Claude is quietly becoming the LLM of choice for professionals who care about accuracy.
While ChatGPT dominates the headlines and Perplexity wins on search, Claude has carved out a growing niche among consultants, analysts, and knowledge workers who want thoughtful, nuanced answers. If your target customers are in this category, Claude visibility might matter more than you think.
But tracking whether Claude recommends you comes with its own set of challenges.
Why Claude matters for business visibility
The professional user base
Claude's user base skews toward professionals. Consultants, researchers, developers, and decision-makers who've tried multiple LLMs and prefer Claude's approach to depth and nuance. These are high-value users. When they ask Claude for a tool recommendation, they're often close to a buying decision.
Quality over quantity signals
Claude's training emphasizes accuracy, helpfulness, and honesty. This means the signals that earn Claude's recommendation tend to be different from what works on other platforms. Claude appears to favor content that demonstrates genuine expertise, acknowledges tradeoffs, and provides depth rather than surface-level marketing claims.
For brands that invest in quality content, Claude can be a surprisingly strong visibility channel.
Growing market share
Claude's usage continues to grow, particularly in professional contexts. The launch of Claude for enterprise, API integrations, and the expanding user base mean the audience asking Claude for recommendations is getting larger every quarter.
What makes Claude tracking unique
The depth and nuance factor
Claude's responses tend to be longer, more detailed, and more nuanced than other LLMs. When Claude mentions your brand, it often provides context about why, what you're good at, and where you might have limitations. This richness means tracking "mentioned or not" misses important information. You need to capture how Claude describes you.
Fewer but more considered mentions
In testing, Claude often mentions fewer brands per response compared to ChatGPT or Gemini. It tends to make more deliberate recommendations rather than listing many options. This means getting mentioned by Claude can carry more weight per mention, but the threshold to get in is higher.
Consistency in reasoning
Claude tends to explain its reasoning. "I'd recommend X because they focus specifically on Y" is a common pattern. Tracking these reasoning statements helps you understand what signals Claude is responding to, giving you clearer direction for optimization.
Training data considerations
Claude's training data has specific characteristics. It emphasizes well-sourced, accurate information. Content that's promotional without substance tends to be less represented. Understanding this helps you create content more likely to appear in Claude's training.
What to track
Mention presence
The basics: for each relevant prompt, does Claude mention your brand? Track as yes/no, then add layers.
Recommendation strength
Claude's mentions exist on a spectrum:
- Primary recommendation: "For that use case, I'd suggest [Brand]..."
- Strong mention: "[Brand] is particularly good at..."
- Listed option: "Some options include [Brand], along with..."
- Mentioned with caveats: "[Brand] offers this, though you should be aware..."
- Mentioned negatively: "[Brand] has had issues with..."
Track which level you're hitting. The goal is to move up this spectrum over time.
Reasoning provided
When Claude recommends you, why does it say so? Record the reasoning. These statements reveal what signals Claude associates with your brand. If Claude says "they're known for their detailed documentation," that tells you which of your content assets is working.
Competitor analysis
Who else does Claude recommend? Pay special attention to who Claude recommends instead of you and what reasoning it gives for those recommendations. That's your competitive intelligence.
Cross-prompt patterns
Some brands are visible on Claude for certain prompt types but invisible for others. Track visibility by prompt category (comparison queries, recommendation queries, "best for" queries) to identify patterns.
Manual tracking approach
Step 1: Create your prompt list
Focus on prompts that match how Claude's professional user base actually asks questions. These users tend to be more specific:
- "What's a good [product] for a solo consultant doing [specific task]?"
- "I need a [category] tool that's simple and under $100/month. Suggestions?"
- "Compare [your brand] and [competitor] for [use case]"
- "What should I look for when choosing a [product category]?"
Step 2: Query Claude and record details
For each prompt, capture:
- Mentioned (Yes/No)
- Recommendation strength (primary, listed, caveated)
- Exact phrasing of any recommendation or mention
- Reasoning Claude provides
- Competitors mentioned and their framing
- Date
Step 3: Run multiple times
Claude's responses vary between conversations. Run your top 10 prompts at least three times each over a week to get a sense of consistency. A brand Claude mentions 3 out of 3 times has stronger signals than one it mentions 1 out of 3 times.
Step 4: Repeat on a regular cadence
Weekly or biweekly for your core prompts. Monthly for the extended list.
Why manual tracking isn't enough
The case against manual-only tracking is strong for every LLM, but a few Claude-specific factors make it especially limiting:
Response length. Claude's detailed answers take longer to read and analyze than other LLMs. Manual tracking on Claude is slower per query.
Nuance requires comparison. Understanding how Claude describes your brand requires comparing descriptions across multiple sessions. Hard to do rigorously by hand.
Professional users test multiple LLMs. Your target customer might ask Claude, then verify on ChatGPT or Perplexity. You need cross-platform data to understand your full visibility picture.
Automated tracking
Mentionable tracks your visibility across Claude alongside ChatGPT, Perplexity, Gemini, and Grok, giving you the multi-platform view that manual tracking struggles to provide.
Setup
- Create your project with your website URL
- Get AI-generated prompt suggestions tailored to your business
- Select prompts to track (or add custom ones)
- Automated tracking runs across all five LLMs
- View Claude-specific results and cross-platform comparisons on your dashboard
What you get
- Ongoing Claude mention tracking across your prompt list
- Historical trends showing visibility changes over time
- Competitor mention data for the same prompts
- Cross-platform comparison (Claude vs. ChatGPT vs. Perplexity vs. Gemini vs. Grok)
- Alerts when your Claude visibility changes significantly
Interpreting Claude data
Claude-specific insights
If Claude mentions you with strong reasoning: You have quality signals that Claude values. Identify what content or authority markers are driving this and reinforce them.
If Claude mentions competitors with detailed reasoning but not you: Read those reasoning statements carefully. They tell you exactly what Claude values for your category and what your competitors have that you lack.
If Claude mentions you inconsistently: You're on the edge of visibility. Small improvements in content depth, authority signals, or brand consistency could push you into stable mention territory.
Cross-platform patterns
Visible on Claude, invisible on ChatGPT: Your content has the depth and nuance that Claude values, but you may lack the broader authority signals or popularity indicators that ChatGPT weighs.
Invisible on Claude, visible elsewhere: Other LLMs might be responding to different signals. Claude's emphasis on accuracy and depth means surface-level content that works elsewhere may not be enough here. Invest in more comprehensive, expert-level content.
Consistent visibility across all platforms: Your overall AI visibility strategy is working. Content, authority, and brand signals all align.
Improving your Claude visibility
Create expert-level content
Claude rewards depth. Comprehensive guides, detailed comparisons with honest tradeoffs, original research, and content that demonstrates genuine expertise all contribute to Claude visibility.
Be specific and accurate
Avoid vague claims. Include specific numbers, concrete examples, and verifiable information. Claude's emphasis on accuracy means content that's precise and well-sourced performs better.
Acknowledge tradeoffs
Claude respects honesty. Content that acknowledges limitations while demonstrating genuine strengths tends to be referenced more favorably than pure marketing.
Build third-party credibility
Reviews, expert mentions, industry publications, and independent analysis all contribute to the authority signals Claude evaluates.
Start tracking
Ask Claude five relevant queries relevant to your business. Read the full responses carefully, not just whether you're mentioned, but how competitors are described and what reasoning Claude provides.
That initial snapshot will tell you where you stand. For continuous, automated tracking across Claude and four other LLMs, Mentionable's 7-day free trial gets you comprehensive data without the manual effort.
