If you asked a question inside ChatGPT or Gemini recently, you might have noticed something interesting. Brands and websites started showing up right in the answer, not just as links down the page. That’s the new world of search, powered by large language models (LLMs) and a growing set of AI search engines that sit on top of traditional search engines.

As the founder of AIclicks.io, I’ve seen this wave coming up close. Traditional SEO platforms haven’t just added a shiny “AI” button. The best LLM SEO analysis tool now focuses directly on how brands show up in answers, prompt recommendations, and AI-generated citations inside AI search results.

You know what the actual story is here? Regular SEO won’t cut it in 2025 if you want your brand to show up inside conversational search and instant answers. The best LLM SEO analysis tools help marketers, agencies, and teams see exactly where they stand in these new environments and what needs fixing.

In this guide, I’ll walk through the top tools for measuring, optimizing, and expanding your visibility in AI search. I’ll share comparisons, practical tips, and ways brands are using these AI tools to stay ahead and protect overall search visibility.

6 Best LLM SEO Analysis Tools in 2025

Best LLM SEO Analysis Tools in 2025 - Practical Review

Below you will find my simplified practical review of the top LLM SEO analysis tools in 2025.

1. AIclicks: Leading the Pack for LLM SEO Analysis

AIclicks is the top platform designed specifically for tracking and improving brand visibility within AI-generated answers across major AI search engines such as ChatGPT and Perplexity. Unlike traditional SEO tools, AIclicks focuses on how often your brand is cited and how it performs in AI responses, providing a unique own tool built from the ground up for LLM visibility and AI SEO.

It combines technical audits, competitor benchmarking, and AI writer capabilities into a unified dashboard, making it ideal for SEO agencies, in-house marketing teams, and SaaS companies aiming to dominate AI search.

Strengths

• AI Visibility Dashboard: See at a glance how often your brand is mentioned inside top AI-generated answers for your most valuable prompts, across models and AI search engines, so you can protect your brand presence.

• Geo & LLM Audit: Run audits to check visibility in ChatGPT, Perplexity, Google’s AI experiences, and others. Compare by region or language and see which major AI search engines prefer your content.

• Prompt-Level Analytics: Build clusters around real commercial topics, then track visibility, mentions, and citations per prompt for laser-focused improvement, almost like an AI search performance panel.

• Citation & Source Tracking: Uncover which URLs and sources language models reference most often, pinpoint your competition or spot partners to win citations from, and use that to track brand mentions over time.

• Competitor Benchmarking: Ranking isn’t just about where you stand, but who’s ahead—track competitor mentions and citations to inform your strategy and monitor share of voice inside AI-generated responses.

• Actionable Recommendations: From “add an LLMs.txt file” to “create a simple FAQ hub,” the platform tells you what to fix next, with impact tags and clear key features that matter in AI-driven search.

• AI-Optimized Content Creation: Use built-in workflows or an AI writer to generate answer-friendly drafts, guides, and blog posts in your brand tone, complete with headings, lists, and suggestions to create optimized content that LLMs can easily lift.

Considerations

• Pricing details are custom and may vary based on usage and team size

• Best suited for teams focused on AI search visibility rather than classic SEO alone

Suitable Use Cases

• Brands wanting to monitor and improve citations in ChatGPT and Perplexity

• SEO teams integrating AI SEO into product-led workflows

• Agencies managing multiple clients’ AI search presence

Pricing

• Custom pricing based on features and scale; contact AIclicks for details

• Offers integration with existing SEO tools like Ahrefs and Semrush for a holistic approach

2. Profound

A specialist for large brands and national campaigns, Profound focuses on perception rather than just rank, showing how your brand is interpreted by multiple LLMs at scale. It is great for enterprise teams who want deeper sentiment analysis and AI engine comparison. The feature set is built for CMOs and strategy leads, and most deployments come with custom pricing and implementation.

Strengths

• Deep sentiment analysis across AI search engines

• Enterprise-grade customization and implementation

• Strong focus on brand perception rather than just rankings

Considerations

• Pricing is custom and generally suited for large organizations

• Less focused on content creation or prompt-level optimization

Suitable Use Cases

• CMOs and strategy leads needing AI-driven brand perception insights

• Large brands running national or global campaigns

Pricing

• Custom enterprise pricing

3. Eldil AI

For agencies that want to audit how prompts and citations flow inside LLMs. Eldil AI digs into prompt structure and source frequency, offering diagnostics but not full SEO content execution. Useful for competitive research and generative engine optimization experiments, but you’ll need other SEO tools to handle content fixes.

Strengths

• In-depth prompt and citation diagnostics

• Useful for competitive research and AI prompt experiments

Considerations

• Requires complementary SEO tools for content fixes and execution

• Not designed for content creation or broad AI visibility tracking

Suitable Use Cases

• Agencies focused on prompt engineering and citation analysis

• Teams experimenting with generative AI optimization

Pricing

• Pricing details available upon request

4. Rank Prompt

The most visible feature? Prompt-level AEO tracking and optimization. Rank Prompt lets you map clusters, experiment with schema, and push prompt injections to “teach” LLMs about your brand. Best suited for power users wanting hands-on prompt management and fine-grained AI search toolkit controls.

