AIRepScore User Guide

Version: 1.1
Date: August 24, 2026
Audience: Customers, prospects and external users
Platform: airepscore.ai
Related: docs/AIREPSCORE_FRAMEWORK_v1.0.md, docs/SUBSCRIPTION_PLANS.md
Knowledge Hub: #how-to/airepscore-user-guide (EN + NL via language switcher)

About this document

This guide walks you through AIRepScore from registration to running scans, reading results, and upgrading your plan. It is written for marketing, strategy, brand, and consulting users who want to understand how AI systems perceive and recommend their brand — not for platform administrators.

Each section references sample screenshots where helpful. Screenshots live under /ui/assets/uploads/ using the playbook-XX-*.png naming convention.

Screenshot convention:

Interpretation disclaimer

AIRepScore results are indicators of how AI systems perceive and recommend a brand at a given point in time. They are intended for strategic intelligence and should not be used as the sole basis for business, legal, financial or procurement decisions.

AIRepScore measures AI perception — what large language models know, understand, and structure about your brand from their training data (and, where applicable, live web search). It does not measure objective truth, SEO visibility, social media performance, customer satisfaction, market share, or brand awareness.

When reading scores, always consider them together with Confidence, Consistency, model divergence, and your project context (region, sector, B2B/B2C profile, and peer set).

Table of contents

1. What is AIRepScore?
2. Plans at a glance
3. Access & registration
4. First login & welcome
5. Understanding the interface
6. Create a project
7. Set up peers & competitors
8. AI Credibility scan
9. AI Brand Perception scan
10. AI Positioning
11. AI Recommendation
12. Overview module
13. Scan queue (scheduled scans)
14. Profile & account
15. Upgrading to a paid plan
16. Collaborating with colleagues
17. Sample projects (demos)
18. Frequently asked questions & troubleshooting
19. Screenshot index
20. Quick-start checklist

1. What is AIRepScore?

AIRepScore measures how AI systems (ChatGPT, Claude, Gemini, Mistral, Perplexity) perceive, position, and recommend your brand or organization. It does not measure SEO, social media, or customer satisfaction — only AI perception.

The platform is built around four modules that follow a clear analytical progression:

Analytical progression:

Recommended first journey:

Diagram or homepage section “AIRepScore Framework” showing the four layers (Reputation → Perception → Comparison → Recommendation).

2. Plans at a glance

New accounts automatically start on the Free scan plan. There is no automatic end date — the account stays free until you upgrade or AIRepScore terminates the account (see terms).

* 1 AI Credibility scan on the free scan plan — your low-threshold entry point to discover how AI sees your brand.

Important: All four modules remain visible in the navigation at every plan level. If a module is not included in your plan, you see a clear explanation in the module itself plus a link to Upgrade plan — this is intentional, not an error. It helps you understand the full AIRepScore framework and what becomes available when you upgrade.

Legacy plans: Some existing customers remain on Starter or Professional (grandfathered). New sign-ups follow Free scan → AIRepScore Monitor → Enterprise.

“Plans & upgrade” page with the three plan cards (Free scan, AIRepScore Monitor, Enterprise) and the current plan highlighted.

3. Access & registration

3.1 Getting access

Depending on when you join, access may be invitation-based or self-service:

If you received an invite, open the link in the email (format: https://airepscore.ai/register?token=…).

3.2 Registration via invitation

Step 1 — Open the invitation link

You receive an email with a link such as:

📸 SCREENSHOT: playbook-03-invite-email.png
Example invitation email with the registration link.

Step 2 — Accept your invitation

1. The link opens the “Accept your invite” screen
2. Your email address is fixed (not editable)
3. Optionally enter your full name
4. Click “Send sign-in code”

Registration screen with pre-filled email address and sign-in code button.

Step 3 — Verify with OTP code

1. Check your inbox (spam folder too)
2. You receive a 6-digit code (valid for 10 minutes)
3. Enter the code on the “Check your inbox” screen
4. Check “I agree to the Terms and Conditions”
5. Click “Verify”

OTP entry screen with terms checkbox.

Step 4 — Account is created

After verification:

• An organization (your workspace) is created automatically
• You are assigned to the Free scan plan
• You are logged in via a secure session (no password needed)

3.3 Logging in (existing users)

1. Go to airepscore.ai and click Log in
2. Enter your email address
3. Click “Send sign-in code”
4. Enter the 6-digit code

Login screen with email field and “Send sign-in code” button.

