Building SEO mechanisms

The kick-off and specifying the scope of the SEOAI project serve to establish the specific use cases, priorities and rules of cooperation, so that the mechanisms can be implemented and assessed safely. At this stage we specify the areas to be supported (e.g. content, on-page, internal linking) and which outputs are to go into the editorial and publishing process. The roles on the client’s side, the acceptance criteria and the risks that may affect the quality and repeatability of the results are established. In parallel, security and compliance rules are defined for sensitive data, citation/sources, copyright, brand tone and content that requires mandatory review.

It is also crucial at the kick-off to secure the foundations for further analytical and design work. Access and input data are essential for delivery, including traffic data and query data, information on indexing/crawl, the content and structure of the site, and access to the places of publication (e.g. content system, repositories). On the basis of these arrangements it is possible to move on to the inventory of data sources and the SEO audit for automation, which show what can realistically be automated and where manual work will be needed. As part of specifying the scope, the level of automation and approval is also discussed: whether materials go to an editorial queue, require expert approval, or can be published after automatic validations.

• Establishing the SEOAI use cases and priorities (e.g. content, on-page, internal linking)
• Defining the roles, acceptance criteria and project risks
• Security and compliance rules (sensitive data, sources/citation, copyright, brand tone, mandatory review)
• Required access and input data for analysis, assessment and later publication of the results
• A decision on the level of automation and the approval path (editorial queue, expert approval, validations)

An SEO audit for automation consists of identifying the areas of SEO work that can be organised and brought into the mechanisms for generation, recommendations and validation. The starting point is an inventory of data sources, that is, a list and quality assessment of materials such as pages, templates, metadata, product or service data, categories and the current linking. The results of SEO work to date are also verified, in order to assess the consistency and repeatability of the data the mechanisms are to work on. Such an audit does not replace implementation, but it provides the basis for deciding what can be automated in a controlled way.

During the audit, the issues identified include missing metadata, duplication, inconsistent headings, topical gaps, misaligned intents and internal linking problems. The conclusions from this stage are used to select the use cases and to define the boundaries between automation and manual work. Based on the audit’s observations it is also easier to establish which elements will need quality rules and validations, and where additional input data will be required. The result is a list of areas and task types that make sense to implement as SEOAI modules.

• Inventory and quality assessment of data sources (including pages, templates, metadata, categories, linking)
• Identifying elements suited to automation (gaps, duplication, inconsistencies, topical gaps, misaligned intents)
• Pointing out internal linking problems as input for designing link recommendations
• Input into decisions on the choice of use cases and the boundaries of automation vs. manual work

Designing SEO prompts and templates means building repeatable formats for tasks and results that will feed the chosen SEOAI mechanisms. The starting point is preparing the data model and input sets, that is, unifying the input formats, cleaning the data and preparing the fields required by the mechanisms. This allows the prompts to work consistently on elements such as URL, page type, offer, attributes, keywords and intents. As a result, every template has a clearly defined context, scope and response format.

This work produces templates for specific tasks, such as a brief, meta title/description, headings, FAQ or elements supporting internal linking, together with instructions and constraints. SEO rules and quality validations are added to the prompts; they check, among other things, intent match, the risk of keyword cannibalisation, consistency with the site architecture, duplication control and the required page elements. The design also takes into account metadata length limits and the requirements arising from the security and compliance rules, including brand tone and the scope of content requiring review. Prompts prepared in this way are the basis for later generating SEO materials in agreed formats and for quality tests on samples.

• Data model and preparation of input sets (unifying formats, cleaning data, fields required by the mechanisms)
• Templates and prompts for tasks (e.g. briefs, metadata, headings, FAQ), with instructions and an output format
• SEO rules and quality validations (intent match, duplication control, consistency with the architecture, length limits)
• Incorporating security and compliance rules in the content and in the review requirements