Search Intent Analysis
We do not just collect terms. We classify them by intent so you know which keywords belong on service pages, category pages, product pages, location pages, comparison pages, blog content, and bottom-of-funnel landing pages.
Most keyword research is useless.
It gives you a giant export, inflated search terms, no page plan, and no clue what to build first.
Our keyword research services are built for founders, CEOs, and lean marketing teams that need clarity, not keyword chaos. We identify what your buyers actually search, group those terms by intent, map them to the right pages, and turn the output into an execution plan your team can use.
Keyword research should help you answer practical questions fast:
What pages should we build first?
What pages should we merge or rewrite?
Which keywords have buying intent?
Where are we missing demand entirely?
Where are competitors beating us because their page targeting is cleaner?
What should the content team create next?
What should the founder or CEO actually approve because it moves revenue?
If the output does not answer those questions, it is not good enough.
Diakachimba provides keyword research services for B2B, local, ecommerce, and SaaS companies that want stronger rankings, cleaner site architecture, better content prioritization, and a direct line between search demand and revenue.
That means the work is not just about collecting terms. It is about making page decisions, setting priorities, reducing cannibalization, and helping the business understand what deserves attention first.
We do not just collect terms. We classify them by intent so you know which keywords belong on service pages, category pages, product pages, location pages, comparison pages, blog content, and bottom-of-funnel landing pages.
We reverse engineer the sites already winning in your space.
We look at what they rank for, which pages pull traffic, where they are overexposed, and where they are weak.
We group semantically related terms into page-level clusters so one page can target a full topic set instead of a single phrase.
This helps reduce cannibalization, improve topical coverage, and create pages with a clearer role in the site structure.
We map each cluster to the right page type and the right stage of the funnel.
We identify high-value terms and topic clusters your competitors rank for that your site does not cover or does not cover properly.
This helps you prioritize pages that can unlock traffic, leads, demos, calls, or sales.
We review your current site so we do not recommend pages you already have unless they should be rebuilt, consolidated, or repositioned.
This matters because bad keyword research often creates duplicate page ideas and unnecessary content bloat.
We prioritize by business value, not just volume.
We look at what Google is actually rewarding for a term before recommending a page.
If the SERP is dominated by service pages, we do not force a blog post. If the SERP is mostly category pages, we do not pretend a thin landing page is enough. If the SERP is local, we treat it like local.
A proper keyword research engagement should leave you with a build plan, not a spreadsheet graveyard.
Keyword research should help a founder, CEO, SEO lead, writer, and developer make better decisions quickly. If it does not translate into action, it is not strategy.
The research should make the first page decisions obvious, not leave the team sorting through raw exports.
Useful research identifies overlap, weak pages, and structural cleanup opportunities before more content gets produced.
The work should separate curiosity-driven demand from revenue-driving terms.
Gap analysis should reveal where the business has no real coverage despite clear opportunity.
Competitive analysis should expose structural advantages, not just export ranking deltas.
The plan should clarify which page and content decisions move revenue and deserve executive attention.
The discipline is the same across B2B, local, ecommerce, and SaaS, but the priority system is not.
B2B keyword research is usually harder because search volume looks smaller than the commercial value. You are often targeting a niche buyer, a longer sales cycle, and service or solution terms that do not explode in keyword tools. That means the work has to focus on commercial depth, not vanity volume.
B2B keyword research also needs tighter alignment with sales language, qualification intent, and internal service positioning. A random blog-heavy strategy usually wastes time here.
Local keyword research is about service geography, map pack intent, city modifiers, and how people search when they want action.
Local keyword research also needs care around location-page sprawl. Not every city deserves a page. Not every variation deserves its own URL. Good research stops you from building junk local pages.
Ecommerce keyword research lives or dies on category logic, product demand, modifiers, and how well search behavior maps to collections and product types.
This is where weak keyword research causes bloated collections, filter messes, duplicate intent, and product pages targeting terms they can never win.
SaaS keyword research has to balance demand capture, education, and product fit. A lot of SaaS teams either go too broad with blog content or too narrow with product-led pages that nobody searches for.
SaaS keyword research also requires tighter SERP interpretation because many high-volume software terms are dominated by review sites, directories, and heavyweight publishers. Picking the right battles matters.
We start with the business model, offer structure, geography, margin drivers, and buying journey. That means understanding what you actually sell, who buys it, how deals happen, what pages should generate leads or revenue, and where the site is underperforming today.
