ASO Glossary
Multi-Keyword Search
Multi-keyword search is a RespectASO feature that scores a list of keywords at once across up to 5 countries. With Pro, a list can hold up to 1,000 keywords.
What Is Multi-Keyword Search?
Multi-keyword search is a RespectASO feature that allows you to research a whole list of keywords at once across up to 5 countries: up to 1,000 keywords per search with Pro, researched in the background, and 3 per search in the free version. Instead of scoring keywords one at a time, you enter a comma-separated list of terms and receive popularity, difficulty, and opportunity scores for every keyword-country combination, along with one of the five Insight tags on every row.
This batch approach transforms keyword research from a tedious, one-by-one process into an efficient workflow where you can evaluate and compare dozens of options at once.
Why Multi-Keyword Search Matters
Efficiency
Effective keyword research requires evaluating many candidates. For a typical app, you might start with 30–50 potential keywords, narrow them to the best 15–20 through scoring, and then distribute those across your title, subtitle, and keyword field. Multi-keyword search lets you batch-evaluate a whole list per search rather than running one search per keyword.
Comparative Analysis
Individual keyword scores are most useful in context. "Budget" with popularity 55 and difficulty 60 is hard to evaluate in isolation, but when you see that "expense" has popularity 45 and difficulty 30, the choice becomes clear. Multi-keyword search enables this side-by-side comparison naturally.
Cross-Country Comparison
By evaluating the same keywords across up to 5 countries simultaneously, you can instantly see where each keyword has the best opportunity profile. A keyword that's classified as "Worth Climbing" in the US might be a Sweet Spot in Brazil or an easy Good Target, a hidden gem, in Indonesia.
How to Use Multi-Keyword Search Effectively
Step 1: Prepare Your Keyword List
Enter your keywords as a comma-separated list or one per line. Include a mix of:
- Core terms: The primary words that describe your app's function (e.g., "budget, expense, tracker, finance")
- Synonyms: Different words users might search (e.g., "spending, money, savings, planner")
- Feature-specific terms: Words that describe unique features (e.g., "recurring, categories, export, chart")
- Long-tail components: Individual words from longer phrases that might combine with your other keywords
Step 2: Select Countries
Choose up to 5 countries from the 175 App Store storefronts. A common pattern: start with your primary market plus 2–4 international markets you're considering for localization.
Step 3: Analyze Results
For each keyword-country combination, you receive:
- Popularity (1–100): Search volume estimate
- Difficulty (1–100): Competition level
- Opportunity (0–100): Composite viability metric
- Downloads at #1: What the keyword brings whoever holds the top spot
- Insight: One of five tags: Sweet Spot, Good Target, Supporting, Worth Climbing or Low Volume
Step 4: Prioritize
Sort by Insight or opportunity score. Sweet Spots are your highest-priority keywords, then Good Targets. Supporting keywords fill remaining space, and the easy ones among them are the hidden gems worth a keyword field slot. Target keywords tagged "Worth Climbing" when they fit your app, since they pay more as it climbs, and skip "Low Volume": even the top spot pays under one download a day, too little for the metadata space it would take.
Practical Example
For a budget-tracking app, you might search these 20 keywords:
budget, expense, tracker, finance, money, savings, spending, planner, wallet, bill, income, debt, loan, subscription, receipt, bank, invest, tax, paycheck, allowance
Across markets like US, Germany, and Brazil, you'd receive 60 scored keyword-country combinations (20 keywords × 3 countries). The results might show that "budget" is Sweet Spot in Brazil but Worth Climbing in the US, while "allowance" is Supporting in all three markets. This data directly informs how to allocate your 160 characters of indexed metadata.
Common Mistakes
- Too many similar keywords: Including "budget," "budgets," "budgeting" wastes keyword slots. The search algorithm handles pluralization. Use the 20 slots for 20 distinct concepts.
- Only searching one country: Multi-keyword search supports up to 5 countries. Not using this for cross-market comparison misses one of the tool's most valuable capabilities.
- Ignoring lower-popularity keywords: Don't dismiss a keyword with popularity 25 if its difficulty is 5: the opportunity score and classification will tell you if it's worth your metadata space.
How Multi-Keyword Search Fits Into the ASO Workflow
Multi-keyword search is the core evaluation step in the keyword research process. After brainstorming candidates (step 1), you batch-score them with multi-keyword search (step 2), select the best performers (step 3), and distribute them across your title, subtitle, and keyword field (step 4). The Country Opportunity Finder complements this by answering a different question: for a single keyword, which of all 175 App Store storefronts offers the best opportunity?
Put it to work: how to find App Store keywords for your iOS app, step by step.
Put This Knowledge Into Practice
Use RespectASO to research keywords and optimize your App Store metadata.