What Does Goodie AI Actually Cost Per Answer?

Goodie AI is an answer-engine optimization platform that sells a closed loop: research the prompts, monitor the models, act on the gaps, measure the revenue. The reviews on page one for its name all count the features in that loop, and most of them are published by companies selling a competing tracker. Dageno's review is typical: it puts the price at "around $399 per month" and then says complete pricing "require[s] direct inquiry."

The pricing is published. Nobody divided it.

We sell no platform. We run the measurement and the content work behind it for clients, so the only question we care about is whether the thing you are about to buy can carry the decision you are buying it for.

For Goodie, answering that means noticing the loop runs on two meters, and that the two are set a thousand apart.

What does Goodie AI actually cost per answer?

Goodie's Core plan is $399 a month for 100 tracked prompts across five models, refreshed daily. That works out to roughly 15,000 AI answers a month, or $26.60 per thousand. Pro at $999 buys 250 prompts on eight models, about 60,000 answers, at $16.65 per thousand. Both figures sit mid-table in this bracket, not at the top.

That is the opposite of what every review on page one says.

The invoice reads expensive. The unit price does not. Most reviewers quote the first number and never do the division.

The headline price and the unit price point in different directions

Goodie's pricing page publishes real numbers, which already puts it ahead of most of this category. Conductor publishes no price at all. Scrunch's entry tier is quote-shaped. Goodie prints $399, $999 and a custom Enterprise line, and prints the caps beside them.

So the arithmetic is available. Nobody has done it.

Core is $26.60 per thousand answers, which is cheaper than Profound and AthenaHQ

Core lists 100 prompts and five core models: ChatGPT, AI Overviews, Perplexity, AI Mode and Copilot. The pricing page states all plans refresh daily with all-time lookback.

One hundred prompts across five models, run daily for thirty days, is 15,000 AI answers. Divide $399 by that and you get $26.60 per thousand.

Against the rows we have normalised across this market, Profound Growth runs $44.33 per thousand and Profound Starter $66.00. AthenaHQ Starter is $81.94. Goodie Core undercuts all three.

Pro is $16.65 per thousand, the third-cheapest row we have priced

Pro adds Gemini, Alexa and Sparky to the core five and lifts the prompt cap to 250. That is 250 prompts across eight models, daily, or 60,000 answers a month against a $999 invoice.

$16.65 per thousand. Only Ahrefs Custom Prompts at $10.00 and Otterly Premium at $10.19 come in lower, and Peec Starter at $21.11 is dearer.

A $999 plan being cheaper per answer than a $95 one is the kind of result that only shows up when you stop reading the invoice.

The whole calculation rests on one convention Goodie has never confirmed

This matters more than the numbers above it. The pricing page lists "100 prompts" on one line and the model names on another. It never says whether running a prompt across five models spends one prompt or five.

Every figure in this post assumes prompts multiply by models and by daily refreshes, because that is the convention in this category. If Goodie instead counts a prompt run across all models as a single prompt, Core is 3,000 answers a month and $133 per thousand, which would make it the dearest row in the bracket rather than a mid one.

Same page, same price, five times the cost per answer. Ask which reading is right before you model anything.

What every Goodie review asks:

• •What does it cost per month?
• •How many AI models does it track?
• •Does it show sentiment and competitor share of voice?
• •How does it compare to Profound?

What the two meters actually decide:

• •How many AI answers does one dollar buy?
• •How many of the gaps it finds am I permitted to fix this month?
• •Which of those two numbers is my actual constraint?
• •Does my prompt set reach a depth where the reading means anything?

Every review answers the first list. The second list decides whether the subscription changes anything.

6 things the optimization-action cap decides that no Goodie review mentions

None of these are defects. Each follows from metering the acting half of the loop separately from the measuring half, which is a design choice with consequences the feature list does not show.

Consequence #1: Core observes 1,500 AI answers for every one fix it lets you ship

Core buys about 15,000 answers a month and permits 10 optimization actions. Divide one by the other and the ratio is 1,500 to 1.

That is the number the tier decision turns on, and it appears nowhere in any review or on the pricing page.

A tool that finds a hundred problems and lets you fix ten is not a measurement problem. It is a queue.

Consequence #2: Every upgrade widens the gap rather than closing it

Core is 1,500 answers per permitted action. Pro is 2,000. Enterprise, at 500 prompts on twelve models against 60 actions, is 3,000.

The measurement half scales faster than the acting half at every step. Paying more buys proportionally more evidence of work you are still capped from doing.

If the backlog is your constraint, the upgrade is the wrong purchase and a bigger one makes it worse.

Consequence #3: One optimization action costs $39.90 on Core, and nobody else meters this at all

Divide $399 by 10 and each action carries a $39.90 price. On Pro it is $33.30.

Whether that is cheap depends entirely on what one action is, and the page does not define it. A schema block is not the same unit of work as a rewritten comparison page.

No other tracker we have priced meters the acting half in any unit. That makes Goodie harder to compare and also more honest about what a dashboard cannot do on its own.

