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 →Gemini doesn't just live in its app, it also powers the AI Overviews in Google Search. Get named there and you reach users right in the answer box. That's exactly what Gemini SEO works toward.
The AI answers at the top of Google search are generated by Gemini. A mention there brings visibility even before the first organic result.
Gemini relies on Google's knowledge base. Clearly defined entities increase the chance of being recognized and named correctly.
Google evaluates experience, expertise and authority. These signals help decide who Gemini treats as a reliable source.
Gemini is tightly intertwined with Google. Its answers rely on the Google index, the Knowledge Graph and established trust signals. Here, classic SEO and AI visibility go hand in hand. Gemini SEO makes sure Google knows your brand, understands it and names it in its answers.
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Visibility in Gemini can be tested and backed with Google data. For analysis and control I use tests on the model and established SEO tools.
A check of which searches Gemini and the AI Overviews name you or your competitors for.
Establish brand, people and products as unambiguous entities Google can reliably assign.
Make experience, expertise, authority and trustworthiness visible in a targeted way.
Content that serves the search intent directly and completely — the basis for a mention.
Schema markup that gives Google the context for content, people and products.
Capture how Gemini and the AI Overviews answer.
Show up in the AI answers of Google search.
Anchor brand and products unambiguously in Google's knowledge base.
Strengthen experience, expertise and trust signals.
Sharpen content for users and AI.
Track mentions across a fixed question set.
A defined question set captures how Gemini and the AI Overviews answer questions about your topics and who they name.
Index, entities and technical basis are checked. Without solid Google visibility there's no mention in Gemini either.
Content, entities and trust signals are strengthened in a targeted way, so Google can understand your brand clearly.
Mentions in Gemini and the AI Overviews are checked again and compared with your organic visibility.
Gemini doesn't generate its answers in a vacuum. It relies on the Google index, the Knowledge Graph and the trust signals Google evaluates anyway.
That's why good classic visibility is the basis — and the first lever for being considered for a mention at all.
The AI Overviews still sit above the classic results for many searches. They cite sources that answer the topic clearly and back it up.
Content is prepared so it works as a building block of such an answer — precise, structured and focused on the question.
Google can only name your brand if it knows it as an entity. Contradictory or missing details lead to confusion or omissions.
Through consistent information and structured data, brand, people and products are anchored unambiguously in the Knowledge Graph.
Experience, expertise, authority and trustworthiness aren't marketing buzzwords, they're measurable signals for Google.
Author profiles, evidence and external mentions are built so your content is recognized as a reliable source.
For AI answers, what counts is how directly a piece of content answers the question. Clear structure, unambiguous statements and clean markup help with that.
Existing content is reworked accordingly, and new topics are set up so they work for both users and the AI.
Mentions in Gemini and the AI Overviews fluctuate depending on wording and timing. A single test says little.
A recurring question set tracks the development and ties it to your organic visibility.
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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