AI Strategy Consulting
Decide first, buy tools later.
We work with the management team to find where AI actually moves money in your business model — and where it only burns budget.
Selected brands we support with visibility, demand and systems
Short answer
What AI Strategy Consulting gets you.
AI strategy consulting here means we take your business model apart, price every AI use case against contribution margin and effort, and hand you a ranked list with a business case. McKinsey State of AI (2025) found 88% of companies use AI in at least one function, but only 39% report any EBIT impact. The difference is use-case selection, not technology.
Approach
Four steps to a decision.
We work from the business model to a ranked portfolio. Every step ends with a number, not an opinion.
Understand the model
Where does margin come from, where do costs sit, where is the capacity limit?
Collect use cases
Every plausible AI case across sales, operations, service and product.
Calculate
Per case: build effort, running cost, effect on contribution margin.
Rank
Sequence, stop criteria and who decides.
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
AI Strategy Consulting in practice.
Documented projects with figure, period and the work behind them.
May to July 2026 · 3 months
+980 %
more organic conversions
Supply-chain SaaS
View caseJune to August 2026 · Stand 30. August
+130 %
more impressions
Industrial AI & predictive maintenance
View caseMay to July 2026 · 3 months
+447 %
more impressions
Grant consulting
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 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 moreLLM market research for enterprises
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.
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 AI Strategy Consulting.
How is this different from classic management consulting?
The analysis is the same: business model, margin, process cost. The difference comes after. A classic consultancy hands the paper to your team. We build the prioritised use cases ourselves if you want, which means we carry part of the delivery risk.
Why do so many AI projects fail?
The MIT study „The GenAI Divide“ (2025) found 95% of enterprise pilots produce no measurable return. Across more than 300 deployments the cause was almost always use-case selection and missing process integration, not model quality.
Which numbers do we need to start?
Revenue and contribution margin per product group or service, rough process costs in the affected areas, and a view on your capacity limit. Where numbers are missing we estimate together with ranges and mark the assumption visibly in the business case.
How long does the analysis take?
Two to three weeks to the decision paper, depending on the number of business areas and availability of interview partners. After that you decide whether we build, your team builds, or a use case does not get built at all.
What is a stop criterion and why is it in the plan?
A stop criterion is the number that ends a project when it is missed. Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027. Defining the exit up front costs you months instead of years.
Do you consult without doing the implementation?
Yes. The analysis is bookable on its own and you get the same decision paper. We will not build a strategy nobody owns, though — without a decision maker in the room we decline the engagement.
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.


