Goodie AI (or simply “Goodie”) is an emerging leader in AI Search Visibility / Answer-Engine Optimization / Generative Engine Optimization (GEO/AEO). It’s built to help brands understand, monitor, and improve how they are seen, cited, and represented in AI-powered answer engines (ChatGPT, Gemini, Claude, Perplexity, etc.) rather than just “traditional SEO.” If you want your brand to show up well in these next-gen search environments — what people ask of LLMs, what AI assistants answer, what “Google AI Overview / AI Mode” surfaces — Goodie is one of the strongest full-stack tools right now.
Below is everything I found out: features, pricing (what we know), pros & cons, what customers report, and who it’s best for.
What Goodie AI Is & Why It Matters
- Purpose
Goodie is designed for brands to ensure they aren’t invisible (or misrepresented) in AI answer engine contexts. It tracks visibility (when you are cited / mentioned by AI engines), reputation (narrative, sentiment), content gaps, and then helps you take action to improve those metrics. It is not just content generation, and not just SEO analytics — it is about AI-search presence, citations, narrative control, and optimization.
- Why this is increasingly important
- More users now ask AI agents for information (“What’s the best vacuum under $200?” “Which gaming headset is good for streaming?” etc.), and those agents often give answers that cite sources, list brands, or synthesize content.
- If your brand is cited (or better, you control the narrative that leads to citations), you gain credibility, discovery, traffic, leads. If you are mis-cited (or absent), you lose visibility/control.
- Traditional SEO doesn’t always map to “appear in ChatGPT / Gemini / AI systems” because AI agents may interpret prominence, trust, freshness, format, citation differently than Google’s link ranking system.
- What Goodie is not
- Not a simple blog-writing tool. Yes it helps content, but content is part of a broader strategy.
- Not purely analytics (though it has strong metrics). The value comes in the “monitor → diagnose → action → measure” loop.
- Not free or ultra-cheap for full capability. For many of its features, you’re paying for enterprise-grade depth.
Key Features
Here are Goodie’s main features with what they do, and how (from what’s publicly documented and case studies) they perform.
| Feature |
What It Does |
What Makes It Valuable / How Goodie Implements It Well |
| AI Visibility Monitoring |
Tracks whether and how often your brand appears in answers from AI agents like ChatGPT, Gemini, Claude, Perplexity, AI Overview / AI Mode, DeepSeek, etc. |
You can see across many models, see citation / source behavior, sentiment. Real-time or frequent refresh. This helps discover where you’re missing opportunities or being misrepresented. |
| Topic / Content Gap Explorer (Topic Explorer) |
Lets you define high-priority topics and see what content already exists, what competitors are doing, where your brand is weak or missing, etc. |
Goodie helps identify “topic dominance” and gaps in semantic coverage. It shows topics that matter, and where you are being left out. Useful for content planning and prioritization. |
| Optimization Hub / Actionable Recommendations |
Once you see gaps or mis-citation or low visibility, Goodie gives recommendations: content to build, optimizations to existing content, schema / structure, maybe outreach / earned‐content suggestions. |
These are not just data dashboards; Goodie aims to help you take concrete steps. For example, its AEO Content Writer to help you produce content aligned with AI-engine expectations; semantic keyword / structured data help; prioritization of high impact work. |
| AEO Content Writer |
Tool built to help you write content that is optimized for answer engine ranking, better citation, better language / format for AI agents. Possibly also harmonizing with brand voice. |
Goodie’s content writer is tailored not just to SEO but AEO: expected formats, context, sources, citations. It also helps ensure content matches what AI agents are likely to use (structure, freshness, clarity). |
| Traffic & Attribution |
Connecting visibility in AI agents to real metrics: traffic, leads, conversion. Knowing: “We appeared in X ChatGPT answers; that drove users; that drove leads/sales.” |
Very important because visibility without business outcome is just vanity. Goodie reports case studies with “AI search conversions increase” or traffic increases. For instance SteelSeries and NoGood, reported increases in traffic or conversions from AI sources. |
| Generative Engine Optimization |
Broader monitoring + optimization across many generative models / AI agents, including newer ones; ability to compare and see “which model is performing / citing / growing.” |
Freshness of model list, ability to adapt. Goodie publicly lists many models: ChatGPT, Perplexity, Gemini, Claude, DeepSeek, AI Overview / AI Mode, Grok, Rufus, Meta AI, Microsoft Copilot. |
| AI Crawler & Agent Analytics |
Understanding how AI crawlers / agents are interacting with your content; whether content formats / structures are optimal; maybe seeing which pages are favored by AI agents. |
Helps you refine not just “what to write” but “how to structure content / site so AI can find & cite it properly” (schema, on-page, linking, etc.). Also helps catch technical issues or mis-representation. |
Pricing & Plans (What We Know + What’s Unclear)
Publicly available info on Goodie’s pricing is somewhat limited. Here’s what I dug up:
| Pricing Element |
What Is Known |
What Is Not Public / Likely Custom / Based on Scope |
| Starting Tier / Entry Cost |
From some reports / reviews, people cite base plans starting around US$495/month (for mid-market usage) depending on number of tracked prompts, models, languages, geographic markets. This is consistent with what we heard in hands-on work.
