Software that helps your site get discovered and cited by generative AI systems — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. They cover crawler access, machine-readable structure (llms.txt, schema), content shape, and AI traffic measurement.

Are free GEO tools enough, or do I need paid software?

For the foundational work — crawler access, llms.txt, schema, content structure — free tools cover everything. Paid GEO platforms ($30–500/month) mainly add ongoing citation monitoring across many prompts and competitor benchmarking at scale.

What's the difference between GEO tools and SEO tools?

SEO tools model how Googlebot ranks pages (keywords, backlinks, SERPs). GEO tools model how language models read and cite pages — crawler permissions for AI bots, llms.txt, answer-first structure, and extractability. The disciplines overlap; the tooling mostly doesn't.

Which GEO tool should I start with?

An audit. Run a whole-site check like the AI-Readiness Audit first — it tells you whether your problem is access, structure, or content, which determines every next step.

The best free GEO tools in 2026 (by job, not by hype)

The honest answer to "what GEO tools do I need" is: an audit tool to find your gaps, a crawler-access checker, an llms.txt generator, a schema validator, a content-structure scorer, and a way to see AI bots in your logs. Below is a free tool for each job — including, full disclosure, our own, which we built precisely because the free tier of this stack didn't exist.

Disclosure up front: this site makes most of the tools listed. We've marked ours clearly, explained what each actually does, and included the paid alternatives so you can judge the trade-offs yourself. Every tool of ours runs without sign-up, so verifying these claims costs you nothing but clicks.

First: what jobs need doing

GEO work decomposes into five jobs. Any tool that doesn't map to one of these is probably selling you a dashboard:

Access — can AI crawlers reach your pages at all?
Machine-readable context — llms.txt and structured data that tell AI what your site is.
Content shape — is your content written so a model can extract and cite it?
Verification — does it all actually parse the way you think?
Measurement — are AI bots visiting, and are AI assistants sending humans?

The stack, job by job

Start here: whole-site audit

AI-Readiness Audit (ours) — scores any URL across the pipeline: llms.txt presence, AI-bot access in robots.txt, title/description, heading structure, JSON-LD, and answer-first shape. One scan tells you which of the five jobs below needs you first. That triage is worth doing before anything else on this list.

Job 1: Crawler access

AI Crawler Access Checker (ours) — reads your live robots.txt and shows which of 15 AI bots can reach you. The most common GEO failure we see is accidental: a years-old "block all bots" rule silently excluding PerplexityBot or OAI-SearchBot. robots.txt Generator for AI Bots (ours) — builds the fix with per-bot allow/block toggles, so you can block training crawlers while staying visible to search agents. The AI bot directory documents each agent if you're deciding bot-by-bot.

Job 2: Machine-readable context

llms.txt Generator (ours) — form in, spec-compliant file out; can prefill pages from your sitemap. Pair with the llms.txt Validator to check the live result. FAQ Schema Generator and Article/HowTo Schema Generator (ours) — JSON-LD without hand-writing JSON.

Job 3: Content shape

GEO Content Structure Analyzer (ours) — scores a page or pasted draft on answer-first structure, heading quality, lists/tables, and specificity: the mechanics that determine extractability. Answer-First Paragraph Rewriter (ours, AI-powered) — rewrites an intro into the direct, citable form, constrained to facts already in your text. Entity & Topic Coverage Checker (ours, AI-powered) — finds subtopics an authoritative answer to your target query would cover that your draft misses.

Job 4: Verification

Schema Validator (ours) — paste JSON-LD or a URL, get required/recommended-field checks per type. Cross-check against Google's Rich Results Test (free, Google's own) for search-feature eligibility — the two answer different questions and are worth running together. AI Snippet Simulator (ours, AI-powered) — the closest thing to ground truth: it fetches your page like a crawler and reports how a model would describe it, what it would cite, and why it might skip you.

Job 5: Measurement

AI Bot Log Analyzer (ours) — paste server logs, get per-bot hit counts and path breakdowns, processed entirely in your browser. Crawler visits never show up in analytics tools, so this covers the blind spot. Google Analytics 4 (free) — with one custom channel group, GA4 tracks the human side: visitors clicking through from ChatGPT, Perplexity, and Gemini citations. Google Search Console (free) — still essential; AI Overviews inclusion rides on the same index GSC reports on.

Where paid tools earn their money

Fairness requires saying what this free stack doesn't do. Paid GEO platforms (Profound, Peec AI, Otterly, and a growing field — typically $30–500/month) principally add citation monitoring at scale: running thousands of prompts against multiple AI engines on a schedule to report share-of-voice against competitors. If you manage GEO for clients or a large brand, that monitoring layer is worth paying for. If you run your own site, do the foundational work free, watch AI referrals in GA4, and spot-check important prompts by hand — you lose the dashboards, not the results.

A 30-minute starting sequence

Audit your homepage and top page — 5 min
Check crawler access; fix robots.txt if needed — 10 min
Generate and upload llms.txt — 10 min
Score one key page's structure and note the fixes — 5 min

That's the whole foundation, at $0, with no accounts. The rest of GEO is content work — and the guides cover that side.