AI & SEO automation
AI content generation
Together with you, I put the brief for AI-generated content in order: the topic, the audience, the goal of the page or text, the tone of communication, legal constraints, and the number and types of materials. On that basis I establish the format and the required level of editing and verification, gather the input materials, and create the outline and prompts in line with the guidelines and SEO elements.
About the service
Brief and input materials for AI content generation, with SEO requirements and verification
About the AI content generation service
A few service details- Agreeing the brief and scope
- Choosing the format and content type
- Gathering input materials
- Defining prohibited claims
- Outline and prompt design
- Levels of editing and verification
Work process
How we work together on creating and optimising SEO content with AI
I start by agreeing the brief and gathering the input materials, to give the content its context and constraints. I then analyse the intent and the SERP, and plan the structure and the generation instructions. I work iteratively: AI draft, editing, verification and on-page.
- 01/ 03
Brief and materials
I agree the topic, audience, goal, format, scope, and level of editing and verification, and collect the brand guidelines, the offer, vocabulary, style examples, product information, prohibitions and company sources.
- 02/ 03
Analysis and plan
Based on the brief, I analyse the intent and the SERP, create the content plan, design the structure (outline) and prepare consistent prompts covering tone, length, format, required sources, prohibitions, quality criteria and SEO elements.
- 03/ 03
Generation and iterations
I generate the AI draft, then carry out language editing and, where needed, substantive verification of facts and claims, add the required disclaimers and optimise the content on-page as agreed.
Agreeing the brief and its role in the AI content generation process
Agreeing the brief gives structure to the whole AI content generation process and defines exactly what is to be produced and on what terms. At this stage, information is collected about the topics, the target audience, the goal of the page or text, the tone of communication and the legal constraints. The brief also covers the scope of work, i.e. the number and types of content to be prepared. In addition, the decisions that affect further production are agreed: the content type and format, and the level of editing and verification.
In practice, the brief is the point of reference for the subsequent stages, such as intent analysis and SERP analysis, and the content plan. The choice of format (e.g. article, landing page, category/product description, FAQ, guide) determines the structure, the CTA and the SEO scope, which is why it has to be defined at the outset. In parallel, the level of editing and verification is set — whether language editing is enough or whether full substantive verification and sources are needed — which affects time and cost. The brief also requires the constraints to be defined, including prohibited claims and rules of caution, in order to limit the risks specific to AI content.
Agreeing the brief requires consistent input materials, because they are what give the content its context and communication boundaries. If the topic calls for specialist information, access to knowledge and experts, or source materials, is necessary; without it, the content remains more general. At the same time, the risks of AI content have to be taken into account, such as hallucinations, generalisations and imprecise advice, especially in regulated topics. That is why the brief indicates straight away how strict the later verification of facts and claims is to be, and where disclaimers will be required.
Input materials as the key to effective generation
Input materials are key, because they give AI content the specific context, vocabulary and constraints that have to be respected. As part of our cooperation, the materials are supplied or agreed, and include, among other things, brand guidelines, the offer/USP, industry vocabulary, style examples and product information. Prohibited claims and company sources are an important element too: they set the boundaries of communication and help avoid risky wording. It is on this basis that the outline and precise generation instructions can later be prepared.
The completeness and quality of the input materials affect how much work the substantive editing and the verification of facts and claims require. Where specialist data or consultation is missing, the content may be more general, which is directly linked to access to knowledge and experts. Input materials also make it easier to keep control over promises, figures and advice, which in AI content can be imprecise or unfounded. For this reason, the process places emphasis on checking risky statements afterwards and eliminating hallucinations, in line with the agreed level of verification.
In practice, the input materials are used to design the structure of the content and to develop the prompts that steer the generation of the AI draft. The prompt covers, among other things, the role, tone, target length, format, prohibitions, required sources, quality criteria and SEO elements, so it has to be consistent with the guidelines supplied. This makes it easier to prepare content that matches the brief and then to put it through editing, verification and on-page optimisation. If the input materials contain clearly defined constraints and sources, adding the required disclaimers and checking compliance with the communication rules also becomes simpler.
