SEO Research Process at B2X Software

At B2X Software, SEO Research is approached as a systematic process that transforms raw market data into clear strategic inputs for content, design, and development teams. This ensures that SEO efforts are not isolated tasks, but part of a coherent, scalable growth model. In general, the SEO Research process consists of the following three stages:

1. Competitor Analysis

2. Semantic Analysis

3. Content Architecture

This stage helps identify who dominates your search landscape and why. During this phase, we analyze competitors’ keyword strategies, content quality, backlink profiles, site structure, and overall online authority to uncover strengths, weaknesses, and untapped opportunities.

These insights allow us to refine our own content and SEO strategy by focusing on areas where we can gain a competitive edge, close visibility gaps, and build a stronger search presence. This analysis also provides a clear benchmark of what high-performing and expected content looks like within a given industry.

Semantic analysis is the process of examining how people search for information, identifying meaningful patterns in their queries, and organizing those keywords into thematic clusters based on relevance and user intent. In general, the Semantic Analysis phase can be broken down into two stages: building a Semantic Core and Keyword Clustering.

Seed keywords are the initial, broad search terms that represent the core topics of a website, product, or business. They serve as the starting point for keyword research and semantic analysis, enabling SEO specialists to expand into more specific long-tail keywords, thematic clusters, and search intents.

Seed keywords are not necessarily the final keywords you optimize for – they are the “roots” from which the entire semantic core grows.

For example, for a project focused on immersive concerts in nature, seed keywords might include: “nature concert”, “cultural events in park”, “outdoor music”, “jazz open air”, and similar terms.

Seed keywords typically come directly from the client or from a high-level understanding of the product or service. The SEO specialist then expands this initial list using professional SEO tools to uncover related queries, long-tail variations, and complete user-intent patterns.

A Semantic Core is a structured list of all keywords, phrases, and search intents that are relevant to a specific website or a specific page. It represents how people search for information in Google and what topics the site must cover to match those searches. Think of it as the SEO blueprint for your content.

Semantic core typically includes primary, secondary and, sometimes, “long-tail” keywords grouped according to their relevance, hierarchy, geography, difficulty and search volume.

The definitions of the main terms are given below.

A primary keyword is the main search term that a page is designed to rank for. It represents the core topic of the page and reflects the most important user intent associated with that page. This keyword must appear in the H1, early in the page content, and naturally throughout the text.

Primary keywords help Content Writers:

• understand the main purpose of the page,

• determine the core angle and direction of the content,

• choose the right vocabulary, tone, and structure,

• avoid drifting away into unrelated topics,

• ensure the content is aligned with both SEO strategy and user expectations.

When writing, you should always start by identifying the primary keyword for the page. It anchors the entire content piece.

Secondary keywords are supporting search terms that expand, deepen, or refine the main topic represented by the primary keyword. They are closely related to the core subject but describe subtopics, attributes, variations, or specific user needs connected to the main theme.

They help provide full topical coverage and make the content richer, more relevant, and more aligned with how users actually search.

Secondary keywords help Content Writers:

• understand what else users expect to read about,

• structure the content more comprehensively,

• create natural subheadings (H2/H3) and thematic sections,

• avoid writing a shallow or incomplete page,

• increase the page’s chance of ranking for a wider set of search queries,

• support the primary keyword without drifting into unrelated topics.

Writers should use secondary keywords naturally throughout the text, especially in:

• subheadings,

• paragraphs explaining related topics,

• FAQs,

• product/service descriptions,

• examples and supporting details.

Long-tail phrases are longer, more specific search queries that usually contain 3–7 words. They describe very precise user needs, questions, or situations – unlike broad keywords.

Example (general):

• Broad keyword: “concerts”

• Long-tail phrase: “immersive concerts under the trees near me”

Long-tail phrases have lower search volume, but they show very strong intent – users searching for them know exactly what they want, making these keywords extremely valuable for high-quality content.

For Content Writers, long-tail phrases are important because they:

• help you expand the topic naturally,

• give ideas for subheadings, sections, and FAQ questions,

• make the content more specific, useful, and search-friendly,

• help the page rank for many variations of user queries,

• sound natural and human (they are often full sentences or realistic phrasing).

They also help Google understand the depth and context of the content.

Keyword Difficulty (KD) is a metric that shows how hard it is to rank on Google for a specific keyword. It estimates the level of competition – meaning how many strong websites already rank for that term and how much effort it would take to outrank them.

Keyword Difficulty is measured on a 0–100 scale, but the exact interpretation depends on the SEO tool. The higher the Keyword Difficulty, the more competitive the keyword is. Most SEO tools follow these approximate ranges:

• 0–20 → Very Low Difficulty. Easy to rank. New pages and smaller websites can compete.

• 21–40 → Low to Moderate Difficulty. Still accessible. Good targets for long-tail content and new pages.

• 41–60 → Medium Difficulty. More competitive. Requires strong content, proper structure, and good on-page optimization.

• 61–80 → High Difficulty. Difficult to rank. Requires high-quality content + a strong domain + backlinks.

• 81–100 → Very High / Extremely Competitive. Only the top authoritative websites rank. Significant SEO effort required.

Search Volume is the average number of times a specific keyword is searched in Google (or another search engine) per month. It shows how much interest or demand there is for that keyword.

High search volume → many people care about this topic.

Low search volume → niche or very specific searches.

Primary keywords tend to have higher search volume; long-tail keywords usually have lower volume but stronger intent.

“Country” indicates the geographic market for which the keyword data was collected – for example, Spain (ES), the United States (US), Germany (DE), or global data.

Search Intent – what the user actually wants when searching for the keyword (information, product, service, comparison, etc.).

Content Architecture defines how information is structured, organized, and distributed across the website pages based on the semantic strategy and user intent.

Defining which pages will exist, their hierarchical relationships (e.g., category -> subcategory -> detail), and what type of content each page will contain.

In other words, keyword mapping bridges the semantic core and the site architecture, outlining how information is distributed across pages, how users (and search engines) will navigate it, and where each piece of content fits within the overall website structure.

In simple terms, the content mapping defines the page structure and which keywords shall be used on each page.

The phase focuses on creating and optimizing website content and metadata to align with keyword clusters, user intent, and SEO best practices – ensuring every page is search-friendly, engaging, and structured for maximum visibility and conversions. Main deliverables - content specifications for the website pages and blog-posts.

The results of the SEO research are typically delivered as an Excel file structured into several sheets:

• Seed Keywords (the initial list provided by the client)

• Competitors (the list of competitors provided by the client and extended by B2X during the research)

• Semantic Core

• Content Mapping

Semantic Core and Content Mapping are the key deliverables of the entire SEO Кesearch process.