Claude · LLM monitoring
Long-form answers mean tone and framing matter—not only whether Claude names you
Your buyers ask AI for vendor comparisons and read paragraph-long write-ups. Claude is known for analytical, expanded answers—share of voice is only half the story; context and sentiment matter. A Claude-only slice shows whether you disappear in that behavior path.
What a finished report looks like
The demo highlights Claude’s row: mention rate across scenarios and quotes pulled from its answers only.
Carapelli
Mentions by model (demo run)
Highlight: Claude — the focus of this landing page. Numbers are illustrative.
Competitors in this slice
Your real report uses the same layout: scores, per-model breakdown, quotes, competitors, and citations — with your brand and the models you select.
Benchmarking
Timestamped snapshot
Completion time is stored with every run—clean before/after comparisons when you change positioning or content.
Method
Organic-style prompts
Your brand name is not pasted into the question text; we score whether models still mention you in realistic category queries.
Context
Around Claude
Add sibling models in the same check to see if the pattern is specific to Claude or repeats across the stack.
About this model
Anthropic markets Claude for structured, lengthy responses—pro/con lists, cautious recommendations, and multi-step reasoning are the default tone.
Power users skew technical and B2B; Claude tends to be conservative in endorsements—if it still places your brand in a shortlist, treat it as a stronger signal than a casual chat mention.
How we measure visibility
Same organic scenarios as other models: no brand name in the question text; scoring uses the model’s actual answer.
- Run Claude next to ChatGPT, Gemini, Perplexity, and more
- Competitors and quotes even from long-form Claude answers
- Repeatable snapshots after site or PR updates
Inside the report
Snapshot header
Completion time and which models ran—your anchor for before/after benchmarking.
LLM-Score & share of voice
Aggregated 0–100 signal plus the share of models that mentioned your brand at least once.
Competitors & roundups
Who appears next to you in Claude answers: names, frequency, comparison or recommendation context.
Quotes & wording
Answer excerpts for manual review—how the model talks about the category and your brand.
Same prompts on other models
Parallel runs (Claude, Gemini, Perplexity, …) to see if the pattern is Claude-specific.
From check to PDF-ready snapshot
Brand & niche
You set brand context, site, category, language, and check type—this selects the prompt pack.
Model mix
Pick the LLM families to include; the same scenarios run in parallel across all of them.
Server run
The job executes on our side; you can close the tab and open the report from History when ready.
Report
LLM-Score, share of voice, competitors, quotes, citations—exportable and rerunnable on demand.
If ChatGPT and Claude diverge, review which sources and phrasing each model tends to reflect.