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Users sign in through the app login screen. Brand users can be restricted to their own brand while admins can access broader reporting and user management.
LLMReport dashboard and AI visibility workflow
See how AI chatbots talk about — and recommend — your brand.
AI Chatbot Reporting analyzes brand visibility inside ChatGPT, Gemini, and Perplexity answers, then turns those responses into dashboard metrics, recommendation intelligence, social/community visibility, discovered competitors, and content opportunities.
Built for SEO, content, marketing, brand, and reporting teams that need a repeatable way to measure AI visibility by theme, compare competitors, understand which brands are explicitly recommended, and decide what to improve next.
✓ Multi-provider analysis
✓ Theme-level tracking
✓ Top recommendations
✓ Social & community visibility
LLMReport Dashboard - Example Brand
Current dashboard layout · provider, date and theme controls
Update Input
Run Report Now
Provider:ChatGPT
Date:Latest Run
Theme/Topic:All Themes
Domainexample-brand.com
LocationCanada
PlatformChatGPT
Last ExecutedLatest run
Competitor 1
Competitor 2
Competitor 3
3Executions
6Themes
30Prompts
9,800Total MSV
📣 Mentions18
📊 Avg. Rank3.8
📈 Avg. SOV31.4%
📑 Citations7
Themes & Prompts
Brand Mentions
Average Rank
SOV
Other Brands
Social & Community
Top Recommendations
Opportunities
Theme: product comparison
Filter the full dashboard to a single Theme/Topic and review only the related prompts, KPIs, recommendations, social sources, discovered brands, opportunities, and raw answers.
What this tool does
A practical visibility report for AI-generated answers.
Instead of manually asking chatbots the same questions and copying answers into spreadsheets, the tool runs a repeatable audit across selected providers, themes, prompts, brands, competitors, and locations.
The problem it solves
AI assistants are becoming research and recommendation engines. Brands need to know when they appear, how they rank, whether they are actively recommended, which communities are influencing answers, and where new competitors emerge.
✓ Replaces manual chatbot checks
✓ Standardizes results across runs
✓ Tracks visibility by Theme/Topic
✓ Connects AI visibility to action
Who it is for
SEO teams, content strategists, performance marketers, brand managers, agencies, and reporting teams tracking AI answer visibility.
What it analyzes
Themes/topics, journey-stage prompts, brand mentions, rank, share of voice, citations, sentiment, discovered brands, social/community sources, and explicit recommendations.
What it stores
Raw answers, parsed metrics, run dates, provider and theme context, recommendation/social/discovered-brand records, exports, and SQLite-backed reporting history.
What it recommends
Ranking and mention gaps, optimization opportunities, net-new content needs, suggested existing URLs, and competitor examples.
How it works
From themes to report in a guided flow.
The current Express/EJS application flow covers login, Theme/Topic input, journey-stage prompt selection, report execution, and a dashboard that can be filtered by provider, run date, and theme.
Enter Theme/Topic inputs
Add comma-separated themes/topics, brand name, optional alternate brand name, brand URL, location, and competitor names and URLs.
Choose journey prompts
For every theme, the system generates three prompts in each of five journey stages. Users choose which questions should be included in the audit.
Run report
The backend checks ChatGPT, Gemini, and Perplexity, stores raw responses, parses tracked-brand metrics, and records discovered brands, social sources, and recommendations.
Review by theme
Filter by provider, date, and Theme/Topic, then review KPIs, recommendations, social/community visibility, opportunities, and the raw source answers.
Main features
Built for repeatable AI visibility audits.
The capabilities below reflect the current application routes, EJS screens, reporting logic, API endpoints, and SQLite schema.
Multi-provider reporting
Runs audits across ChatGPT, Gemini, and Perplexity with provider-specific reporting in the dashboard.
Theme & journey prompt builder Updated
Starts with Theme/Topic inputs and generates 15 prompts per theme: three each for Broad Discovery, Qualification, Comparison, Validation, and Action/Decision.
Brand & competitor tracking
Tracks the selected brand against configured competitors using brand names, display names, domains, and the generated input file.
Dashboard KPIs
Shows mentions, average rank, average share of voice, and citations in the main KPI cards, with sentiment available in its own reporting tab.
Theme-level dashboard filtering New
Filters metrics and detailed modules by Theme/Topic so teams can isolate visibility for a specific product, category, audience need, or strategic topic.
Other brands discovered New
Surfaces untracked brands found naturally in AI responses, including mentions, average rank, expanded SOV, sentiment, citations, and prompt appearances.
Social & community sources New
Tracks social, community, and user-generated-content platforms such as Reddit, YouTube, Quora, and TikTok when they appear naturally in AI answers.
Top recommendations New
Separately tracks brands explicitly recommended in positions 1–3, including #1 wins, Top 3 appearances, average recommendation rank, recommendation share, and recommendation rate.
