Autocomplete Keyword Tool
60 auto complete keywords, 22 ngram topics found for your queries.
Google Search is our default keyword source. It’s the best way to start your keyword research and it is totally free.
Search intents on YouTube are way different, but its traffic is quite significant. Also have a look at our YouTube autosuggest how-to.
Google Shopping keyword suggestions have commercial and transactional nature in terms of search intent. Also check out our Product Keyword Extractor that is based on the Autocomplete Suggestions.
Google News Autosuggest is a great source to improve your traffic when you have News website.
How to extract search intent with our Autosuggest Tool?
Why the Google Autosuggest is great for your Keyword Research?
Google Autocomplete is a feature created to reduce the typing time of users. When a user types a text into the search engine, Google Autocomplete automatically completes it with query predictions. It’s a way for Google to make some suggestions to you. These suggestions are mainly user-based and aren’t tied to any particular brand or product. Autocomplete generates these predictions based on how you have defined keywords and your keyword usage.
Google Autocomplete is also crucial for businesses when trying to offset negative online reputation links. You may find yourself in a situation where Google suggests a site that offers exactly what you’re looking for, but has a reputation for being a scam. This can be frustrating for people who just want to get a good deal on a product or service and not end up with something that wastes their time.
Google Autocomplete only provides suitable predictions if you have entered all the relevant keywords you are looking for. If you want to buy something and enter the brand name as a search query, it will give you some suggestions. The whole concept behind Google’s suggestion and autocomplete is to provide web users with accurate searches. If they type trending topics, then Google Trends can give them the information they need.
Google Autocomplete suggests search queries based on previous searches, popular searches, and search terms the user has already entered. This speeds up your keyword search process and makes it much better. Plus, you can select country and language when searching to get localized suggestions.
How to report inappropriate predictions
Some autocomplete predictions may not be appropriate for your brand and may even have a negative impact on your online reputation. That’s why you can report this situation to Google. If you come across a prediction you don’t like, click on “Report inappropriate predictions” that appears below the search box on desktop. To report a prediction via your phone or the Google app, long-press on the prediction to get a report option. The request won’t be automatically deleted, but your feedback will be analyzed first.
Why to use the Autocomplete Keyword Tool
The Autocomplete Keyword Tool is a free, web-based keyword research tool that can help you select the right words for your niche, as well as finding related keywords. Its sole purpose is to provide marketeers to help them analyze keyword phrases and research trending searches on the internet.
The free Autocomplete Keyword Tool allows you to enter a targeted keyword phrase and find related searches for that phrase. You’ll find several suggestions for related searches, which may include brand names, brands, product lines, product categories, and product features.
Sometimes you will also see keywords that have nothing to do with each other. Your goal should be to choose the most useful keywords. Once you have selected the appropriate keyword list, you’ll be ready to start building your website and generating targeted traffic.
Want to get off on the right foot for SEO keyword planning? Try our free Autocomplete Keyword Tool. Once you’ve typed, you’ll see a list of related keywords based on popularity. It also gives valuable ideas for high-quality long-tail keywords.
Our Python Scripts for Autocomplete Keyword Suggestions
Scrape the Autosuggest with Python
Finding keywords with autocomplete may work fine. But can you do it fast and on scale? With this Python script, you can have 20.000 longtail keywords in less than 60 seconds! When you are familiar with Python this is great starting point to build your own autosuggest scraper tool to bring your keyword research to the next level:
- Enter your Seed Keyword List
- Automatically generate requests with “Keyword + a-z” and “Keyword + 0-9”
- Save all Keyword Suggestions to CSV
How to use the Autosuggest API Endpoints for Amazon, Bing and Google
First things first: There are no official APIs for the autosuggest results of Google, Bing or Amazon. But for each of them there are URLs available that can be accessed like APIs.
In this full guide you learn how you can call the mentioned autosuggest keyword sources, including the parameters you have to set for the specific search engine. This is a great start into building you own autosuggest tool.
Google Autosuggest Trends for Niche Keywords
You like Google Trends but you are disappointed that it does not work well for Long Tail Keywords? Then, use this Python Script to build your own “Google Trends” service.
The main idea is that the autosuggest keywords are saved over time. By doing this you can monitor for trending keywords:
- Provide your Keywords that should be monitored for new Autosuggest Keywords
- Schedule Weekly Script Runs
- Review trending search terms and use for your content strategy
How to work effectively the Google Autocomplete Keyword tool
We already mentioned above that sending the right keywords to the autosuggest is crucial for getting back relevant queries. Below, you find some examples of how you can create “smart” seed keywords to get back more specific search terms.
Ask the Autosuggest about your competitors
When we create keyword topics for consulting projects, we start to think about relevant entities for that business. Entities are a group of words that belong together somehow. Let’s say you sell a software solution—then one entity will be your competitors. Yes, you know your competition—but I bet you will be surprised what the users thinks. The are searching for product comparisons you probably haven’t thought about.
Let’s say my product is PRTG (a great network monitoring solution) and I want to focus on the market view when it comes to competition. By sending “PRTG vs “ to the autosuggest you’ll get all the answers easily.
Now let’s go back to the understanding of entities within the business: With this smart autosuggest seed keyword, I can create easily a list of the most important competitors in the market. You can create multiple lists like that and use it for understanding search queries or running text analysis based on entities.
Extract the most important products for a brand
There are a lot of situations where you want to extract the most important products for a given brand. An easy way of doing this is to send a brand name in combination with “review” to the Google autosuggest. By doing that, you will get the most important products in a way the users are searching for. This part is critical: In most of the time you are using the product names provided in for example google shopping feeds you will find product names that are not the way people are searching for.
We use this approach for PPC keyword research. But like shown in the other example, you can fill another entity list “product names” to understand the keyword topic in a superior way.
Once you understand the concept of search entities and ways to extract them directly from the Google autosuggest you can create SEO content in a very powerful way. Google loves it when you cover all semantic relevant aspects of a keyword topic. Entities will give you the perfect map or this.