Consequence #4: The Core five leave out the models most B2B buyers actually name

Core covers ChatGPT, AI Overviews, Perplexity, AI Mode and Copilot. No Gemini. No Claude. No Grok.

Gemini arrives on Pro at $999. Claude waits for Enterprise, which is the same gate Peec uses and which is worth pricing before you assume the entry tier covers your category.

Consequence #5: Pro puts retail assistants on a self-serve tier, which nothing else in this bracket does

Pro adds Alexa and Sparky alongside Gemini, and Goodie's product pages name Amazon Alexa for Shopping among eleven tracked systems.

Sparky is Walmart's shopping assistant. Alexa is Amazon's. Those are not general answer engines and no other self-serve tracker we have costed reaches them.

For a consumer brand selling through those channels this is the reason to shortlist Goodie, and it is buried under a feature bullet.

Consequence #6: AI Mode is listed on Core and again on Enterprise

Core's model line names AI Mode. So does Enterprise's, in the phrase "up to 12 models incl. Claude, AI Mode, Meta, DeepSeek, Grok."

Both cannot be the full story. Either AI Mode on Core is a narrower version, or the Enterprise line is repeating something already included.

This is small and it is the kind of thing that decides whether your model count is five or four. Get the list confirmed per tier in writing.

What Goodie is, underneath the pricing page

Fit is more useful to you than a verdict, and three things here are worth saying plainly.

It is an 11-person bootstrapped company competing against funded platforms

Goodie was founded by Mostafa Elbermawy and operates out of New York. Latka's company profile reports roughly $1.2M in revenue across an 11-person team with no disclosed outside funding.

That is a very different shape from Scrunch, acquired by Sitecore for $225 million, or Conductor, selling into the enterprise since 2006. Read it either way you like. A small team ships faster and carries more risk, and both of those are real.

The product covers the acting half more seriously than most trackers

Goodie's site names nine modules, including a Content Studio, an Agentic Commerce Suite, an Agent Experience Suite for crawler behaviour, an MCP server and revenue attribution through Google Analytics.

Most of this bracket sells you the dashboard and stops. That Goodie meters optimization actions at all is evidence it is trying to own the work rather than only the reading, which is the correct instinct even where the cap is tight.

The published case-study numbers are outcomes without denominators

Goodie's homepage names Dermalogica at an 85% increase in AI searches, NoGood at 335% more traffic from AI sources, Rathbones at 106% more total AI citations and SteelSeries at a 3.2x AI search conversion increase over six months.

Those are real named brands, which beats anonymous logos. None of the four publishes a starting count, a prompt set or a time-matched control, so a 106% lift could be four citations becoming eight.

Ask for the denominator. It is a fair question and a vendor confident in the result will answer it.

Percentages without denominators are the house style of this entire category. Goodie is not worse than its peers here, and it is not better.

Sizing a Goodie evaluation before you take the demo

The diagnostic half is done. Here is the sequence we run with clients evaluating this product specifically.

Step 1: Ask in writing whether prompts multiply by models

This is the question the whole evaluation turns on and it is answered nowhere public. Ask whether one prompt tracked across five models spends one prompt of your 100 or five.

The answer moves Core between $26.60 and $133 per thousand answers. Nothing else you ask on the call has that range.

Step 2: Ask what one optimization action is, and what happens at eleven

Ask whether an action is a recommendation, a generated draft, a published change, or a ticket. Then ask what happens when the tool finds more gaps than your tier permits: do they queue, expire, or become buyable.

If actions expire monthly, the cap is a use-it-or-lose-it budget and should be planned like one.

Step 3: Run your ten highest-intent prompts by hand across the tier you are considering

Before the demo, open ChatGPT, AI Overviews, Perplexity, AI Mode and Copilot and ask the same ten shortlist-stage questions your buyers ask. Record where you appear, which competitors appear instead, and every domain cited.

Two hours of this tells you whether the Core five cover your category or whether you are really pricing Pro.

Step 4: Check whether your category lives on Claude or Gemini before you buy Core

If step 3 shows your buyers concentrated on Gemini or Claude, Core is the wrong tier and the real comparison is Pro at $999 or Enterprise.

Price that honestly at the start. A $399 plan that needs two upgrades to become useful is a $999 plan bought slowly.

Step 5: Multiply your prompt set by your models by your cadence

Take the prompt count you actually need from step 3, multiply by the models step 4 says matter, multiply by daily refresh. Compare the result against the tier cap.

Then check the depth per cell rather than the total. In July 2026 Ronald Sielinski published From Stochastic to Stable, which found stable rankings required between 33 and 94 answers across 30 platform-topic combinations, with three of the 30 never settling at all. Daily refresh clears that band inside two months on any Goodie tier, so depth is not this product's constraint.

We costed out which prompts earn a slot in how to select prompts for LLM tracking. Most sets are half the size teams first propose.

