What Writesonic users actually want
Mimir analyzed 15 public sources — app reviews, Reddit threads, forum posts — and surfaced 19 patterns with 8 actionable recommendations.
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Top recommendation
AI-generated, ranked by impact and evidence strength
Build an AI-powered content gap analyzer that identifies specific missing content based on competitor citations and query patterns
High impact · Large effort
Rationale
Users can track their AI visibility but struggle to take action on what they see. The data shows 21 sources demanding deep insights into content gaps, competitor citations, and optimization priorities. This isn't about incremental improvements — users need the platform to tell them exactly what content to create based on where competitors are cited but they are not.
The evidence points to specific needs: understanding why AI recommends competitors, identifying which content formats drive citations (listicles, category hubs, how-tos), and knowing what semantic coverage is missing. Users already know AI systems prioritize original insights, statistics, and citations over generic content, but they lack tooling to systematically identify these gaps.
This recommendation bridges the visibility-to-action gap that defines Writesonic's positioning. The platform claims to take users from tracking to action to results, yet the volume of demand for actionable guidance suggests this promise is not fully realized. A content gap analyzer would transform passive monitoring into strategic direction, directly impacting engagement by giving users clear next steps after seeing their visibility scores.
Projected impact
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7 additional recommendations generated from the same analysis
Users track their presence across multiple AI platforms but lack guidance on what those platforms actually want. The data shows clear demand for understanding platform-specific citation patterns — ChatGPT has different content preferences than Claude, and these differences are consistent across industries.
Users see their overall visibility scores but struggle to prioritize where to focus optimization efforts. Ten sources emphasize the need for citation gap analysis showing sites that mention competitors but not the user's brand. This is the highest-leverage insight Writesonic can provide — it identifies exactly which questions and prompts represent the biggest competitive threats.
Users are applying SEO mental models to AI visibility and getting poor results. Twelve sources highlight that LLM optimization requires fundamentally different strategies — entity recognition over backlinks, semantic relationships over keywords, context over keyword matching. Users need to understand this shift or they will optimize for the wrong signals.
Most visibility tracking relies on API data, but users see different results in actual AI interfaces. Nine sources document this gap — APIs use classic ranking methods while web UIs use LLMs with retrieval-augmented generation. A page ranking #9 in Google might not appear in AI citations, while a lower-ranked page with semantic richness gets cited.
Nine sources emphasize that free and freemium tools are essential for freelancers, startups, and small businesses to compete effectively. Writesonic already offers free AI Traffic Analytics, creating a strong foundation for a broader freemium strategy. Smaller brands capture more AI traffic as a percentage of their total traffic than larger websites, making AI optimization a competitive equalizer.
Core content formats show 2-5x variation across industries, but users lack guidance on what this means for their specific vertical. Financial Services shows 2-3x higher category hub citations compared to other industries, while niche formats show extreme variation. Users need to understand which content types matter most in their industry to prioritize optimization efforts.
The action center provides systematic effort/impact scoring, but users need this connected to specific citation gaps and competitor analysis. The current implementation gives optimization recommendations, but users report needing deeper insights into why AI recommends competitors and which actions will move their visibility scores most.
Insights
Themes and patterns synthesized from customer feedback
Free and freemium tools are essential for freelancers, startups, and small businesses to compete effectively. Writesonic's free AI Traffic Analytics and keyword extractor enable cost-effective optimization for users lacking premium tool budgets, while AI optimization is a competitive equalizer for smaller websites.
“Free keyword research tools are essential for freelancers, startups, small businesses, and SEO beginners who lack budget for premium tools”
Writesonic collects personal data including email, name, IP address, and device identifiers, with processing in the US regardless of user location. Free-tier data may be used for AI training, and the platform uses various cookies for tracking; GDPR rights support data access, deletion, and portability for enterprise users.
“Writesonic collects email, name, IP address, browser type, device identifiers, and cookie data from users”
Writesonic tracks visibility based on 200M+ real AI conversations, differentiating from competitors that use keyword-to-prompt conversion or synthetic data. Data sourcing methodology directly impacts the reliability and actionability of visibility metrics for users.
“Writesonic dashboard shows overall AI visibility, share of voice vs competitors, sentiment/trends, and engine-level performance rather than just a single visibility score.”
Traditional SEO tools like Ahrefs and Semrush lack AI search tracking, creating a growing gap as trends shift toward AI-powered results. Newer competitors like Profound and Scrunch AI operate with different pricing models and feature sets, but Writesonic's integrated approach remains differentiated.
“Ahrefs is best known for backlink analysis and organic keyword research; Semrush offers broader tools including PPC insights, technical SEO, and content marketing.”
