Search Intent

Leverage our advanced AI algorithms to accurately classify the intent behind search queries

AccuRanker's Search Intent feature uses AI and SERP data to analyze and categorize the intent behind search queries—classifying keywords as navigational, informational, commercial, or transactional. Access intent data across all 24 billion keywords in our database to gain precise insights into user behavior, optimize content alignment with user needs, and boost relevance and conversion potential.

Benefits of knowing the search intent

Enhanced keyword strategy

This feature aids in comprehending the underlying motives of search queries, enabling businesses to tailor their keyword strategies. Companies can create more relevant and targeted content by focusing on user intent, leading to better search visibility and attracting a more engaged audience.

AI-powered analysis

AccuRanker's advanced AI algorithms determine search intent and provide a cutting-edge approach to SEO. This technology deciphers complex search patterns, offering nuanced insights into what users are really looking for, allowing for more refined and effective content optimization strategies.

Improved content relevance

Aligning content with the detected search intent not only satisfies user queries more effectively but also increases the likelihood of higher rankings in search engines. This alignment ensures the content resonates better with the audience's needs, leading to longer engagement times and a lower bounce rate.

Competitive insight

By analyzing the search intent targeted by competitors, businesses can uncover gaps in their content strategies and identify new opportunities for differentiation. This insight helps craft unique content strategies that address unmet needs in the market.

Increased conversion rates

Aligning your SEO and content strategy with user intent not only attracts more traffic but also the right kind of traffic. This alignment increases the likelihood of visitors taking desired actions, such as signing up for a newsletter or making a purchase, thereby boosting conversion rates and overall business success.

Introduction to search intent

Search intent or user intent is the underlying reason the user makes a given search. When searching on Google, the user may look for a specific website, information, products, or something else.

We group search intent into four categories: Transactional, commercial, navigational, and informational. Learn more here and here.

We used a combination of unlabelled and hand-labeled data to train a machine learning model which precisely predicts search intents based on the keyword and the SERP.

Aligning your content with the search intent detected by AccuRanker not only satisfies user queries more effectively but also increases the likelihood of higher rankings.

Optimized purchase funnels

Utilizing search intent data allows businesses to align their marketing and sales funnels with the customer's stage in the buying process

Higher rankings

Content that matches search intent tends to rank higher in search engines, driving more organic traffic to the site

Increased conversion rates

Understanding the intent behind searches allows businesses to tailor their CTAs and on-page content, leading to higher conversion rates

Efficient marketing spend

By targeting keywords with the appropriate search intent, businesses can allocate their advertising budget more effectively, avoiding spend on low-intent keywords

Insights for content strategy

Identifying search intent helps in panning a content strategy that addresses the different stages of the customer journey, from awareness to purchase

Better user experience

By fulfilling the searcher's intent, businesses improve the overall user experience, and result in lower bounce rates

Trusted by 32,000 companies

AccuRanker's AI-based approach

Search intent is a nuanced topic. And setting up a set of fixed rules to find the intent Google is targeting for a given keyword is near impossible. Fortunately, the developments in the field of AI and machine learning over the past decade makes new methods feasible. We now have the right toolset to use the enormous amounts of SERP data AccuRanker processes daily to train a machine learning model.

AccuRanker's AI model is trained using a combination of hand-labeled and unlabeled SERP data to identify intent with more than 90% accuracy! Note, that accuracy in search intent can be somewhat subjective, as even humans (up to 40%) looking at SERPs disagree about the search intent, and a SERP can display multiple intents. Learn more here about how AccuRanker uses AI to determine search intent.

Our model uses more than 80 SERP features and a rich dataset from AccuRankers 24 billion keyword database

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I've evaluated numerous keyword tracking tools, but none match Accuranker's speed.

Rasmus Lindbacke,
Head of Search, Saxo Bank
9.5
Ease of Use
Industry average:8.9
9.7
Quality of Support
Industry average:8.8
9.6
Ease of Setup
Industry average:8.8

Using search intent

In AccuRanker you can easily segment your data by search intent on any level. For whole domains, landing pages, tags or just keywords you can get a quick overview of the intent of the keywords you are currently tracking, and also for those that you are not! You can also combine it with other filters to segment your data anyway you want.

The search intent data is also available in Looker Studio, in our Excel reports and through our API.

G2 Logo

I've evaluated numerous keyword tracking tools, but none match Accuranker's speed.

Rasmus Lindbacke,
Head of Search, Saxo Bank
9.5
Ease of Use
Industry average:8.9
9.7
Quality of Support
Industry average:8.8
9.6
Ease of Setup
Industry average:8.8

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