Aside vs GoodLads: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Aside and GoodLads — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Aside

Aside Computer Inc.

Freemium

A Chromium desktop browser with a built-in agent that signs in and completes real work across your logged-in sites.

Agentic Browsing: The agent operates your logged-in websites directly - clicking, typing and navigating - so tasks that need no public API still get done.
Local Memory: Browsing history is distilled into on-device memory files so the agent already knows which tools and accounts a recurring task involves.
Agent Password Manager: Credentials are autofilled into pages through hardware-backed encryption and Secure Enclave storage, never handed to the model.
Human Approval Gates: Sensitive steps such as payments, posts and outbound messages pause for your confirmation before the agent proceeds.
Access Audit Log: Every credential use and scoped permission grant is recorded so you can see exactly what the agent touched and when.
Routines: Scheduled recurring tasks, such as a 9am daily briefing, run on their own and drop results back into the browser.
Bring Your Own Model: Connect an existing ChatGPT or Claude subscription or your own API key rather than paying twice for inference.
Sandboxed Execution: Filesystem and network access are isolated with guardrails so agent runs cannot reach beyond what the task needs.

Operations Backfill: Push the same record update through several internal dashboards that have no shared API.
Recruiting Prep: Reopen a candidate profile viewed yesterday and assemble interview notes from the sites already visited.
Inbox and Comment Triage: Draft replies, follow-ups and comment responses across email and social accounts under review.
Daily Briefing: Schedule a routine that gathers overnight metrics and trending topics into one morning summary.
Sales Research: Work through prospect sites and CRM screens to collect context before an outreach sequence.
Spreadsheet and Document Work: Have the agent edit local files and web spreadsheets as part of a longer task.

Paid

AI growth manager for Google Ads that turns account performance into testable hypotheses and ships each one only on your approval.

Hypothesis Feed: Daily analysis of search terms, keyword quality, geography, and audiences produces a ranked list of ideas, each naming the campaign and the spend at risk.
One-Click Shipping with Approval Gate: Any proposed change is applied in a single click but never without explicit owner approval, and live ads are not edited directly.
Kanban Verdict Board: Hypotheses move through Proposed, Scheduled, Live, and Completed so every test ends with a measured verdict rather than being forgotten.
Account Treemap Overview: Campaign spend, conversions, and ROAS roll into one visual overview sized by spend and coloured against the account average.
Least-Risky Lever Selection: Recommendations favour reversible mechanisms such as 50/50 RSA experiments, stepped target CPA changes, and new paused assets.
Predicted vs Measured Reporting: Each completed experiment compares the predicted lift against the actual result, with budget shifting to the winner.
Claude Code and Codex Integration: The same workflows can be driven from Claude Code or Codex for teams that work from a coding agent.

Performance Review: Get a single overview of how every campaign is doing on spend, conversions, and ROAS without building reports by hand.
Wasted Spend Discovery: Surface negative keyword opportunities, poor keyword-ad combinations, and geography issues that are draining budget.
Budget-Capped Campaigns: Identify campaigns limited by budget and lower target CPA in reversible steps to buy cheaper conversions at the same spend.
Ad Copy Testing: Run benefit-led versus price-led headline experiments as 50/50 splits instead of editing live ads.
Seasonal Campaign Prep: Stage seasonal copy and sitelink assets in advance, ready for one-click approval when demand spikes.
Agency Account Management: Manage optimisation hypotheses across multiple client accounts from one board with a shared approval workflow.