Note: AIRepScore uses passwordless login (OTP via email). There is no password to remember.

3.4 Self-service registration

When self-service registration is available:

1. Go to the homepage
2. Scroll to “Sign up now and measure your AIRepScore for free!”
3. Enter your email and click “Send sign-in code”
4. Follow the same OTP steps as above

Homepage with sign-up CTA at the bottom of the page.

4. First login & welcome

4.1 Welcome screen

On your first login, a welcome message appears:

“Create your own project to measure your AIRepScore™, or explore the two sample projects (Rijksmuseum and IKEA) that are ready for you.”

What now? You have two options:

Welcome popup after first login.

4.2 First look at the app

After the welcome screen, you land in the logged-in app with:

• Left sidebar — navigation to all modules
• Top bar — language, profile menu, dark mode
• Module header — title + brief explanation of the active module

If you do not yet have your own project, a sample project (Rijksmuseum or IKEA) is automatically set as the active project.

Full app layout with sidebar, top bar, and module content (e.g. Overview).

5. Understanding the interface

5.1 Main navigation (sidebar)

Account menu (bottom of sidebar or via profile icon):

Sidebar with all menu items, one item highlighted as active.

5.2 Context bar (in scan modules)

At the top of each scan module, you see a context bar with:

• Project — dropdown to switch projects
• Profile — B2B or B2C
• Region — configured region of the project
• Last scan — date/time of last session
• Models — number of active AI models used in scoring
• Period filter — Latest / 7d / 30d / 90d / All
• Start scan — primary action button

AI Credibility context bar with project dropdown and “Start scan” button.

5.3 Language

• Interface: Dutch or English (toggle in top bar or Profile)
• AI scan results (narratives, reasoning): remain English
• URL /nl/ for Dutch marketing pages

Language selector EN | NL in the top bar.

6. Create a project

A project is the analysis context for one brand or organization. Everything you scan is tied to a project. Accurate project setup is essential — incorrect naming or profile settings can skew how results should be interpreted.

6.1 Go to Projects

1. Click Projects in the sidebar
2. You see a project list on the left and the detail panel on the right

📸 SCREENSHOT: playbook-13-projects-empty.png
Projects page with empty list and text “Select a project or create a new project”.

6.2 Create a new project

1. Click + New (top right in the project list)
2. Fill in the form under Core:

1. Click Save

New project form, Core section, with filled fields and B2B/B2C toggle.

Project name vs. Organization name

• Project name is for your internal navigation (e.g. “Q2 2026 tracking — Acme NL”).
• Organization is what AI models evaluate. Use the name AI would recognize in conversation.

Company name vs. brand/product name

• B2B: use the legal or trading company name (e.g. Siemens, Deloitte).
• B2C: use the consumer-facing brand (e.g. IKEA, not the parent holding company), unless you deliberately measure corporate reputation.

Why Region matters

Region selects the market context for model weighting. A B2B project in the Netherlands uses different weights than a B2B Global project, reflecting how AI ecosystems are used in that market.

Why B2B/B2C matters

B2B and B2C profiles apply different dimension weights. B2B emphasizes Authority and Trust; B2C emphasizes Brand Clarity and Differentiation. Choosing the wrong profile can misrepresent what matters most for your brand type.

How wrong setup affects interpretation

If Organization name is ambiguous, Region does not match your market, or B2B/B2C is incorrect, scores may reflect a different entity or context than you intend. Always verify the context bar before starting a scan.

6.3 Activate project

1. Select your project in the left list
2. Click Activate (if not already active)
3. The project gets an Active badge — this is your working project across all modules

Project list with one project marked as “Active”.

6.4 Free scan limit

On the free scan plan, you can create a maximum of 1 project. To unlock all four modules, weekly scheduling, and higher scan limits, upgrade to AIRepScore Monitor.

6.5 Internal notes (optional)

Under Internal notes (collapsible), you can capture context for your team. These notes are not used in scans.

6.6 AI models used in scans

Scans use AI models configured centrally for your project's market context (B2B/B2C profile and region). You do not need to configure models yourself. The active models appear in the context bar. AIRepScore typically evaluates across GPT, Gemini, Claude, Perplexity, and Mistral — see Model weighting for how these contribute to your scores.

7. Set up peers & competitors

Peers are brands or organizations you compare against. They matter because:

• AI Positioning requires peer projects with their own scan data
• Differentiation (in AI Credibility) is best interpreted relative to realistic alternatives
• Peers should be genuine market alternatives your buyers or audience would consider — not aspirational brands from unrelated categories

Use 4–9 peers for AI Positioning (recommended: 4). More than 4 peers uses more monthly scan capacity.

