AI based on Google Search Console Data

Introduction

What is Google Search Console?

Google Search Console is a free tool provided by Google that helps website owners monitor and maintain their site's presence in Google Search results. It offers insights into how Google views your site, identifies issues needing attention, and provides data on search traffic and performance to improve SEO strategies.

What is CogniVis AI?

CogniVis AI is a platform that enables you to pull data from different sources and combine them with each other to create practically useful AI tools. Sources may include your internal company knowledgebase and a variety of most popular business apps like GitHub, Jira, Slack, and more.

This enables you to easily create AI chatbot assistants (internal), custom generators and even embeddable AI chat widgets trained on your data.

How CogniVis AI works with Google Search Console?

The Google Search Console Connector retrieves all performance data and related insights from the specified websites.

What exact sources are pulled:

Performance Data
Total clicks
Total impressions
Average click-through rate (CTR)
Average position in search results
Queries (search terms users entered)
Pages (URLs that appeared in search results)
Countries (geographical breakdown of traffic)
Devices (traffic from mobile, desktop, tablet)
Date of performance data
Index Coverage
Indexed pages
Crawl errors
Sitemaps status

Configuration

Create new Project

Set up a new project in Google Cloud.

Activate the Google Search Console API

Expand the sidenav, then go to APIs & Services and choose Enabled APIs & Services.

At the top, select + ENABLE APIS AND SERVICES.

Find and select the Google Search Console API.

Press the Enable button.

Configure the OAuth Consent Screen

Go to the OAuth consent screen.

Select External for User Type if you do not have a Google Organization.

Enter a name, provide the email addresses for contact, and press SAVE AND CONTINUE button.

Click ADD OR REMOVE SCOPES.

Include the scope .../auth/webmasters.readonly for the Google Search Console API. Click UPDATE and then SAVE AND CONTINUE.

Provide at least one test user email. Only the email addresses added in this section will be able to initiate the OAuth flow for indexing new emails.

Press on SAVE AND CONTINUE, check the changes, and then select BACK TO DASHBOARD.

Create Credentials

Navigate to the Credentials tab, press + CREATE CREDENTIALS and choose OAuth client ID.

Select Web application and assign it a name such as CogniVis Connector.

In Authorized JavaScript origins, enter https://INSTANCE.platform.cognivis.ai

In Authorized redirect URIs, enter https://INSTANCE.platform.cognivis.ai/admin/plugins/search-console/auth/callback

In place of the INSTANCE, put the name of your instance.

Clicking Create will display the option to download the credentials as a JSON file. Download it for use in the next step.

Add the connector to CogniVis

Navigate to CogniVis Connectors

In your platform, go to the Admin Panel, which you can find in the top right corner of the screen.

Go to the Plugins section in the menu on the left side of the screen.

Then, search for and Edit the Search Console Plugin.

Provide Credentials

Attach the previously downloaded JSON file.

Authenticate with Google Search Console

Press Authenticate with Google Search Console button. Finishing the OAuth flow will enable CogniVis to index emails the user has access to read. Remember that only email addresses added in Test users will be able to initiate the OAuth flow to index new emails.

Free trial

If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.

book a demo

On-premise

Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.

This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.

Contact our team & learn about options of deploying this connector on premise.

book a demo learn more about on-premise ai

Use cases

Check out potential benefits and use cases for this connector.

Enhanced SEO Strategy Optimization

By analyzing performance data such as total clicks, impressions, and CTR, AI can identify patterns in user behavior and suggest targeted SEO strategies. This helps in improving keyword targeting, content creation, and overall website optimization to increase search visibility.

Automated Performance Reporting

AI can automate the generation of detailed performance reports by compiling data on clicks, impressions, and average position. This saves time and provides stakeholders with regular, actionable insights into the website’s performance without manual effort.

Intelligent Content Suggestions

Using search queries and indexed pages data, AI can suggest content topics or modifications to existing content that align with what users are actively searching for. This ensures content remains relevant and engaging, driving more traffic to the site.

Proactive SEO Issue Detection

By monitoring index coverage and crawl errors, AI can proactively detect and alert website owners to potential SEO issues. This enables quicker resolutions to problems like broken links or indexing errors, maintaining website health.

Geographical Targeting Enhancement

With insights from the countries data segment, AI can recommend localization strategies for content and marketing efforts. This ensures that the website resonates with different audiences across various geographical locations, enhancing global reach.

Device-Specific Optimization

By analyzing traffic from different devices, AI can suggest optimizations tailored for mobile, desktop, and tablet users. This ensures that the website provides an optimal user experience across all platforms, improving engagement and conversion rates.

Competitor Benchmarking

Through the analysis of performance data, AI can identify areas where competitors might be outperforming. This allows businesses to strategically adjust their SEO and content strategies to gain a competitive edge in search rankings.

Search Trend Analysis

AI can use historical data to identify search trends over time, helping businesses anticipate changes in user interest and behavior. This foresight allows for strategic planning in content production and marketing efforts to capitalize on emerging trends.

User Intent Understanding

By analyzing search queries, AI can gain insights into user intent, helping businesses tailor their content and offerings to better meet the needs and expectations of their audience, thereby improving user satisfaction and retention.

Data-Driven Decision Making

With comprehensive performance analytics at hand, businesses can make informed, data-driven decisions regarding their digital marketing strategies, resource allocation, and overall business direction to optimize their online presence.

Google Search Console AI