Writesonic offers AI content generation (100-200 articles/month at base plan) and Botsonic chat capabilities with analytics that reveal user interactions, satisfaction, FAQs, and response times. These features enable users to optimize customer engagement and content creation workflows.
“Writesonic generates 100-200 articles per month at $249/month base plan”
Users need automated detection and fixing of technical SEO issues (broken schemas, robots.txt, crawl errors) to ensure content is properly crawlable and indexable for both traditional and AI search. This support removes infrastructure barriers to visibility.
“Technical SEO auditing with automatic detection and fixing of broken schemas, robots.txt issues, and crawl errors”
The AI search landscape is rapidly evolving with new platforms emerging constantly. Writesonic automatically adds new AI search platforms to dashboards as they emerge, ensuring users don't miss visibility opportunities as the ecosystem expands.
“Platform automatically adds new AI search platforms to dashboard as they emerge, keeping visibility data complete”
Writesonic has strong adoption with 20,000+ marketers and 320-450+ reviews, recognized as a top tool in AI visibility and keyword research. The product is differentiated by free AI Traffic Analytics and trend analysis capabilities, providing strong market validation and competitive positioning.
“Product has 450+ reviews on a review platform”
Users need granular visibility into how their content performs across different AI platforms (ChatGPT vs Gemini vs Claude) and understand industry-specific citation patterns. Citation patterns vary significantly by industry, requiring both platform-level and vertical-specific analysis.
“Share of voice tracking to monitor visibility vs competitors across AI search platforms”
AI citations are a new visibility metric emerging alongside backlinks, but high backlink quality does not guarantee AI citations. Models prioritize relevance, clarity, and ability to answer real user questions over link count, making citations a credibility and trust signal independent of traditional link metrics.
“AI citations are emerging as a new metric for online visibility alongside traditional backlinks, as AI-generated answers in AIOs, ChatGPT, and other platforms gain prominence.”
Writesonic differentiates by combining visibility tracking with content creation tools and an Action Center that systematically scores and prioritizes optimization efforts. This end-to-end approach from tracking to action to results sets it apart from monitoring-only competitors.
“Product positioned as 'the only platform' taking users from tracking to action to results, emphasizing end-to-end solution”
AI search engines show different answers across API and UI interfaces due to different indexing and RAG approaches. Users need dedicated monitoring of both interfaces to capture the complete visibility picture, as traditional tools miss this critical gap.
“AI search engines show different answers across API vs UI interfaces, creating a visibility gap that traditional SEO tools miss”
Users need visibility into where target buyers ask questions—including Reddit, Quora, forums, and other UGC platforms that AI models cite heavily. This represents a new research and content opportunity beyond traditional keyword research.
“Social conversation discovery showing Reddit threads, Quora questions, and forums where target buyers ask questions”
Users need deep insights into content gaps, competitor citations, and optimization priorities to bridge the gap from tracking to taking action on visibility improvements. This includes specific content format recommendations (listicles, category hubs, how-tos) and guidance on semantic coverage and original insights that drive citations.
“Deep analytics filtering by platform, sentiment, topic, or individual prompts to understand why AI recommends competitors”
Users need real-time monitoring of brand presence, citations, and sentiment across ChatGPT, Gemini, Perplexity, and 10+ AI search platforms. This foundational capability differentiates Writesonic from traditional SEO tools and enables users to see AI-generated answers that are invisible to Google Analytics.
“Platform tracks AI visibility across ChatGPT, Gemini, Perplexity, and 10+ AI search platforms with real-time monitoring”
LLM Optimization (LLMO) requires context, entity recognition, semantic relationships, and original data over keyword matching and backlinks. Users need to understand that AI citation patterns operate on different principles than traditional SEO, making keyword-focused strategies insufficient.
“LLM Optimization (LLMO) enhances brand visibility in AI-generated responses from ChatGPT, Claude, Gemini, and Perplexity, while traditional SEO focuses on search rankings”
Users need to understand their competitive position in AI search results and identify citation opportunities where competitors are mentioned but they are not. This enables strategic prioritization of optimization efforts across different prompts, intents, and geographic variations.
“Citation gap analysis showing sites that mention competitors but not your brand, with outreach templates”
The discovery channel is fundamentally shifting from click-based traditional SERPs to context-based AI citations. Brands cannot see what AI answers say about them without dedicated visibility tools, making this the fastest-growing discovery channel they're currently optimizing blind.
“Brands cannot see what AI answers say about them; they're invisible in the fastest-growing discovery channel (AI Search) without visibility tools.”
Brands measuring and optimizing AI visibility today build compounding authority and become default answers in AI-generated responses. Teams without AI visibility tracking fall behind competitors who are already building trust with AI models.
“Brands measuring AI visibility today become the default answer tomorrow. AI visibility compounds: once models consistently see and trust your content, citation becomes consistent.”
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