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 →Perplexity answers questions with source citations right in the answer. Get cited and you get visibility and clicks. Perplexity SEO gets your content into that source list.
Perplexity names its sources visibly with footnotes. Well-prepared content increases the chance of being named and linked there.
Citations in Perplexity are linked. A mention brings not only visibility, but also direct referral traffic to your page.
Perplexity retrieves content live. Only content PerplexityBot is allowed to crawl and can find quickly gets cited at all.
Perplexity is an answer engine: for every question it delivers a summarized answer with numbered sources. Perplexity cites whoever answers the topic in a current, verifiable and well-structured way. Perplexity SEO makes sure your content is retrievable and shows up in that source list.
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Visibility in Perplexity can be tested and tracked. For analysis and control I use tests on the model, server data and established SEO tools.
A check of which questions Perplexity cites you, your competitors or other sources for.
robots.txt and technical setup configured so PerplexityBot reaches your relevant content.
Clearly structured, verifiable answers that qualify as a reliable source.
Data, studies and traceable statements that mark your content as trustworthy.
Recurring checks of the mentions across a defined question set. That way you can track how it develops.
Capture how Perplexity answers and cites sources on your topics.
Give PerplexityBot access to relevant content.
Turn content into citable answers.
Make statements robust with data and sources.
Keep content current for time-critical questions.
Track mentions across a fixed question set.
A defined question set captures how Perplexity answers questions about your topics and which sources it cites in the process.
I make sure PerplexityBot can crawl and retrieve your relevant content and remove technical hurdles.
Content, evidence and structure are improved in a targeted way, so your pages qualify as a citable source.
The question set is checked again. This shows whether and how mentions have changed.
Unlike a classic chatbot, Perplexity researches live on the web for nearly every query and summarizes the results with source citations.
Visibility therefore depends directly on whether your content is retrievable, current and suitable as an answer.
What PerplexityBot can't reach can't be cited. An overly strict robots.txt or technical hurdles lock you out.
Access is checked and configured so relevant content is reachable for AI search — without giving up control over sensitive areas.
Perplexity prefers sources that answer a question directly and to the point. Long-winded content gets cited less often.
Content is prepared so the core statement is clearly recognizable and works well as a citable piece of evidence.
An answer engine prefers traceable, well-supported statements. Bare claims without substance do little to earn a citation.
Data, studies and concrete examples make your content a source Perplexity can rely on.
Because Perplexity researches live, freshness plays a bigger role than in classic search. Outdated content gets used less often.
Existing pages are maintained and updated with current data, so they stay relevant for time-critical questions.
A single query says little — the results fluctuate depending on wording and timing.
A recurring question set observes the development. That makes it possible to judge whether the actions work.
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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