
Passionfruit Labs
Passionfruit · Marketing
Passionfruit Labs is an AI search optimization platform built for brands and agencies that want to know how large language models actually talk about them. It tracks page-level citations, brand sentiment, and revenue attribution across ChatGPT, Claude, Gemini, and Perplexity, then turns that data into a ranked action plan instead of a wall of dashboards. If you run content or SEO for a growing company, the pitch is simple: see where you're invisible in AI answers, and get told what to write next. That's the whole promise.

About Passionfruit Labs
What Is Passionfruit Labs
Passionfruit Labs is the self-serve software arm of Passionfruit, a company that also runs a managed SEO and answer engine optimization agency. The Labs product focuses on one job: measuring and improving how often AI assistants mention, recommend, and cite your brand. It watches four major AI platforms and reports what each one says about you. Nothing more, nothing less.
The core problem it targets is that AI search hides its work. When someone asks ChatGPT for a product recommendation, there's no ranking page to inspect and no keyword position to track. Passionfruit Labs replaces that missing view with citation tracking and share-of-voice numbers, so marketers can treat AI answers as a channel they can actually measure.
The biggest limit is scope. This is a GEO analytics tool, not a full SEO suite. It won't audit your technical SEO, crawl your site for broken links, or run classic rank tracking against Google. It's aimed at teams that already have SEO covered and now need a handle on AI-driven discovery. Pricing is region-neutral, and the platform is web-based, so there's nothing to install.
Getting Started
- Sign up for the 7-day free trial at the Labs app and connect the brand domains you want tracked.
- Pick the AI platforms to monitor and add the competitors you care about.
- Review your AI share of voice and the prompts where your brand stays invisible.
- Work through the prioritized content suggestions, like new collection pages, blog posts, or backlink targets.
- Track citation counts, sentiment, and AI-attributed revenue over time to see what moved.
Product Information
A quick look at Passionfruit Labs's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Brand and growth marketers
- SEO and content teams
- Agencies
Tasks
- Finding blind spots
- Tracking brand sentiment
- Attributing revenue
Scenarios
- Launching a new product
- Competing in a crowded category
- Content planning for the quarter
Key features
Page-Level Citation Tracking
Most GEO tools stop at counting mentions. Passionfruit Labs traces which specific URLs get cited inside AI answers, so you can see whether ChatGPT and Perplexity are quoting your product pages, your blog, or a competitor's comparison post. That URL-level detail is what tells you which content already earns trust with the models and which pages are dead weight. Worth a look.
AI Share of Voice
The platform plots your visibility against competitors over time, ranking brands by how often they appear in AI answers for your tracked prompts. Think of it as the AI equivalent of a search ranking, except the unit is a citation rather than a blue link. Simple idea, real signal. Watching the line move after you publish is the fastest way to know if your content strategy is working.
Brand Sentiment Analysis
Beyond whether you show up, the tool reads the tone of how you show up. It flags when AI engines describe your brand with stale information or borrow a competitor's framing, letting you correct the narrative before it hardens. That stings. For anyone who's been mischaracterized by a chatbot, this is the part that earns its keep.
Competitor Benchmarking
You can benchmark against both direct and indirect competitors, seeing who dominates top queries, who collects the most citations, and who enjoys the better sentiment. The competitor view also reveals which rival pages are actually winning citations, which is a concrete list of content to study and beat.
Prioritized Action Plans
The differentiator here is direction. Rather than dropping you into a dashboard and wishing you luck, Passionfruit Labs' engine returns step-by-step suggestions: write a specific blog post, create a collection page, pursue a backlink from a named publication. Each item is ranked, so you work top-down instead of guessing what matters. No mystery. Just a list.
Revenue Attribution
The tool tracks revenue from each AI channel. A mention becomes a dollar figure. Sessions and revenue get tied back to ChatGPT, Perplexity, or whichever engine drove them. Ever struggled to justify spend on an AI search tool? This is the number that settles it.
Team Collaboration and Global Pricing
Every plan includes unlimited seats, which matters for agencies juggling clients and for in-house teams where marketing, SEO, and content all need access. Pricing is the same worldwide instead of shifting by region, which keeps budgeting predictable.
Pros and cons
Pros
- Tracks citations at the page level with URL analysis, which most competitor tools skip.
- Connects AI visibility to revenue instead of leaving you with mentions alone.
- Ships a ranked action plan, so you leave with tasks rather than raw data.
- Unlimited seats on every tier makes it easy to onboard a whole team or several clients.
- Starts around $19/month, well below the $500+ entry prices common among legacy GEO platforms.
Cons
- It won't replace an SEO suite; there's no technical audit or Google rank tracking, so you'll still need separate tools.
- API availability isn't documented publicly, which is a problem if you planned to pull this data into your own dashboards.
- Not ideal. Coverage is limited to ChatGPT, Claude, Gemini, and Perplexity, so brands relying on smaller AI engines won't see the full picture.
Frequently asked questions
It's an AI search optimization platform that handles AI visibility tracking: it monitors how ChatGPT, Claude, Gemini, and Perplexity mention, cite, and describe your brand, then suggests content actions to improve that visibility. Call it generative engine optimization analytics plus a to-do list for AI search.
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