Goodie AI Alternatives in 2026: Top AI Visibility Tools Comparison

We tested leading Goodie AI alternatives and focused on what actually helps teams fix these gaps. We compared how each tool handles prompt tracking, engine-specific performance, citation sources, competitive insights, and the ability to turn visibility into something measurable.

TL;DR

Analyze AI: The most comprehensive alternative to Goodie AI 

Most GEO tools tell you whether your brand appeared in a ChatGPT response. Then they stop. You get a visibility score, maybe a sentiment score, but no connection to what happened next. Did anyone click? Did they convert? Was it worth the effort? 

These tools treat a brand mention in Perplexity the same as a citation in Claude, ignoring that one might drive qualified traffic while the other sends nothing.

Analyze AI connects AI visibility to actual business outcomes. The platform tracks which answer engines send sessions to your site (Discover), which pages those visitors land on, what actions they take, and how much revenue they influence (Monitor). You see prompt-level performance across ChatGPT, Perplexity, Claude, Copilot, and Gemini, but unlike visibility-only tools, you also see conversion rates, assisted revenue, and ROI by referrer. 

Analyze AI helps you act on these insights to improve your AI traffic (Improve), all while keeping an eye on the entire market, tracking how your brand sentiment and positioning fluctuates over time (Govern).

Your team then stops guessing whether AI visibility matters and starts proving which engines deserve investment and which prompts drive pipeline.

Key Analyze AI features

• See actual AI referral traffic by engine and track trends that reveal where visibility grows and where it stalls.

• See the pages that receive that traffic with the originating model, the landing path, and the conversions those visits drive.

• Track prompt-level visibility and sentiment across major LLMs to understand how models talk about your brand and competitors.

• Audit model citations and sources to identify which domains shape answers and where your own coverage must improve.

• Surface opportunities and competitive gaps that prioritize actions by potential impact, not vanity metrics.

Here are in more details how Analyze AI  works:

See actual traffic from AI engines, not just mentions

Analyze AI attributes every session from answer engines to its specific source—Perplexity, Claude, ChatGPT, Copilot, or Gemini. You see session volume by engine, trends over six months, and what percentage of your total traffic comes from AI referrers. When ChatGPT sends 248 sessions but Perplexity sends 142, you know exactly where to focus optimization work.

Know which pages convert AI traffic and optimize where revenue moves

Most tools stop at "your brand was mentioned." Analyze AI shows you the complete journey from AI answer to landing page to conversion, so you optimize pages that drive revenue instead of chasing visibility that goes nowhere.

The platform shows which landing pages receive AI referrals, which engine sent each session, and what conversion events those visits trigger. 

For instance, when your product comparison page gets 50 sessions from Perplexity and converts 12% to trials, while an old blog post gets 40 sessions from ChatGPT with zero conversions, you know exactly what to strengthen and what to deprioritize.

Track the exact prompts buyers use and see where you're winning or losing

Analyze AI monitors specific prompts across all major LLMs—"best Salesforce alternatives for medium businesses," "top customer service software for mid-sized companies in 2026," "marketing automation tools for e-commerce sites." 

For each prompt, you see your brand's visibility percentage, position relative to competitors, and sentiment score.

You can also see which competitors appear alongside you, how your position changes daily, and whether sentiment is improving or declining.

Don’t know which prompts to track? No worries. Analyze AI has a prompt suggestion feature that suggests the actual bottom of the funnel prompts you should keep your eyes on.

Audit which sources models trust and build authority where it matters

Analyze AI reveals exactly which domains and URLs models cite when answering questions in your category. 

You can see, for instance, that Creatio gets mentioned because Salesforce.com's comparison pages rank consistently, or that IssueTrack appears because three specific review sites cite them repeatedly. 

Analyze AI shows usage count per source, which models reference each domain, and when those citations first appeared.

Citation visibility matters because it shows you where to invest. Instead of generic link building, you target the specific sources that shape AI answers in your category. You strengthen relationships with domains that models already trust, create content that fills gaps in their coverage, and track whether your citation frequency increases after each initiative.

