B2B research increasingly begins in AI systems. AI visibility has therefore become a metric in its own right, one that conventional tools do not capture.
A growing share of B2B research runs through AI systems that answer questions directly, instead of pointing to a list of blue links.
Whoever appears as a source in these answers does not notice it on their own: it only becomes visible once someone measures it systematically.
Without measurement, every optimization stays a gut feeling, because the effect of individual actions cannot be proven.
Why visibility is shifting into AI systems, and what that means for discoverability, is set out on the pillar page: What Generative Engine Optimization fundamentally means.
How does AI visibility measurement differ from classic SEO reporting?
SEO reporting measures rankings, clicks and traffic in search engines. AI visibility measurement captures something different: whether and how a brand appears as a source in the answers of AI systems. Classic SEO reporting counts positions in a results list. AI visibility measurement counts mentions in generated answers. There, the result appears as summarized text, not as a list of links, and often no click follows. The two complement each other but measure different spaces.
Peec AI is software for measuring the visibility of companies, products and brands in AI answer engines such as ChatGPT, Microsoft Copilot, Google AI Overviews, Gemini and Claude. It captures how often and in what context a brand is mentioned in generated answers, and compares it with competitors. This creates the data basis for identifying thematic gaps in AI representation. andweekly uses Peec AI as a measurement instrument within Visibility Engineering to capture clients' AI visibility with data and turn it into action.
What Peec AI does can be summarized in three functions: prompt tracking across several AI systems, citation monitoring and competitive comparison. What the tool is not matters just as much. Peec AI is not a content tool, not an SEO tool and not a CRM. It does not write content and does not replace search engine analysis. Interpreting the data, for instance deriving thematic gaps, is not the tool's job but part of our analysis. This clear distinction builds trust: we describe Peec AI as what it is for us, a measurement instrument. The full feature set and all commercial topics are covered on the official Peec AI website.
The value lies not in the tool but in how it is embedded. andweekly · Peec AI · AI visibility belong together for us: Peec AI is the instrument with which we make AI visibility measurable within Visibility Engineering. This is not a separately bookable package and not an implementation service. It is a fixed step in our methodology. Whoever engages andweekly for Visibility Engineering receives this measurement as part of the discipline.
We develop a client-specific prompt set from the perspective of our client's target audience. It maps the relevant search intents of the B2B buyer journey. Not generic industry prompts, but questions drawn from actual search behavior and from sales conversations.
We define the relevant competitive field in AI answers. Here we distinguish between a client's real competitors and the visibility competitors that appear in AI answers without being direct rivals in the market. It becomes visible who is mentioned, who is missing and which categories dominate the answers.
From the data we derive concrete recommendations: which thematic gaps exist, which content is missing, which author and company profiles need to gain authority and which topic fields to occupy.
The findings flow directly into operational work: content production and content engineering, AI search optimization, off-page activities and authority building. Peec AI remains the ongoing measurement instrument for proof of impact.
This is how a measurement becomes method. andweekly · Peec AI · AI visibility, in this embedding, produce the proof of impact that Visibility Engineering needs.
How does andweekly use the Peec AI data in practice?
For us the data is not a report to file away but a working basis. From it we read which topics a client appears for in AI answers, where competitors are more present and which questions remain unanswered. This produces a priority list for content and authority building. In the next measurement it becomes visible whether the actions are working. That closes the loop of measurement, action and proof of impact.
Peec AI makes it measurable how visible a B2B brand is in AI answer engines. andweekly uses the tool as a measurement instrument within Visibility Engineering and derives concrete actions from the data. That turns AI visibility from a gut feeling into a steerable metric. andweekly · Peec AI · AI visibility: measured and translated into action.
Sven Montanus