AI search
a new entry point
McKinsey describes AI-powered search as a new front door to the internet.
McKinsey, "New front door to the internet", 2025Your brand visibility in AI responses
Your brand visible in
GeoFolks compares answers across leading AI environments, identifies the sources and competitors shaping them, and turns the findings into a prioritised action plan.
Free limited-sample benchmark. No card. Based on real responses, not simulations.
Explicit 12-component methodology
Real AI responses, not simulation
Your data never trains models
GDPR · data in EU
A customer's decision can begin — and end — in AI.
Buyers use AI for research, comparisons, shortlists, and risk evaluation before visiting a vendor website or contacting sales. If a brand is missing from the answer, it may never reach the next stage of consideration.
61%
of the B2B journey
In the 6sense study, first seller contact happened at this point in the journey on average.
6sense, Buyer Experience Report 2025 (n≈4000)13 + 9
people in a B2B decision
A typical decision involves 13 internal stakeholders and nine external influencers.
Forrester, State of Business Buying, 2026
Models choose differently
The same specific buying question gives four different vendor lists. You can see not only the presence of the brand, but also its position, arguments, and sources that influenced the answer.
Sample data
Sample customer question
„Looking for a CRM for a 25-person service company. I need Polish support, integration with Microsoft 365, and a budget of up to 700 PLN per month. Which three systems are worth comparing?”
ChatGPT
Brand presentFor a shortlist, I would include Livespace, Pipedrive, and Firmao. I would check Livespace first due to Polish support and alignment with B2B sales. Before choosing, I would confirm the cost of 25 accounts and the exact scope of integration with Microsoft 365.
Choose your path
Local company / services
One market, specific customer questions — start with Starter.
Path for companies
E-commerce / multiple offers
Hundreds of products and purchase intents — monitoring of offer lines.
E-commerce path
What we really measure
Visibility is only valuable when the brand is correctly understood, credible, and recommended in the right situations.
Brand presence
How often the brand appears in the responses.
Recommendation share
How often it is actually recommended, not just mentioned.
Citation Share
How often your pages are the source of answers.
Answer Accuracy
Does AI provide true facts about the brand.
Sentiment and Trust
How the brand is evaluated in the response content.
Intent Coverage
In how many types of customer questions the brand exists.
Competitive Positioning
Brand share against competitors.
Stability over Time
Is the result repeatable across measurements.
From measurement to proven improvement.
1
We Measure
We study real answers, sources, content, reputation, and technical availability.
2
We Explain
We link the result to specific evidence and causes.
3
We Set Priorities
We choose actions with the highest impact and best effect-to-effort ratio.
4
We Implement
We assign tasks to teams, instructions, and verification criteria.
5
We Confirm
We repeat measurements and show what has actually changed.
One place to understand the result and drive change.
Every recommendation explains the problem, shows the evidence, defines the impact, guides through implementation, and defines how to confirm the result.
Result
Evidence
Competitors
Recommendations
Tasks
Monitoring
Reports
30/60/90 Day Plan
role assignments
task integrations
verification criteria
actions carried over from previous cycles
evidence for each action
impact tracking
Sample data
- The brand appears during market recognition, but does not make it onto short purchase lists.
- A competitor wins recommendations due to external sources (rankings, comparisons).
- Price is incorrectly described by one of the AI platforms.
- One product group is completely invisible.
- Recommendations are unstable across models.
- Three actions have the highest potential for improvement.
Method under expert control
Authoritative scoring combines AI response measurements, source analysis, brand data, and technical audit. Every observation preserves information about the environment, model, version, and date, and exceptions go to expert review.
Data Processing Principles
Customer data is not used for model training
Data provided for research is not used for training GeoFolks models or external providers.
Controlled data flow
Each stage of data transmission has a defined purpose, scope, and recipient. We do not transfer information beyond what is necessary for service execution.
Verified providers
We use services and settings intended for business applications and verify their data processing conditions.
Encryption
Connections are secured during transmission, and data stored on the platform is subject to appropriate protection mechanisms.
Defined retention
Storage duration depends on the type of data and its purpose. Retention policies are described and verifiable.
Data Processing Agreement (DPA)
The DPA outlines the roles of the parties, the scope of processing, sub-processors, and data protection obligations.
Event logging
Important operations leave an audit trail showing who, when, and how data or configuration was changed.
Role-based access
A user receives only the permissions necessary for their role. Access can be controlled at the organizational and brand area levels.
Region-based processing
When allowed by the selected service and provider, processing can be directed to an agreed region.
Data minimization
We collect and process only the information necessary for measurement, account management, or legal obligations.
FAQ
SEO develops visibility in classic search results. GEO measures and develops brand presence in AI answers. Source sets can differ across platforms, search modes and measurement waves, so we analyse every environment separately. SEO remains an important foundation, but it does not describe the whole AI-assisted brand selection journey.
The 0–100 score is a weighted average of 12 components (K1-K12) across 5 areas: Commerce, Content, Reputation, Strategic and Technical — from intent and topic coverage, through third-party authority and citations, to technical accessibility for AI agents. The methodology is public and versioned; every prompt is tested 3–5 times and averaged, with confidence intervals.
The GeoFolks catalogue separates consumer apps, search experiences with AI answers and models called through an API. A report shows a result only for the environment actually used in that measurement, together with the model, provider and search mode. Purchasable scope includes only integrations that completed production verification.
Starter: up to 24 h, Professional: up to 48 h, Business: 3–5 business days, Enterprise: 7–14 days. Business and Enterprise reports additionally pass a mandatory analyst review before publication.
Yes. The prompt set is built automatically from our intent library for your industry and market, and you can replace up to 20% of prompts before the run. The set is then frozen so month-over-month results remain comparable.
By volume it is ~1% of traffic today, but it converts 5–9× better than organic (ChatGPT ~15.9% vs ~1.8%). AI users arrive with a ready shortlist. Citation authority also compounds over time — the later you start, the more catching up costs.
Yes, anytime — cancellation takes effect at the end of the paid period. Instead of cancelling you can also pause for 1–3 months, keeping your data history and result comparability.
Yes, automatically after every payment. We support domestic invoices, reverse charge for EU businesses with a valid VAT ID, and OSS settlement for EU consumers.
You provide the brand, domain and market you want to check. GeoFolks runs a limited sample of real AI questions and answers. The result shows a starting point but does not replace a full baseline assessment.
A domain, brand name, market, language and a basic offer description are enough to start. A competitor list and key products or services help tailor the question scope.
Yes. For the same questions we show which brands are mentioned, recommended and cited. The comparison therefore reflects a specific buying situation rather than general company popularity.
Generative models do not always return the same answer. We therefore record measurement conditions, repeat runs and separate a persistent pattern from an isolated result.
An audit shows the current state and priorities at a point in time. Monitoring repeats an agreed measurement set, detects changes and helps verify whether implemented work affected brand visibility.
No. The platform identifies the issue, evidence, priority and verification method. Your team or chosen contractor retains control of implementation, so nothing is published without review.
Yes. The agency view separates client organisations and projects, while the number of managed companies depends on the plan. Permissions help restrict access to the appropriate accounts and data.
No. GeoFolks measures visibility and provides evidence and an action plan, but business outcomes also depend on the offer, price, execution and market. The report never presents a forecast as a guarantee.
See your brand's starting point.
Free benchmark will show a limited, but real sample of visibility. No card or full account configuration required.