Content and mapping · Backed by Google for Startups
Keyword mapping that turns into a content plan.
Every term grouped by intent, with a target page, a priority and a date. The map leaves the document and enters the production queue in the App, with briefs, owners and deadlines attached.
We work in English, Portuguese and Spanish. Headquarters in Belo Horizonte, Brazil.

01Overview
Keyword mapping
Keyword mapping is the work of finding the words your buyers use to look for what you sell, grouping those words by intent, and deciding which page on your site answers each group. It is the step that turns search volume into a work plan with an owner and a date.
Most companies stop halfway. They export a thousand terms from a tool, save the spreadsheet and never open it again. A list without a page decision changes nothing, because the writers still do not know what to write and the approvers still do not know what they are approving.
Netlinks delivers the full map: topic clustering, intent classification, a target page for every cluster (existing or new), priority calculated by impact, and the content plan already inside your queue in the Netlinks App, with briefs and deadlines. It is the same method we ran on SEO for Méliuz, Globo.com, Rock Content and LWSA.
- 200+
- companies served since 2017
- 4
- search intents classified on every term
- 3
- languages we research and produce in
- 24h
- of live tracking in the App and on WhatsApp
02Definition
What keyword mapping actually is
Keyword mapping builds the demand map of your market: everything people type and ask when they have the problem your company solves, organized so that each group of terms has exactly one page responsible for answering it.
The output is not a volume spreadsheet. It is four decisions, made term by term:
- What intent sits behind it. People searching want to learn, to compare, to buy or to find a specific brand. The same phrase can shift intent by industry, and only the live results page confirms which one the engine recognizes.
- Which page answers. One page per cluster. Two pages chasing the same topic compete with each other and neither ranks well.
- What the effort and the return are. Volume, the real difficulty of that results page, the distance from your site to it, and what that visitor is worth to the business.
- When it ships. Priority terms become briefs with dates. The rest sits in a visible backlog, waiting its turn.
That set is what separates mapping from listing. Anyone can pull a list from a tool in ten minutes. The map requires a senior specialist reading the results page, your catalog and your sales cycle at the same time.
03Intent
The four intents, and what each one demands
Classifying intent is the step that prevents the most expensive mistake in search: pointing a commercial page at a learning question, or trying to sell on a page the engine wants to be a guide.
| Intent | What the person wants | Page type | What we measure |
|---|---|---|---|
| Informational | To understand a concept or solve a doubt | Guide, pillar, in-depth article with a table of contents and FAQ | Impressions, reading depth, citations in AI answers |
| Commercial investigation | To choose between options, see criteria and pricing | Comparison page, category page, criteria table | Qualified clicks and progression to the contact page |
| Transactional | To hire, buy or request a proposal now | Service page, product page, location page | Form submissions, conversations started, revenue |
| Branded | To find your company or a competitor | Homepage, about, case study, comparison page | Share of branded search and defense of your own name |
04Structure
From loose terms to clusters and silos
After intent, terms are grouped into clusters: sets that answer the same need with different words. Each cluster gets one main page, and the smaller variations become sections inside it or supporting pages linked to it.
Grouping does not come from synonyms, it comes from the results page. If the engine returns essentially the same URLs for two terms, they belong to the same cluster and compete for the same page. If it returns different results, they are different pages, however similar the words look.
A set of clusters on one theme forms a silo: a deep central page surrounded by supporting pages that link to it and to each other. That is the structure behind the internal pages of Leo's Marble & Granite in Massachusetts, where the site moved from 46 ranking keywords at diagnosis to 118 in September 2026, per DataForSEO estimates.
- One cluster, one main page, one owner
- Grouping validated by the live results page, not by synonyms
- Supporting pages linked to the main page with descriptive anchors
- Cannibalization identified and resolved before any new production starts