Prioritize opportunities and close competitive gaps

Analyze AI surfaces opportunities based on omissions, weak coverage, rising prompts, and unfavorable sentiment, then pairs each with recommended actions that reflect likely impact and required effort. 

For instance, you can run a weekly triage that selects a small set of moves—reinforce a page that nearly wins an important prompt, publish a focused explainer to address a negative narrative, or execute a targeted citation plan for a stubborn head term. 

Writesonic GEO: Best Goodie AI alternative for turning AI visibility into action

Key Writesonic GEO standout features

• Multi-engine AI visibility tracking with share-of-voice scores

• Prompt-level insights that show which questions mention your brand

• Competitor benchmarking inside the same AI visibility reports

• AI crawler analytics that show how bots read your pages

• Built-in AI SEO and content tools that help fix gaps

Writesonic GEO helps teams who want more than a snapshot of AI answers. It tracks how often AI tools mention your brand, which prompts bring those mentions, and how that picture shifts through time. The platform gives clear charts, simple trends, and prompt lists that help teams understand demand rather than guess it. This turns AI visibility from a static view into a moving signal you can read and act on.

The strength that sets Writesonic apart from Goodie AI sits in its action layer. Goodie centers its value on visibility and reporting, while Writesonic moves deeper into guided changes and content adjustments. It lets teams spot weak topics, open a simple editor, and apply fixes inside the same workspace. This suits teams that want speed, small feedback loops, and less clutter in their tool stack.

Writesonic also helps when SEO and AI work live inside one team. It links GEO signals with classic SEO checks, which shows pages that rank, pages that get cited, and pages that get ignored on both fronts. This view lets teams place smarter bets because one content change can lift results across search and AI engines at once. Goodie focuses more on enterprise reporting, while Writesonic covers the full path from insight to execution.

Writesonic GEO pricing

Writesonic’s pricing starts with Lite (~$39/mo) and Standard (~$79/mo), which offer content and SEO tools but no AI visibility. GEO tracking begins at the Professional plan (~$199/mo annually or $249 monthly) and expands in the Advanced tier (~$399–$499/mo), while Enterprise plans are custom. A free trial is available, and annual billing is cheaper.

Writesonic GEO vs Goodie AI at a glance

Profound: Best Goodie AI alternative for deep enterprise visibility and precise AI snapshots

Key Profound standout features

• Real snapshots that show how AI engines cite your pages

• AI crawler analytics that explain why models surface your content

• Competitive modeling with citation share and visibility scores

• Custom alerts and executive-ready reporting

• Conversation insights that reveal real user queries and trends
  

Profound gives teams a detailed view of how AI engines read and use their content. It captures real snapshots from systems like ChatGPT, Perplexity, Gemini, Copilot, Claude, and others, which helps teams see the full answer, not just a score or trend. These snapshots make it clear when a page appears, how often it is cited, and how that behavior changes as the models update. Profound ties each answer to crawler patterns, which helps teams understand why a model chose a page in the first place.

The platform stands apart from Goodie AI with its focus on depth. Profound was built only for AI visibility, without mixing in SEO audits or content tools. That narrow scope gives enterprise teams cleaner data and stronger confidence in their reporting. Its security features, including SOC 2 Type II and SSO, fit the needs of regulated companies and large teams that need full control over access. Its competitive modeling also goes further than most GEO tools, showing shifts in citation share, topic gaps, and emerging threats across multiple engines.

This depth gives analytic teams more clarity, yet it also shapes how the platform fits into a workflow. Profound focuses on visibility and insight, not execution, so teams still need outside tools to update pages or adjust content. That adds steps for smaller teams that want fast action. The platform is also rich in detail, which can slow down users who do not have strong analytic skill. Integrations continue to improve but remain lighter than older enterprise marketing clouds that serve as full hubs.

Profound AI pricing

Profound AI prices its platform based on each team’s GEO depth, with new starter and growth tiers beginning around $99 and $399 per month for smaller teams that want core citation and sentiment tracking. Full enterprise plans remain custom and unlock broader engine coverage, deeper data access, and security features like SOC 2 and SSO. There is no free tier, and all plans require a paid subscription or demo onboarding.

