Best Tools for AI Visibility
AI-powered search is changing how people discover stuff online. Instead of browsing search results, users now rely on platforms like ChatGPT, Perplexity, Claude, and Google AI Overviews for direct answers. This shift makes AI visibility and GEO (Generative Engine Optimization) essential for businesses that want to stay discoverable.
Unlike traditional SEO, AI visibility focuses on how content is selected, summarized, and recommended by language models. In that sense, appearing inside AI-generated responses can significantly increase credibility, traffic, and conversions. With the right tools, brands can monitor their presence and optimize for this new search landscape.
Below is a curated list of leading tools designed to help you track, measure, and improve your visibility across generative AI platforms.
Peec AI
👍 Pros
👎 Cons
- Intuitive dashboard
- Affordable entry plans
- Accurate multi model tracking
- Quick CSV exports
- Limited auto alerts
- Basic integrations
Peec AI is an analytics platform that tracks brand performance in AI search environments. It focuses on metrics like visibility, position, and sentiment across models such as ChatGPT, Perplexity, and Claude. Users set up custom prompts to monitor specific queries and receive data on how brands appear in generated responses.
The tool provides dashboards for overviews, including trends over time and comparisons with competitors. Visibility measures the percentage of conversations where a brand is mentioned. Position indicates ranking within results. Sentiment scores perception on a scale, often from 0 to 100, based on AI interpretations.
Prompt management allows organization with tags and AI suggestions for high-volume queries. Competitor tracking enables side-by-side analysis. Source citations reveal influencing websites like G2 or Reddit, supporting strategy refinements.
Integrations include CSV exports, Looker Studio connectors, and API access for reporting. Data refreshes occur regularly, with segmentation by model, region, or audience available. Recommendations offer actionable steps, such as profile optimizations or PR efforts.
Peec AI serves marketing and SEO teams. It competes with tools like Profound for optimization depth and Otterly.ai for safety features. Users report accurate multi-platform tracking and intuitive interfaces. To begin, users define core prompts and monitor weekly trends for adjustments.
AthenaHQ
👍 Pros
👎 Cons
- Broad AI coverage
- Actionable insights
- Multi language support
- Top up costs
- Basic integrations
AthenaHQ is a SaaS platform that tracks and optimizes brand visibility in generative AI search engines. It queries platforms such as ChatGPT, Perplexity and Gemini to capture real time responses and analyzes mentions sentiment and citations. The tool supports Generative Engine Optimization or GEO which focuses on how brands appear in AI outputs rather than traditional rankings.
Core features include AI visibility tracking across supported models brand mention distribution and prompt analytics. Users access competitor analysis to compare share of voice and traffic sources from AI platforms. Source intelligence identifies influential websites cited in responses while content gap detection highlights missing information about the brand. Web analytics parses site traffic from bots crawlers and humans linking AI exposure to performance metrics.
The platform offers three tiers: Starter which provides 3500 credits for up to 14000 responses and includes basic monitoring unlimited topics and integrations like Google Analytics. More expensive Growth plan that adds 8000 credits automated outreach and AI blindspot detection. Finally, there’s the Enterprise plan that delivers custom credits advanced reporting and dedicated support. Credits equate to one AI response with top ups available for 1250 credits.
Users appreciate the intuitive interface for quick setup and detailed reports that inform content strategies. The tool excels in multi language support and real time sentiment benchmarking against competitors. Potential drawbacks involve credit limits constraining heavy testing and occasional delays in custom model requests. Compared to Peec AI, AthenaHQ provides broader platform integration though Peec AI offers stronger single model depth. A notable element is the citation intelligence feature which maps authoritative sources driving AI perceptions.
Advisory input from experts like Eli Schwartz enhances credibility in SEO to GEO transitions. Recent feedback highlights robust monitoring for mid market teams with 59 percent share of voice gains reported in case studies. The platform processes over three million generative answers from 300000 domains enabling precise optimizations.
Teams benefit from unlimited seats with role based access in all plans. Export options and Slack channels appear in higher tiers for collaboration.
Run an initial audit on key prompts to baseline visibility then schedule bi weekly competitor scans for sustained improvements.
Otterly.ai
👍 Pros
👎 Cons
- Actionable insights
- Easy monitoring
- Cross-engine coverage
- Competitor analysis
- Steep scaling costs
- Limited automation
Otterly AI is a platform designed to monitor and optimize brand visibility in AI generated search results across engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini. It tracks how brands appear in AI responses, analyzes citations, sentiment, and hallucinations. The tool uses daily monitoring of user defined prompts to provide data on performance trends. Key features include competitor comparisons and content optimization recommendations. Pricing follows a tiered model based on the number of prompts tracked, starting from a basic plan and scaling for larger needs.
Users set up custom prompts relevant to their brand or industry. The system runs these through multiple AI engines and compiles reports on visibility metrics. Sentiment analysis evaluates the tone of mentions, while hallucination detection identifies inaccuracies in AI outputs. This helps brands understand their representation in generative search. Compared to competitors such as Semrush and Profound, Otterly focuses specifically on AI search niches.
The dashboard presents data in visual formats for easy interpretation. Reports include citation rates, prompt performance, and benchmark data against rivals. Integration with existing SEO workflows is possible but limited. Brands can use insights to adjust content strategies for better AI alignment. The tool supports teams through shared access and customizable alerts.