- Brand guidelines
- Offer/USP
- Industry vocabulary
- Style examples
- Product information
- Prohibited claims
- Company sources
Intent and SERP analysis as the foundation of the content strategy
Intent and SERP analysis is the foundation of the content strategy, because it shows what type of answer and format users expect in the search results. At this stage, the dominant intent behind the queries is checked, along with the content types that actually appear in the SERP. In parallel, the expected structure of the material is defined, including the sections and any FAQ, so that the content is consistent with what is considered relevant in the given search context. The analysis also involves identifying the differentiating points worth taking into account when planning the content.
The conclusions from the SERP translate into decisions about the layout of the content before the AI draft is even generated. This makes it easier to design a logical order of sections and to indicate the elements that should be included in the outline so that they match the intent of the query. Intent analysis complements the later keyword analysis, because it helps assign keywords to the right content type and page goal. This limits the risk of creating material that is linguistically correct but misses what the user expects and the format of the search results.
The role of keyword analysis in content planning
Keyword analysis is crucial in content planning, because it makes it possible to choose the keywords that will form the basis of the topic and the structure of the material. As part of this analysis, the main and supporting keywords, semantic variants and user questions related to the subject are selected. The keywords are then mapped to pages or articles, which brings order to the scope and limits randomness in the choice of topics. This selection is the input to the content plan stage, where each piece of content has an assigned goal and priority.
The result of the work at the planning level is a structured content plan and keyword map, which set the direction for producing further materials. The list of topics and pages includes the assigned keywords, intent, format and priority, which makes it easier to plan what gets created first. Keyword analysis is also linked to intent and SERP analysis, because the choice of keywords should take into account the dominant intent and the expected content type. On this basis it is possible to prepare an outline with headings and sections matched to users’ queries and questions.
The process of creating a content plan and its impact on efficiency
A content plan makes the work more efficient, because it organises the production of materials and defines what gets created, in what order and in what format. At this stage, the list of topics, the priorities and the content formats (e.g. article, landing page, description) are established, and then keywords and a goal are assigned to each item. As a result, editorial and SEO decisions are made earlier, rather than only at the writing stage. The content plan is also the basis for further work on the structure and on generating the AI draft.
The shape of the content plan is influenced by the analysis of existing content, because it makes it possible to assess the client’s materials for currency, duplication, consistency of tone and topic gaps. In practice, the plan may allow for updating a piece of material instead of creating it from scratch, if the content assessment justifies it. The content plan is also a direct deliverable that can be used in subsequent production iterations. The outcome of this stage is the “Content plan and keyword map”, with a list of topics and pages along with the assigned intent, format and priority.
Structure design: how to prepare an effective outline
An effective outline is prepared by designing the headings and the order of sections so that the content is complete and ready for controlled generation. As part of the structure design, the mandatory elements are defined, such as operational definitions, instructions or an FAQ, if they are needed for the given material. In addition, the places where internal linking makes sense are indicated, with the user and the site structure in mind. This draft is built on the content plan and adapted to the chosen content type and format.
The outline is also a practical input for developing the prompts, because it specifies the scope of the sections, the required elements and the expected layout of the material. As a result, generation of the AI draft can rely on unambiguous structural guidelines rather than on general assumptions. A well-prepared structure design makes later on-page optimisation easier, because it organises the headings, paragraphs and elements that improve readability. It also makes it easier to check the completeness of the content at the QA stage, when compliance with the brief, the formatting and the presence of all sections are verified.
- Headings and section order matched to the content format
- Mandatory elements: operational definitions, instructions, FAQ (if required)
- Places for internal linking where it makes sense for the user and the site structure
Testimonials
What clients and the industry say
Feedback from clients and industry people I have worked with on SEO projects.
I had the chance to work with Kuba at Kulturalnie o SEO, an event I organise. Kuba did a great job as a speaker and received high marks from the audience. He showed professionalism and broad knowledge. In other projects at Vestigio, Kuba shows enormous commitment, a willingness to explore and implement new ideas, and excellent organisation of his work.
01 / 08
You talk to me, not a salesperson
Tell me what you want to achieve. I’ll reply personally
I work as a freelancer: the same person reads your message, prepares the quote and then runs the project. No sales team in between.