8 Best LLM Optimization Tools for AI Visibility in 2026
February 17, 2026
By
Irina Maltseva
If you're still measuring search performance by rankings and clicks alone, you're missing half the picture in 2026.
A growing share of discovery now happens inside AI-generated answers like ChatGPT, Perplexity, and Claude, where users get product recommendations without ever clicking through to a website. I've seen companies rank #1 on Google for their core terms but get completely shut out of AI answers, while smaller competitors with weaker SEO dominate AI recommendations.
SEO hasn't died. But traditional rank trackers and Google Analytics can't measure how AI models perceive your brand, which sources they trust, or how you stack up against competitors in AI-generated answers. You need different tools for that.
In this article, I've tested the top LLM optimization tools and ranked them based on real-world use, not marketing claims. You'll learn where you appear in AI answers, why you appear (or don't), and what to actually do about it.
TL;DR
Profound – Best overall LLM optimization platform with the broadest answer-engine coverage, competitive benchmarking, and actionable content optimization
Scrunch – Best for understanding which sources LLMs pull from and how you compare to competitors
Athena – Best for speed and getting actionable optimization recommendations in minutes
Omnia – Best for agentic content creation and automated placement in AI-cited sources
PromptWatch – Best for technical teams running prompt experiments and citation tracking
Brandlight – Best for PR and comms teams focused on brand reputation and narrative control
Conductor – Best for SEO teams extending existing workflows into AI visibility
Clearscope – Best for content-led teams optimizing for both traditional SEO and GEO
What to Consider When Selecting an LLM Optimization Platform?
After testing nearly a dozen AI visibility tools over the past few months, I've learned that most of them promise similar things but deliver wildly different experiences. Some give you data without direction. Others overwhelm you with features you'll never use. A few actually help you make decisions.
Here's what I'd focus on if I were choosing one today:
Multi-model coverage: You need to see the full picture, not just ChatGPT. Your brand might dominate in Perplexity but be invisible in Claude. I've seen this happen repeatedly, companies celebrate their ChatGPT visibility while completely missing that Gemini recommends their competitor instead. Track across ChatGPT, Gemini, Claude, and Perplexity at minimum.
Accuracy monitoring: Mentions mean nothing if the AI is getting your details wrong. I tested one client's brand and found that LLMs were citing outdated pricing, wrong features, and even attributing competitor capabilities to them. Go beyond simple mention counts, you need to catch when AI models misrepresent your brand.
Competitor benchmarking: This is non-negotiable for me. Seeing that you appear in 40% of relevant prompts sounds great until you realize your main competitor shows up in 80%. Visibility only makes sense in context. The tools that show side-by-side competitor comparisons across the same prompts are the ones that actually help you understand where you stand.
Sentiment analysis: Not all mentions help your brand. I've seen cases where brands get mentioned frequently but in negative contexts or alongside concerns. You need to know whether mentions position you positively, neutrally, or as a cautionary tale. Frequency without sentiment is half the story.
Actionable optimization: The gap between "here's your data" and "here's what to fix" separates useful tools from vanity dashboards. The best platforms don't just report that your visibility dropped, they tell you which content gaps to fill, which pages to optimize, or which sources to target for better citations.
The 8 Best AI Visibility & LLM Optimization Tools
I've tested dozens of AI visibility tools over the past few months, and honestly, a lot of them feel half-baked. Some deliver real insights. Others just wrap basic prompt tracking in a fancy dashboard and call it "optimization."
The eight tools below actually helped me understand visibility gaps and what to do about them. I'll walk you through what using each one is really like.
1. Profound - Best Overall AI Visibility Platform
Profound isn't just another AI monitoring tool, it's the first "read/write" platform for AI search, meaning you don't just track visibility, you actively optimize it in real-time. Backed by $35M from Sequoia Capital and trusted by over 2,000 marketers at Fortune 500 companies like Ramp, US Bank, Indeed, and MongoDB, the platform processes over 5 million citations daily and tracks your brand across ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Microsoft Copilot, and more. Some clients have seen 700% increases in AI referrals, with six-figure revenue generated directly from AI recommendations.