Step 6: Fund the earned half from the same budget line

Whatever the licence costs, hold back a matching share for the work that puts you inside other people's pages: earned mentions, comparison placements, review-site position, community presence.

In our corpus, four of the twelve most-cited domains were brand-owned, which means eight were not. Reddit alone drew 14,698 citations and appeared in 13.6% of all 90,132 answers. Ten optimization actions a month will not touch the eight. That split is why a managed GEO agency sits beside tooling rather than inside it.

Where Goodie fits, by what each option constrains

Option	What it constrains	Right when
Goodie Core · $399	Models and actions. Five models, no Gemini or Claude, and 10 fixes a month	Your buyers sit on ChatGPT, Perplexity and Google surfaces, and you have capacity for about ten changes a month anyway.
Goodie Pro · $999	Actions, at 30 a month. Models stop at eight and Claude is not among them	You sell through retail assistants. Alexa and Sparky at self-serve exist nowhere else in this bracket.
Goodie Enterprise	Price, which is quoted rather than published	You need Claude, Meta AI, DeepSeek and Grok, multi-brand tracking, and a named strategist.
AthenaHQ	Prompt count. Nine engines at daily cadence leaves about 13 prompts on $295 a month	You need daily depth on engines the cheaper tools cannot reach. The credit arithmetic is worked out in full.
Peec AI	Three of six engines on every self-serve tier, with Claude held for Enterprise	Your buyers cluster on three engines and you need unlimited seats. What Peec tracks covers the gating.
Conductor	Sampling depth. The AI allowance is annual, not monthly	You want AI visibility read beside ten years of your own organic data. The annual credit is priced out.
A managed program	Nothing, if scoped right. It costs a retainer	The measurement was never the bottleneck and nobody owns the weekly loop.

The six jobs to score any of these against sit in the AI visibility platform buyer's guide, and the rest of the field is mapped in our survey of GEO tooling for 2026. For multi-country coverage specifically, we priced that in Otterly's multi-country tracking.

FAQ

What is Goodie AI?

Goodie is an answer-engine optimization platform founded by Mostafa Elbermawy and based in New York. It tracks brand mentions, citations, sentiment and share of voice across up to twelve AI systems, and ships nine modules covering prompt research, visibility monitoring, optimization actions, a content studio, agentic commerce visibility, crawler behaviour, revenue attribution and an MCP server. It is one of the few trackers in this bracket that meters the acting half of the work as well as the measuring half.

How much does Goodie AI cost?

Goodie publishes three brand tiers: Core at $399 a month for 100 prompts on five models with 10 optimization actions, Pro at $999 for 250 prompts on eight models with 30 actions, and a custom Enterprise tier with 500+ prompts on up to twelve models and 60+ actions. There are also agency plans starting at $350 a month for 10 pitch workspaces. On daily refresh, Core works out to roughly $26.60 per thousand AI answers and Pro to $16.65, both of which undercut Profound and AthenaHQ.

Is Goodie AI worth it?

It depends on whether your constraint is measurement or capacity. The per-answer pricing is competitive and the model coverage on Pro reaches retail assistants nothing else in this bracket touches, so for a consumer brand selling through Amazon or Walmart it is a genuine shortlist entry. What you are not buying is unlimited remediation. Ten optimization actions a month against roughly 15,000 observed answers is a queue, and no tier upgrade closes that ratio.

What are the best Goodie AI alternatives?

For AI visibility tracking alone, the names that come up are Profound, Peec AI, Otterly, AthenaHQ, Rankscale, Scrunch AI and Ahrefs Brand Radar. For AI visibility read next to enterprise SEO data, Conductor, BrightEdge and Semrush. Compare on cost per thousand answers rather than headline price, and ask each vendor whether prompts multiply by models before you accept any of their numbers, including ours.

Does Goodie AI track Claude?

Not on the self-serve tiers. Goodie's pricing page lists Claude only under Enterprise, in the "up to 12 models" line alongside Meta AI, DeepSeek and Grok. Core covers ChatGPT, AI Overviews, Perplexity, AI Mode and Copilot, and Pro adds Gemini, Alexa and Sparky. If Claude matters to your category, the entry tier does not reach it and Peec gates Claude the same way.

The bottom line

Goodie prints its prices and its caps, which is more than half this category manages, and the per-answer arithmetic that falls out of those numbers is better than its reviews suggest. The reviews got it backwards because they quoted the invoice.

Then it meters the second half of the loop at 10 fixes a month and never mentions the ratio between the two.

Do step 1 before you take the demo. If prompts multiply by models, Core is a competitively priced tracker with a tight remediation cap. If they do not, it is the most expensive row in the bracket. The vendor is the only one who can tell you which, and nobody has asked in public.

Then do step 2, because the answer decides whether you are buying a tracker or a work queue. After that, go do the work no licence covers. Nothing in the software earns the third-party mention that puts you in the source pool, and eight of the twelve most-cited domains in our corpus were not brand-owned. An AI visibility audit will show you which side of that line your gap sits on before you sign.