9 Free AI SEO Tools to Boost Your AI Visibility in 2026

The AI search revolution is not waiting for small businesses to catch up. ChatGPT now reaches 2.8 billion monthly active users, Google AI Overviews appear in 47 percent of search results, and Perplexity processes over 780 million monthly queries. When customers ask these AI engines "best plumber in Winnipeg" or "top-rated accountant near me," the AI gives a direct answer naming specific businesses. If your business is not in that answer, you are invisible to a rapidly growing audience of high-intent buyers. The problem is that most AEO platforms charge 200 to 500 dollars per month before you can even check if AI engines know you exist. Profound starts at 399 dollars per month. Otterly AI ranges from 29 to 489 dollars. LLMrefs charges 79 dollars per month.

• AI Brand Search — check if AI mentions you
• AI Citations Checker — verify citation URLs
• Schema Generator — create JSON-LD markup
• AI Readiness Grader — 9-factor technical audit
• llms.txt Generator — create AI discovery file
• Prompt Optimizer — improve search prompts
• AI Search Share — brand vs competitor mentions
• Crawlability Checker — verify bot access
• Sitemap Health Check — validate sitemap

The cost gap in AI visibility tools

For a local dentist, restaurant, or service company, these prices create a dangerous blind spot: you cannot afford to monitor your AI visibility, so you assume everything is fine — until you notice customers going to competitors and you have no idea why. This is the gap LunimRank was built to close. LunimRank now offers 17 free tools that require no account, no credit card, and no commitment. Each tool targets a specific aspect of AI readiness so you can identify gaps and fix them immediately. The philosophy is simple: every business deserves to know whether AI engines are recommending them, regardless of budget. Free tools are not charity — they are the entry point to understanding a channel that will determine which businesses thrive and which fade into irrelevance. According to HubSpot, AI-referred visitors convert at 14.2 percent compared to 2.8 percent for Google organic traffic, a 4.4x improvement. That means even a small number of AI referrals can meaningfully impact your revenue. But you cannot optimize what you cannot see. Free tools give you that visibility baseline — the starting point for every improvement that follows.

LunimRank offers 17 free tools organized around the core pillars of AI visibility. Each tool addresses a specific question a business owner might have, from "do AI engines know I exist?" to "what exactly should I fix on my website?" The tools are designed to be used individually or as a complete diagnostic workflow. Here is a quick overview of every tool available. The AI Brand Search tool queries live AI engines with real industry prompts to check if your brand appears in responses. The AI Citations Checker verifies whether AI engines include your website URL when discussing your industry. The AI Search Share tool measures your brand mentions versus competitors across AI engines. The AI Readiness Grader checks 9 technical factors and gives you a letter grade with specific fix recommendations. The Schema Generator creates JSON-LD structured data for your business type.

Prompt optimization and competitive analysis

The Prompt Optimizer scores your AI search prompts and suggests improvements. The llms.txt Generator creates a structured file that tells AI engines what your business is and does. The robots.txt Checker verifies whether your robots.txt file allows or blocks AI crawlers. The AI Sentiment Analyzer checks how AI engines describe your brand — positive, neutral, or negative. The Competitor Comparison tool shows how your AI visibility stacks up against specific competitors. The FAQ Generator creates AI-optimized FAQ content based on your industry. The Content Gap Analyzer identifies topics your competitors cover that you do not. The Citation Consistency Checker audits your NAP across directories. The Review Analyzer examines your review profile for AI visibility signals. The Schema Validator tests your existing schema markup for errors. The Local SEO Grader assesses your local search readiness. And the AI Visibility Report generates a comprehensive one-page summary of your AI presence. No other platform offers this breadth of free tooling. Otterly AI provides 14-plus free tools, making them the closest competitor in the free tools space, but LunimRank\'s tools are specifically designed for the SMB use case with plain-language explanations and immediate action items.

The AI Brand Search tool is usually the first tool businesses use because it answers the most fundamental question: do AI engines know I exist? Enter your brand name and industry, and the tool runs live queries against ChatGPT and Gemini. Within seconds, you see exactly which engines mention your business and which do not. This is not a simulated result or a cached response. The tool queries live AI engine APIs in real time, so you see exactly what a real customer would see if they asked the same question right now. The results often surprise business owners. Many assume that because they rank well on Google, AI engines must also recommend them. That assumption is frequently wrong. AI engines draw from different data sources than Google\'s traditional search algorithm. ChatGPT pulls heavily from training data and real-time browsing.