What sets Profound apart is the Conversation Explorer. It’s a breakthrough feature that reveals actual AI search volume data that was previously invisible to marketers. While other tools require you to guess which prompts to track, Profound shows you exactly which topics are being discussed across AI platforms and how often. Beyond tracking, it generates AI-optimized content with one click and provides optimization suggestions tied directly to tracked prompts.
Key Features
All-in-one LLM optimization platform for tracking brand visibility, competitors, and citations across major AI answer engines
The ‘Conversation Explorer’ feature tracks high-impact, realistic prompts
Detailed visibility into how AI bots interact with your site, including which pages they crawl and reference
Content Generation and Content Optimization features to create or refine pages specifically for LLM visibility
Optimization suggestions tied directly to tracked prompts and answer patterns, not just static scores
Broad answer-engine coverage
Hands-on onboarding with guided setup, regular check-ins, and a dedicated account manager for enterprise teams
Best for
Teams treating AI visibility as a strategic channel and need broad model coverage, competitive context, and prescriptive guidance.
Tracks visibility across the widest range of answer engines
Strong competitor benchmarking and citation analysis
Research-driven approach with transparent knowledge sharing
Actionable content generation and optimization features
Hands-on onboarding with dedicated account management
Cons:
Visibility is limited to tracked prompts
No free trial (demo only)
Pricing and prompt limits skew heavily toward enterprise teams
Pricing
Starter: $99/month;
Growth: $399/month;
Enterprise: Custom pricing;
Demo available.
2. Scrunch - Best for Brand-Level AI Answer Monitoring
Scrunch now serves over 500 brands monitoring their AI visibility. What makes Scrunch stand out is its obsessive focus on source explainability. It doesn't just tell you that your brand appeared in an AI answer, it shows you exactly which URLs the LLM pulled from, whether those are your own pages, third-party mentions, or competitor sites masquerading as neutral sources. Customers report an average 40% increase in referral traffic and up to 4x improvement in visibility after using the platform.
The real power is in how Scrunch breaks down citations. While most tools treat all mentions equally, Scrunch categorizes them as owned (your content), third-party (external sites mentioning you), or indirect (competitors appearing in your search territory). This makes it incredibly valuable for diagnosing why you're losing to competitors—maybe they're getting cited by higher-authority sources, or maybe AI models are pulling outdated pricing from a deprecated page on your site. Scrunch catches these gaps and gives you a clear path forward.
Key features
Highlights which sources LLMs are pulling from and how those sources stack up against competitors
Clean, approachable interface that helps non-technical teams understand AI visibility without deep LLM knowledge
Source-level breakdown of owned vs third-party vs indirect references
Short free trial with usage-based tiers so teams can test before scaling
Support for multi-model tracking and deeper reporting on higher plans
Best for
Teams starting their AI visibility efforts who need to understand how sources are being used and gain internal buy-in before investing in more complex optimization tools.
Pros:
Strong focus on explainability and source-level visibility
Clear breakdown of brand mentions and citations in AI answers
Easy for non-technical and content teams to understand
Useful for diagnosing early AI visibility gaps
Cons:
More observational than action-oriented
Limited optimization and content execution features
Narrower answer-engine coverage than enterprise platforms
3. Athena - Best for Speed and Actionable Recommendations
Athena analyzes over 3 million AI responses and maps them to 300,000+ citation sites, but what makes AthenaHQ stand out is speed—it scans your content and delivers precise optimization recommendations in minutes, not days. Companies like AutoRFP.ai report that over 30% of their inbound leads research with ChatGPT before booking demos, and AthenaHQ helps them influence that research by identifying new prompts and content opportunities.
Key features
Lightning-fast analysis that delivers optimization recommendations in minutes
Analyzes 3M+ real-world AI responses mapped to 300K+ citation sites
AI-powered recommendation engine that translates data into specific action items
Comprehensive monitoring across ChatGPT, Perplexity, Claude, Gemini, and more
Free instant demo available on their website
Best for
Marketing teams and agencies that need quick, actionable insights rather than deep data analysis, especially SaaS and ecommerce brands tracking AI-driven discovery.
