Hook: Your clients spend millions on brand storytelling. AI decides what the world actually hears. This playbook shows you what we built, how it works, and how you sell it.
What You Will Learn
- What Rankfor.AI does and why it exists
- The four metrics that define AI visibility, explained in language your clients understand
- How a website scan works and what it produces
- The five Playground dashboard widgets and how to walk a client through each one
- Pricing tiers, which to recommend, and your partner margin structure
Total Time: 20 minutes | Difficulty: Beginner
Quick Wins (Do These Now)
- Scan your own agency website at rankfor.ai to get a firsthand experience (2-5 min)
- Ask ChatGPT: "What are the best digital marketing agencies in [your city]?" and note whether you appear (1 min)
- Pick one client you want to pitch AI visibility to this week (1 min)
You will understand everything in this playbook better with your own scan data in front of you.
Why This Platform Exists
AI has become the new discovery layer. When a buyer asks ChatGPT, Claude, or Gemini for a recommendation, AI gives one answer. If your client is missing from that answer, they are invisible to an entire generation of buyers who never touch a search engine.
Brands spend millions crafting their story. They control their website, their social media, their ad campaigns. They control nothing about what AI says when someone asks "Who is the best in this category?"
Rankfor.AI is an AI visibility intelligence platform. We help marketers see what AI already believes about their brand, measure whether that belief is accurate, and fix what is wrong.
Three facts ground our credibility:
- 9 peer-reviewed academic papers submitted to Springer Nature journals. Every method we use is documented and under review.
- 190,000+ AI responses analyzed across industries, languages, and AI models with 1M+ Personas in our dataset.
- 12 languages supported with locale-aware scanning that detects how AI treats brands differently depending on the language of the query.
Pro Tip: When introducing the platform to a client, lead with their specific pain. "AI gives one answer. If your competitor gets that answer, you lose the deal before you know it exists." Credibility numbers come second. The pain comes first.
The Four Metrics
AI visibility is measured across four dimensions. Each one diagnoses a different problem. Here is how to explain them to a CMO who has never heard of AI visibility.
Brand Recall
The question it answers: "Does AI mention your brand at all?"
When someone asks AI about your client's category, does the brand show up in the response? Brand Recall measures the percentage of relevant questions where AI includes your client by name.
A score of 70% means AI mentions the brand in 7 out of 10 relevant conversations. A score of 15% means the brand is invisible for most buyer questions.
How to explain it to clients: "We asked AI thirty questions that your buyers would ask. Your brand appeared in the answer [X] times out of thirty. Your main competitor appeared [Y] times."
Message Alignment
The question it answers: "Does your content match the language buyers use when asking AI?"
A brand might talk about "enterprise resource planning solutions." Buyers ask AI about "how to manage inventory across warehouses." If the language does not match, AI cannot connect the brand to the question.
High Message Alignment means AI understands what the brand does and connects it to the right buyer questions. Low alignment means the brand shows up for the wrong topics, or not at all, because the vocabulary does not match.
How to explain it to clients: "Your website talks about [technical term]. Your customers ask about [plain language version]. AI cannot bridge that gap for you."
Value Understanding
The question it answers: "Can AI explain why your brand matters?"
There is a difference between AI mentioning a brand and AI recommending it. Value Understanding measures whether AI can articulate the brand's value proposition. Can AI say "This company is recommended because of their industry expertise, proven results, and responsive support"? Or does it just say "This is an option"?
How to explain it to clients: "AI mentions your competitor and says why they are great. AI mentions you and says nothing else. Buyers see two brands in the same answer and one has a reason to choose them. You do not."
Content Structure
The question it answers: "Can AI find and reference your content?"
Even if a brand has excellent content, AI needs that content organized in a way it can parse, reference, and cite. Content Structure measures how well the website is set up for AI to use as a source.
Low Content Structure means AI struggles to point users to specific pages. The content exists, but AI cannot navigate it.
How to explain it to clients: "Your website has the answers your buyers need. AI cannot find them because the content is structured for humans browsing, not for AI answering questions."
Checkpoint: You can explain all four metrics in plain language without using technical terms. Test yourself: explain each metric in one sentence to a colleague who knows nothing about AI visibility.
How Scanning Works
The scanning process is straightforward. Here is what happens when you enter a client's website URL.
Step 1: Enter the URL
Go to the AI Visibility Monitor or the Playground dashboard. Enter any website URL. No integrations, no API keys, no client-side installation required.
Step 2: AI Analyzes the Site
The scanner crawls the website (100 pages for a standard scan, 500 for deep) and analyzes the content across multiple dimensions:
- Territories: Topic areas AI associates with the brand. For a logistics company, territories might include "last-mile delivery," "warehouse automation," and "cold chain management."
- Language detection: The scanner identifies the site's primary language and adjusts analysis accordingly.
- Industry detection: The scanner auto-detects the industry vertical and applies industry-specific benchmarks.
