Actual work takes shape through sources, objectives and available tools.

The situation

A service is described, but hard to assess.

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

A better-informed choice

  • Who it helps
  • What is included
  • How to proceed

Service description → reasons to consider it

The situation

The information exists. The connections are missing.

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

A fuller understanding

  • Product page
  • Documentation
  • Available variants

Separate sources → information reachable together

The situation

The business evolves. Its pages can evolve too.

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

A coherent update

  • What changes
  • Where it appears
  • What to preserve

New offer → updated pages and reusable knowledge

An assignment that can continue

Delegate the work.
Develop the capability.

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.

01

A shared direction

Objectives, sources and the scope of actions entrusted to AI.

02

Initiative in the work

Changes and publication through the access provided.

03

Experience builds capability

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

Each experience can change the next intervention.

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.

  • Sources and reasons
  • Decisions and outcomes
  • Methods and competences

From download to useful work

A website, an objective.
A place to begin.

  1. Make the files available

    Download and extract K-SEO into a space the AI assistant can read, keeping the complete folder.

  2. Share the situation

    Provide the website, the business sources and what the work should make possible.

  3. Agree on the assignment

    Begin with BOOT.md and define the AI’s remit, access and decisions to share.

Release and SHA-256 checksum ↗

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 ↗