7.1 Add peers in Projects

In the project detail, Peers & Competitors section:

1. Type a competitor name in the input field
2. Click + to add
3. Optional: click Autofill — AI suggests competitors based on sector and region
4. Choose Compare peers as: Brand (product name) or Company (company name)

Peers & Competitors section with 3 filled peers and Autofill button.

Why peer projects matter

AI Positioning aggregates existing AI Credibility and Brand Perception sessions. For meaningful comparison, each peer needs its own project with completed scans. If a peer has no scan data, that brand will appear empty in Positioning until scans are run.

Brand vs. company for peers

Use the same logic as your primary project: consumer brands for B2C comparisons, company names for B2B comparisons. Consistency across your peer set improves interpretability.

7.2 Configure peers for AI Positioning

You can also link peers directly from the AI Positioning module (see §10).

8. AI Credibility scan

Module: AI Credibility
Plan: available on all plans (including free scan)
Duration: a few minutes (depending on number of models)

8.1 What does this scan measure?

AI Credibility evaluates whether AI systems see your brand as a credible, clear, and relevant reference point — the foundation for recommendation.

Six dimensions (each 0–100):

Plus meta-indicators:

• Consistency — agreement across AI models (not included in the overall score)
• AI Confidence — how certain models are about their knowledge of your brand

Authority vs. Expertise

Authority belongs to AI Credibility and measures whether AI sees the brand as a credible reference point in its category. Expertise belongs to Brand Perception and measures whether AI associates the brand with specialist knowledge or thought leadership. A brand can score high on Trust but low on Expertise, or vice versa.

8.2 Start a scan

Requirements:

• Active project selected
• Scan limit of your plan not reached

Steps:

1. Go to AI Credibility
2. Check project and profile in the context bar
3. Click Start scan
4. Wait while models run (progress bar visible)

📸 SCREENSHOT: playbook-19-air-scan-progress.png
Scan progress screen with spinner, model name, and progress bar.

Free scan: you have 1 AI Credibility scan — your entry scan to discover how AI perceives your brand.

AIRepScore Monitor and Enterprise: all four modules, up to 40 scans per month on Monitor (unlimited on Enterprise), and weekly scheduling.

8.3 Reading results — Overview tab

After completion, the dashboard appears with tabs Overview, Models, History.

Overview includes:

AI Credibility overview with hero score, AI summary and suggested priorities (sample project IKEA).

Model Comparison Matrix and AIRepScore per dimension side by side.

Sentiment analysis + Prioritized improvement opportunities.

8.4 Models tab

Per AI model you see:

• Individual dimension scores
• Reasoning (max. 3 sentences per dimension)
• Strengths / weaknesses (or sentiment drivers)
• Recommended actions
• Confidence per dimension (high / medium / low)

Models tab with GPT selected and dimension detail visible.

8.5 History tab

All previous scan sessions with date, overall score, and model count. Click a session to load those results.

History tab with list of scan sessions.

8.6 Live Web Signal & Web Search Correction

After the trained-data scan, AIRepScore may run a Live Web Signal Assessment (via Perplexity). This produces Web Search Correction values per dimension, visible in the dimension overview. Web search corrections reflect recent web signals relative to training-data scores — they suggest how live information may differ from what models learned during training.

8.7 Model weighting

AIRepScore aggregates scores across multiple AI models using model weights configured for your project's market context (B2B/B2C and region).

Model weights represent expected influence of an AI ecosystem on brand discovery, comparison and recommendation within a specific market context. They do not represent model quality or technical performance.

Current model weights by profile:

Weights are applied automatically based on your project's Business Type and Region. You do not configure these yourself.

9. AI Brand Perception scan

Module: AI Brand Perception
Plan: AIRepScore Monitor and Enterprise (free scan: blocked — explore via sample projects)

9.1 What does this scan measure?

Brand Perception is not sentiment analysis. It measures positioning associations — what AI believes your brand stands for across eight perception dimensions:

Plus: Dominant Associations (3–8 emergent themes), positioning map, and brand summary.

A brand can be trusted (AI Credibility) but not seen as innovative, sustainable, or premium (Brand Perception). The two modules answer different questions:

• AI Credibility: Can AI recommend this brand?
• Brand Perception: For what reasons or contexts would AI recommend it?