Potential drawbacks include the cost increase with more prompts and a learning curve for new users. It excels in providing actionable AI specific data that general SEO tools overlook. Case studies show improvements in visibility after using its recommendations. The platform updates regularly to cover emerging AI engines.
To get started, identify key prompts, monitor initial results, and apply suggested optimizations. Focus on high impact areas like brand sentiment to see quick gains. Regularly review competitor data to maintain an edge in AI search landscapes.
Profound
👍 Pros
👎 Cons
- Powerful real-time AI visibility tracking across multiple engines
- Actionable content creation workflows for optimization
- Deep insights into citations and sentiment
- Enterprise-grade security and support
- Interface feels a bit clunky at times
- Geared more toward large enterprises
Profound is an enterprise platform that tracks and optimizes brand visibility in AI answer engines like ChatGPT, Perplexity, Claude, and Gemini. In that sense, it provides detailed insights into how often a brand gets mentioned in AI responses, which sources get cited, and the overall sentiment.
Answer Engine Insights forms the core. This feature monitors real user queries and shows exact AI answers that include the brand. It highlights citation patterns and helps identify why some content ranks higher.
Prompt Volumes tracks trending questions users ask AI tools. Brands use this to spot emerging topics early and measure their share of voice in those conversations.
Agent Analytics examines AI crawler behavior on websites. It reveals how bots access pages and attributes traffic from AI sources, aiding technical optimizations.
Shopping tools focus on product visibility in AI shopping features. They analyze responses, track retailers, and help improve placement for e-commerce brands.
Workflows enable creation of AI-optimized content. Templates for formats like listicles or comparisons guide the process, with built-in checkpoints for human oversight.
Profound offers enterprise-level security, including SOC 2 Type II compliance and SSO.
Compared to competitors, it provides deeper workflows than Peec AI, which focuses mainly on monitoring. It also outpaces Semrush‘s AI visibility add-ons in real-time data and optimization tools. Users report that the platform delivers cleaner, more actionable data than many alternatives.
Start by requesting the free AEO Report to assess your current AI visibility and identify quick wins.
Rankscale
👍 Pros
👎 Cons
- Deep citation and sentiment insights
- Multi-brand dashboard support
- Actionable audit recommendations
- Flexible credit-based pricing
- Credit system can limit heavy use
- Learning curve for advanced metrics
RankScale is a specialized platform for tracking and optimizing brand visibility in AI search engines like ChatGPT, Perplexity, Gemini, Claude, and others. It focuses on Generative Engine Optimization (GEO) by analyzing how AI generates answers and cites sources.
The tool runs custom search prompts across multiple AI models and collects detailed results. Users see visibility scores, average positions, detection rates, and trends over time through interactive charts. It supports monitoring multiple brands from a single dashboard.
Citation analysis shows which domains and pages AI references most frequently. Filters let you view data by category, region, or specific terms. Export options make it easy to share findings with teams or clients.
Sentiment tracking measures positive, neutral, and negative tones in AI responses. Word clouds highlight key phrases, and the tool distinguishes between citations from live web data and influences from training datasets.
Competitor benchmarking identifies unexpected rivals in AI results and compares KPIs such as visibility, rank, and citations. This helps users spot opportunities to outpace others.
Website audits evaluate AI readiness with a 0-100 score. They crawl pages, assess content structure, authority, and engagement, then provide specific optimization recommendations.
The platform uses a flexible credit-based pricing model, which suits teams with varying usage needs. It compares favorably to broader tools like Semrush or Writesonic, which offer AI features but less depth in citation and sentiment analysis.
Start by using the free visibility analysis to audit your site. Then set up tracking for your most important queries and review insights weekly. Apply the recommendations consistently to improve how AI engines perceive and cite your content.
How can AI help you get visibility in AI results?
AI plays a central role in shaping how brands appear in generative search and conversational platforms. Through AI visibility tools and GEO strategies, businesses can better understand how language models evaluate content and decide which sources to reference. Instead of focusing only on rankings, modern optimization emphasizes relevance, authority, and contextual understanding.
Here are the main ways AI can help you improve your visibility in AI-generated results:
- Monitor brand mentions across AI platforms
Track how often and where your brand appears in responses from ChatGPT, Perplexity, Google AI Overviews, Claude, and other generative engines. - Analyze high-impact prompts and queries
Identify the questions and prompts that trigger AI mentions of your brand or competitors. - Optimize content for GEO (Generative Engine Optimization)
Structure content using clear entities, relationships, and context so AI systems can easily interpret it. - Improve topical authority and trust signals
Strengthen credibility through consistent, expert-level content and reliable sources. - Benchmark against competitors
Compare your AI visibility performance with competitors to understand market positioning. - Identify missed visibility opportunities
Discover topics and intents where AI systems currently ignore your brand. - Enhance Answer Engine Optimization (AEO)
Optimize pages for direct AI answers, summaries, and recommendations. - Refine content strategy using AI insights
Use performance data to guide blogs, FAQs, and landing pages. - Adapt quickly to AI algorithm changes
Monitor shifts in citation patterns and recommendation behavior. - Build long-term generative search authority
Establish your brand as a trusted reference point through consistent GEO efforts.
As generative AI becomes a primary gateway to information, optimizing for AI visibility and GEO is no longer optional. Brands that invest early in these strategies will gain a long-term advantage in discoverability, trust, and digital influence.