Own reputation
What is said about the brand, products, services and spokespeople; in which context praise, doubts, complaints, recommendations or risks appear.
- Mentions and Conversations
- Themes and Perceptions
- Risks and Opportunities
SERVICES · SOCIAL INTELLIGENCE
We convert conversations, content and metrics from any social network into a recurring reading with context, opportunities and recommendations connected to the business.
Brand · Competitors · Trends · Territories
A selection of routes. The same knowledge base, criteria and people.
IN A SCREEN
Social Listening is a recurring service from Karmina that combines an ad hoc tool, existing technologies and platforms and human consulting to transform social noise into useful decisions.
WHAT THE SERVICE IS
Karmina makes social listening from the experience of a marketing and communication agency. Artificial intelligence does not replace this discipline: it allows us to build a custom layer that searches, classifies, compares and prepares signals with more continuity.
Then begins the part that gives value to service. We interpret the data, cross it with web, own networks, campaigns, product, prices or business and convert what happens outside the brand into opportunities, risks and actionable questions.
FOUR SCHOOL DIRECTIONS
We can activate a single direction or combine them. The important thing is that each block has a question, a taxonomy, some sources and an associated decision.
What is said about the brand, products, services and spokespeople; in which context praise, doubts, complaints, recommendations or risks appear.
How competitors move, what territories they occupy, what pieces trigger conversation, and what differences can become a brand decision.
What patterns win recurency in a category, a community or a market and what is just a punctual peak that still needs travel and contrast.
A product, a campaign, a topic, a location, an audience, a potential crisis or any limited question that needs a listen of its own.
START POINT
If you recognize yourself in more than one of these signals, the first step is not to add more technology. It is to build a shared reading of the problem.
The tools find volume, but do not explain what signals deserve attention, who should review them, or what they can activate.
A peak of volume or feeling is read isolated from the campaign, the web, the product, the price or a recent decision.
Competitors are observed sporadically and it is difficult to distinguish an anecdote from a sustained movement.
A popular content becomes too quickly a trend without contrasting recurrence, communities or trajectory.
The presentation describes what has happened, but does not connect the signal with an editorial, commercial, reputational or product opportunity.
A platform designed to cover many uses and customers is paid when the organization needs specific questions, sources and cadences.
COMPANY BRAIN · ADAPTED TO THE SERVICE
We build a specific Knowledge Foundation: what do we listen to, why, in what networks, with what taxonomy, what sources have authority and what decision can activate each signal.
Brand, competitors, trends or a specific territory with publics, markets, languages and associated decisions.
→Vocabulary, brands, products, topics, exclusions, examples, thresholds, sources, permissions and responsible persons.
→Search networks, existing platforms and own components that collect and order only what the customer needs.
→Validation, context, interpretation and hypothesis that separate volume, signal, risk, opportunity and what we do not yet know.
→Match with web, performance, content, product, prices, sales or other data to turn listening into action.
Technology contrasts. Knowledge is oriented. People decide.
BEFORE YOU CLOSE ABAST
We can review the challenge, starting point and priorities in a free video call. Putting order before writing the scope usually saves time and budget.
AGENT OR SERVICE
The agent is a capability. The service is an advisory relationship that uses this capacity and connects it with the rest of the company.
We build, test, document and deliver it for the organization to execute a defined listening mission with its own team.
Agent + Foundation + onboardingIt includes the agent, but also people from Karmina who interpret the data, connect them with the business and turn each cycle into opportunities and decisions.
Agent + consulting + recurring deliveriesOne or more defined directions of listening.
A recurring reading adapted to the customer’s decisions.
Initial basis of brands, themes, sources, rules and frequency.
Base maintained and revised with the learnings of each delivery.
Capture and classification of agreed social sources.
Social signals crossed with web, own networks, campaigns, product, prices or business.
Alerts, tokens, dataset or dashboard prepared for the team.
Interpreted report, opportunities, recommendations and delivery session.
Setup, testing, onboarding and capacity delivery.
Setup plus monthly, quarterly, semi-annual or annual consulting.
COST MODEL
Base agents and components already exist within Karmina. The initial work adapts them to the knowledge of the client; then, the recurring cost combines real technological use and consulting.
We define questions, networks, taxonomy, Cognitive Knowledge, criteria, agent, dashboard and tests. It is the investment that personalizes the system.
The consumption of tokens, APIs and data is calculated on the sources, volume and frequency of the client, not on a suite created to cover everyone.
Professional reading is paid: interpretation, match with other data, opportunities, recommendations, meeting and evolution of the system.
ABAST MODULAR
You don’t have to monitor everything. We define the directions, networks, metrics and frequency that can feed a real decision and grow the system only when it brings value.
We agree on what we want to understand and define brands, themes, markets, languages, communities, networks and periods.
We prepare the basis for the agent and the team to classify with the same language and know when to escalate a doubt.
We combine our own agents and components with the existing tools that really need to be used, without forcing the client to pay for an oversized suite.
We interpret changes, contrast hypotheses and connect signals with decisions of reputation, content, product or business.
Each submission updates queries, categories, sources, competitors and questions for the system to improve with the organization.
HOW WE WORK
The setup builds the base. Recurrence makes it possible to compare, interpret and learn. Each cycle preserves the trace between signal, reading and decision.
Scroll to follow the route →We agree on four possible directions: public, markets, languages, networks and decisions that we want to feed.
· brief listener outputWe order vocabulary, categories, competitors, topics, exclusions, examples, thresholds, permissions and managers.
Exit · knowledge baseWe adapt our agents and components, connect sources and define capture, classification, alerts and dashboard.
Exit · Ready SetWe review false positives, gaps, representativeness, privacy and category quality with expert people.
· Output Validated BaselineWe cross the social conversation with our own data and prepare conclusions, opportunities, risks and open questions.
Exit · consultative deliveryThe delivery meeting and the decisions made feed new queries, criteria and comparisons for the next cycle.
Exit · next cycleWHAT THE ORGANIZATION CAN RECEIVE
FORMATS
Not all organizations need to get to the same place. We define a phase that leaves a useful decision or asset for itself.
For brands, categories or competitors that need frequent operational reading and opportunities applicable to the calendar.
Delivery · every monthTo compare movements, campaigns, communities and trends with enough travel to separate noise and pattern.
Delivery · every quarterTo update reputation, benchmark, territories and hypotheses before a new marketing cycle or product.
Delivery · every six monthsTo build an in-depth reading of the market, review the system and guide priorities, risks and opportunities of the following year.
Delivery · every yearKarmina, the agency behind the Studio
Behind Karmina AI Studio there is an agency with track record, team, scale and applied experience in real organizations.
Karmina · AI Studio · Criterio · Dunder Mifflin · Utopiq · Smart Team
Ads Platforms
Partners
Barcelona
B CorpCertified companyIF YOU ALREADY HAVE MATERIAL
It can be a finished document, a few notes or an email with context. We will read it before proposing a conversation or a first step.

