Does the brand enter the answer?
When AI builds a set of alternatives for a user, is the brand considered or left out?
Independent project · Demand Intelligence · AI Visibility · Research
Telescop: read demand before you invest.
I created Telescop around a simple question: if Search and AI systems are changing how people discover, compare and choose, how can we observe what is happening more clearly before making a decision?
1.5M+classified intents
4AI surfaces observed
6,000research observations
500queries in the frozen panel
01 · The starting point
The problem was not finding more data.
I have worked in digital since 2008. Tools, platforms and metrics have changed repeatedly, but one part of the job has remained the same: understanding what people want and where a company can create value.
For a long time we mainly looked at keywords, search volume, rankings, CPC, impressions, clicks and conversions. Those signals still matter. The limit appears when they are read in isolation and become the end of the analysis rather than its starting point.
A keyword with 10,000 searches is not automatically a better opportunity than one with 500. A rising trend does not necessarily mean it deserves investment. A competitor that is highly visible on Google may not be the brand most often considered by an AI system.
A search does not only tell us how much something is searched. It can reveal why it is searched, which alternatives are being considered and where interest is moving.
02 · From keyword to market
Every keyword opens a space of demand.
The first idea behind Telescop was to stop treating a keyword as an isolated data point and instead use it as an entry point into a market space.
Around the same search there are people exploring, comparing solutions, looking for a brand, evaluating alternatives or getting ready to choose. Connecting those signals moves us from a traditional keyword list toward a representation that is closer to the real decision process.
That is why Telescop evolved toward Demand Intelligence, Market & Opportunity Intelligence and Decision Intelligence: data becomes useful when it helps answer what should we do next.
03 · The shift
Then Search started to change.
Some people no longer use a search engine only to find pages to visit. They can ask an AI system directly which product to choose, which companies to consider or which solution fits a problem best.
Is it mentioned or recommended?
A simple mention and a competitive recommendation are very different signals.
Who is it compared with?
The competitors perceived by AI systems can differ from the ones we observe in traditional Search.
Which sources support it?
Citations help reveal the information ecosystems shaping how brands and markets are represented.
04 · AI Visibility
A mention is not the same as a recommendation.
Counting how often a brand appears is relatively easy. But not every appearance means the same thing. An AI can cite a company as an example, include it among many alternatives or present it as a particularly suitable solution for the user's question.
That is why Telescop separates presence, share of visibility, recommendation, citations, sources and competitive context. The goal is not to create another vanity metric, but to understand how strongly a brand actually enters the decision space built by AI systems.
PresenceWhere it appears
RecommendationWhen it is selected
Competitive SoVHow much space it captures
Source IntelligenceWhich sources support it
05 · Telescop Research
There is no single AI Visibility.
To test these differences beyond anecdotal observations, in 2026 we conducted AI Search Visibility in Italy: the same query panel observed across ChatGPT, Gemini, Google AI Overview and Google AI Mode over three separate runs.
The research shows that different surfaces can build different ecosystems of brands and sources. Measuring only one system, or compressing everything into a single number, can therefore hide an important part of the phenomenon.
Read the research, methodology and dataset500Italian queries
4AI surfaces
3independent runs
6,000observations
06 · From data to action
I do not want to build another dashboard to look at.
Every new problem tends to produce a new dashboard. And every dashboard produces more metrics. The direction I care about is different: observe demand, trends, competition, Search and AI, then turn them into a more useful reading for decisions.
Signal
Demand for this topic is increasing.
Gap
The brand is present in Search but rarely considered in AI answers.
Competition
A competitor is gaining ground on a specific surface.
Decision
These are the opportunities and actions to address first.
Data → Signals → Interpretation → Decision
07 · Why it exists
A project born from real work.
Telescop did not emerge separately from the work I do with Web Marketing Aziendale. Many of its ideas come from recurring questions I encountered while working with B2B companies, eCommerce businesses, services and SaaS products.
How much is this demand really worth?
Which content or page should we create first?
Where is there competitive space?
Is the brand considered even when the user does not search for it explicitly?
Is a trend important enough to justify investment?
Which competitors are emerging that we had not identified yet?
These questions normally require different tools, manual analysis and, above all, the ability to connect information from different sources. Telescop tries to turn that work into a reusable system.
08 · One map
Search and AI are not separate worlds.
I do not think AI Search suddenly makes everything we know about traditional search irrelevant. Keywords, intent, demand, content, authority, entities, brands and sources still matter.
What is changing is how this information is aggregated and returned to the user. On one side we have what people search for. On the other, what engines and models choose to present.
In between is the space I find most interesting: the way demand becomes consideration.
09 · Direction
Where I want to take Telescop.
I do not think its future value will depend on how many reports, charts or features we can add. I want it to help a company answer three questions well.
01
What is happening in my market?
02
What position does my brand actually occupy?
03
Where should I intervene first?
Everything else is technology, data and method required to reach those answers. In a context where Search, generative systems and human behavior change together, the ability to observe before deciding becomes even more important.
Explore the project
From a keyword to a map of the market.
Telescop connects demand, intent, competitors, sources and AI visibility to help identify where value is concentrated and what to do next.