SEO now has two jobs: ranking in Google's classic results and getting cited inside AI answers. This page covers both — the AI SEO tools that research keywords, brief writers, and audit sites, and the newer AI search optimisation and visibility monitors that track how often ChatGPT, Perplexity, and AI Overviews mention you.
Live usage-based rankings of LLMs across the OpenRouter platform
Build SEO-optimized blog articles and landing pages with AI fast
Neural search engine that finds content based on meaning, not keywords
Plan and optimize content strategy with AI-driven topic intelligence
Fast AI search for exploratory research without the noise
Discover the best SaaS tools
Free directory of 500+ curated AI tools for writing, coding, image generation, video, audio and more.
Microsoft's AI-enhanced search engine powered by GPT-4
Search and synthesize findings directly from scientific research
See ChatGPT answers displayed alongside Google and Bing results
Build and deploy AI agent workflows with your own data sources
AI search that retrieves information across all your work apps
AI-powered answer engine that cites real-time web sources
AI research assistant specialized in climate and sustainability data
Privacy-focused AI search combining web results with chat
The top AI SEO tools in 2026 cover keyword research, content briefs, on-page optimisation, internal-link suggestions, and technical audits. This page ranks them by community votes, with free tiers marked.
AI visibility tools run your target prompts against ChatGPT, Perplexity, Gemini, and Google AI Overviews on a schedule, then report which brands got cited and with what sentiment. That's the AI-era equivalent of rank tracking — and the metric to watch is share of citations, not position.
Check three sources. Referral traffic from chatgpt.com, perplexity.ai, and gemini.google.com in your analytics shows citations that produced clicks. Server logs for GPTBot, ClaudeBot, PerplexityBot, and OAI-SearchBot show what's being crawled. A dedicated AI visibility monitor covers the citations that never generate a click at all.
Segment your analytics by those AI referrer hostnames, then group by landing page — the pages that appear are the ones models are actually quoting. Cross-reference with your log-file crawl data to find pages AI crawlers read but never cite; those usually need clearer structure, not more words.
Publish specific, well-structured answers, keep facts current and dated, mark up entities with schema, allow the AI crawlers in robots.txt, and consider an llms.txt map. Models cite pages that answer a question outright, not pages that bury it in preamble.