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Exactly what’s included at that base tier (number of models, prompts, granularity) is usually sales-led. For enterprise usage (multi-country, high volumes of prompts, many models) pricing will scale up.
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| Custom / Enterprise Pricing |
Goodie offers enterprise / custom plans. Many customers (like Unilever, large global brands) will be using custom deals.
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Public pricing for very large companies or extremely high usage is not transparent; usually requires a demo / sales conversation.
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| What Affects Price |
Key levers are: number of models (AI agents) you want to track; number of prompts / topics; number of countries / languages; amount of content workload; volume of data / dashboards; amount of direct support / onboarding.
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Exactly how steep those scales are is not fully public. Also, whether features like “content writer” or “agentic recommendations” are priced in or add-ons may vary.
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So in summary: Goodie is not “cheap” in the bargain-basement sense, but for what you get (deep model coverage, action layer, attribution, enterprise support) the cost is defensible. It’s priced for mid-market to enterprise; smaller brands will need to evaluate ROI carefully.
Pros
Here are what I see as the biggest strengths of Goodie, based on the product, public info, and how clients report results.
- Breadth of AI engine / model coverage
Goodie tracks many AI/LLM surfaces (ChatGPT, Gemini, Claude, Perplexity, DeepSeek, AI Overview / AI Mode, Grok, etc.). That diversity matters because different users / markets use different agents; what works on one may not on another.
- Real-world, actionable insights & a robust action layer
Data dashboards are fine, but Goodie helps you decide and execute (content, technical, narrative). The AEO Content Writer, Optimization Hub, topic gaps, etc., help convert insight into work.
- Strong attribution & case study evidence
Clients have reported real gains: e.g.:
- SteelSeries became “Most retrieved gaming brand across ChatGPT, Gemini & Perplexity” and 3.2× AI search conversions increase in 6 months.
- NoGood saw 335% increase in traffic from AI sources and 48 high-value leads in a quarter of 2025.
- The fact that Unilever is a client (among others) indicates Goodie works at scale, with big brand complexity and expectations. (Publicly noted client lists: SteelSeries, NoGood, Unilever.)
- Multi-country, multi-language, and multi-topic readiness
If you work across markets / languages (e.g. Europe + US + APAC), being able to segment by country / language, see topic visibility per region, compare, is a huge plus. Goodie emphasizes that.
- Friendly UI and solid metrics / dashboards
Users report that the interface is approachable, understandable even for non-technical marketers but with enough depth for SEO / content / technical leads. The dashboards give digestible metrics plus the ability to dig in. (E.g. topic dominance, content gap, semantic recommendations.)
- Future-proofing for AI / generative search
Because the tool is explicitly built around AI answer engine visibility (not retrofitted), it tends to follow model behavior, updates, changes in agent behavior more closely. That means less risk of being blindsided by a new AI model or engine.
Cons / Things to Watch Out
No tool is perfect. Even Goodie has trade-offs. Being aware of them helps you set expectations and evaluate whether it’s right for your team.
| Limitation / Consideration |
Details / Implications |
| Cost & Scale |
As noted, full capability comes with premium pricing. Small brands / solo marketers may find it expensive, especially when many models, many languages, many topics are needed. ROI must be carefully evaluated.
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| Dependency on team’s ability to act |
The tool gives recommendations, content suggestions, optimization paths, but someone needs to execute: content writers, technical SEO, PR/earned content, dev resources. If you don’t have people to act, the insights won’t translate.
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| Onboarding & Setup |
Because Goodie is deep, setup (defining topics/prompts, tracking models, integrating dashboards, possibly connecting analytics, setting up attribution) takes time and coordination. Not “instant” plug-and-play in every case.
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| Integration Gaps (publicly) |
It’s not always fully transparent which integrations are available (with all analytics, all CMSs, all data sources), which may require custom work. Some users report needing to bring in external analytics or tools for full pipeline attribution.
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| Learning Curve |
Some features (like interpreting AI-visibility metrics, understanding which kinds of content matter for different AI agents, configuring content for AI versus just human/SEO) may be newer to some teams. There’s a learning curve to understand what “counts” in AI-search visibility.
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Real Customer Outcomes & Case Studies
Goodie has some publicly visible case studies which help give a sense of what is achievable. These help make the positive case more concrete.
| Client |
What They Did / Context |
Reported Results |
| SteelSeries |
A gaming hardware company. They worked with Goodie to optimize their presence in AI answer engines (ChatGPT, Gemini, Perplexity).
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They became the most retrieved gaming brand across those AI agents; saw 3.2× increase in AI search conversions over 6 months.
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| NoGood |
Growth marketing agency. Probably used Goodie to track their own brand/clients and optimize content and visibility.