Pros:
Fastest platform for getting actionable GEO recommendations
Founded by former Google Search and DeepMind experts
Strong focus on turning insights into specific optimization tasks
Time-saving automation frequently praised by users
Trusted by 80+ companies already using the platform
Cons:
Premium pricing geared toward larger teams
No free trial available (demo only)
Less depth for teams focused on heavy prompt experimentation
Pricing
Self-Serve: $295/month;
Enterprise: custom pricing;
No free trial, but instant demo available.
4. Omnia - Best for Agentic Content Creation and Placement
Omnia goes beyond monitoring to actually automate content creation and placement. The platform surfaces high-demand topics in AI assistants, monitors your positioning, reveals which sources AI engines cite, and then launches AI agents that create and place optimized content in those exact sources. Customers include Personio, ElevenLabs, Trade Republic, and Pleo.
Key features
Agentic automation that creates and places AI-optimized content automatically
Discovers high-demand topics relevant to your brand across AI assistants
Benchmarks brand performance against competitors in real-time
Reveals which sources AI engines cite and targets them for placement
Closes the loop from insights to action without manual content workflows
Best for
Marketing teams that want to move beyond dashboards to actual execution, especially SaaS and growth teams handling high content volumes.
Pros:
Only platform offering true agentic content creation with automated placement
Founded by experienced operators from Klarna, GitHub, and Fastly
Strong early traction with notable European tech companies
Moves beyond monitoring by automating the entire optimization workflow
Recently raised €3.5M to accelerate product development
Cons:
Newer platform (founded in 2024) with a shorter track record than established tools
Pricing is not publicly disclosed
Automation may require oversight for brand-sensitive or regulated content
Pricing
Growth: €79/month;
Pro: €279/month;
Enterprise: custom pricing.
5. PromptWatch - Best for Prompt-Level And Citation Tracking
PromptWatch is Amsterdam-based PromptWatch raised €1.2M from Arches Capital and built a platform specifically for technical teams who want raw data, not polished dashboards. Founded in 2025 by Gijs de Groot and Klaas Foppen, the platform has already tracked millions of citations and offers transparent prompt-response data that lets you see exactly how different prompts perform across multiple LLMs and which sources get cited for each answer.
Key Features
Strong prompt-level tracking across multiple LLMs
Detailed citation and source visibility for each response
Transparent, raw prompt–response data instead of abstract scores
Model-by-model comparison to spot response variance over time
Best For
Advanced, technical teams that treat AI visibility as an experimental discipline and want deep insight into prompt behavior and citation mechanics
Pros:
Strong prompt-level tracking
Detailed citation and source visibility
Transparent, raw prompt–response data instead of abstract visibility scores
Useful for experimentation, debugging, and hypothesis testing
Supports model-by-model comparison to spot response variance
Cons:
Requires clearly defined prompts upfront; limited value without a strong prompt strategy
Interface can feel dense when managing large prompt sets
Minimal guidance on what actions to take next
Not designed for high-level brand monitoring or exec reporting
Less accessible for non-technical or content-only teams
Business: $415/month (350 prompts, advanced integrations), all billed annually.
7-day free trial available.
6. Brandlight - Best for Brand Visibility
Brandlight is built specifically for PR and communications teams who need to control brand narrative across AI systems—tracking not just visibility, but sentiment, context, and which third-party sources are shaping how ChatGPT, Perplexity, and other AI engines describe your brand.
Key Features
Multi-brand, multi-region, multi-product monitoring from a single dashboard.
Comparative views to surface gaps in narrative dominance and citation authority.
Advanced citation filtering to see which third-party sources shape AI responses.
Reputation-focused analytics (sentiment, context, source impact, frequency) for PR and comms teams
Best for
Large enterprises, agencies, and PR or communications teams in regulated or high-stakes environments that need AI-driven reputation and narrative monitoring at scale.
