Best Free LLM Visibility & AI SEO Tools (2026)

Perplexity is not an AI visibility tool. It is an AI search engine. But it is the most practical way to manually test your brand's AI visibility for free. Search for queries your customers would ask: 'best [your category] tools,' 'alternatives to [competitor],' '[your industry] recommendations.' If Perplexity mentions your brand, you have some AI visibility. If it does not, you know you have a problem. Perplexity cites its sources with numbered references, so you can see exactly which web pages informed its answer. This tells you what content AI models are pulling from when answering queries in your category. If a competitor appears in Perplexity's answer, click the citation to see why. Often it is a well-structured listicle, a Wikipedia section, or a Reddit thread. The free tier allows unlimited searches. Perplexity Pro ($20/month) adds more detailed answers and image generation, but the free version is sufficient for visibility testing. The main limitation is that Perplexity is one AI model. Visibility on Perplexity does not guarantee visibility on ChatGPT, Claude, or Google AI Overviews. Each model uses different training data and retrieval methods. Use Perplexity as a starting point, then cross-check with ChatGPT and Claude for a fuller picture.

• Source citations show exactly which web pages AI models reference when answering queries in your category
• Free unlimited searches mean you can test dozens of query variations without worrying about daily limits
• Real-time retrieval combines training data with live web results so visibility testing reflects current content
• Follow-up questions let you probe deeper into why certain brands appear and others do not
• The most widely used AI search engine after ChatGPT so visibility here correlates with broader AI presence

ChatGPT is the largest AI assistant by user base, which makes it the most important platform for brand visibility testing. The free tier (GPT-4o mini) is sufficient for testing. Ask the same category queries your customers would ask and note whether your brand appears. The key difference between ChatGPT and Perplexity is that ChatGPT blends training data with optional web browsing. When browsing is enabled, ChatGPT uses Bing results. This means your Bing rankings directly affect whether ChatGPT mentions your brand in real-time queries. When browsing is disabled, ChatGPT relies purely on training data, which includes web content crawled before the model's knowledge cutoff date. Test both modes. If your brand appears with browsing on but not off, your organic web presence is strong but your brand has not yet made it into the training data. If you appear with browsing off, your brand was mentioned frequently enough in authoritative sources to be encoded in the model weights. Document which queries mention your brand and which do not. Note the exact competitor brands mentioned. This creates a baseline you can retest after making improvements to your web presence, structured data, and authority signals.

• Largest AI user base means visibility here reaches the most potential customers discovering brands through AI
• Bing integration in browsing mode connects your search engine rankings directly to AI recommendation visibility
• Two testing modes (with and without browsing) help you distinguish between training data presence and real-time visibility
• Conversation format lets you ask follow-up questions about why certain brands are recommended over others
• Free tier is sufficient for visibility testing without needing a Plus subscription

Google AI Overviews appear at the top of search results for an increasing number of queries. These AI-generated summaries pull from indexed web pages and determine which brands get mentioned in Google's AI answers. Testing is straightforward: search for your target queries on Google and look for AI Overview boxes at the top of results. If your brand or content appears in the AI Overview, Google's AI considers you a relevant source. If not, competitors are getting that visibility. AI Overviews are not the same as featured snippets. Featured snippets extract text from one source. AI Overviews synthesize information from multiple sources and generate a new summary. Being cited in an AI Overview requires different optimization than ranking in traditional results. Structured data, clear answer formatting, and topical authority all influence inclusion. The most important factor is whether your content directly answers the query in a format AI can extract. Pages with clear headings, concise definitions, and structured lists get cited more often than long-form content that buries the answer. Track which queries in your industry trigger AI Overviews and whether your content appears. Google Search Console does not yet report AI Overview impressions separately, so manual testing is currently the only free option.