According to First Page Sage, over

According to First Page Sage, over 70 percent of local business results in ChatGPT come from Foursquare data. If your business is not listed in Foursquare\'s Places database, ChatGPT may not know you exist at all. The AI Brand Search results also reveal how AI engines describe your business when they do mention you. Do they accurately represent your services? Do they mention your key differentiators? Or do they give a vague, generic description that could apply to any competitor? The accuracy of AI descriptions matters because customers trust what the AI says. If ChatGPT tells someone you specialize in commercial plumbing when you actually focus on residential, you may attract the wrong customers or lose the right ones. After running an AI Brand Search, you have a clear baseline: which engines mention you, what they say, and what they get wrong. That baseline is the foundation for every optimization that follows. If the results are disappointing, do not panic. Most businesses score poorly on their first check because AI visibility optimization is so new that very few companies have done any work in this area. The good news is that the bar is still low, which means small improvements can have outsized impact.

Being mentioned by an AI engine is good. Being cited with a link to your website is significantly better. A mention means the AI knows you exist. A citation means the AI trusts your content enough to direct users to your website — and that trust translates directly into high-quality traffic. The AI Citations Checker verifies whether AI engines include your website URL when discussing your industry. It runs queries across multiple engines and specifically looks for your domain in the response. The distinction between mentions and citations matters for a practical reason: 93 percent of AI search sessions end without a website click. When an AI does include a link, users are much more likely to click it because the AI has already pre-qualified the recommendation. That click carries far more intent than a typical organic search click.

Why citations matter for AI traffic

Businesses with strong citations in AI responses report that these visitors convert at dramatically higher rates. HubSpot\'s data shows AI visitors convert at 14.2 percent versus 2.8 percent for Google organic, a 4.4x improvement. That means a single AI citation driving 10 visitors per week could generate more conversions than 100 traditional organic visitors. What drives AI citations versus mere mentions? Several factors consistently matter. First, your website needs high-quality, original content that directly answers the questions customers ask. AI engines cite sources that provide authoritative, specific answers — not generic marketing copy. Second, your content needs to be technically accessible. If your robots.txt blocks AI crawlers like GPTBot, ClaudeBot, or PerplexityBot, those engines cannot access your content to cite it. Third, structured data helps. Websites with proper schema markup and an llms.txt file give AI engines machine-readable context that increases citation probability. Fourth, your domain\'s overall authority matters. AI engines are more likely to cite websites that are referenced by other authoritative sources. Use the AI Citations Checker alongside the AI Brand Search to understand the full picture: where you are mentioned, where you are cited, and where you are completely invisible. Then use LunimRank\'s other free tools to address the specific gaps.

Schema markup is the structured data language that AI engines use to understand your business at a glance. While humans read your website visually, AI engines parse the underlying code. JSON-LD schema tells AI exactly what your business is, what you offer, where you are located, and how to contact you. Businesses with proper schema markup are significantly more likely to appear in AI-generated answers because the AI can extract precise, structured facts without guessing. LunimRank\'s free Schema Generator creates JSON-LD markup tailored to your specific business type. Select from categories including Restaurant, Dentist, Plumber, Law Firm, Software Company, Professional Service, and more. Fill in your business details — name, address, phone, hours, services, price range — and the generator produces properly formatted JSON-LD code ready to paste into your website\'s HTML head section. The generator handles the technical complexity that trips up most business owners.

How schema validation prevents penalties

It ensures required properties are included, dates and times are in the correct ISO format, geographic coordinates are properly formatted, and nested objects like address and opening hours follow the schema.org specification. Common mistakes that cause schema validation errors — missing required fields, invalid date formats, incorrect nesting — are eliminated automatically. One critical warning backed by research: according to White Hat SEO, empty or generic schema markup can actually result in an 18 percent citation penalty compared to having no schema at all. This means adding placeholder schema with incomplete information is actively harmful. The Schema Generator avoids this trap by requiring you to fill in real data before generating the code. Every field in the generated schema contains your actual business information, not generic placeholders. After generating your schema, the tool provides implementation instructions for major website platforms including WordPress, Squarespace, Wix, and custom HTML sites. For WordPress users, you can paste the code directly into your theme\'s header or use a plugin like Insert Headers and Footers. For Squarespace and Wix, the tool provides platform-specific instructions for adding custom code. After implementation, validate your schema using the complementary Schema Validator tool or Google\'s Rich Results Test to confirm everything is correctly formatted.