Step 3: Personas Are Matched or Generated
Based on the content and territories, the platform generates AI personas or recommends the closest ones. These represent who AI thinks the brand's audience is. Each persona includes:
- A name and role description
- The questions this persona would ask AI
- Which territories the persona cares about
- Where the brand is strong or weak for this specific audience
Step 4: Results Arrive
For a standard-tier scan, the entire process takes 30 to 60 minutes. The client gets:
- An overall AI Visibility Score (0-100)
- Four sub-metric scores (Brand Recall, Message Alignment, Value Understanding, Content Structure)
- A Brand DNA Map showing how AI sees the brand
- Generated personas with coverage analysis
- Competitive positioning data
- A content plan with specific recommendations
Pro Tip: Always pre-scan the client's website before a demo or pitch meeting. You want to walk in with their data already loaded, not wait in an awkward silence. Pre-scanning also lets you identify the story arc before the meeting starts.
The Playground Dashboard
After scanning, the client lands on the Playground dashboard. It displays five widgets in order. Each widget serves a specific purpose in the narrative.
Widget 1: AI Visibility Score
What it shows: The overall diagnosis, expressed as a single number from 0 to 100, broken down into the four sub-metrics.
Why it matters for the sale: This is the "blood test result." It gives the client a concrete, measurable starting point. Most brands score between 30 and 60. Almost nobody has optimized for AI visibility yet, so most scores reveal significant gaps.
How to present it: Start with the overall number. Then zoom into the weakest metric. "Your overall score is 48. The biggest issue is Brand Recall at 22%. AI simply does not mention your brand for most buyer questions."
Score classifications:
| Range | Classification | What It Means |
|---|---|---|
| 90-100 | Leader | AI treats the brand as a category authority |
| 70-89 | Challenger | Strong presence with room to grow |
| 40-69 | Foundation Builder | Significant gaps that competitors exploit |
| Below 40 | Unknown | AI barely knows the brand exists |
Widget 2: Brand DNA Map
What it shows: A visual map of how AI sees the brand. Territories (topic clusters) are plotted showing which topics AI associates with the brand and how strongly.
Why it matters for the sale: Clients see their brand through AI's eyes for the first time. Often, the map reveals surprising gaps. A cybersecurity company discovers AI does not associate them with "cloud security." A logistics firm finds AI thinks they only do "warehousing" and misses "last-mile delivery" entirely.
How to present it: "This is your brand's AI DNA. These clusters are the topics AI connects to your brand. Notice that [strong territory] is well covered. But [missing territory], which is core to your business, is barely visible. AI does not associate you with it."
Widget 3: Personas
What it shows: AI-generated buyer personas with their questions, needs, and how well the brand covers each persona's territory.
Why it matters for the sale: Personas make the data personal. Instead of abstract scores, the client sees specific buyer types who are not being served. "This persona, a Head of Engineering looking for development partners, asks AI five questions about your category. Your brand appears in zero of those answers."
How to present it: Pick one persona that matches the client's actual buyer. Show the gap between what this persona asks and what AI delivers about the brand.
Widget 4: Dice Roller
What it shows: A hallucination verification tool. It asks the same question to AI multiple times (5+ iterations) and measures how consistently AI mentions the brand and delivers the same messages.
Why it matters for the sale: This answers the objection "Maybe AI just got it wrong once." The Dice Roller proves whether the brand's presence (or absence) is consistent or random. Brand Stability shows how often the brand appears across repeated queries. Message Stability shows what AI always says versus what it sometimes invents.
How to present it: "We asked AI the same question five times. Your brand appeared twice out of five. Your competitor appeared all five times. That consistency gap is the problem."
Widget 5: Content Plan
What it shows: Specific content recommendations generated from the scan data. Organized by persona and territory, the Content Plan shows what to write, for whom, and targeting which topic gaps.
Why it matters for the sale: This is the fix. Everything before this widget diagnoses the problem. The Content Plan provides the prescription. Each content piece targets a specific gap in the brand's AI visibility.
How to present it: "The scan found the gaps. The Content Plan tells you exactly what to publish to close them. These are not generic blog post ideas. Each article targets a specific question your buyers ask AI, where your brand currently does not appear."
Checkpoint: You can walk through all five Playground widgets in order, explaining the purpose and client value of each one. Practice the narrative: diagnosis (Score), context (DNA Map), audience (Personas), proof (Dice Roller), action (Content Plan).
Pricing and Partner Recommendations
Four Tiers
The platform offers four pricing packages. Each tier builds on the previous one.
| Starter | Marketer | Strategist | Enterprise | |
|---|---|---|---|---|
| Annual Price | €96/mo | €196/mo | €496/mo | Custom |
| Monthly Price | €116/mo | €236/mo | €596/mo | Custom |
| Positioning | Foundation | Editorial teams | Deep intelligence | Research infrastructure |
| Seats | 1 | 1 | Up to 3 | Unlimited |
Starter (Entry Level)
- AI Visibility Score with four-metric breakdown
- Brand DNA Map
- AI-discovered Personas with coverage analysis
- Search prompts
- AI Visibility Dashboard
- Easy Data Export
Best for: Clients who want to understand their current position. Answers "Am I invisible to AI?"
