LLM Market Research
What AI says about your market when nobody names the brand.
We measure the answer market of a category: which providers AI names for real buying questions, what those answers rest on and where competitors stand.
Selected brands we support with visibility, demand and systems
Short answer
What LLM market research for enterprises gets you.
LLM market research here means we build a corpus of real buying questions for your category, put it to ChatGPT, Gemini, Perplexity, Claude and Google, and analyse which providers get named and which sources carry those answers. In our own analysis of the German workwear market that was 500 questions across 32 intent clusters and more than 10,000 individual measurements over five systems.
Approach
Four steps to a market statement.
From corpus to analysis. Every step is documented and repeatable, because a one-off measurement proves nothing in this channel.
Build the corpus
Real buying questions from sales, service and the market, grouped into intent clusters, each in several phrasings.
Separate branded
Questions without a brand name are analysed separately. Putting your brand in the question measures nothing.
Measure five systems
ChatGPT, Gemini, Perplexity, Claude and Google. They answer differently and from different sources.
Repeat
A fixed benchmark sample runs unchanged in every round. Only comparison across rounds allows a statement.
Process
How working with us goes.
Four steps from the first call to ongoing delivery. The process is the same for every service.
- 01
First call
In 15 minutes we clarify your category, your goal and where you stand in Google and in AI answers today.
- 02
Analysis
Our platform runs real buying questions through ChatGPT, Gemini, Perplexity, Claude and Google and shows which providers get named and which evidence you are missing.
- 03
Plan
You receive a prioritised plan with sequence, effort and expected impact. Then you decide whether we work together.
- 04
Delivery
We implement, measure mentions, rankings and traffic every month and report in a shared Slack channel.
Results
LLM market research for enterprises in practice.
Documented projects with figure, period and the work behind them.
May to July 2026 · 3 months
+761 %
more impressions
Shopify & e-commerce
View caseApril to July 2026 · 4 months
+115 %
more impressions
Healthcare IT
View caseMay to July 2026 · 3 months
+191 %
more clicks
Dental practice
View caseScope
What we implement.
Result
What you receive.
Good fit
Who this service fits.
Not a fit
When another solution makes more sense.
More services
Which services work together here?
AI Strategy Consulting
We work with the management team to find where AI actually moves money in your business model — and where it only burns budget.
Learn moreAI Automation & Agents
We automate the recurring steps that eat your capacity — with AI agents wired into the systems you already run.
Learn moreConversion Optimisation
We find where visitors drop out and rebuild those steps. Measured, not decided by taste.
Learn moreWebsite and Software Development
Websites, stores and custom software. We built our own platform and the Shopify app SPHEN.AI ourselves.
Learn moreTestimonials
What our clients say.
Quotes from founders and managing directors we work with. Where a case exists, the number sits next to it.
“No fuckin way, Felix Ament is the GOAT. Within weeks, NICCOS was #1 on ChatGPT and Claude. Our organic inbound leads have exploded thanks to getSichtbar.”
+761 %
more impressions
May to July 2026 · 3 months
“In the first month, the first request came in with the line: 'ChatGPT recommended you to me.' That is exactly why we use getSichtbar.”
+980 %
more organic conversions
May to July 2026 · 3 months
Common questions about LLM market research for enterprises.
How is this different from classic market research?
Classic research surveys people and measures attitudes. We measure what AI systems answer when a buyer asks for providers. It is not a replacement but an additional channel — one where the shortlist now forms before anyone talks to sales.
How many questions does a solid measurement need?
It depends on category breadth. A narrow niche is often covered by 60 to 100 questions across eight to ten clusters. 500 questions pay off when range, personas and use scenarios diverge strongly. More questions are not automatically better, they only cost more measurement runs.
Why not just ask ChatGPT ten times?
Because a single phrasing can decide the outcome, and answers vary by system, model version, region and time. Only spread across many variants and repetition with the same sample turns observations into a statement.
Which systems do you measure?
ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. Analysis is per system, because answers and cited sources differ markedly — an overall average hides exactly those differences.
Do we get the raw data?
Yes. Prompt corpus, raw answers and analysis belong to you and stay usable if the engagement ends. The method documentation is included so the measurement can be repeated without us.
Is this the same as GEO?
No. This service measures and describes the market. GEO changes your position in it. Many clients start with the measurement because only then can they decide whether and where visibility work pays off.
Do you publish the results?
Only with written approval. Results show one company's position against named competitors; that belongs to the client. Without approval we publish the method and nothing else.
How fast is the first report?
Four to six weeks. Building the corpus takes longest, because it comes from real buying questions rather than a keyword tool. The measurement itself runs in days.
First call
Talk to us about your visibility.
15 minutes, straight from the calendar. Before the call we check which providers AI names in your category and bring the result.
What happens in the call
- We show which providers ChatGPT, Gemini, Perplexity and Google name for buying questions in your category.
- We show which sources support those answers and where competitors stand.
- We name the evidence your brand is missing today.
- You get the next step with the biggest effect. No obligation.