Pros:
Deep brand mention, citation, and sentiment analysis across major AI answer engines
Strong focus on reputation and narrative monitoring, not just visibility counts
Enterprise-grade dashboards for multi-brand and multi-region oversight
Cons:
Enterprise-only pricing, out of reach for most SMBs
Limited public documentation and third-party reviews
Not designed for content execution or prompt experimentation
7. Conductor AI - Best hybrid SEO + AI visibility approach
Conductor merges SEO and AI visibility into a single workflow, letting teams monitor across ChatGPT, Perplexity, and Google's AI surfaces in a single unified platform. It's strongest for organizations already investing in SEO infrastructure who want to expand into AI discovery without starting over.
Key Features
Unified workflow combining SEO keywords, pages, competitors, and content ops with AI visibility tracking
AI-assisted content creation and optimization (including Creator) built directly into the insight-to-action loop
Monitor performance across both traditional search and AI answer engines without switching tools
Best For
Mature SEO teams already running structured programs who want to extend their strategy into AI search without rebuilding their workflows.
Pros:
Combines traditional SEO intelligence + AI visibility (ChatGPT/Perplexity + Google surfaces) in one workflow
Strong content intelligence + optimization tooling for teams running high-volume SEO programs
Mature, enterprise-grade platform with a large user base and support ecosystem
Cons:
Steeper learning curve if you’re not already running a structured SEO program
Pricing is custom/enterprise-oriented, and can be overkill for SMBs
More “hybrid SEO + AEO” than “GEO-native”; prompt-level experimentation is not the core strength
Pricing
Conductor does not publish fixed pricing and follows a flexible, enterprise-oriented model across its product suite (Creator, Intelligence, and Monitoring). Plans are structured around usage factors such as site size, content volume, tracking depth, and collaboration needs, with tiers ranging from Essentials through Enterprise.
8. Clearscope - Best for Content-led GEO
Clearscope is built for content and SEO teams that want seamless AI visibility integrated into their existing optimization workflow. It extends proven SEO content fundamentals to GEO, helping teams understand which content actually influences AI-generated answers and improving share of voice across both search and AI surfaces.
Key Features
Content Inventory integration with the AI Cited Pages view to show which content contributes to LLM visibility
Topic Exploration that moves beyond single-keyword optimization into topic clusters for broader concept coverage
AI Draft feature that handles different brand voices, content formats, and outline structures with minimal user complexity
Seamless workflow integration with existing Clearscope content optimization tools
Share-of-voice measurement for tracking brand presence across AI answers
Best For
Content-led SEO teams transitioning into GEO who want AI visibility without abandoning their existing optimization workflow or learning new tools.
Pros:
Established leader in SEO content optimization, now thoughtfully extended into GEO
Excellent for AI-driven content creation and topic-based optimization
Cons:
No support for custom prompt tracking
LLM visibility limited to ChatGPT, Gemini, and Perplexity
Choosing the Right LLM Tracking Tool for Your Team
The right tool depends on where you are now and what you need most:
Want comprehensive optimization? Profound combines the broadest answer-engine coverage with actionable content guidance and competitive benchmarking in one platform
Need quick, actionable insights? Athena delivers optimization recommendations in minutes, not days
Want automation? Omnia goes beyond monitoring to create and place AI-optimized content automatically
Need source-level insights? Scrunch shows which third-party sites influence AI answers
Running technical experiments? PromptWatch provides raw prompt-response data for testing
Focused on reputation? Brandlight offers sentiment analysis and PR-focused monitoring
Already invested in SEO? Conductor and Clearscope extend your existing workflows into AI visibility
Pick the tool that matches your starting point, but plan to graduate from passive observation to active optimization as AI answers become a bigger part of your discovery funnel.
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Irina is a Founder at ONSAAS, Growth Lead at Aura, and a SaaS marketing consultant. She helps companies to grow their revenue with SEO and inbound marketing. In her spare time, Irina entertains her cat Persie and collects airline miles.
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