Marketer (Content Teams)
- Everything in Starter
- Strategy Dashboard
- Content Plans with article briefs
- Battle Cards for competitive positioning
- Custom branding in PDFs
Best for: Editorial teams shaping their AI narrative. Answers "How do I fix the gaps?"
Strategist (Recommended Default)
- Everything in Marketer
- Dice Roller hallucination verification
- Competitive intelligence across multiple competitors
- Advanced AI Visibility visualizations
- Quarterly Business Reviews
Best for: Clients who want deep persona intelligence and competitive gap analysis. This covers the full diagnostic-to-action workflow.
Enterprise (Research Infrastructure)
- Everything in Strategist
- Know "Why AI Picked You" analysis
- Advanced AI Visibility research tools
- Surgical persona-to-content gap analysis
- Team training sessions
- Unlimited seats
Best for: Multi-brand or multi-market enterprises that need research-grade AI visibility analysis and dedicated support. Pricing is custom based on scope.
Default Recommendation: Strategist
For most client conversations, recommend the Strategist package at €496/mo (annual). Here is why:
- It includes the Dice Roller, which is the most convincing demo moment. Showing a client that AI hallucinates about their brand is a powerful motivator.
- Battle Cards make competitive positioning concrete. Clients see exactly where they lose to competitors.
- Advanced visualizations help clients understand AI reasoning at a deeper level.
- Quarterly Business Reviews keep clients engaged and reduce churn.
When to Adjust
Recommend Starter when:
- The client has never heard of AI visibility and needs education first
- Budget is constrained and you need a low-risk entry point at €96/mo
- You want to land the account and expand later
Recommend Marketer when:
- The client has an editorial team that needs actionable content plans
- They want branded PDF reports for internal stakeholders
- Budget sits between Starter and Strategist
Recommend Enterprise when:
- The client operates in multiple markets or languages
- They manage more than one brand under a parent company
- They have an in-house team that needs dedicated training and support
- The engagement requires unlimited seats and custom scoping
Partner Margin Structure
As a certified partner, you receive margin on every client subscription you bring to the platform. The structure rewards commitment:
| Volume | Partner Margin | Notes |
|---|---|---|
| 1-5 active clients | 20% | Standard partner rate |
| 6-15 active clients | 25% | Growth tier |
| 16+ active clients | 30% | Premium partner |
Margins apply to the recurring subscription fee. Partners who bundle AI visibility services on top of the platform subscription (content creation, strategy consulting, monthly reporting) typically achieve 3-5x the platform fee in service revenue.
Pro Tip: The platform subscription is your anchor, not your revenue center. The real money is in the service layer you build on top: monthly AI visibility audits, content creation targeting the gaps the platform identifies, competitive monitoring reports, and quarterly strategy reviews. Position the platform as infrastructure. Position your agency as the strategist.
Competitive Positioning
When clients ask how Rankfor.AI compares to other tools, here is the honest positioning:
"Others report. We fix."
Most AI visibility tools show a score. They tell you whether AI mentions your brand. That is where they stop. Rankfor.AI generates the specific content that makes the score go up. The Content Plan and Content Layer are the differentiators.
Academic rigor: Nine academic papers submitted to peer-reviewed Springer Nature journals. Every methodology is documented. When a client asks "How do you calculate this?" you have a published, reviewable answer.
Speed: A full scan with personas, territories, and content recommendations takes under 60 seconds. Competitors require days of manual analysis.
Multilingual: Twelve languages with locale-aware scanning. Our research shows that the language of the query changes which brands AI recommends. A brand visible in English may be invisible in German. We measure both.
Client: Mid-market B2B software company (HR technology) Challenge: Strong SEO rankings (positions 2-5 for main keywords) but zero presence in AI recommendations. When prospects asked ChatGPT "What is the best HR software for mid-market companies?" the brand never appeared. Three competitors with weaker SEO showed up consistently. Results: After initial scan, discovered Brand Recall at 8% and Content Structure at 31%. The content was well-written but structured for human readers browsing pages, not for AI extracting answers. After 90 days of Content Plan execution: Brand Recall increased to 44%, Content Structure reached 62%, and the sales team reported that prospects started mentioning "AI recommended you" during discovery calls.
Where to Go From Here
This Week:
- Scan your own agency website and review your AI Visibility Score
- Scan one client's website to prepare for your first pitch
- Read Video Demo Script and Talking Points to prepare your presentation narrative
Next 2 Weeks:
- Read Running a Live Demo for step-by-step demo guidance
- Schedule your first client demo meeting with pre-scanned data
- Review Closing and Pricing for deal management
Ongoing Reference:
- Bookmark Technical FAQ for Partners for handling client questions
Related Playbooks
- Video Demo Script and Talking Points - The six-beat narration structure for personalized demos
- Running a Live Demo - Step-by-step Playground walkthrough with timing
- Closing and Pricing - ROI talking points and follow-up workflow
- Technical FAQ for Partners - Answers to common client questions
- What Is AI Visibility? - Share this with clients who need the fundamentals
Ready to see the platform in action?
Scan a Client Website - Run your first AI Visibility scan and see the Playground dashboard with real data.
Or Book a Partner Onboarding Call to walk through the platform with the Rankfor.AI team and get your partner credentials.