Goodie 2.0 went live last week, and the response from users has already shaped how we’re talking about it. This blog breaks down the platform changes in more detail.
Faster, more intuitive, and more powerful than ever. Every detail has been reconsidered with one goal in mind: giving teams the clearest, most actionable view of their AI search performance.
This release reflects months of conversations with users, long stretches of work with our product team, and a sharper sense of where AEO is headed. The result is a platform that meets the moment and prepares marketers for what comes next.
Most AEO tools stop at monitoring and visibility. Goodie 2.0 keeps going, into agents, actions, and outcome measurement, closing the loop between what marketing teams learn and what they ship. Research, action, and measurement now live in a single platform, built for teams running AI search at scale.
1. A Cleaner, Faster Experience
The first thing users will notice is the interface. We’ve rebuilt the dashboard from the ground up, so the metrics that matter most surface immediately. Visibility scores, share of voice, position rank, and brand mentions now sit at the top of the page, with cleaner charts and quicker load times throughout the platform.
Navigation has been simplified. Filters respond faster. The weekly reports marketing teams pull together every Monday morning now take fewer clicks to assemble.
2. Revamped Competitor Tracking & Optimization
This is the area we’re most excited about. Competitor tracking now includes:
- Direct visualizations of brand mentions against competitor positions. Marketers can see exactly where they sit relative to the brands that matter most across every prompt and surface we monitor.
- Average position over time. Visibility trends are tracked week over week and quarter over quarter, making it easy to identify when a strategy moved the numbers and when it didn’t.
- A heatmap of impact variables across our top AEO metrics. This view gives marketing teams a read on business positioning and brand perception inside AI surfaces. The data informs AEO strategy with more confidence and less guesswork. Built on the back of our iconic AEO Periodic Table.
- Percentage delta change between brands and their competitors. Gaining ground in AEO, or losing it? The numbers are right there, no spreadsheet required.
Together, this dataset answers the question every marketing team is asking us right now: how do we actually compete inside AI search? Goodie 2.0 puts the answer on screen and offers the recommendations to act on it.
3. Function-Specific Agents
Goodie 2.0 introduces function-specific agents built around the jobs AEO teams actually do: surfacing competitive gaps, drafting optimization briefs, and prioritizing which prompts to target. Each agent works inside the same workspace as the underlying data, so the path from insight to output no longer requires a handoff.
4. Stronger Integrations Across the Stack
Coverage has expanded across the board. Goodie 2.0 monitors more prompts, more surfaces, and more data sources, giving teams a fuller picture of how their brand performs across the AI ecosystem. Deeper integrations with the tools enterprise marketing teams already run mean that the picture shows up where work happens, not in a separate tab.
5. Sharper Recommendations
The recommendations engine is sharper, too. Suggestions are tied directly to the gaps Goodie detects in visibility, content, and competitive position, with clearer prioritization so teams know which moves matter most this week.
How to Access Goodie 2.0
Visibility is the start of AEO, not the end of it. Goodie 2.0 connects research, action, and measurement in one platform, tying the work AEO teams put into the business outcomes it drives. The loop is no longer a hand-off across tools. It’s a single workflow.
Teams looking to see Goodie 2.0 in action can book a demo with our team to get started.
