Most AI-visibility tools hand you a dashboard and stop there. Goodie doesn't, and I'd know, because I built it.
Full disclosure up front: I'm the founder and CEO of Goodie AI, so read this as a founder's honest teardown of his own product, not a pretend-neutral review. I'll tell you what it does well, where it falls short, and who should skip it.
What is Goodie AI? Goodie is an answer engine optimization (AEO) platform that monitors, diagnoses, and improves how a brand appears in AI search. It tracks visibility across11 AI engines, surfaces the prompts and content gaps that matter, and helps ship the fixes, from content to schema to product feeds.
Is it worth it? If AI search is a channel you're trying to win and you have a team that can act on what the tool finds, yes. If you're pre-revenue or you just want a dashboard to watch, start cheaper or start free. Pricing scales vary by growth stage, and there's a free AI-search assessment to test the claim before you talk to anyone.
Why AI search visibility is suddenly a real problem
The reason a category like this exists is simple: the traffic moved, and it's still moving.
Buyers stopped asking one search box and started asking five different assistants the same question, and now they’re getting five different answers about you. That's the shift. There's no longer a single surface to optimize for. If ChatGPT recommends your competitor while Perplexity doesn't mention you at all, you're losing deals you never see.
That's the job Goodie exists to do: see how you show up across all of those surfaces, and change it. Old SEO tools measure blue links, and they weren't built to tell you whether an AI engine recommends you or your competitor. Goodie exists to solve this new issue.
What Goodie is not
Goodie is not a keyword-rank tracker with an AI badge stuck on it, it's not a content generator that spits out articles and hopes, and it's not a set-and-forget button. It surfaces what's wrong and what to do, then someone on your side still has to ship the fix. I'd rather say that plainly than sell you a fantasy.
Key features
- Visibility monitoring. Track brand share of voice, position, and mentions on up to 11 AI engines, refreshed daily.
- Prompt and gap research. Find the actual prompts buyers use, and the topics where you're invisible while competitors get cited.
- Optimization actions. Prioritized fixes across content, schema, and site structure, ranked so you know where the next hour goes.
- Agentic Commerce Suite. SKU-level product visibility across ChatGPT's agentic commerce, Google AI Mode Shopping, Amazon Rufus, and Perplexity Shopping, with feed remediation and schema injection. This is the newest piece, and it's where AI search starts touching revenue directly.
- Content studio. An AEO writer that drafts for retrieval, not just for reading.
- Analytics and attribution. Tie AI visibility back to traffic and outcomes, so it's a channel you can defend in a budget meeting.
- Goodie MCP. Pull Goodie's data into the tools you already work in.
Goodie AI pricing
Goodie publishes one price and quotes the rest. Explorer is $399/month, self-serve, with a free trial and a 30-day money-back guarantee. Pro and Enterprise are priced by demo, because they scale on how much of the AI-search surface you're trying to win: more engines, more prompts, more seats, more optimization actions. Every tier includes the full closed loop, research, monitor, act, and measure. The tiers change your scale, not which system you get.
The honest read: $399 is real money for a solo founder or a pre-revenue startup, and I won't pretend otherwise. It's priced for teams that already treat AI search as a channel worth defending. If you want a fixed public number before you talk to anyone, Explorer is it, and the 30-day guarantee means you can test the claim instead of taking my word for it.
What Goodie does well
- It closes the loop. Monitoring is the easy part. Goodie's value is that it moves from "here's your score" to "here's the fix, ranked," and increasingly ships the fix. That's the whole design philosophy.
- Breadth of coverage. Most tools track two or three engines. Watching up to eleven matters when your buyers are split across LLMs, and the split keeps shifting.
- It reaches the digital shelf. The Agentic Commerce Suite is one of the few real answers to a question every ecommerce brand is about to ask: when someone shops through an AI agent, does it pick my product? Few competitors touch this yet.
- Real outcomes, not vanity metrics. The reporting ties visibility to traffic and conversions, which is what earns the line item next budget cycle.
- It flags misdescription, not just absence. Being cited isn't the same as being described right. Goodie tracks sentiment and share of voice against your competitors, so you catch an engine recommending you for the wrong thing, or getting a fact wrong, before it costs you a deal.
