6 Free AI Visibility Tools from AmICited

AmICited quietly shipped something new: a Free Tools hub with six utilities that anyone can use to check and improve how their brand shows up in AI search, no subscription required. We took screenshots of every tool and are walking through what each one does, what it’s good for, and where it fits into a broader AI visibility strategy.

What’s Included

The hub sits at amicited.com/free-tools and organizes its six tools into four categories: Visibility, Research, Content, and Technical. Each tool has its own dedicated page with a working form, a plain-English explainer, and an FAQ section.

Here’s the full list:

• AI Brand Visibility Report (Visibility) — how well ChatGPT, Claude, and Perplexity know your brand, in about 40 seconds
• ChatGPT Query Fan-Out Generator (Research) — turns one prompt into the sub-queries an AI search engine runs behind it, in about 10 seconds
• Robots.txt Generator for AI (Technical) — a robots.txt that explicitly allows AI crawlers, in about 5 seconds
• LLMs.txt Generator (Technical) — a curated llms.txt summary built from your domain or sitemap, in about 60 seconds
• LLM Watermark Detector (Content) — scans pasted text for deterministic watermark signals, in about 10 seconds
• LLM Watermark Remover (Content) — a best-effort rewrite that strips those signals, in about 60 seconds

Every page notes the same two things up front: the tool is free, and nothing you enter is saved once you navigate away.

AI Brand Visibility Report

This is the flagship tool, and it’s the one most relevant to anyone tracking GEO (generative engine optimization). Enter your website, and it asks ChatGPT, Gemini, Perplexity, and DeepSeek the same set of category questions about your brand, then scores the answers.

The output covers:

• Visibility score — an overall read on how present your brand is across the tested prompts and models
• Share of voice — what percentage of relevant answers mention you at all
• Sentiment — whether the framing is positive, neutral, or negative
• Competitors — which brands get named alongside or instead of you
• Model-by-model breakdown — visibility split across ChatGPT, Perplexity, Gemini, Claude, and Copilot
• Citations — the source pages and domains the models actually pulled from

It’s a genuinely useful one-time gut check. The catch, and it’s an honest one the tool’s own FAQ addresses, is that a single AI answer is a noisy sample. A 2026 University of St. Gallen study found that roughly two-thirds of the sources an AI engine cites change from one day to the next , so a single free report tells you where you stood in that moment, not a stable trend line.

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ChatGPT Query Fan-Out Generator

This is the tool we spent the most time with. Feed it a seed query — we tried “best project management software for startups” — and it’s built to expand that single prompt into the cluster of narrower sub-queries an AI search engine like ChatGPT or Google AI Mode is likely to run behind the scenes before composing one synthesized answer.

The page’s own worked example shows what that looks like for “best CRM for startups,” fanning out into questions like “Which CRM integrates with Gmail and Slack?” and “Is a CRM worth it for a five-person company?” The point isn’t the exact wording, it’s coverage: a page that answers most of the angles a query fans out into has a real shot at being pulled into an AI answer, even without the top classic search ranking for the head term. Note that actually running a query (not just reading the explainer) requires signing into a free AmICited account.

Robots.txt Generator for AI

A narrow, practical tool: it generates a robots.txt file with explicit allow rules for known AI crawler user agents, so ChatGPT, Claude, Perplexity, and similar systems can actually index your site instead of getting caught by an overly broad disallow rule left over from an old configuration.

Worth running even if you think your robots.txt is fine — a lot of sites unknowingly block AI crawlers with generic rules that were only ever meant for scrapers.

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LLMs.txt Generator

Give this one a domain or a sitemap.xml URL and it produces an llms.txt file: a curated, link-first summary of your key pages, written in the plain-markdown format AI assistants are increasingly expected to read directly instead of crawling your entire site page by page.

At roughly 60 seconds, it’s the slowest of the six tools, which tracks with it doing the most work — reading your sitemap and deciding what’s actually worth summarizing.

LLM Watermark Detector & Remover

The two content tools are a pair. The Detector inspects pasted text for deterministic watermark signals, like hidden Unicode characters some AI writing tools insert. The Remover applies a best-effort rewrite to strip those signals out.

Both tools are upfront about their limits: detection identifies signals, not authorship or a specific proprietary watermark, and removal is “best-effort,” not guaranteed. Review the output before you use it anywhere that matters.

How They Work Together

The tool pages are cross-linked deliberately — each one has a “Pairs well with” section pointing at the others, and the intended workflow reads like this:

1. Run the AI Brand Visibility Report to get a baseline: are you showing up, and where are the gaps?
2. Use the Query Fan-Out Generator to map the full set of sub-questions behind the topics you want to be found for.
3. Fix the technical side with the Robots.txt and LLMs.txt generators, so AI crawlers can actually reach and understand your content.
4. Publish content that closes the gaps you found, then measure again.

That last step is the honest limitation of any free, one-off tool. A single Brand Visibility Report is a snapshot, not a trend, and AI answers are noisy enough day to day that one run can over- or under-state where you actually stand. If you want that same kind of analysis running continuously — tracked over time, across the same set of engines, with alerts when something shifts — that’s exactly what AmICited’s paid monitoring is built for. The free tools hub is the right place to start; regular monitoring is what turns a one-time score into an ongoing strategy.