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A 335% increase in traffic from AI sources; 48 high-value leads in a quarter in 2025.
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| Unilever and other large brands |
As a client, Unilever brings complexity: global markets, many brands, many languages, brand reputation. Goodie serving such clients suggests maturity of support, scale, and enterprise readiness.
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[No specific public results, but Goodie’s service to large brands signals robust enterprise capabilities.]
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These case studies suggest that Goodie does more than “look nice” — real lifts in visibility, traffic, conversion/leads are achievable.
Who Goodie AI Is Best For
Goodie is especially well-suited for:
- Mid-market to large brands (multi-product, multi-region, multi-language) that need to show presence in many AI search/answer surfaces.
- Marketing / SEO / PR teams that want to own their brand narrative in AI agents and have resources to act (content creation, technical SEO, earned content).
- Brands that care about attribution: being able to tie AI visibility → traffic/leads/conversions. Also important for budget justification.
- Organizations undergoing digital transformation or moving toward AI / assistant/LLM surfaces for customer discovery. Or those who see AI-powered search as part of their long-term visibility strategy.
- Competitor-conscious brands: where competitor brands are already appearing in AI agents, being cited, etc.; you want to catch up or lead.
Goodie is less ideal if:
- You are extremely small, with minimal budget and no content/SEO resources. In that case, lower-cost tools might get you some visibility, but the full value of Goodie may be under-utilized.
- You only care about traditional Google / Bing SEO and have no interest (for now) in AI assistants / answer engines. (Though that may be risky long-term.)
- Your content or tech infrastructure cannot respond quickly (e.g. long developer cycles, slow editorial processes, limited content capacity). Because insight without action gives less return.
Pricing Summary & Value Assessment
As mentioned, Goodie does not make all pricing tiers fully public. But from what is known:
- Starting / mid-market usage tends to begin around US$495 / month, depending on number of prompts / topics, models, languages, countries.
- Pricing scales with complexity: more AI agents tracked, more topics, more languages, more support, more content work.
- Likely enterprise / large scale pricing is custom.
Given the depth of features (visibility monitoring + content writer + action hub + attribution + multi-model support + client success), the pricing feels positioned in the upper mid-market / enterprise segment — which is reasonable. The cost is justified when you factor in measurable outcomes (traffic, visibility, leads) and the incremental value of controlling your narrative in AI systems.
How Goodie Compares to Traditional SEO or Alternative Tools
Because Goodie is relatively new in the visibility / AI-search space, it’s helpful to see what you gain (and what to expect) compared to more traditional SEO tools or content-generation tools.
| Compared To |
Gains / Advantages with Goodie |
What You Still Might Need to Complement Goodie |
| Traditional SEO tools (Ahrefs, SEMrush, etc.) |
• Better visibility into AI agents (citations / mentions in responses) rather than just link ranking or keyword rank.
• Ability to optimize for what AI answer engines view as context, sources, trust vs just keywords/backlinks.
• Opportunity to shape narrative and avoid misrepresentation in AI responses.
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You might still need strong technical SEO, link building, site speed, etc. Also, traditional keyword/serp analysis still gives value. Goodie doesn’t replace all SEO tools, but augments them.
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| Content-generation tools / AI writers |
• Goodie helps ensure content is built for what AI engines will use or cite, not just what humans might read.
• Helps avoid wasted content — i.e. content nobody in AI agents sees or cites.
• Helps optimize structure, citations, source trust, and factual alignment.
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You’ll still need good human editing; subject-matter expertise; resources to produce and refresh content. AI writers might give volume, but quality and alignment with AI engine expectations still matter.
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| Alternative AI visibility / GEO tools |
• Goodie’s actionability, its attribution, model-breadth, case studies, enterprise support are competitive differentiators.
• Some alternatives may offer lower entry cost but may lag in model coverage, support, or depth of recommendations.
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Depending on alternatives you compare it with, some may have cheaper plans, stronger integrations, more turnkey content creation; but Goodie’s strength is its integrated, full visibility → action → measurement loop.
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Final Verdict
Goodie AI is, in my view, one of the best platforms available right now for brands that want to lead as the search paradigm shifts from links/pages to AI-powered answers. If your strategy includes:
- appearing (and being fairly / positively cited) in answers from ChatGPT, Gemini, Perplexity, Claude, etc.;
- monitoring and managing narrative and sentiment;
- filling content gaps in topics that matter;
- attributing real business outcomes (traffic, leads) to AI visibility;
- scaling across markets and languages;
… then Goodie offers a compelling, comprehensive package.
If you have the budget, the team, and the willingness to execute, Goodie likely gives you strong ROI: improved visibility, more traffic, more leads, better brand control. It’s not “cheap,” but in this emerging space, you’re paying for strategic advantage.
If I were advising a company today, I’d recommend Goodie AI as a core component of any future-proof search / content / brand narrative stack. It’s not perfect—but it’s one of the best places to place your bet if you believe AI / answer engines are going to keep growing in how people discover information.
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