Rank Analyzer: AI SEO Platform & Chatbot

Rank Analyzer is an AI-powered SEO and content analysis tool I built and run myself, aimed at marketers and SEO teams navigating the shift to generative search: Google’s AI Overviews, ChatGPT search, and the other AI answer engines that now sit between a search and a click. It needed a marketing site that could explain a genuinely technical product in plain language, and a way to answer the questions every visitor asks (what’s included, what does it cost, how is this different from a normal audit) without me answering each one by hand.

What I built

The site itself runs on WordPress and Elementor. Behind the chat bubble in the corner is a custom WordPress plugin I wrote rather than a third-party embed, a guided assistant that actually knows the product’s plans and pricing instead of deflecting to a contact form.

The homepage sets out the product in three parts: live research across major AI search engines compiled into a dataset-type scoring table, a content recipe (headings, proportions, schema markup) built to match what those engines reward, and an eight-week cluster plan with multimedia ideas to build topical authority beyond a single article.

The chatbot

It knows the actual pricing, not just “get in touch”

Asking the bot about the flagship offer doesn’t route to a contact form. It names the plan, the price, and exactly what’s included: a comprehensive report, on-page and technical audit, dataset scoring with competitor insights, and keyword-gap opportunities. Most chat widgets bolted onto a marketing site can’t do this, because they’re not actually wired to the product.

Knowing when to stop guessing

I tested it with an open-ended question it hadn’t been given a script for (how this compares to a normal SEO audit tool). Instead of improvising an answer it couldn’t stand behind, it acknowledged the question and pivoted into collecting a name and contact details for a real follow-up. A wrong guess from a chatbot costs more trust than an honest handoff, so the bot is built to know the difference between a question it can answer on the spot and one that needs a person.

Testing

I test the chatbot the same way a real visitor would: working through each quick-reply path (SEO analysis and strategy, pricing and plans, getting a quote, existing-customer support) and then trying to break it with questions outside the script, checking that it either answers correctly or hands off cleanly rather than inventing something.