Purpose
Writesonic is positioned as an "AI Search Growth Engine," used to help brands gain visibility in AI search and conversational answer scenarios. Its core goal is to make brands appear in answers and recommendations on platforms such as ChatGPT, Claude, Gemini, and Google AIO, solving the problem of "AI citing competitors without mentioning you," and turning AI search visibility into traffic, pipeline, and revenue.
Main Capabilities
- AI Visibility Tracking: Monitors brand performance across 8 AI platforms, including visibility, citations, and sentiment. The example shows changes in share for Claude, Gemini, ChatGPT, and Google AIO.
- AI Search Dataset: Covers 8 platforms, 50+ markets, and 2 billion+ real AI conversations, supports research by brand or topic, comparing brands, and discovering prompts and trends, updated weekly.
- Opportunity Prioritization: Ranks by visibility and citation impact, identifies missing prompts, citation gaps, content fixes, and technical issues, and provides 5-10 actionable items each week.
- Content and GEO Optimization: AI agents rewrite pages, add FAQ sections, comparison tables, and self-contained paragraphs that are easy for AI engines to cite; helps refresh existing pages and supplement schema/FAQ/latest data.
- External Citation Acquisition: The company says 85% of AI citations come from non-owned sites; the platform finds Reddit posts, YouTube videos, and high-DR list articles that cite competitors, and drafts outreach content.
- Technical Fixes: Audits robots.txt, schema, indexing, and broken links, captures 404/500 errors from GPTBot, ClaudeBot, and PerplexityBot, and can automatically fix them with one click.
- Performance Measurement: Each fix is measured on Day 14 and Day 28, tracking citation share, AI traffic, conversions, and pipeline to verify what works and repeat it.
- Enterprise and Agency Support: Multi-brand tracking, executive reports, approval workflows, dedicated AI search strategists, 50+ languages; for agencies, provides white-label reports, multi-client management, pitch workspace, and prebuilt SOWs.
- E-commerce Scenarios: Brings products into ChatGPT Shopping and AI recommendations, providing product-level tracking, feed optimization, shopping triggers, and retailer attribution.
How to Use
The platform is organized around its proposed "AI Search Loop": Track -> Prioritize -> Act -> Measure -> Repeat. Users can monitor a brand or selected prompts, and the platform runs these prompts daily across different AI platforms; can research any brand or topic; get an action list ranked by impact; use AI agents to complete content rewrites, citation outreach, and technical fixes; and after fixes, view traffic, conversion, and pipeline improvements. The company also offers demo booking to talk with an AI search strategist to learn about the brand's current situation, blind spots, priority action plan, and ROI attribution method.
Use Cases
- Brand and marketing teams want recommendations and citations in AI search answers.
- SEO/content teams need to balance traditional SEO and AI search optimization.
- Agencies need to manage multiple clients, generate white-label reports, and conduct pitches.
- E-commerce brands want products to enter ChatGPT Shopping and AI recommendations.
- Enterprises need multi-brand tracking, approval workflows, executive reports, and compliance support.
