Question 1

What does the multi-model check actually do?

Accepted Answer

It gives your llms.txt and homepage to GPT, Claude and Gemini and asks each the questions your customers ask: what you do, what it costs, and who it's for. You see every model's answer side by side, a 0–100 understanding score from each, the fixes they agree on, and the llms.txt each model expects.

Question 2

Is this exactly what ChatGPT, Claude or Gemini will say to my customers?

Accepted Answer

It's the closest honest proxy. We use the same model families through their official APIs and tell them to answer only from your site. The consumer apps can also browse the web and use their training data, so live answers can differ, but if the models can't find something on your site, the apps are left guessing too.

Question 3

What is llms.txt?

Accepted Answer

llms.txt is a plain markdown file at the root of your domain (yoursite.com/llms.txt) that tells AI models what your company does, your products, pricing and key pages, so they don't have to piece it together from scraps.

Question 4

Is llms.txt an official standard?

Accepted Answer

No. It's a proposed convention (llmstxt.org) that some AI tools and documentation sites have picked up, and no major AI assistant has formally committed to reading it. It takes minutes to add and does no harm, so it's one of our checks, but most of the score rests on long-established signals: whether crawlers are let in, whether the page reads without JavaScript, and structured data.

Question 5

What is a GEO score?

Accepted Answer

GEO (Generative Engine Optimization) score is our free 0–100 audit of the basics AI crawlers need: whether robots.txt lets them in, whether llms.txt exists, heading structure and structured data. The multi-model check goes deeper and measures how well AI actually understands you.

Question 6

What is the AI readiness score for stores?

Accepted Answer

For online stores we also read the product pages themselves, the way AI shopping answers and search do: product structured data, price and currency, stock status, ratings, shipping and returns, whether the details appear without JavaScript, and whether every product is in the sitemap. Stores are rescanned daily and ranked on the store board. It measures whether AI can read your products, not whether it recommends them: that is what the AI shelf test checks, product line by product line.

Question 7

How long does it take?

Accepted Answer

The free GEO audit takes about 10 seconds. The multi-model check takes 20–40 seconds the first time. If your site hasn't changed since the last check, the result comes back instantly.

Question 8

Do I need to install anything?

Accepted Answer

No. Enter your domain and we read your public pages. To track which AI crawlers visit you, you can optionally add a one-line snippet.

Question 9

How much does it cost?

Accepted Answer

The GEO audit is free with no signup, and every account gets one free 3-AI report. Radar analytics is $5/month, and free any month you share us. Pro is $49/month for GEO and Radar together, with 25 AI credits a month. The Lifetime Bundle is a one-time payment for both, with 50 AI credits. Every plan can add packs: +100k events for $5/month or +5 sites for $10/month.

Question 10

What is Radar?

Accepted Answer

Radar is our privacy-friendly web analytics: a 3 KB script, no cookie banner needed in cookieless mode, revenue from Stripe, Razorpay, Dodo or Polar, and orders from Shopify or WooCommerce (COD included), credited to the visit that brought the buyer, goals, and something no other analytics tool shows by default: which AI engines (ChatGPT, Perplexity, Gemini, Claude, Copilot) send you visitors.

Question 11

Can Radar show which post made me money?

Accepted Answer

Yes, on every Radar plan. Name a post in Radar and it gives you a tagged link (yoursite.com/?ref=launch-tweet) to paste in it. Connect your payment provider or store and the Post links card ranks each post by visitors and revenue. Tags are used because browsers strip the t.co path and the X app sends no referrer at all. Telegram alerts name the post too.

Question 12

I use DataFast. What do I have to change?

Accepted Answer

Usually just the script tag. Radar understands data-fast-goal, datafast() calls and the datafast_visitor_id checkout metadata, and can import your DataFast history with an API key.

Question 13

How does 'free any month you share' work?

Accepted Answer

Radar is $5/month with a card on file. Share a milestone card or your Radar link anywhere, and if it brings at least 10 unique visitors during your billing month, or you keep the 'Tracked by Geodify' badge on your site, we skip your next charge. We verify it automatically; you don't need to send us anything.

Question 14

My product is on the leaderboard. How do I claim it?

Accepted Answer

Open its score page and click “Claim this page”. Enter your email (new or existing account, it's the same step), then prove the site is yours with a meta tag, a DNS record or the Radar snippet. Once verified, only you can manage the page and its data.

Question 15

I build several products. Do I need several accounts?

Accepted Answer

No. Claim each one into the same account. After you verify one site, we suggest others on the board with the same X handle or contact email so you can claim them too. Each still needs its own verification, and your plan sets how many sites you can add.

Question 16

What is a founder page?

Accepted Answer

A public page at geodify.pro/founders/you that lists every product you've verified with its AI visibility score, rank and, if you share Radar, its growth. You can turn on “Talk to the founder” so people can pitch or propose integrations; messages go to your email and Telegram, and your address stays private.

Question 17

Why do AI reports use credits?

Accepted Answer

Each report asks three paid AI models. Credits keep that cost predictable for you and for us. Re-checking a site that hasn't changed is answered from cache and costs nothing.

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Score distribution

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Score distribution

Average score by week

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Check yours in 10 seconds.