Technology helps us to listen more and more continuously. Value appears when the team understands the context, connects the signal with the business and turns it into an opportunity that the client may decide to take advantage of or not.
Success stories · From 2015
Public administration · LLM Strategy
Public infrastructure · Social Media OS + Agents

Nonprofits · Training + adoption AI

Consumo · Social Publisher

Editorial · Knowledge Guide

Public administration · Meeting Notes

Food and drinks · Benchmark Scout

Restoration · WhatsApp Desk

Beauty · Landing Builder

Food · Dashboard Builder

Retail and Fashion · Market Scout
Move horizontally to see more cases
The team


Jonan Basterra
AI Social Strategy Director

Laura Sabio
Agentic Social Media Lead

Alba Gómez
Social Listening Specialist

Agustina Córdoba
Content AI Specialist

Mar Berzal
AI Content Strategy Lead

Andrea Gallego
Community Intelligence Specialist

Lola Moreno
AI Social Publisher Specialist

Carolina Membrado
Social Listening & Trends SpecialistLet's talk about Social Listening
Tell us the brand, category, competitors, trend or territory you want to see. The first conversation serves to delimit the networks, the available data, the frequency and the type of useful delivery.
hello@karmina.aiFAQS · MARKETING AND CHANNELS
It is the ongoing process of collecting, classifying, and interpreting public conversations about brands, topics, competitors, and communities. It combines sources, tool, taxonomy, alerts, analysis and consulting.
A timely report describes a period; sustained listening maintains consultations, baselines, alerts, and learning. The tool retrieves data, but does not determine for itself what a change means.
The AI can classify themes and sentiment, summarize volumes, group narratives, and prepare alerts. Their categories need proof because languages, sarcasm, and context can produce errors.
It is measured with useful coverage, classification accuracy, detection time, informed decisions, evolution of topics and use of reports. The volume of mentions is not a result.
Mistakes are confusing feeling with reputation, ignoring source biases, presenting samples as if they were the market and automating alerts without threshold. We also collect data outside of the purpose.