The AI Readiness Grader performs a comprehensive technical audit of your website against the 9 factors that AI engines evaluate before deciding whether to recommend your business. It produces a letter grade from A to F along with specific findings and fix recommendations for each factor. Think of it as a technical report card that tells you exactly where your website passes and where it fails AI visibility requirements. The 9 factors evaluated are SSL certificate presence, robots.txt AI bot access, llms.txt file presence, schema markup implementation, FAQ section quality, meta description completeness, heading structure hierarchy, content depth, and overall mobile responsiveness. Each factor is weighted by its impact on AI visibility, with robots.txt and schema markup carrying the highest weights because they directly determine whether AI engines can access and understand your content. The grading results consistently reveal patterns.

What your AI readiness grade means

Most businesses score a C or D on their first check. The most common failure is blocking AI crawlers in robots.txt. Many websites were configured years ago to block bots that are now used by major AI engines. GPTBot, ClaudeBot, PerplexityBot, and GoogleOther are frequently blocked by default in older robots.txt files. Use LunimRank\'s free Crawlability Checker alongside the Grader to test your robots.txt against 15 known AI bots. The second most common failure is missing schema markup. Approximately 70 percent of small business websites have no structured data at all, which means AI engines must guess what the business is and does based on unstructured page content. The third most common failure is thin content — pages with fewer than 300 words that provide insufficient depth for AI engines to cite with confidence. The fastest path from grade D to grade B involves three changes that cost nothing: add or update SSL (free with most modern hosting), update robots.txt to allow AI bots, and add an llms.txt file using the free generator. These three changes alone can improve your grade by two full levels. To reach grade A, you need schema markup on every page, comprehensive FAQ sections for each service, and at least 500 words of unique, answer-ready content per page. The Grader re-evaluates your site each time you run it, so you can track your progress as you implement improvements.

The Prompt Optimizer and AI Search Share tools address the competitive dimension of AI visibility. Knowing your own score matters, but understanding how you compare to competitors — and why — is what drives strategic action. The Prompt Optimizer analyzes the search prompts most relevant to your business and scores them on factors that influence AI response quality. Enter a prompt like "best Italian restaurant in downtown Vancouver" and the tool evaluates clarity, specificity, commercial intent, and geographic relevance. It then suggests optimized versions of the prompt that are more likely to surface your business in AI responses. This helps you understand the exact language customers use when asking AI engines for recommendations, so you can create content that matches those queries. The AI Search Share tool takes a different angle.

Measuring your share of AI voice

It measures your brand\'s share of AI mentions compared to specific competitors. Enter your brand name, your competitors\'s names, and your industry, and the tool queries AI engines to see how frequently each brand appears in relevant responses. The results show your relative visibility: if your competitor appears in 60 percent of relevant AI responses and you appear in 15 percent, you know exactly how large the gap is. This competitive framing is important because AI visibility is inherently relative. A score of 40 out of 100 might be excellent if your top competitor scores 25, or it might be dire if they score 80. Without competitive context, your score is just a number. With it, your score becomes a strategic benchmark that tells you whether you are winning or losing in AI search. Together, these two tools give you a competitive intelligence baseline. You know which queries matter, how your visibility compares to competitors on those queries, and which specific improvements would close the gap. This information is typically locked behind paid enterprise tools costing hundreds per month. LunimRank provides it free because understanding the competitive landscape is a prerequisite for taking effective action — and effective action is what drives businesses to upgrade when they are ready.

Understanding your AI visibility gaps is the first step. Fixing them is what actually moves the needle. The Content Gap Analyzer and FAQ Generator are the two free tools that bridge the gap between diagnosis and action. The Content Gap Analyzer examines your website content alongside your competitors\'s content to identify topics and questions they cover that you do not. This matters because AI engines synthesize information from multiple sources, and businesses with broader, deeper content coverage are more likely to be cited. If your competitor has a detailed page about "emergency plumbing repair costs" and you do not, the AI will cite them when a customer asks about emergency plumbing pricing. The analyzer shows you exactly which content gaps exist and prioritizes them by search intent and commercial value.