9.2 Access on free scan

On the free scan plan, you see a plan-blocked message with explanation and link to upgrade. You can explore the module via sample projects (Rijksmuseum, IKEA).

Brand Perception with plan-blocked message and upgrade link (free account).

9.3 Start a scan (paid plan)

1. Run AI Credibility first (recommended — establishes baseline context)
2. Go to AI Brand Perception
3. Select your project
4. Click Start scan

📸 SCREENSHOT: playbook-26-bp-scan-progress.png
Brand Perception scan progress.

9.4 Reading results

Brand Perception overview with radar and positioning map.

Brand association landscape with themes and sentiment.

10. AI Positioning

Module: AI Positioning
Plan: AIRepScore Monitor and Enterprise
Type: Aggregation layer — no new AI calls

AI Positioning does not run new AI model calls. It aggregates existing AI Credibility and Brand Perception sessions. If results are missing, run scans for your primary project and each peer first.

10.1 Requirements

For meaningful results, you need:

1. AI Credibility scan of your brand (primary project)
2. Brand Perception scan of your brand
3. The same scans for your peers (max. 4)
4. Peers configured and linked

10.2 Configure peers

1. Go to AI Positioning
2. Click Configure peers
3. Select 4–9 peer projects from the list (recommended: 4)
4. Missing peer project? Choose + Create to create it
5. Click Save peers or Save + queue

“Configure comparison peers” modal with 4 peers selected.

10.3 View comparison

With sufficient scan data, the dashboard loads automatically:

AI Positioning hero with rankings and positioning map.

Strengths & gaps table relative to peer average.

Refreshing comparison data: Comparison has no own “Run Scan” button. Re-run AI Credibility and Brand Perception scans on individual projects to refresh positioning results.

11. AI Recommendation

Module: AI Recommendation
Plan: AIRepScore Monitor and Enterprise (free scan: blocked — explore via sample projects)

11.1 What does this scan measure?

In structured scenarios, AIRepScore tests how AI systems recommend your brand in realistic purchase or selection situations. This is not a prediction of customer behaviour — it measures AI recommendation patterns under specific use cases, personas, regions, and scenarios.

Overall Recommendation Score = 60% spontaneous + 40% assisted.

The Recommendation gap (assisted minus spontaneous) indicates whether your brand benefits from being explicitly named as a candidate — a positive gap suggests an acceptance effect; a negative gap may indicate stronger spontaneous recall than assisted ranking.

11.2 Preparation — Personas

1. Go to the Persona Library tab
2. Click + New Persona or Import (PDF/image)
3. Fill in buyer persona: role, goals, frustrations, decision criteria

Persona Library with cards and B2B/B2C filter.

11.3 Build scenarios

1. Go to the Scenario Builder tab
2. Click + New
3. Fill in:

1. Set status to Active
2. Click Save

Scenario Builder with filled form and scenario list on the left.

Recommendation: Start with 3–5 scenarios that reflect real purchase or selection situations in your market.

11.4 Start a scan

1. Return to the Overview tab in AI Recommendation
2. Verify at least 1 scenario is active
3. Click Start scan
4. Wait until all scenarios × models have completed

📸 SCREENSHOT: playbook-34-rec-scan-progress.png
Recommendation scan with “Running scenarios…” progress.

11.5 Reading results

Recommendation overview with overall/spontaneous/assisted scores and evoked set.

Results per scenario with ranking per model.

11.6 Plan-blocked on free scan

On the free scan plan, AI Recommendation shows a plan-blocked message with a link to Upgrade plan. Subscribe to AIRepScore Monitor to unlock scenario-based recommendation testing alongside the other modules.

Recommendation plan-blocked with upgrade callout (free scan).

12. Overview module

Module: Overview

The overview combines all four modules in one dashboard — ideal for management reporting.

12.1 What do you see?

Four blocks stacked vertically:

1. AI Credibility — hero score + top priorities
2. AI Brand Perception — hero score + priorities
3. AI Positioning — ranking + peer delta
4. AI Recommendation — scores + priorities

At the bottom: Framework scores over time — trend line across all modules.

Overview page with all four module blocks populated.

12.2 When to use it?

• First check after login — quick status of your brand
• Board reporting — all layers on one screen
• Comparison over time — period filter at top (Latest / 7d / 30d / 90d)

Click Open module → on each block to go to the detail module.

13. Scan queue (scheduled scans)

Module: Scan queue

Use the queue to run scans automatically or on a schedule — useful for monthly monitoring.