We review your current pages, keyword footprint, topic coverage, and structural gaps. This helps us separate pages worth improving, pages worth consolidating, pages worth replacing, and pages that should never have been built in the first place.
We identify what is ranking, what page types dominate, how topics are grouped, and where the opportunities are. We are looking for page-type patterns, intent patterns, cluster opportunities, content gaps, weak competitors, and terms with commercial value but poor execution in the current SERP.
Once the data is clean, we group keywords into actionable topic sets and assign them to the right page type. This is where strategy starts becoming useful for execution.
We do not hand over 400 ideas and wish you luck. We separate priorities into immediate wins, near-term content and page opportunities, structural plays that need more support, and long-term topic expansion.
The exact output depends on your site and engagement model, but most projects include a version of the following.
A cleaned list of target keywords and variations that matter to your business.
Keywords grouped by topic, intent, and page fit.
A recommended structure showing which keyword clusters belong on which pages.
A list of pages worth creating based on business relevance and search opportunity.
Guidance on which pages to expand, merge, reposition, or leave alone.
A clear order of execution so your team knows what to tackle first.
Context on SERP patterns, page type, likely competition, and where a term sits in the funnel.
You need a clear view of where search can actually drive pipeline or revenue without paying for bloated SEO activity.
You want an SEO strategy that ties search demand to business priorities, not a keyword deck with no operational value.
You need a keyword system your content, SEO, and web team can actually execute without constant rework and internal confusion.
You have content already, but it is fragmented, cannibalized, or disconnected from conversion goals.
You need to understand demand before building pages, subfolders, local landing pages, or multilingual content.
Keyword research is not a detached deliverable in our world. It is the planning layer that informs what gets built, fixed, expanded, and prioritized.
This is for teams that can execute internally but need the strategy, page mapping, and priorities done properly.
This is the right fit if your internal team can write, build, and optimize once the roadmap is clear.
This is for brands that want us to do the work, not just point at the work.
Keyword research here becomes the operating layer behind execution across service pages, content, internal linking, technical updates, content refreshes, and expansion into new clusters and markets.
This is the right fit if you want strategy and implementation handled together.
This is for focused support when a team needs to solve a defined problem quickly.
This is the right fit if speed and focus matter more than a long ongoing program.
Big search volume is not the same as business value. A lower-volume commercial term often matters more than a broad informational keyword.
Many keyword lists are built in tools, not in Google. If you do not study the live SERP, you can recommend the wrong page type from the start.
Without clustering, teams create multiple pages for the same intent and wonder why nothing ranks cleanly.
A research file without page mapping creates chaos for writers, SEOs, and stakeholders.
B2B, local, ecommerce, and SaaS do not need the same keyword system. Copy-pasting the same process leads to weak output.
If the output cannot be used by the content team, SEO lead, founder, or developer, it is not strategy. It is paperwork.
Bad keyword research creates content inflation. More pages, more overlap, more cannibalization, more wasted time.
No giant dump of irrelevant keywords
No generic content calendar with zero commercial logic
No page recommendations that ignore your actual site structure
No pretending B2B, local, ecommerce, and SaaS all work the same way
Keyword research services identify the search terms, topic clusters, and page opportunities that matter most for your business, then organize them into a plan your team can execute.
The tool is not the strategy. The real work is in intent analysis, SERP interpretation, clustering, page mapping, prioritization, and understanding what actually fits your business model.
Yes, especially when resources are tight. Good keyword research helps small teams stop wasting time on the wrong pages and the wrong content.
Yes. Local keyword research requires different logic around geography, service-area terms, map pack intent, and location-page planning.
Yes. Ecommerce keyword research needs tight control over category logic, product intent, collection structure, and supporting content opportunities.
Yes. SaaS keyword research usually combines software category terms, feature terms, comparison pages, use case pages, and educational content.
Yes. B2B keyword research usually focuses more on commercial depth, service intent, industry relevance, and bottom-of-funnel opportunities than on raw volume.
No. We deliver structured research that can include clusters, page maps, priorities, and strategic notes so the output is usable.
It can be done on its own, but it works best when tied to on-page SEO, technical SEO, content strategy, and broader execution. Keyword research affects the rest of the SEO system.
If you need keyword research that turns into page decisions, content priorities, and growth opportunities, this is where to start. We help B2B, local, ecommerce, and SaaS brands build keyword strategies that are shaped by intent, mapped to the right pages, and designed to support real business growth.