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AI Models|Claude

AI Visibility for Claude: How to Show Up

AI visibility and AEO for Claude. What we're seeing in how Anthropic's assistant recommends brands, when it searches the web, and how to show up in its answers.

Updated

Claude is Anthropic's AI assistant. It leans on what it already knows and searches the web when a question calls for it. In our tracking it searches on about half of its prompts and answers the rest from memory, so its training still shapes much of what it says about your market.

Centium tracks Claude on every plan, alongside six other models. What follows are trends from our tracking rather than rules, and we will update this page as they shift.

How Claude answers

A model's training data is a snapshot of the web up to a cutoff date, and the model reaches people months after that. When a question can be answered from that snapshot, Claude usually answers it directly. When a question depends on something local, recent, or specific that it is unsure of, it searches first.

When Claude searches, it turns the question into searches of its own, the same query fan-out we measure across every model, and reads the pages it finds. It rarely searches more than twice for one answer.

What we're seeing

It searches less than most. Claude answers about half of its prompts without searching. Most of the other models we track reach for the web more often, so more of what Claude says about a category comes from what it learned in training.

Local and fast-changing questions send it to the web. In our tracking it searched on nearly every question about local services, like a repair shop or a contractor in a named city, and on questions that change year to year. It rarely searched on evergreen questions, like the best ski towns for a long weekend.

Search is how newer and local brands get in. Brands Claude never named from memory showed up in about 1 in 5 answers once it could search. Brands it already knew held steady. For a business Claude's training missed, being easy to find is what puts it in the answer.

It rewards a long web history. When it answers from memory, Claude tends to name brands that were widely covered before its training cutoff. Newer brands and recent launches show up less there, even when they lead their category today.

It describes you the way the web did. How Claude talks about a brand tends to echo how that brand was described across many pages at once. A consistent story across sources gives it a clearer one to repeat.

Claude knowledge cutoff

Each Claude model is trained on data up to a cutoff date, and each newer model moves it forward. Anthropic publishes two figures. The reliable knowledge cutoff is the point through which the model's knowledge is most complete and dependable. The training data cutoff is the most recent date in its training set, and it is the date your Centium dashboard reports. Search covers some of what came after. Here is how the Sonnet line compares, including the model Centium tracks.

  1. Sonnet 3.5
    Reliable Knowledge
    Apr 2024
    Training Data
    Apr 2024
  2. Sonnet 3.7
    Reliable Knowledge
    Oct 2024
    Training Data
    Nov 2024
  3. Sonnet 4
    Reliable Knowledge
    Mar 2025
    Training Data
    Mar 2025
  4. Sonnet 4.5
    Reliable Knowledge
    Jan 2025
    Training Data
    Jul 2025
  5. Sonnet 4.6
    Reliable Knowledge
    Aug 2025
    Training Data
    Jan 2026
  6. Sonnet 5
    Reliable Knowledge
    Jan 2026
    Training Data
    Jan 2026
  7. Sonnet 5.5Now tracking
    Reliable Knowledge
    Jun 2026
    Training Data
    Jun 2026

How to show up in Claude

Claude works from two things: what it learned in training, and what it finds when it searches. Work on both.

  1. Be in the data models train on. Most models learn from Common Crawl, the open archive of the web. Check whether your site is in it with our free training data checker.
  2. Let Anthropic's crawlers in. ClaudeBot collects content for training, and Claude-SearchBot indexes pages for Claude's search. Check your robots.txt with our free AI crawler checker.
  3. Be easy to find for the questions it searches. Local and time-sensitive questions send Claude to the web. Current listings, up-to-date pages on your site, and recent coverage are what it finds there.
  4. Get covered where it will last. Expert reviews, category publications, and reference sites are the pages most likely to be in the next training set. A lasting write-up does more here than a short campaign.
  5. Say the same thing everywhere. State what you make, who it is for, and why it stands out the same way on your site, your listings, and your press. That consistency is what the next model learns.
  6. Measure over time. What Claude finds in search can move week to week, while what it learned moves when a new model arrives. Track your visibility so you see both.

Tracking your AI visibility in Claude

Claude is one of seven models Centium runs on every plan. Each report shows how often Claude names your brand, which competitors it names instead, where you land in its answers, how it describes you, and which sources it cites, next to the same numbers for every other model. Plans start at $99 a month.

Model Visibility
Recommendation rate by model, with change since last period.
Model Visibility from a sample Centium dashboard. Track it on Centium.
Included on every plan

see where you stand
in claude.

Centium measures Claude alongside ChatGPT, Gemini, Perplexity, Grok, Google AI Mode, and Meta Muse, with no setup and no added cost.

FAQ

questions, answered.

Anthropic's AI assistant. People use it for research, writing, analysis, and coding, and it answers questions about products, places, and companies from what it learned in training, searching the web when a question needs more. It launched in March 2023.

From two places: what it learned in training, a snapshot of the web up to its training cutoff, and live web search. In our tracking it searches on about half of its prompts and answers the rest from memory, searching most for local services and fast-changing topics.

It depends on the model. Claude Sonnet 5.5, the model Centium tracks, has a reliable knowledge cutoff of June 2026, and each newer model moves that date forward. Search covers some of what came after. The timeline on this page shows the cutoff for each Sonnet model.

Not the way you rank on Google. Ask Claude the same question twice and the list can change, so no single answer is a ranking. What you can measure is how often it names you across many prompts, which brands it names instead, and where you tend to land in its answers.

Centium measures your AI visibility in Claude for you. Every plan runs 120 category prompts through all seven models, Claude included, then reports how often Claude names your brand, which competitors it names instead, where you land in the answer, how it describes you, and which sources it cites. Plans start at $99 a month with every model included.

Not if you want Claude to know your brand. ClaudeBot collects content for training future models, so blocking it keeps your new pages out of what the next model learns. Claude-SearchBot indexes pages for Claude's search, and Claude-User fetches pages when a person asks. Check which ones your site allows with our free AI crawler checker.

Answer Engine Optimization, also called Generative Engine Optimization or GEO, is the work of getting Claude to name your brand when someone asks about your category rather than about you. For Claude that means two things: shaping what the web says about you before its next training cutoff, and being easy to find when it searches today.