AEO
Get found by AI
Learn how ChatGPT, Perplexity and Google AI Overviews mention you as a fitting provider.

Guide
From producing content to building pipeline.
Overview
Content marketing works in B2B when your content supports a specific offering, responsibilities are clear, and the results land measurably in your CRM. In this guide, Mark Lotse, a HubSpot Platinum Partner based in Landau in der Pfalz and Bremen, Germany, shows how to align your content along those three points: from taking stock through topic clusters and an editorial plan to running it day to day in HubSpot. You will also learn what role AI plays along the way and how you become visible in ChatGPT, Perplexity and Google AI Overviews.
Know-how
Content marketing is the discipline of creating demand with helpful content and guiding buying decisions. In B2B that means answering the questions of your buying center early enough and completely enough that your company comes into consideration as soon as the topic turns urgent.
AEO
Get found by AI
Learn how ChatGPT, Perplexity and Google AI Overviews mention you as a fitting provider.
Diagnosis
The most common cause sits before production. In the study B2B Content and Marketing Trends: Insights for 2026 by Content Marketing Institute and MarketingProfs among 1,015 B2B marketers (fielded June to August 2025, mostly North America), 40 percent name creating content that prompts a desired action as their biggest challenge. Limited resources follow at 39 percent and measuring impact at 33 percent. Four patterns show up in B2B content programs again and again:
Which one fits when?
Prerequisites
Successful content programs share six traits. Check your situation against this list before you move into production.
Every topic supports a specific offering. Write down which question the content answers, which next step it triggers, and which result you expect after three, six, and twelve months.
In B2B several people decide, each with their own interests. The department asks about feasibility, management about economics, IT about security. Give every role its own content.
Search engines and answer engines favor content with visible experience and expertise. Show real projects, name authors with their role, and back statements with a source and a date.
Write headings as real customer questions and answer them completely in the first two sentences. That keeps the content readable for people and quotable for AI systems.
Plan distribution with the same effort as creation. LinkedIn, newsletters, and sales conversations bring your content to the people who need it.
Connect content, forms, and contacts in one system. You see which post starts conversations, and sales knows what a contact has been reading.
In the intro call we clarify which next step moves your content the most. 30 minutes, concrete, no obligation.
In four steps
Take stock Check what content you already have and what it delivers. Views, time on page, inquiries and rankings show you which pages carry, which you revise and which you merge.
→ Result: a rated list of all content with a decision per page
Goal and audience Define which offering the program supports, who decides in the buying center and which metric shows success. Phrase the goal so you can prove it twelve months from now.
→ Result: a target picture with a metric and a timeframe
Topic clusters Group your audience's questions into topics. Each group gets one thorough main page and several deeper posts that link to each other.
→ Result: a topic map with priorities
Editorial plan and operations Assign ownership, dates and formats. Plan distribution and maintenance at the same time, so your content keeps working after publication.
→ Result: an editorial plan for the next two quarters
Structure
A pillar page brings everything essential about one topic together on a single page. Around it sit posts that go deeper into single aspects and point back to the main page. Readers get a clear entry point, search engines and answer engines get a recognizable context.
The structure follows three rules. The pillar page answers the main question completely. Each supporting post answers exactly one sub-question. Every post links back to the pillar page, and the pillar page links to the posts.
You can see it in practice in our guide to the B2B website relaunch: one main page with a table of contents, plus posts on HubSpot compared with WordPress, on GDPR and on cookie banners, rounded off with the agency briefing for a B2B website relaunch (in German) to take away.
AI in practice
AI now works in almost every marketing team. According to the study by Content Marketing Institute and MarketingProfs among 1,015 B2B marketers (fielded June to August 2025, mostly North America), 95 percent of organizations use AI-powered applications, 89 percent of them for writing. So far the gain sits mainly in speed: 87 percent report higher productivity, while 39 percent see better performance of their content and 34 percent see no change at all. That gap decides whether AI takes you further.
Summarizing research, writing first drafts, adapting text for channels, generating metadata and alt text, analyzing large content inventories. Wherever volume and speed count, you gain time immediately.
The point of view on a topic, the choice of examples, the read on a market and the decision about which question matters at all. This work creates the difference readers notice.
Define who approves and how quality is measured. Check every figure and every quote at the source. Record which tools are allowed and which data they may see.