• AI Overviews appear on the platform where most search traffic still originates so visibility here has immediate impact
• No account or tool required: search your target queries on Google and check for AI Overview boxes at the top
• Reveals whether Google's AI model considers your content authoritative enough to cite in generated answers
• Testing across query variations shows which content formats (lists, definitions, comparisons) earn AI citations
• Identifies gaps between your traditional search rankings and your AI-generated answer visibility on the same queries

Semrush has added AI-related features to its established SEO platform. The AI Overview Tracking feature in Semrush's Position Tracking tool monitors whether your target keywords trigger Google AI Overviews and whether your domain is cited in those overviews. This is currently the most actionable AI visibility metric available in a traditional SEO platform. The free tier is limited to one project with 10 keywords, which is enough to test the feature but not sufficient for comprehensive monitoring. Semrush also provides content optimization recommendations through its SEO Writing Assistant and On-Page SEO Checker, both of which now factor in content structure and formatting that improves AI extractability. The ContentShake AI tool generates content drafts optimized for search, though the AI-generated output still needs significant human editing. For AI visibility specifically, Semrush's main value is the AI Overview tracking. Knowing which of your keywords trigger AI Overviews and whether you appear in them is data you cannot get from manual testing at scale. The paid plans ($139.95/mo and up) add full keyword tracking, competitive analysis, and site audit capabilities alongside the AI features.

• AI Overview Tracking monitors which keywords trigger Google AI Overviews and whether your domain appears in them
• Position Tracking combines traditional ranking data with AI Overview citation data in one dashboard
• SEO Writing Assistant recommends content structure improvements that help both search rankings and AI extractability
• Competitive analysis shows which competitors appear in AI Overviews for your target keywords
• Established platform with 10+ years of search data provides historical context that newer AI-only tools lack

HubSpot's SEO tools include AI-powered features for content strategy and topic cluster planning. The Content Strategy tool uses AI to identify topic clusters: groups of related content that establish topical authority around a core subject. Topical authority is one of the signals AI models use when deciding which brands to cite. If your site has a comprehensive content hub covering all aspects of a topic, AI models are more likely to reference your content than a site with one isolated blog post. The free CMS includes basic SEO recommendations and content performance tracking. The Marketing Hub Professional ($890/mo) adds the full Content Strategy tool, topic cluster recommendations, and content optimization suggestions. HubSpot is not an AI visibility tool. It is a marketing platform with SEO features that indirectly improve the signals AI models use. The topic cluster approach builds the kind of topical depth and internal linking structure that both search engines and AI models reward. For small teams already using HubSpot for marketing automation, the built-in SEO tools eliminate the need for a separate platform. For teams not on HubSpot, the SEO features alone do not justify the price when dedicated SEO tools like Semrush or Ahrefs cost less.

• Topic cluster planning builds the topical authority that AI models use when deciding which brands to cite in answers
• Content Strategy tool identifies content gaps and recommends related topics to strengthen your authority coverage
• Integrated with CRM and marketing automation so content performance ties directly to lead and customer data
• AI-powered content recommendations suggest which topics to cover next based on competitive gaps
• Blog and landing page editor includes on-page SEO checks during content creation, not as a separate audit step

Clearscope is a content optimization platform that grades how thoroughly your content covers a topic compared to top-ranking pages. Enter a target keyword and Clearscope analyzes the top search results to identify the terms, subtopics, and questions that comprehensive coverage requires. Your content receives a letter grade (A++ to F) based on how many of those terms it includes. This matters for AI visibility because AI models favor content that demonstrates comprehensive topical coverage. A page graded A+ on Clearscope covers the query more thoroughly than competitors, which makes it more likely to be cited in AI-generated answers. Clearscope does not have a free tier. Pricing starts at $170/mo for individual users. The tool is listed here because it directly addresses a core factor in AI visibility: content comprehensiveness. Clearscope works alongside existing workflows. Integrations with Google Docs and WordPress let writers optimize content during creation rather than auditing after publication. The tool also tracks content performance over time, showing whether optimization changes correlate with ranking improvements. For teams producing content at scale, Clearscope helps maintain consistent quality and topical depth across all published pages, which compounds the topical authority signals that AI models evaluate.

• Content grading system (A++ to F) provides a clear optimization target that correlates with search and AI visibility
• Competitor content analysis reveals exactly which terms and subtopics your content needs to cover for comprehensive topical coverage
• Google Docs and WordPress integrations let writers optimize during creation instead of running separate audits after publishing
• Content performance tracking over time shows whether optimization changes lead to actual ranking and traffic improvements
• Term-level recommendations are specific enough to act on immediately without needing SEO expertise to interpret