Goodie AI plans compared, what Core and Pro publish, and the domain that does not take you to the product
Two published prices, a daily collection cadence on every tier, four accuracy metrics almost nobody else names, and a lookalike domain listed for sale at 150,000 dollars.
AI Knows Us · Updated 2 November 2026
Start with the thing that wastes an afternoon. The product sold as Goodie lives at higoodie.com. On 31 October 2026, goodie.ai returned a Spaceship.com domain listing offering the name for sale at 150,000 dollars, and goodieai.com returned a parked lander. Neither is the vendor. If you are researching this company, start from the right host, because two of the three obvious guesses lead somewhere else entirely.
With that out of the way, Goodie is one of the more completely published documents in this market. Read on 31 October 2026, its pricing page carries two monthly prices, an annual toggle marked two months free, a full feature grid for three tiers, and a sentence that tells you how it wants to be compared: some AEO platforms start lower than our Core plan, but we will not trade your results for a lower price.
The published plans
| Published row | Core | Pro | Enterprise |
|---|---|---|---|
| Price | 295 dollars a month | 999 dollars a month | by demo |
| Answer engines tracked | 5, named as ChatGPT, AI Overview, Perplexity, AI Mode and Copilot | 8, adding Gemini, Alexa and Sparky | up to 14, adding Claude, Meta, DeepSeek, Grok and Muse |
| Prompts | 110 | 250 | 500 or more |
| Collection frequency | daily | daily | daily |
| Countries and languages | 2 and 2 | 5 and 5 | 8 or more each |
| Optimisations a month | 50 | 100 | 100 or more |
| Page visibility scorecard | up to 10 pages | 30 pages | 60 or more |
| Prompt research a month | 30 prompts | 80 prompts | 80 or more |
| Seats | unlimited | unlimited | unlimited |
| Support | email only, 30 minute onboarding call | email only, 30 minute onboarding call | email and Slack, bi-weekly cadence |
| API access, SOC 2 | no | no | yes |
| Free trial | 7 days, self serve | starts with a conversation | starts with a conversation |
The entry plan is self serve and the page says so in as many words: Core is fully self serve, Pro and Enterprise include onboarding and tailored scoping. That is a real difference from most of this category, where the first plan is a trial and the second is a phone call.
The four metrics that are the reason to look at it
Most vendors in this market report presence. Goodie publishes a module it calls Brand Command and names four figures underneath it: inaccuracy rate, narrative coverage, adverse citation share and recommendation rate. Those four are on every tier in the grid as read on 31 October 2026.
Two of them are worth a buyer's attention because they answer questions the usual dashboards do not. Recommendation rate is a different measurement from a citation count, and the distinction is the one that decides whether a buyer ever hears your name: being read and being chosen are not the same event, which is set out in full in being read and being chosen are two measurements. Inaccuracy rate and adverse citation share are the shape of a metric you want when the problem is that assistants say something wrong about you rather than nothing at all. What the page does not publish is the method behind any of the four: how many samples per prompt, what counts as an inaccuracy, who adjudicates it. Those are the questions to ask, and they are the same questions we would expect of our own numbers.
What the money buys per answer
Core publishes 110 prompts on five engines at a daily cadence, which computes to roughly 16,500 recorded responses a month and about 1.8 cents a response at 295 dollars. That is cheap per answer by the standards of this market, and the figure is computed from the published rows rather than quoted, so confirm on the call that daily means every prompt on every selected engine.
Put beside the vendors that also publish both halves on the same day: Evertune Starter at about 1.2 cents, Scrunch Core at about 5 cents on 5,000 responses for 250 dollars, AthenaHQ Starter at about 8.2 cents on 3,600 credits for 295 dollars, and our own Growth plan at about 18.7 cents on 1,600 credits for 299 dollars. On price per recorded answer we are the most expensive of the five, which is the plain reading of our own published figures, and the reason is that our plans include pages written and published to your site each month rather than metering alone. If the job is metering, three of those four rivals meter more cheaply than we do.
Where Goodie beats us, said plainly
Unlimited seats on all three tiers against one login on all of ours. Daily collection on every tier against our weekly readings on priority questions. Fourteen engines at the top tier, including surfaces we do not read at all, against our five apps. An MCP server on every tier where our own API renders on the two highest plans. And three free tools published without a signup, an AI visibility index, an agent site audit and an llms.txt generator, where our free offering is a single scan.
Where we differ in our favour is narrow. Claude is inside our subscription on every plan that reads AI apps, at 3 credits against 1, where Claude first appears on Goodie's Enterprise tier. Our price is published in six currencies in the served page. And support on our plans is a worked cohort rather than email only, which is a different thing from a cheaper thing.
Questions buyers ask about Goodie AI
Is goodie.ai the same company?
Not on 31 October 2026. That domain served a Spaceship.com listing with a Buy now figure of 150,000 dollars. The product is at higoodie.com, and the domain you type decides whether you are reading a vendor or a sales listing for a name.
Can I start without talking to sales?
Yes on Core, which the page describes as fully self serve with a 7 day free trial. Pro and Enterprise start with a conversation, which the page also states.
Does Core read Claude?
No. Core publishes five engines, Pro publishes eight, and Claude appears in the up to 14 list on Enterprise. If a Claude reading matters to you, that single row moves the quote from 295 dollars to a custom contract, so raise it in the first email.
What is the catch in the prompt count?
110 prompts on Core is a focused set, and the plan also caps prompt research at 30 prompts a month and the page scorecard at 10 pages. A large catalogue or a long question list runs into those two numbers before it runs into the prompt limit.
How do I check the accuracy metrics are real?
Ask for the sample count behind the inaccuracy rate and the definition of an adverse citation, in writing. A rate without a denominator is a label, and this is the one part of an otherwise unusually transparent page that does not publish its own method.
What the two months free toggle is really telling you
Goodie publishes a monthly figure, an annual figure, a feature grid with numbers in every cell, a self serve first tier and four metrics that go beyond presence. That is close to the most complete document in this category, and the practical effect is that a buyer can decide between it and us on arithmetic rather than on chemistry. Ours reads five apps including Claude on a weekly schedule, publishes the price in six currencies, and includes the pages written to change the answer. Theirs reads more engines more often and leaves the writing to its agents. Read both tables side by side with your own prompt count in them, and start by making sure the tab you have open is the right domain.
How we know this
We read the assistants rather than guessing what they do. In our own audit of 1,260 saved answers from ChatGPT and Gemini across the United States, the United Kingdom and India, 82.0% of every citation landed on a site the business itself owned, and review directories took 0.7%. Counted as one domain per reading, 16,516 of 20,143.
That is the whole asymmetry: the pages you own are the pages an assistant quotes back to a buyer. See the dated readings and the method on our proof page.
Find out whether assistants name your business, on your own domain and your own buying questions.
By Aditya Goel, Founder, AI Knows Us. Reviewed 1 November 2026.