Profound vs Goodie AI at a glance

Conductor: Best Goodie AI alternative for unifying SEO and AI visibility in one enterprise platform

Key Conductor standout features

• Unified SEO and AI visibility tracking across major engines

• Advanced dashboards for content performance and share of voice

• AI-powered content intelligence and workflow planning

• Deep integrations with BI tools, marketing clouds, and CMS platforms

• AI content creation and optimization support at scale
  

Conductor gives enterprise teams a broad and connected view of how search, content, and AI discovery work together. It brings AI visibility data into the same workspace as SEO metrics, which helps teams see how AI engines cite their content and how those patterns line up with organic search performance. This unified model replaces guesswork with a clear picture of citations, audience intent, and the themes driving visibility across both search and AI answers.

The platform sets itself apart from Goodie AI by covering more than visibility alone. Conductor ties its AI insights to deep SEO intelligence, topic discovery, and audience research, which lets teams understand why certain pages gain or lose traction across different channels. This broader scope works well for organizations that manage large content programs, need strict governance, and want to tie AI visibility to outcomes like traffic, conversions, or brand coverage. Its integration ecosystem also supports complex teams that depend on BI systems, CMS workflows, and marketing clouds.

This strength comes with trade-offs. Conductor is a large platform with many layers, and AI visibility is only one part of that system. The interface can feel heavy for teams that want quick GEO monitoring or straightforward prompt-level trends. The learning curve is also steeper than GEO-only tools, which can slow smaller teams or groups without dedicated SEO or analytics functions. Pricing is custom and enterprise-focused, which puts it out of reach for companies seeking lighter or more affordable GEO solutions.

Conductor pricing

Conductor uses custom, enterprise-tier pricing, with plans tailored to SEO depth, content needs, and AI visibility requirements. There is no standard public tier, and onboarding typically happens through a sales-led process.

Conductor vs Goodie AI at a glance

Semrush: Best Goodie AI alternative for teams that want SEO and AI visibility in one familiar platform

Key Semrush standout features

• AI visibility tracking across major LLMs and AI search surfaces

• Prompt-level insights and competitor benchmarking

• Unified dashboards mixing SEO metrics with AI visibility signals

• Deep keyword, topic, and site audit intelligence from the core Semrush suite

• Tiered plans with growing limits for domains, prompts, and tracked keywords
  

Semrush gives teams a single home where traditional SEO and AI visibility work side by side. Its AI Visibility Toolkit shows how often a brand appears in AI-generated results across ChatGPT, Google AI Overviews, Perplexity, Gemini, and others. These insights help marketers understand which prompts surface their pages, which competitors gain more attention, and how AI engines shape demand beyond Google rankings. Because this lives inside Semrush’s broader ecosystem, teams can compare AI citations with organic search performance without switching tools.

The platform differs from Goodie AI by blending AI visibility with a full SEO stack. Semrush’s long-standing keyword data, backlink index, rank tracking, and site audit tools give teams a wider strategic view. They can spot gaps that affect both search and AI surfaces, plan content for hybrid discovery journeys, and use workflows already familiar to SEO and content teams. For organizations deeply invested in Semrush, adding AI visibility feels natural rather than disruptive, and the data becomes part of established reporting formats.

That reach comes with some trade-offs. Semrush spreads its AI visibility features across multiple modules, so the experience is less focused than a GEO-only tool. Teams that want a compact AI dashboard may find navigation slower and the interface heavier than needed. Semrush is also broad in scope, which means its AI insights may not feel as deep as platforms built only for GEO. Managing prompts, domains, or higher usage often increases cost, and smaller teams may hit limits sooner than expected.

Semrush pricing

Semrush offers tiered subscriptions, and AI visibility tools are included in higher plans or as add-ons. Pricing scales with domains, prompts, and tracked keywords, and most advanced AI features sit within Pro+ or Advanced tiers.