13.1 Add a scan

1. Go to Scan queue
2. Fill in the form:

Step 1 — Which brand?
Select a project.

Step 2 — Which scans?
Check what your plan includes:

• AI Credibility ✓
• Brand Perception (Monitor / Enterprise)
• AI Recommendation (Monitor / Enterprise)

Step 3 — When?

1. Click + Add to queue

“Add to scan queue” form with AIR checked and monthly repeat.

13.2 Run queue

1. Review the queue list
2. Click Run queue
3. Follow progress in the Currently scanning bar

📸 SCREENSHOT: playbook-40-scan-queue-running.png
Queue with running scan and progress bar.

13.3 Free scan — your entry scan

On the free scan plan:

• 1× AI Credibility — your first measurement of how AI sees your brand
• Upgrade to Monitor for weekly automated scans and all four modules

14. Profile & account

Route: Profile (via profile menu)

14.1 Profile page

📸 SCREENSHOT: playbook-41-profile.png
Profile page with name, email, role, and language choice.

14.2 Log out

Click Log out in the account menu. Your session ends immediately.

15. Upgrading to a paid plan

Route: Upgrade plan

15.1 Upgrade path

Legacy: Existing customers on Starter or Professional keep their current entitlements until migrated.

15.2 How to upgrade to Monitor

1. Go to Upgrade plan
2. Review the plan cards (Free scan, Monitor, Enterprise)
3. Click Start Monitor
4. Complete checkout via Stripe (monthly subscription; annual billing may be available)
5. Your plan and module access update shortly after payment

Use Manage subscription on the same page to update your payment method, view invoices, or cancel.

Monitor plan card with “Start Monitor” button.

15.3 Enterprise

For multiple brands, unlimited projects, or partner access:

1. Go to Upgrade plan
2. Click Book a meeting on the Enterprise card
3. AIRepScore configures your workspace after scoping

15.4 What changes after upgrading to Monitor?

• Brand Perception, Comparison, and Recommendation become available immediately
• Up to 40 scans per month and weekly scheduling
• Invite up to 2 additional users (3 total) as viewers
• Email alerts after completed scans (when configured in Alerts)

16. Collaborating with colleagues

16.1 Free scan (solo)

• 1 user, no invites
• Full access to your own project and your one AI Credibility scan

16.2 AIRepScore Monitor — Viewer invites

On Monitor, you can invite colleagues to view results:

1. Open a project in Projects
2. Scroll to Invite viewer
3. Enter your colleague's email address
4. Click Send invitation

The colleague receives a registration link and can view results. Viewers cannot run scans or change project settings. Monitor includes up to 3 users total.

“Invite viewer” section in project detail.

16.3 Enterprise — Multiple users

On Enterprise, your organization can have multiple users with different roles (such as admin, analyst, and viewer). Contact AIRepScore to set up team access for your organization.

17. Sample projects (demos)

AIRepScore provides two read-only sample projects for all logged-in users:

17.1 How to use

1. Select a sample project in the project dropdown (any module)
2. Explore all modules with real scan data
3. Start scan and editing are disabled (badge: Sample · view only)

AI Credibility with “Sample — Rijksmuseum” and “view only” badge.

17.2 When to switch to your own project?

When you want to measure your own brand:

1. Create your own project (Projects → + New)
2. Activate it
3. Select it in the project dropdown

18. Frequently asked questions & troubleshooting

Scans & limits

Login

Interpretation & methodology

19. Screenshot index

Overview of sample screenshots. Files are stored in docs/playbook-screenshots/ and served via /ui/assets/uploads/.

Total: 46 sample screenshots (38 External, 2 Both, 6 Internal)

20. Quick-start checklist

Use this checklist for your first 30 minutes:

• [ ] Account created / logged in via OTP
• [ ] Welcome screen read
• [ ] Sample project Rijksmuseum explored (AI Credibility overview)
• [ ] Own project created (Core fields filled, B2B/B2C chosen)
• [ ] Project activated
• [ ] Peers added (at least 2–3 realistic alternatives)
• [ ] First AI Credibility scan started and completed
• [ ] Overall AIRepScore™, dimensions, Confidence and Consistency reviewed
• [ ] Top 3 improvement opportunities noted
• [ ] Overview module reviewed
• [ ] Upgrade plan page reviewed for next steps

Recommended follow-up timeline (after first scan)

End of guide — AIRepScore™ User Guide v1.1
Questions? Contact us via the upgrade page or Knowledge Hub FAQ.