Strengths

• Advanced prompt management and optimization toolkit

• Enables direct interaction with AI prompt structures

Considerations

• Best for power users with deep AI search expertise

• Less suited for teams wanting automated insights or content creation

Suitable Use Cases

• SEO professionals managing prompt strategies

• Teams wanting fine-grained control over AI search signals

Pricing

• Pricing available on inquiry

5. Peec AI

Affordable for small and medium-sized companies. Peec AI delivers visual dashboards, multi-model tracking, and instant alerts on ranking changes across chatbot engines. It includes source citation analysis and basic AI monitoring, making it useful for identifying gaps before competitors do.

Peec AI is an affordable option for small to medium businesses, offering visual dashboards, multi-model tracking, and instant alerts on ranking changes across chatbot engines.

Strengths

• Cost-effective for SMBs

• Basic AI monitoring and source citation analysis

• User-friendly dashboards

Considerations

• Limited advanced features compared to enterprise tools

• Focused more on monitoring than content optimization

Suitable Use Cases

• SMBs starting AI SEO tracking

• Teams needing quick alerts on AI ranking shifts

Pricing

• Competitive pricing tiers for SMBs

6. Semrush One

Semrush One extends its traditional SEO toolkit with AI-powered features, including AI model tracking and AI content workflows. It remains a robust platform for keyword research, backlink audits, and technical SEO while integrating AI visibility capabilities.

Strengths

• Comprehensive traditional SEO features with AI enhancements

• AI model tracking integrated into familiar workflows

• Strong backlink and keyword research tools

Considerations

• AI features are add-ons rather than the core focus

• May not provide deep LLM-specific visibility or citation tracking

Suitable Use Cases

• Teams wanting a combined traditional SEO and AI model tracking tool

• Users familiar with Semrush’s ecosystem looking to extend into AI SEO

Pricing

• Subscription-based pricing starting at mid-tier plans

Why LLM SEO Analysis Is Changing The Game

Picture this: A person asks ChatGPT, “Where can I buy comfortable running shoes?” The answer doesn’t just list sites; it may pull quotes from brand blogs, mention trusted review directories, or link straight to a product page. In other words, AI-generated search results are increasingly acting like a new type of search results page, and your brand’s AI presence in those answers directly impacts conversions.

The traditional rules, such as chasing keyword ranks, fiddling with meta tags, and tweaking technical SEO once a quarter, aren’t enough. Now, prompt optimization and AI visibility tracking matter just as much, if not more, than small on-page SEO tweaks inside your usual SEO toolkit.

So, what makes LLM SEO unique? A few things:

• Prompt-Driven Results: LLM answers are built on user prompts, not just keyword searches, so you’re optimizing for how people express search intent in natural language.

• Citation-Based Trust: AI models cite sites they trust more often. If you’re missing from their “source list,” you’re invisible, even if your Google rankings look healthy in traditional SEO tools.

• Dynamic Mention Tracking: Winning a spot inside the answer means tracking brand mentions, citations, and prompt-level performance, week by week, across multiple AI platforms.

• Answer Engine Optimization (AEO): It’s not enough to optimize for the “10 blue links.” Now, you have to structure content and landing pages to be easy for AI to “lift” and include inside its answer. For a deep dive, check our guide on AEO vs SEO: Key Differences and Proven Optimization, and how it relates to generative engine optimization in practice.

How LLM SEO Tools Work: Workflow in Practice

Mapping prompts to revenue is where these platforms shine. Instead of just one-off “keywords,” you’ll want to group related prompts (“best CRM,” “top small business CRM,” “CRM for freelancers”) by topic clusters that match commercial goals. Then, track not just your overall visibility but visibility per cluster, so you know where wins are repeatable and where search intent is still poorly served.

Key workflow steps:

• Instrument your site: Maintain AI referrer segments in GA4 and Google Analytics (see our post on how to track AI traffic in Google Analytics (GA4), and use dashboards to see prompt-level, brand-position, and citation trends. Tie this into Google Search Console, so you keep sight of classic search results at the same time.

• Fix access: Allow AI crawlers, confirm server-side rendering so models can fetch real content, not just snippets. This affects both AI-generated answers and AI-generated search results.

• Build the right IA: Pair transactional pages (your “money” pages) with deep informational guides and collections. Funnel internal links for authority and stronger brand presence in AI responses.

• Engineer “liftable” content: Use answer-first intros, bullet points, clean sectional headings, and tables—because LLMs prefer structured, easy-to-digest info. That structure also helps traditional search engines and supports rank tracking across Google search.

• Win in external coverage: Stay active in reviews, directories, listicles, and real forum conversations (especially Reddit), as these get cited often by AI; they boost your brand’s AI presence and brand's AI presence beyond your own domain.

