Core Web Vitals in plain English: what affects LCP, INP and CLS, what usually goes wrong, and the fixes that actually move each metric.
Read post →More and more people ask ChatGPT their questions instead of Google. If you're not there, you're not in the answer. ChatGPT SEO makes sure your brand shows up as a source.
ChatGPT points to sources in many answers. With the right preparation, the chance that your content gets named and linked increases.
When someone asks ChatGPT for a solution, it tends to pick well-known, clearly positioned brands. The goal is for yours to be one of them.
A defined prompt set checks how often and in what context ChatGPT names your brand — as the basis for optimization.
ChatGPT answers questions instead of showing ten blue links. Only those the model rates as relevant and trustworthy get named. ChatGPT SEO works to make sure your content is understood, cited and recommended – right where many users start their research today.
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Visibility in ChatGPT can be observed and put into context. For analysis and control I use tests directly on the model and established SEO tools.
A check of whether and how ChatGPT currently names your brand and topics — and who it recommends instead.
Content structured and phrased so a language model can understand, classify and cite it.
Unambiguous information about brand, products and people across the sources ChatGPT relies on.
Schema markup and presence on trustworthy sources, so statements about you stay consistent.
Recurring checks of your mentions across a fixed prompt set. That way you can track how it develops.
Capture how ChatGPT currently answers questions about your topics.
Turn content into citable answers.
Show up in answers to buying and comparison questions.
Structure content for humans and language models.
Describe brand, products and people unambiguously.
Track mentions across a fixed prompt set.
A defined prompt set captures how ChatGPT answers questions about your topics and which brands and sources it names in the process.
Where is your brand missing, where are competitors named, and which sources does ChatGPT rely on? That reveals the starting points.
Content, entities and sources are improved in a targeted way, so ChatGPT can classify and name your brand correctly.
The prompt set is queried again. This reveals whether and how the mentions have changed.
ChatGPT draws its answers from two sources: its training knowledge and, when search is enabled, from current web content.
To be visible here, you need both: known and consistent in the training knowledge, findable and current on the web.
During live search, ChatGPT points to specific sources. It cites pages that cover the topic clearly, completely and in a well-structured way.
Content is prepared so it works as a citable answer — with clear statements instead of vague descriptions.
Many users ask ChatGPT directly for a recommendation: the best tool, the right provider, the right solution.
For your brand to show up in such answers, positioning and evidence have to be clear and consistent across multiple sources.
Language models prefer content that answers a question directly. Clear structure, unambiguous definitions and clean markup help with that.
Existing content is reworked accordingly, and new topics are set up so they work for both humans and models.
A model can only name your brand if it knows what it stands for. Contradictory or missing information leads to omissions.
Through structured data and consistent details on trustworthy sources, brand, products and people are described unambiguously.
Visibility in ChatGPT is not a fixed value — it fluctuates depending on wording and timing. A single test says little.
A recurring prompt set observes the development. That makes it possible to judge whether actions work, instead of guessing.
Let's discuss your current setup and identify the low-hanging fruit.
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Core Web Vitals in plain English: what affects LCP, INP and CLS, what usually goes wrong, and the fixes that actually move each metric.
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