ASO Glossary

Multi-Keyword Search

Multi-keyword search is a RespectASO feature that lets you research up to 20 keywords simultaneously across up to 5 countries, with scoring and classification for each.

What Is Multi-Keyword Search?

Multi-keyword search is a RespectASO feature that allows you to research up to 20 keywords simultaneously across up to 5 countries. 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 the automatic seven-category keyword classification.

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 20 keywords per search rather than running 20 individual searches.

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 "High Competition" in the US might be a Sweet Spot in Brazil or a Hidden Gem in Indonesia.

How to Use Multi-Keyword Search Effectively

Step 1: Prepare Your Keyword List

Enter up to 20 keywords as a comma-separated list. 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 30 supported markets. 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
  • Classification: One of seven categories — Sweet Spot, Hidden Gem, Good Target, Moderate, Low Volume, High Competition, or Avoid

Step 4: Prioritize

Sort by classification or opportunity score. Sweet Spots and Hidden Gems are your highest-priority keywords. Good Targets fill remaining space. Avoid keywords classified as "High Competition" or "Avoid" — they won't produce results for the metadata space they consume.

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 High Competition in the US, while "allowance" is Hidden Gem 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 30 markets offers the best opportunity?

Put This Knowledge Into Practice

Use RespectASO to research keywords and optimize your App Store metadata.