Pick one use case with a clear result, for example turning existing content into new channel formats. Measure the effect, then expand.
Visibility
Answer engines respond to questions directly in the results list. According to a SISTRIX analysis from February 2026, based on more than 100 million keywords in the German Google index, just over 20 percent of searches trigger an AI Overview, and around 30 percent of longer queries do. When such a summary appears, the click rate of the first organic result drops from over 27 to around 11 percent.
That shifts the goal. Next to the click, the mention counts: your company appears in the answer, even when nobody opens your page. Answer Engine Optimization aligns content to exactly that, and four levers work reliably:
Mark Lotse measures this on itself: 25 buyer questions run continuously in ChatGPT, Gemini and Perplexity and are evaluated in the HubSpot AEO tool.
A comparison
| One platform | Separate tools |
|---|---|
| Content, forms, and contacts sit in one set of data | Every tool keeps its own data, connections run through interfaces |
| The effect on pipeline is visible without extra work | Reporting comes from merging several sources |
| One login, one permission model, one training | Several logins, several permission models, several trainings |
| The feature set follows the vendor's roadmap | For each task you pick the best tool available |
| One contract, predictable costs | Costs grow with the number of tools and connections |
Both routes work. What decides is how much effort you want to spend on connections and reporting. If you already run sales in HubSpot, a lot speaks for keeping content there too.
Organisation
Four jobs keep a content program running. In small teams one person covers several of them, what matters is a clear assignment.
Common mistakes
The editorial plan fills up while goal and audience stay open. Clarify first which offering the program supports and which metric shows success, then topics follow naturally.
Technical depth convinces the department and leaves management outside. Give every role in the buying center its own content with its own question.
Reach appears in the report, the contribution to pipeline is missing. Connect content with the CRM and show which conversations come out of it.
New posts appear while old pages age and compete with each other. Put fixed dates for revision and merging into the plan.
The post goes live and waits for readers. Budget the same effort for distribution as for creation.
After three months the question about results arrives, although the build takes longer. Agree early which interim results count after three, six and twelve months.
Cost
Costs depend on how much you take on yourself and how deep the groundwork goes. Four factors set the price: the scope of the strategy, the number of formats, the publishing frequency and the technical condition of your website and CRM. Mark Lotse prices strategy and setup projects by scope, and ongoing support runs as a retainer starting at a mid four-figure euro amount per month.
Count on internal time as well. The subject matter expertise comes from your own company, so sales and engineering need reliable hours every month.
Measurement
Content marketing works over months, so measurement needs several levels. Track a few metrics on each level and keep them stable over time.
Agree upfront which level shows results when. That keeps the discussion about impact factual.
Rankings, mentions in AI answers, impressions. These values move first, usually after two to four months.
Time on page, returning visitors, clicks on related content. This shows whether the topics land.
Meetings booked, inquiries, newsletter signups. These numbers connect content and sales.
Influenced deals, win rate, time to close. This level justifies the budget and needs the connection between website and CRM.
Mark Lotse X You
First movement in visibility and interest shows after two to four months, and reliable effects on pipeline usually appear in B2B after six to twelve months. Mark Lotse agrees interim goals for three, six and twelve months at the start and measures them directly in the HubSpot CRM.
Two to four well-researched posts a month carry a program reliably, as long as they belong to one topic cluster and point to each other. Mark Lotse plans these clusters around a pillar page, as in its own guide to the B2B website relaunch, and defines which post answers which customer question.
A good fit connects topic strategy, production and CRM measurement, so content demonstrably contributes to pipeline. Mark Lotse is a HubSpot Platinum Partner, Content Hub certified and working with HubSpot since 2015, and supports B2B companies in Germany, Austria and Switzerland from topic strategy to day-to-day content operations.
AI speeds up research, first drafts and adapting content for individual channels, while point of view, choice of examples and approval stay with people. Mark Lotse defines with you who approves content, which tools are allowed and which data they may see.
AEO stands for Answer Engine Optimization and aligns content so it gets mentioned in answers from ChatGPT, Perplexity or Google AI Overviews. Mark Lotse continuously tests 25 buyer questions in ChatGPT, Gemini and Perplexity and measures its own mentions in the HubSpot AEO tool.
Read more
Go deeper into single aspects in our articles and service pages.
In the intro call we look at your content and name the two steps that move the most. 30 minutes, concrete, no obligation.
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