KIVA by Wellows is an AI-powered SEO tool built for people who don’t have time to open 10 browser tabs to do keyword research. It automates the parts of SEO that usually eat up your day—keyword discovery, search intent classification, brief creation, and performance monitoring. If you’re running a small business, working solo, or managing clients as an agency, the pitch is clear: spend less time fiddling with spreadsheets, more time publishing content that ranks.

This isn’t just another AI content writer pretending to understand SEO. KIVA is more like a keyword intelligence and planning tool that connects directly to Google Search Console and uses ChatGPT-style LLMs to analyze trends, queries, and competitor behavior. It offers a guided workflow from keyword input to article draft, including WordPress publishing support.



A significant feature is its direct integration with Google Search Console (GSC). This allows KIVA to access your website's performance data for more personalized keyword suggestions, including what it terms "hidden gems."

The tool collects keyword data, including metrics like search volume, CPC (Cost Per Click), and competition. It then groups these keywords based on semantic similarity and user intent (e.g., informational, transactional). KIVA also analyzes your GSC data to categorize keywords into groups like "Gamechangers" or "Trendspotters."



Finally, KIVA automates the creation of content briefs. These briefs include structured outlines, headings, subheadings, and word count suggestions based on SERP analysis and user intent. For users with WordPress sites, KIVA allows direct drafting of content into the WordPress editor.

Who It’s For​

• Small businesses with no in-house SEO
• Indie hackers publishing regularly
• Content teams at agencies managing client SEO
• Founders or marketers juggling too many tools

What It Does (Core Features)​

• Keyword research based on seed terms, using GSC, Google, Bing, and Yahoo data
• Search intent classification: transactional, informational, commercial, etc.
• SERP outline creation based on actual ranking formats and intent types
• Content briefs that include LSI terms, PAA questions, word counts, and tone-of-voice
• Brand guideline integration to maintain consistent voice
• GSC integration to surface “hidden gem” keywords (low-hanging fruit with high potential)
• LLM analysis to track competitor appearance patterns in ChatGPT
• ChatRadar: monitors how keywords show up in ChatGPT mentions (something very few tools track)
• Draft content directly to WordPress and use built-in AI editing
• Performance tracking across traditional SEO and AI-based engines

Potential Benefits​

• Time Savings: Automating keyword research, SERP analysis, and brief creation can considerably reduce manual effort.
• Data Integration: Combining data from multiple search engines, GSC, and third-party metrics in one place can provide a more comprehensive view.
• Intent-Focused Content: Emphasis on user intent and SERP analysis can lead to content that better meets audience needs and performs well in search.
• Brand Consistency: Incorporating brand guidelines into content briefs helps maintain a consistent voice and style.
• Adaptation to AI Search: Features like ChatRadar and LLM optimization show an attempt to address the growing influence of AI-driven search and answer engines.
• Streamlined Workflow: From keyword discovery to WordPress drafting, KIVA aims to consolidate many SEO tasks.

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