Ultrasuggest

If you create content that needs to be visible in search, there is one tool you can hardly do without: the suggest tool. It reveals what people are actually searching for – in real time, straight from search engine data. This guide explains how Google Suggest works, why it is so valuable for keyword research and how you can put the Ultrasuggest to practical use.

Google Suggest – also known as Google Autocomplete – is the feature that automatically shows completion suggestions as you type a search query. These suggestions appear in the search bar before you have even finished typing.

The suggestions are not random. Google draws on several data sources:

• Search frequency: Queries that are entered particularly often are more likely to appear as suggestions.
• Freshness: Trending topics and current events feed into the suggestions.
• Location: Regional differences influence which suggestions are shown.
• Search history: For logged-in users, previous searches play a role.

For SEO purposes, the most relevant suggestions are the ones based on frequency rather than on an individual location – in other words, what many people search for in a given region or language. This is exactly the data a suggest tool makes systematically accessible.

Watching autocomplete suggestions by hand gives you the occasional idea. A suggest tool makes this process systematic and scalable, which brings real benefits for search engine optimization:

Identify long-tail keywords

Suggestions are almost always longer, more specific search queries. These long-tail keywords usually face less competition and are more likely to convert because they express a specific intent. If you type “running shoes”, for example, you get suggestions like “running shoes for beginners with wide feet” – a keyword that speaks to a very clear audience.

Understand search intent

Suggestions show how people phrase a question – not how companies talk about their product. This difference is crucial: content that uses your users’ language ranks better and converts better.

Uncover current trends

Because Google Suggest is based on current search data, the suggestions reflect what is in demand right now. Regular queries on a topic show you which new questions or terms are gaining relevance.

Generate content ideas efficiently

Instead of lengthy brainstorming sessions, a suggest tool hands you topic ideas that people demonstrably search for. This reduces the risk of creating content nobody is looking for.

A suggest tool is not something you use once. It supports the entire content process – from the first idea to the optimization of existing texts.

Phase 1: Finding topics and keyword ideas

Enter a seed keyword into the tool and analyze the suggestions. You immediately get an overview of which aspects of a topic are searched for most often. This is the starting point for a solid keyword strategy.

Phase 2: Building your text structure around questions

Many suggestions are questions: “How does … work”, “What does … cost”, “Why is …”. These questions work well as subheadings in a text, giving you a structure that responds directly to what your audience is asking.

Practical example: For the topic “keyword research”, a suggest tool returns suggestions such as “keyword research free”, “keyword research for beginners” or “keyword research tools comparison”. Each of these suggestions can justify its own chapter, its own page or at least a paragraph.

Phase 3: Enriching existing content

For texts you have already published, a suggest tool shows which related questions are still unanswered. Closing these gaps improves the topical depth of your content and can strengthen your rankings for related search queries.

1. Enter a seed keyword and export all suggestions
2. Cluster the suggestions into topic groups
3. Use relevant questions as outline points
4. Add missing topics to the existing text
5. Repeat the process after a few weeks to capture new trends

The Ultrasuggest is a free online tool that retrieves autocomplete suggestions from several search engines and platforms at once. It is aimed at SEO professionals, content marketers and anyone who wants to make their keyword research more systematic.

Supported platforms

The tool does not just cover Google. It delivers suggestions from a wide range of sources:

• Google
• Google Shopping
• Google News
• Bing
• Amazon
• YouTube
• eBay
• Wikipedia
• Yahoo
• Yandex

This is especially valuable if you optimize not only for classic web search but also for e-commerce platforms or video content.

How to use the Ultrasuggest

1. Open the tool on seorch.net
2. Enter your keyword or search query in the input field
3. Start the analysis – the tool retrieves suggestions from all sources at once
4. Filter the result by source (e.g. Google, Amazon or YouTube)
5. Use the results directly for your keyword list or content planning

Features and benefits

• Speed: The query returns results in seconds, without you having to type each letter by hand.
• Scope: The tool systematically generates suggestions for all letter combinations, not just for what you entered directly.
• API and Whitelabel: Agencies and developers can use an API to integrate the tool into their own workflows or products.
• Free: The core features can be used without registration or payment.

Besides the Ultrasuggest, there are other free tools built on suggest data.

The advantage of the Ultrasuggest is the combination of being completely free, broad platform coverage and the API option for advanced use cases.

Put search intent first

A keyword on its own says little. What matters is what the user wants to achieve: are they looking for information, wanting to buy something or trying to complete a specific task? Suggestions often give direct clues to the intent. “keyword research guide” signals a need for information, while “free keyword research tool” signals the desire for a specific tool.

Combine suggest tools with other keyword tools

Suggest data shows what people search for – but not how often. Combine the keywords you find with a tool that provides search volume and competition data so you can set priorities. That gives you a complete keyword strategy.

Repeat regularly

Suggestions change over time. What is trending today may be irrelevant in three months – and vice versa. Schedule regular queries for your most important topics so you can spot new opportunities early.

Avoid over-optimization

Not every suggestion has to end up in your text. Deliberately choose the keywords that fit the topic and reflect a clear search intent. Texts that force in too many keywords lose readability and quality.