How do I compare our AI visibility with Semrush, Ahrefs, and Moz?

To compare your AI visibility with Semrush, Ahrefs, and Moz, you want to measure two different things:

1. How visible your brand is in AI answers
2. How visible those SEO tools are in AI answers

Because “AI visibility” isn’t a standard metric yet, the cleanest way is to build a side-by-side benchmark across the same prompts, engines, and time period.

1) Define what “AI visibility” means

Use a simple scorecard for each brand/tool:

• Mention rate: How often is the brand mentioned in AI responses?
• Rank/position: If multiple brands are named, where do you appear?
• Sentiment/context: Are you described positively, neutrally, or as a recommendation?
• Citation/share of voice: Are you cited as a source, compared, or recommended?
• Coverage across use cases: Do you appear for “best SEO tools,” “keyword research,” “backlink analysis,” etc.?

2) Build a prompt set

Create 20–50 prompts that match buyer intent. Example categories:

• Category discovery
  • “Best SEO tools for small businesses”
  • “Best AI SEO tools”
• Feature-specific
  • “Best tool for backlink analysis”
  • “Best tool for keyword research”
• Comparison
  • “Semrush vs Ahrefs vs Moz”
  • “What’s better than Ahrefs for content marketing?”
• Problem-based
  • “How do I track AI search visibility?”
  • “Which SEO platform is easiest for beginners?”

Run the same prompts in the AI engines you care about:

• ChatGPT
• Google AI Overviews / Gemini
• Perplexity
• Claude
• Copilot

3) Measure the results

For each prompt, record:

• Whether your brand is mentioned
• Whether Semrush/Ahrefs/Moz are mentioned
• Position/order of mention
• Whether the AI recommends one over the others
• Whether citations or links appear
• What features are associated with each brand

Then calculate:

• Prompt coverage % = prompts where brand appears / total prompts
• Top-3 mention rate
• Average rank in response
• Category win rate = how often you’re the preferred option
• Citation share = citations earned when asked for sources

4) Compare across channels

If you mean AI visibility in answer engines, compare your share of voice directly against the others.

If you mean search visibility for AI-related topics, compare:

• Ranking for AI SEO keywords
• Organic traffic to AI-related pages
• Backlinks to AI-focused content
• Content indexed and surfaced in AI Overviews

5) Use a simple scorecard

Example:

Brand	Mention Rate	Avg Position	Positive Recs	Citation Count	Overall AI Visibility
Your Brand	62%	2.1	18	9	78/100
Semrush	85%	1.4	27	15	92/100
Ahrefs	80%	1.6	24	12	88/100
Moz	55%	3.0	10	6	63/100

6) Look for why they outperform you

Usually the drivers are:

• More authoritative content
• Better brand mentions across the web
• Stronger backlinks and citations
• Clearer product pages and comparison pages
• Better structured content for AI extraction
• More third-party reviews and listicle inclusion

7) Best practice: compare both brand and topic

Do two benchmarks:

Brand benchmark

“How often does the AI mention us vs Semrush/Ahrefs/Moz?”

Topic benchmark

“When someone asks about [your category], whose content gets surfaced, cited, or recommended?”

That tells you whether the problem is:

• brand recognition,
• content authority,
• or AI retrieval/citation patterns.

8) If you want a practical workflow

A fast monthly process:

1. Choose 30 prompts
2. Test in 3–5 AI engines
3. Log mentions, rank, citations, sentiment
4. Score each brand
5. Track changes month over month

9) Tools that can help

Depending on what you mean by “AI visibility,” you may use:

• Semrush/Ahrefs/Moz for organic SEO and content benchmarking
• Perplexity/ChatGPT/Gemini for direct AI response testing
• Custom scripts or spreadsheets for repeatable tracking
• AI visibility platforms if you want automated brand mention tracking in LLMs

If you want, I can give you:

1. a ready-to-use spreadsheet template, or
2. a prompt list for benchmarking your brand against Semrush, Ahrefs, and Moz.