Semrush vs Goodie AI at a glance

Peec AI: Best Goodie AI alternative for fast, multilingual AI visibility tracking

Key Peec AI standout features

• AI visibility and prompt-level tracking across major LLMs

• Competitor benchmarking for shared prompts and topics

• Source citation insights showing which URLs models surface

• Multilingual and multi-region monitoring across global markets

• Clear dashboards with tiered plans for different prompt volumes
  

Peec AI helps teams see how their brand shows up inside AI-generated answers across ChatGPT, Perplexity, Claude, Gemini, and other emerging engines. It focuses on prompt-level visibility, showing which questions lead to mentions, which URLs get cited, and how those signals shift across markets and languages. This gives marketers a clearer picture of early AI discovery patterns — without forcing them to adapt to a heavy enterprise platform. Its support for multilingual and multi-region tracking stands out, especially for brands that operate beyond English-speaking markets.

Peec AI differs from Goodie AI by centering its product around simple, fast GEO analytics rather than broader reporting or enterprise workflows. The platform gives a clean, focused view of prompts, engines, and citations, which helps teams understand visibility gaps faster. Its pricing also makes it easy for startups, agencies, and mid-market companies to begin GEO tracking, since the Starter and Pro tiers offer strong coverage without enterprise-tier costs. For many teams, the combination of multilingual monitoring and competitive pricing makes Peec an appealing option.

Peec’s focused design also creates limits. The platform tracks visibility well but offers fewer prescriptive insights or strategic recommendations than more advanced GEO tools. Users often need outside tools or manual workflows to decide how to act on prompt-level gaps. Support is centered in European time zones, which can affect responsiveness for global teams. Some enterprise features, like SOC-2 compliance, SSO, or deeper API options, are still developing. Lower-tier prompt limits may also push growing teams to upgrade sooner than expected.

Peec AI pricing

Peec AI offers structured tiers: Starter (~€89/month), Pro (~€199/month), and Enterprise plans with higher prompts, deeper analytics, and optional add-ons for engines like Gemini or Claude. All tiers include unlimited seats and multi-region coverage.

Peec AI vs Goodie AI at a glance

MarketMuse: Best Goodie AI alternative for teams that want deeper content intelligence behind their AI visibility strategy

Key MarketMuse standout features

• Topic modeling and content scoring that reveal depth, coverage, and authority

• Inventory-wide analysis to find gaps, decay, and high-impact refresh opportunities

• AI-driven recommendations for creating, updating, or pruning content

• Research workflows and detailed content briefs with topic outlines and questions

• Competitive insights and SERP context to guide content prioritization
  

MarketMuse helps teams build content that aligns with how modern search engines and AI systems evaluate authority. Its topic models analyze how well a page covers a subject and where it falls short, giving teams insight that goes far beyond simple keyword usage. By assessing content depth and related subtopics, MarketMuse guides creators toward building pages that answer questions with clarity and breadth — the kind of content that AI engines tend to cite and surface.

The platform sets itself apart from Goodie AI by focusing on the upstream strategy behind visibility rather than tracking visibility itself. MarketMuse gives teams the structure and intelligence needed to craft content that AI engines and SERPs recognize as authoritative. This makes it valuable for teams that manage large content libraries or operate in competitive niches where topical depth matters. While not a GEO platform, it complements GEO tools by helping teams understand why certain pages earn mentions and how to improve their content foundation.

That strategic emphasis also introduces trade-offs. MarketMuse does not track AI-generated answers or prompt-level visibility, so teams still need GEO-specific tools to measure performance across LLMs. Its pricing scales with inventory size and feature depth, which can make the platform harder to justify for small teams. The richness of its workflows can also create a learning curve, as topic modeling and content scoring require understanding and time to use well.

MarketMuse pricing

MarketMuse offers tiered plans, with higher-priced packages unlocking larger content inventories, advanced recommendations, and full strategic workflows. Pricing scales with team size and content volume, and full access is typically aimed at mid-sized or enterprise teams.

MarketMuse vs Goodie AI at a glance