This article explains how to use Search Atlas to go beyond surface-level competitor data and build a deeper picture of a rival's AI search strategy — including their keyword footprint, content gaps, and ranking trends that signal how well they are optimized for AI-powered search results.



## **📍 Where to Find It**

All of the core tools for this workflow are found in the left sidebar. From there you can access:

- **Keyword Magic** — discover the keyword universe a competitor may be targeting (**Left sidebar → Keywords → Keyword Magic**)
- **Rank Tracker** — monitor how a domain's rankings shift over time across target keywords
- **Keyword Gap** — compare your keyword coverage against a competitor's to find strategic opportunities

## **🛠️ Step-by-Step**

1. **Start with a domain-level keyword audit.** Navigate to **Left sidebar → Keywords → Keyword Magic** and enter the competitor's domain. Review the keywords they rank for, paying close attention to informational and question-based queries — these are strong signals of AI search optimization, as AI overviews and LLM citations tend to pull from content that directly answers questions.
2. **Identify their ranking trajectory.** Go to **Left sidebar → Keywords → Rank Tracker** (Keyword Rank Tracker) and add the competitor's key terms to a tracking list. Look for clusters of keywords that have risen recently — consistent upward movement on informational queries often indicates content structured for AI-readable formats (clear headings, direct answers, structured data).
3. **Run a keyword gap analysis.** Open **Left sidebar → Keywords → Keyword Gap** and enter both your domain and the competitor's domain. Filter results to surface keywords the competitor ranks for that you do not — especially any that appear to be conversational, long-tail, or answer-intent queries. These represent direct gaps in your AI search coverage relative to theirs.
4. **Evaluate content structure signals.** For the competitor's top-performing URLs surfaced in any of the above tools, manually review their page structure. Note whether they use FAQ sections, concise definitional paragraphs, or structured headers — these are patterns associated with content cited in AI-generated answers.
5. **Document your findings by intent category.** Organize the competitor's keyword set into intent buckets (informational, navigational, transactional). A competitor with a strong AI search strategy will typically show heavy density in the informational tier, particularly on topics relevant to their core product or service area.

## **✅ How to Confirm It Worked**

You will know your analysis is complete and actionable when you can answer the following questions with data pulled directly from the tools above:

- **Keyword footprint confirmed:** You have a filtered list of the competitor's informational and question-based keywords from Keyword Magic.
- **Ranking trends visible:** Rank Tracker shows at least one tracked keyword cluster for the competitor with visible position history.
- **Gap list exported:** Keyword Gap has returned a list of terms the competitor ranks for that your domain does not — and you have flagged the highest-priority targets for content development.

If the competitor domain returns limited data in any tool, this itself is a signal — low keyword footprint in informational queries suggests they are not yet strongly optimized for AI search, which may represent an opportunity for your own strategy.

If you need further assistance, open the chat widget in the bottom-right corner of the platform and type **human teammate** to be connected with a member of our team.