05Data
Where the data in the map comes from
No single tool sees your whole market. The map cross-references declared demand, observed demand and competitor demand.
DataForSEO
Volume, difficulty, seasonality and the live results page by country and language. It is the quantitative base of the map, pulled on demand.
Google Search Console
What your site already earns and where it sits on pages two and three. It is the cheapest source of opportunity: a term with impressions and no clicks is one revision away from a result.
Analytics and CRM
Which organic entries turn into conversations and which turn into revenue. Without that link, priority is just an opinion.
Competitors
Who occupies the space today: which pages bring them traffic, which topics they cover, and where there is a gap nobody answered properly.
Real questions asked to AI
The questions people put to ChatGPT, Gemini, Claude and Perplexity have no published volume. They enter the map as monitored prompts, tied to AI monitoring.
Your sales team
One hour with the people who talk to customers beats a lot of tooling. Repeated objections become comparison content, and recurring questions become marked-up FAQs.
06Cadence
How the map becomes a content plan in the App
A map only pays for itself when it reaches the people who write. This is the path from research to published page, in the rhythm of the first three months.
- Month 1
Research and clustering
Collection across sources, cleanup, intent classification, clustering, and a manual read of the results page for priority terms. The complete map is presented live to your team.
- Month 1
Fit against the current site
Every cluster gets a page: an existing one to rewrite, an existing one to adjust, or a new one to produce. Cannibalization to resolve surfaces here.
- Month 2
Prioritization by impact
Volume, difficulty, distance from your site and value per visitor, cross-referenced. What pays back fastest ships first, what pays back biggest runs in parallel.
- Month 2
A brief per page
Every brief carries the head term, variations, questions to answer, heading structure, required internal links and what the page has to prove. Writers do not improvise.
- Month 3
Production and approval
Content enters your queue in the App. You approve or request changes, the history stays on record, and publication happens with structured data already in place.
- Every month
Map review
New terms come in, terms that moved nothing come out, and anything that reached page two becomes a revision priority. The map is a living document, not a contract annex.
07GEO
Questions asked to AI belong in the same map
When someone asks ChatGPT or Perplexity which vendor to hire, nobody publishes the volume of that question. It exists anyway, and it moves contracts anyway.
That is why the Netlinks map carries an extra layer: a set of questions written the way a buyer would write them, grouped by intent and run against the models on a schedule. They show which brands appear in the answer today, how often yours is one of them, and which competitors are being recommended in your place.
Every question your site answers poorly becomes a brief. Every answer where a competitor stands alone becomes a priority. The full practice is in GEO, and the tracking lives in AI monitoring.

08Delivery
What you receive, and what you do with it
Keyword mapping delivers three things at once: a document for decisions, a database for work and a production queue with dates.
- The map itself, with term, volume, difficulty, intent, cluster, target page, priority and where your site stands today on that term.
- The architecture design, showing which pages exist, which are born, which merge and how internal links connect them.
- The editorial calendar, with brief, format, length and date, split between what Netlinks produces and what stays with your team.
- The briefs, one per page, ready for whoever writes, listing the questions the page must answer in a citable way.
- The queue in the App, where every piece moves from brief to published with your approval in between.
From there the map becomes routine: production follows the queue, measurement feeds back into the map, and next month's priority comes from what actually happened. If you want production at scale, see content marketing agency; for the full organic acquisition plan, see organic traffic agency.
09The deliverable
What you receive
Finished work, approved by you in the App and shipped. Not a report that only describes the problem.
The complete map
Every term with volume, difficulty, intent, cluster, target page and priority. Delivered in an open format and yours to keep.
Page architecture
The design of which pages are born, rewritten or merged, and how the silos link together internally.
Cannibalization report
Where two or more of your pages compete for the same term, with a decision on which one stays and what happens to the others.
Editorial calendar
Brief, format, length and date, split between what we produce and what stays in-house.
Ready-to-write briefs
One per page, with the head term, questions to answer, heading structure and required internal links.
Monitored AI prompts
The questions your buyers put to the models, tracked on a schedule with the brands that appear in each answer.
10How it works
From the audit to the page going live
The same path on every project, with an owner and a date on each step.
- 01
Diagnosis call
One meeting to understand the product, the margin, the sales cycle and the objections your team hears every day. No commitment.
- 02
Collection and cleanup
DataForSEO, Search Console, analytics and competitors cross-referenced. Irrelevant and duplicated terms leave before analysis.
- 03
Intent and clusters
Intent classification and clustering validated against the live results page, term by term on the priority set.
- 04
Fit and priority
Every cluster gets a target page and a place in the queue, calculated from estimated impact and real effort.
- 05
Plan and briefs
Editorial calendar and briefs delivered in a working session with the team that will execute.
- 06
Execution and review
The queue moves in the App, you approve each piece, and the map is reviewed every month against real data.
11Who leads
Who leads your project
The three of them own the process and manage the team on every account. No senior who shows up at kickoff and disappears: they sign off on the plan, review the work and talk to your team.