• Monitor weekly: Scan dashboards, check brand positions, review new citations, and ship quick fixes; this is where in-house marketing teams and SEO agencies can use AI monitoring to stay ahead.

Key Features to Prioritize in 2025

To stay ahead, look for SEO software with:

• Multi-engine visibility: Track ChatGPT and Perplexity, Claude, Gemini, Meta AI, Bing, Google AI Overviews, and other AI overviews in the same place.

• Real-time citation intelligence: See which sources LLMs cite, and how often, to inform outreach and content quality improvements.

• Prompt cluster analytics: Focus on winning whole topics, not just micro-keywords, to maximize search visibility and AI search performance.

• Actionable gaps: Find spots where you’re missing from answers—and get advice for plugging the gaps, whether via new AI content or classic on-page SEO work.

• Technical accessibility checks: The platform should scan for SSR, bot access, schema, XML sitemaps, and crawlable content as part of a technical SEO checklist.

• True benchmarking: Know who your real competitors are in each engine—track share of voice and adjust quickly.

• Product-led integrations: Connect with your content ops, split monitoring by team or product, and export reports on demand, so AI search results become a regular part of your reporting rhythm.

Product-Led SEO & Liftable Content

You need content that LLMs want to “lift” into their answers. This means:

• Start with direct, answer-first intros (2–3 sentences answering the main query).

• Use one idea per section, with clean H2 or H3 headings.

• Build tables and lists for "best X" queries—they’re lifted more in AI answers and AI-generated responses.

• Use schema where it adds info clarity. Avoid spam.

• Place reference blocks or citations high on the page.

• Share authentic reviews and take part in third-party roundups (directories, forums).

These steps matter. In our own tests at AIclicks, content using these patterns saw higher “inclusion rates” inside AI-generated content from Perplexity and ChatGPT, compared to regular blog posts, and helped create optimized content that also performed well in Google rankings.

Choosing Your Best-Fit LLM SEO Tool

Here’s how to decide:

• Agency or brand size: Most platforms scale by number of tracked prompts or sites, but some (like Profound) focus on enterprise use. AIclicks and Rank Prompt fit SMBs, agencies, or SaaS teams, while large enterprises might also consider Profound or Semrush One as part of their paid plan stack.

• Workflow needs: If you want classic SEO tools plus LLM features, look at Semrush, Surfer, Se Ranking, or Scrunch AI. If pure AI visibility tracking is the goal, try AIclicks, Rank Prompt, or Peec AI as your main AI visibility toolkit.

• Pricing vs. features: Watch for pro features like geo audits, citation lists, and real-time dashboards before committing; check how each platform handles custom pricing and extra seats.

• Integration: Your best tool should plug into GA4, your reporting dashboards, and your content pipeline so SEO agencies and internal teams aren’t copy-pasting between tools.

Tools, Trends & Next Steps

LLM SEO analysis is now essential for anyone serious about brand or campaign visibility. The stakes have jumped: instead of competing for traffic in Google’s link lists, you’re competing for attention in the answers themselves, across chat experiences, AI overviews, and conversational interfaces.

The best tools in 2025 will help you:

• Track AI visibility and brand mentions across top engines and multiple AI platforms.

• Optimize content and technical signals for “liftability” in AI answers and AI-generated search results.

• Benchmark competitors and spot actionable gaps weekly.

• Pair measurement and execution for product-led growth and higher content quality overall.

Don’t wait until your competitors already dominate conversational search. Choose a solution that fits your size and workflow, map prompts to revenue, and adopt measurement plus content updates as weekly habits.

We built AIclicks.io because brands need to be seen where the real answers happen, in AI models and chat environments. If you want your site, product, or service to be included when users ask, start with an answer-first structure and prompt-level tracking. AI search isn’t the future; it’s already here.

FAQs

Can ChatGPT do SEO?  

ChatGPT can support SEO by helping with keyword research, meta tag generation, and content ideas. It’s useful for schema markup and finding outreach opportunities.

Is SEO still worth it with AI?  

Yes, if you adapt. SEO is still a core part of digital marketing, though the rules now include “optimizing for LLMs.” You’re not just optimizing for Google search anymore; you’re tuning for how AI responses are generated and where your brand appears across engines.

Can AI do SEO optimization?

According to industry reports, a large share of businesses already use AI content and AI-powered SEO tools for content marketing and SEO. AI handles tasks like content generation and audits, but human strategy still counts, especially when aligning AI search performance with business goals.

How accurate is AI for SEO?  

Many AI SEO tools can over-optimize, stuffing keywords and losing the human touch. This can hurt user engagement and rankings if not managed wisely. Use AI to speed up workflows, but keep humans in the loop to maintain nuance and brand voice.

What is the AI equivalent of SEO?  

You could call it “SEO for AI” or generative engine optimization, which uses data and AI to influence how large language models surface your brand in AI-generated answers. Unlike classic SEO, it focuses heavily on prompts, context, and being cited across AI responses, not just where you rank in blue-link search results.