RankSpy AI Search — Competitor AI Visibility Guide

Meta Title: RankSpy AI Search — Competitor AI Visibility Guide Meta Description: The AI Search tab in RankSpy measures competitor visibility across ChatGPT, Claude, Perplexity, and Gemini. Learn how to read AI readiness scores. Primary Keyword: competitor ai visibility Secondary Keywords: rankspy ai search, competitor chatgpt mentions, ai readiness competitor, llm competitor analysis URL Slug: rankspy-ai-search-competitor-ai-visibility Featured Snippet Target: The AI Search tab in RankSpy measures how visible a competitor is to ChatGPT, Claude, Perplexity, and Gemini. Each domain gets an AI Search Ready score (0-100) with a letter grade. For rankar.ai the score is 69 (Grade C), meaning moderate AI visibility.

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Introduction

Competitor visibility on AI engines is now as important as competitor visibility on Google. The AI Search tab in RankSpy answers the modern version of the classic question: when a user asks ChatGPT or Claude about my category, does my competitor get mentioned more often than I do? This article unpacks how the tab works using the rankar.ai scan as the example.

The Top Tile: AI Search Ready Score

The tab's headline is the AI Search Ready score: a 0-100 metric with a letter grade. rankar.ai scores 69 — Grade C. The grade bands:

• A (90-100) — Excellent AI visibility. Cited in most relevant LLM responses.
• B (75-89) — Good. Cited in many responses.
• C (60-74) — Moderate. Cited sometimes but missing many opportunities.
• D (40-59) — Poor. Rarely cited.
• F (Below 40) — Invisible.

A Grade C means rankar.ai shows up sometimes but loses many citation opportunities to competitors.

What Goes Into the Score

The AI Search Ready score combines:

• Crawler accessibility. Can GPTBot, ClaudeBot, PerplexityBot, Google-Extended reach the site?
• Brand entity clarity. Is Organization schema deployed?
• Content chunkability. Can AI extract sections cleanly?
• llms.txt presence. Is a guide for LLMs available?
• Probe mentions. Across test prompts, how often does the brand appear?

The score weights each component by impact on actual AI engine behavior.

The Competitive Use Case

The point of measuring competitor AI visibility is comparison. Run RankSpy on yourself, then on your top competitors. Compare the scores side by side.

A typical pattern:

• Your domain: Grade C (69).
• Competitor 1: Grade B (82).
• Competitor 2: Grade A (91).

The gap reveals where you trail. The dimensions inside RankSpy (and the matching ones in RankAudit's AI Readiness tab) reveal why.

Closing an AI Visibility Gap

If a competitor scores 82 and you score 69, the 13-point gap is closable in 1-2 months with focused work:

1. Audit crawler access in your RankAudit. Fix any blocks.
2. Deploy Organization schema if missing.
3. Add llms.txt with brand identity, products, and FAQ.
4. Add FAQPage schema to high-traffic pages.
5. Re-run RankSpy weekly to measure progress.

What's Next

AI Search is covered. The next article unpacks the Tech Stack tab — what tools your competitor uses and what it reveals about their strategy.

Apply This With the Rankar Toolkit

RankSpy works best paired with the rest of the Rankar suite. Spin up the relevant tools: RankTalk • RankOps • RankAudit • RankWriter • RankTracker • RankAIO • RankBridge • RankLinks • RankLocal • RankLaunch • RankSpy • RankUX • RankLead. Each module shares data with the others — fewer tabs, one source of truth.