Digo Garcia
Founder and CAIO
Over 20 years in digital. Built and scaled Letras.mus.br, then worked at Méliuz and in the joint venture with Globo.com. Owns AI, technical SEO and engineering inside every project.
Letras.mus.br · Méliuz · Globo.com

André Mousinho
Chief SEO Officer
Comes from Rock Content, Tray/Locaweb and LWSA. Designs the keyword mapping, the content architecture and the GEO strategy that turns a brand into the answer.
Rock Content · Tray/Locaweb · LWSA

Gabriel Raposo
Chief Authority Officer
Comes from Ambev and Agibank. Owns link building, digital PR and the authority that holds up both rankings and citations inside AI answers.
Ambev · Agibank
And the team behind them: Nathália Barcala (cofounder and COO, governance), Roberto Murta (CTO), Marcelo Ligere (senior advisor, 30+ years, formerly Grupo Globo) and Alfred, the artificial intelligence that runs the day to day: delivery queue, reporting and 24/7 support on WhatsApp.
12Who it is for
Where this work pays off the most
Teams publishing without criteria
The blog ships weekly and traffic stays flat. The map usually shows that almost nothing published answers a question with real demand.
E-commerce with a large catalog
Thousands of products, overlapping categories and filters spawning duplicates. Mapping sets the architecture before any new content.
Companies entering a new market
A new product line, a new country or a new audience. The map sizes demand before the investment, in Portuguese, English or Spanish.
13Case studies
Results with a name, a number and a date
Real projects, with what was done and what changed. No generic charts and no promises of a position.
FAQ
Frequently asked questions
What is keyword mapping?
It is the work of collecting the terms your audience searches, classifying the intent behind each one, grouping them into clusters and assigning a target page to every group, with priority and dates. The result is an executable content plan, not a list of terms.
What is the difference between keyword research and keyword mapping?
Research gathers terms and volume. Mapping decides what to do with them: which intent each one carries, which page answers, what merges, what is created and in what order it ships. Research is an input to mapping.
How long does it take to receive the map?
Two to four weeks on most projects, counted from access to Search Console and analytics. Very large catalogs and three-language operations need longer at the clustering stage.
Which tools do you use?
DataForSEO for volume, difficulty and results pages by country, Google Search Console and your analytics for demand you already capture, and direct queries to the AI models for questions that have no published volume. A senior specialist does the cross-referencing; it is not an automated export.
Does keyword mapping work for e-commerce?
It does, and it usually pays back faster. In a store, the map sets category architecture, resolves filters that spawn duplicate pages and shows which product terms deserve a page of their own. SP Labor is an example of an e-commerce operation reorganized with that kind of technical work.
Does the map include questions asked to AI models?
It does. One layer of the map is a set of questions written the way a buyer would ask ChatGPT, Gemini, Claude or Perplexity, tracked on a schedule to see which brands appear in the answer. See GEO.
Who produces the content after the mapping?
Your call. Netlinks can take production entirely, split it with your team, or hand over the briefs to whoever already writes in-house. In every arrangement the queue and the approvals live in the App so everyone sees the same status.
How long until the content plan produces results?
Long-tail pages and revisions of content that already earns impressions usually move within 30 to 60 days. Head terms contested by large sites are quarterly work. The estimate per cluster comes with the map, with the math on the table.
Does the map work for other languages?
It does, and it is rebuilt per language, never translated. Volume, competition and phrasing change from country to country. We work in Portuguese, English and Spanish, with research done in the destination market, as covered in international SEO.
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