Turning content gaps into FAQ content

The FAQ Generator takes the content gap analysis a step further by producing ready-to-publish FAQ content based on your industry and location. AI engines heavily favor FAQ-formatted content because it directly matches the question-and-answer format they use to generate responses. According to CXL, FAQ content is one of the most frequently cited content types in AI-generated answers. The generator produces FAQs structured with proper headings, concise authoritative answers, and the schema markup needed to make them machine-readable. You can copy the generated FAQ content and paste it directly onto your website. Each FAQ entry is written in the natural language your customers actually use, not in marketing jargon or technical terminology. The answers are specific enough to demonstrate expertise without being so long that they bury the key information. This is the sweet spot for AI citation: concise, authoritative, and directly responsive to a real customer question. The combination of identifying gaps and generating content to fill them creates a powerful workflow. Run the Content Gap Analyzer to see what you are missing. Use the FAQ Generator to create content for the highest-priority gaps. Implement the content on your website. Then re-run your AI Readiness Grader to verify the improvement. This cycle of diagnose, create, implement, and verify is the core loop of effective AEO.

LunimRank\'s 17 free tools are purpose-built for AI visibility, but they work even better alongside the free tools that Google and Microsoft provide. Together, they give you a complete picture of your online presence across both traditional and AI search. Google Search Console is essential for understanding how Google sees your website. It shows you which queries drive traffic, which pages are indexed, and whether Google has detected any technical issues with your site. Critically, it also shows you schema markup errors through the Enhancements tab. If your JSON-LD has missing required properties, invalid formats, or other issues, Search Console will flag them. Use it alongside LunimRank\'s Schema Validator to ensure your structured data is error-free for both Google and AI engines. Bing Webmaster Tools serves a similar purpose for Microsoft\'s search ecosystem, which feeds into Copilot\'s AI recommendations. Bing\'s webmaster tools include a site scanner, URL submission tool, and SEO analyzer.

Leveraging free external SEO tools

Since Microsoft Copilot draws from Bing\'s index, ensuring your website is properly indexed and error-free in Bing directly impacts your visibility in Copilot\'s recommendations. Google\'s PageSpeed Insights analyzes your website\'s loading performance on both mobile and desktop. While page speed is primarily an SEO factor, it also affects AI visibility indirectly. AI engines prefer to cite websites that provide good user experiences. A website that loads in 1.5 seconds is more likely to be cited than one that takes 8 seconds because the AI considers user experience when making recommendations. The Schema.org Validator at validator.schema.org provides the most detailed validation of your structured data against the full schema.org specification. It catches issues that Google\'s Rich Results Test might miss, including deprecated properties and recommended versus required field distinctions. Use it as the final check after generating schema with LunimRank\'s free generator. These external tools complement LunimRank\'s free tools by covering the traditional search foundation that AI visibility builds on. A strong Google Search Console profile, clean Bing indexation, fast page load times, and valid schema markup create the technical foundation that makes all your AI-specific optimizations more effective.

With 17 free tools available, the question is not which tool to use but which order to use them in. Here is the recommended workflow for a business that has never checked its AI visibility before. Start with the AI Brand Search. This answers the most basic question: do AI engines know you exist? If the answer is no, you have a clear starting point. If the answer is yes, you need to understand the quality of those mentions. Next, run the AI Readiness Grader. This gives you a technical report card that identifies the fastest wins. Most businesses can improve their grade by two levels with three changes: fix robots.txt, add SSL, and create an llms.txt file. Then use the Schema Generator to create JSON-LD markup for your business. This is the single highest-impact technical optimization for AI visibility. Follow it with the Schema Validator to confirm everything is correct.

When to upgrade from free to paid tools

After that, run the Content Gap Analyzer to see what topics your competitors cover that you do not. Use the FAQ Generator to create content for the top gaps. This content directly improves your AI citation probability. Finally, use the AI Search Share tool to see how your visibility compares to specific competitors. This gives you competitive context that turns your individual scores into strategic intelligence. The entire workflow takes about 30 minutes and costs nothing. By the end, you have a complete picture of your AI visibility, a list of specific improvements to make, and generated content ready to implement. When should you upgrade to a paid plan? The right time is when you have implemented the basic optimizations and want to track whether they are working. A paid plan adds automated weekly monitoring, trend tracking, and ongoing recommendations that adapt to your changing visibility profile. LunimRank\'s Starter plan at 39 dollars per month costs less than a single Google Ads click in many industries, and it monitors your AI visibility across 3 engines with weekly scans and competitor benchmarking. For businesses that need to track multiple locations or want broader engine coverage, the Growth plan at 79 dollars per month covers 3 businesses across 5 engines. Run a free scan at lunimrank.com to start your AI visibility journey today.