Advanced: Finding AI-Safe Query Spaces with Semrush SERP Signals

AI-driven search features like Google AI Overviews and ChatGPT web search are reshaping organic traffic. For every query an AI can answer fully, publishers lose clicks. The solution? Identifying AI-safe query spaces: search terms where AI tools either can’t provide complete answers, or still drive high click-through rates to original sources.

Semrush’s SERP signal data makes this process scalable, even for enterprise-level keyword portfolios. Below, we break down exactly how to use Semrush to find, validate, and prioritize AI-safe query spaces for your content strategy.

What Are AI-Safe Query Spaces?

As outlined in Google’s official Search Central blog, AI Overviews are prioritized for informational queries with clear, factual answers, making these the first to become AI-unsafe.

AI-safe query spaces are search terms that fall outside the scope of current AI search capabilities. These queries typically have one or more of the following traits:

• High commercial or transactional intent (e.g., buy CRM for 10 employees)
• Hyper-local focus (e.g., plumber near me open now)
• Niche, technical, or hyper-specific requirements (e.g., Siemens PLC programming error code 0x80041002 fix)
• Requires subjective judgment or recent, unindexed data (e.g., best coffee shops in Austin opened in 2024)

Contrast this with AI-risky queries: simple informational, factual, or how-to queries with clear, static answers. For example, what is the capital of France or how to boil an egg are fully answered by AI, making them unsafe for organic traffic growth.

Why Use Semrush SERP Signals to Find Them?

Semrush pulls real-time, historically tracked SERP data for millions of keywords, including all active SERP features and AI-specific markers. Key advantages include:

• Scalability: Bulk analyze thousands of keywords at once for AI presence
• Intent mapping: Filter queries by commercial, transactional, or local intent automatically
• Historical tracking: See how long AI features have been present in a query’s SERP
• Competitor gap analysis: Identify queries your rivals rank for that lack AI coverage

Step-by-Step: Finding AI-Safe Query Spaces with Semrush

Step 1: Filter for Low AI SERP Presence

Start with Semrush’s Keyword Magic Tool or an existing Position Tracking campaign. Filter for keywords where the AI Overview or AI Chat SERP feature is not present. Semrush marks all AI-specific SERP features clearly in its SERP analysis dashboard.

Pro tip: Also exclude keywords with Featured Snippets that pull full answers, as these have similar traffic risks to AI Overviews.

Step 2: Prioritize Queries with High Click-Through Potential

Even if a query has a limited AI presence, validate that users still click past AI results. Use Semrush’s CTR data for top 3 positions: look for keywords where position 1 has a >20% CTR, and top 3 combined CTR exceeds 40%.

This indicates users find value in clicking through to original sources, even when AI snippets are present.

Step 3: Validate Query Intent Matches Your Content

Use Semrush’s built-in Intent filter to prioritize Commercial, Transactional, and Local intent queries. These intent types are 3x less likely to be fully answered by AI than Informational queries, per internal Semrush data.

For example, best budget laptops 2024 (Commercial) is far safer than what is RAM (Informational).

Step 4: Check Historical SERP Stability

Navigate to Semrush’s SERP History tool for your target keywords. AI-safe query spaces have stable SERPs with no AI features present for 6+ months. Avoid queries where AI features have been added in the last 3 months, as these are still volatile.

Step 5: Map Competitor AI Gaps

Use Semrush’s Domain Overview to pull your top 3 competitors’ ranking keywords. Cross-reference this list with your AI-safe filter: any competitor ranking keyword without AI presence is a high-priority gap for your content strategy.

Consider pairing this guide with our internal deep dive into Semrush Position Tracking for ongoing SERP monitoring, or our guide to local SERP optimization for hyper-local query strategies.

3 Critical Signals to Validate AI Safety

Before finalizing your AI-safe query list, confirm each keyword meets these three criteria:

• No AI Overview, AI Chat, or full-answer Featured Snippet in the top 10 SERP results
• Top 3 results have a combined CTR of >40%
• Query intent is Transactional, Commercial, or Local (not Informational)

Common Mistakes to Avoid

1. Ignoring local query variations: Local queries with near me or city-specific modifiers are rarely fully answered by AI, making them high-value safe spaces.
2. Overlooking long-tail, niche B2B queries: AI models struggle with hyper-specific technical queries that require domain expertise.
3. Relying only on keyword volume: Low-volume (100-1000 monthly searches) AI-safe queries with high commercial intent convert 5x better than high-volume risky informational queries.

Frequently Asked Questions

What makes a query AI-unsafe?

Queries where AI tools can provide a complete, accurate answer without linking to external sources. These are typically simple informational, factual, or step-by-step how-to queries with static, widely available answers.

Can I use Semrush’s free tier for this analysis?

Semrush’s free tier offers limited SERP feature data. Full AI feature tracking, historical SERP data, and bulk keyword analysis require a Pro or higher subscription.

How often should I audit my AI-safe query spaces?

Quarterly audits are recommended, as Google and other search engines roll out AI features to new query types monthly. High-value query spaces should be checked monthly.

Do AI-safe query spaces ever become risky?

Yes, as AI models improve, they may start answering queries they previously couldn’t. Regular auditing and SERP monitoring are critical to maintaining traffic.

Conclusion

AI-safe query spaces are no longer a nice-to-have for search strategies: they’re critical for protecting organic traffic as AI search adoption grows. Semrush’s SERP signals take the guesswork out of identifying these spaces, letting you scale your research across thousands of keywords in minutes.

Start with your top 10 converting keywords: run them through the Semrush AI presence filter, validate their click-through potential, and expand your content strategy to cover high-value gaps first.

Ready to safeguard your search traffic? Sign up for a 7-day free trial of Semrush Pro to access full SERP signal data, historical tracking, and bulk keyword analysis today.