- It sees the crawler side. Most tools stop at the answer. The Agent Experience Suite shows how AI crawlers and agents actually hit your site, then fixes the technical signals they read (llm.txt, sitemaps, structure) so you're not invisible for reasons you can't see.
Where Goodie falls short
A founder review that only lists strengths isn't a review, it's an ad. Here's the honest side.
- It's priced for teams, not hobbyists. The entry point rules out a lot of early-stage users. If you're pre-revenue, this is more tool than you need today.
- It's leverage, not magic. Goodie surfaces the fixes; someone still has to act on them. If nobody on your team has the capacity to execute, the insights just sit there.
- Higher tiers mean a sales conversation. The upper tiers are quote-based. If you hate talking to sales before you see a number, that's friction, and it's fair to call it that.
- There's a learning curve. The platform is deep. Getting full value takes some onboarding, which is exactly why the higher tiers include a strategist.
Real outcomes
Goodie has some publicly visible case studies which help give a sense of what is achievable. These help make the positive case more concrete.
- SteelSeries grew AI-search conversions 3.2x in six months and became the most-retrieved gaming brand across ChatGPT, Gemini, and Perplexity.
- NoGood, my own agency, used it to grow AI-sourced traffic 335%. Read that one with the disclosure in mind: NoGood is mine, so treat it as a founder using his own tool, not independent proof.
- Dermalogica saw a 127% increase in AI conversions and 2.5x the visibility of its competitive average.
- Rathbones grew total AI citations 106%.
Who Goodie AI is best for
It's a strong fit if you're a growth-stage or enterprise brand where AI search already drives discovery, an ecommerce brand worried about the agentic shelf, or an agency managing AI visibility for clients. In short: teams with traffic to defend and the capacity to act.
Look elsewhere if you're a solo founder or pre-revenue startup watching every dollar, or a team that wants a dashboard nobody has time to act on. Start with a free assessment and grow into a tool like this when the channel is real for you.
How Goodie compares
The honest way to place Goodie is by what you'd otherwise reach for. It falls into three buckets, and it's a different tool from all of them.
Goodie vs traditional SEO tools (Ahrefs, Semrush, and the like)
These are built for the blue-link world: keywords, backlinks, rank tracking on Google and Bing. They're indispensable for that job, and Goodie doesn't replace them. But they were never designed to tell you whether ChatGPT recommends you, how Perplexity describes you, or whether an AI Overview cites a competitor instead of you. That's a different signal on a different surface. The mental model I use: SEO tools tell you where you rank; Goodie tells you whether the machine that's now answering the question even mentions your name. Most teams should run both, and expect the overlap to shrink as more discovery moves into AI answers.
Goodie vs content generators and AI writers
A lot of what gets sold as "AI SEO" is really a content factory: type a keyword, get an article. Volume was never the problem. Publishing more pages that no model retrieves is just faster invisibility. Goodie's content layer works the other way around. It starts from the gap, the prompts you're losing and the topics where you're absent while others get cited, and drafts for retrieval rather than word count. It also doesn't stop at the draft, the job is to close a measured gap and then check whether the answer actually changed. A writer gives you words. Goodie is supposed to give you a reason to write them, and a way to know if they worked.
Goodie vs other AI visibility / GEO platforms
This is the direct-competitor category, and I'm obviously biased, so weigh it accordingly. The serious GEO platforms each have a real strength: some go deeper on enterprise demand data, others come in cheaper and built for agencies. Goodie's is breadth, up to 11 engines, and that it acts on what it finds instead of stopping at a score. If you're choosing between them, weigh three things: how many AI surfaces you actually need covered, whether you want a tool that only reports or one that also ships the fixes, and what you can spend. I lay the options out side by side in the full GEO platform comparison.
The verdict
If AI search is a channel you're trying to win and you have a team that can act on what the tool finds, Goodie earns its price. If you're pre-revenue or you just want something to watch, start cheaper or start free. I'd rather you use Goodie because it fits than because I talked you into it.
Where are you seeing your brand show up in AI answers right now? That's the question the whole category comes down to, and it's the one worth answering before you spend a dollar on any tool, mine included.
Frequently asked questions