Opportunity detection
Highlights prompts where competitors outrank the brand or are mentioned while the selected brand is absent.
Detailed optimizer
Classifies opportunities as Optimization or Net New and can include a suggested existing page plus an example competitor URL.
Raw response archive
Stores exact chatbot answers by provider, theme, question, run date, and report brand, with search and TXT export from the dashboard.
Permissions & history
Supports login sessions, brand-level access, run history, admin user management, and run controls for brand users.
Updated UI snapshots
A walkthrough that matches the current product.
These previews are recreated in static HTML/CSS so they can live safely on the public website. Labels, modules, filters, and layouts are based on the current EJS dashboard and input flow; demo values are intentionally generic.
01
Login screen
The lightweight username/password login remains valid. After sign-in, users are routed to their permitted brand dashboard or input flow.
Login
Username
brand.user
Password
••••••••••
Sign in
02
Theme/Topic audit input Updated
The old “keyword” wording is now presented as Theme/Topic. Users define strategic topics, brand details, location, and the competitors to track.
LLMReport Input
Theme/Topic (comma-separated)
product comparison, customer reviews, premium alternatives
Brand Name
Example Brand
Alternate Brand Name (optional)
Example
Brand URL
https://www.example-brand.com
Location
Canada
Competitor name
Competitor 1
Competitor URL
https://www.competitor-1.example
+ Add competitor
Next
03
Journey-stage prompt selection Updated
Each Theme/Topic receives three generated prompts in each of five stages. The first prompt in every stage is selected by default, and users can change the selection before creating the input file.
Select Questions by Journey Stage
Theme/Topic: product comparison (MSV: 1,900)
product comparison · 15 generated prompts
Broad Discovery3 prompts
Q1 What are the best options for shoppers researching this category in Canada?
Q2 Which brands are commonly considered in this category?
Qualification / Narrowing / Filtering3 prompts
Q1 Which options are best for buyers prioritizing quality and value?
Comparison3 prompts
Q1 How do the leading options in this category compare on quality, price, and features?
Validation / Risk Reduction3 prompts
Q1 What should buyers verify before choosing among these brands?
Action / Decision3 prompts
Q1 Which option would you recommend for someone ready to buy?
04
Dashboard overview & Theme filter Updated
The dashboard now combines Provider, Date, and Theme/Topic filters with run context, tracked competitors, execution statistics, and the four main KPI cards.
LLMReport Dashboard - Example Brand
Run overview and filtered reporting
Update Input
Edit Input (TXT)
Run Report Now
Provider:ChatGPT
Date:Latest Run
Theme/Topic:product comparison
Domainexample-brand.com
LocationCanada
PlatformChatGPT
Last ExecutedLatest run
Competitor 1
Competitor 2
Competitor 3
Competitor 4
4Executions
6Themes
30Prompts
9,800Total MSV
📣 Mentions18
📊 Avg. Rank3.8
📈 Avg. SOV31.4%
📑 Citations7
Themes & Prompts
Brand Mentions
Average Rank
Average SOV
Citations
Average Sentiment
Other Brands Discovered
Social & Community
Top Recommendations
Opportunities
Detailed Opportunities
Raw Responses
05
Top Recommendations New
This module is separate from normal mention/rank metrics. It tracks brands that the LLM explicitly presents among its strongest choices and shows both the leading brands and your own recommendation performance.
Top Recommended Brands
Brands the AI explicitly recommends or presents as its strongest choices. Recommendation Rank is separate from normal mention/rank metrics.
🥇 TOP RECOMMENDATION #1
Example Brand
🥈 TOP RECOMMENDATION #2
Competitor 1
🥉 TOP RECOMMENDATION #3
New Brand
Your Brand Recommendation Rate40.0%
Your Brand Top 3 Appearances12
Your Brand #1 Recommendations8
| Brand | Status | Top 3 | #1 | Avg Rec. Rank | Rec. Share | Rec. Rate |
|---|---|---|---|---|---|---|
| Example Brand | Tracked | 12 | 8 | 1.42 | 38.7% | 40.0% |
| Competitor 1 | Tracked | 9 | 4 | 1.89 | 29.0% | 30.0% |
| New Brand | Untracked | 5 | 2 | 2.20 | 16.1% | 16.7% |
06
Social & Community New
The tool identifies social/community/UGC platforms that appear naturally in AI responses. Social Visibility Share is intentionally calculated separately from normal brand SOV.
Social & Community Sources
Review which platforms are shaping the answer set, how often they appear, their relative position, visibility share, sentiment, citations, and prompt appearances.
| Platform | Mentions | Avg Position | Social Visibility Share | Sentiment | Citations | Prompt Appearances |
|---|---|---|---|---|---|---|
| 11 | 1.8 | 42.6% | +12.4 | 5 | 8 | |
| YouTube | 7 | 2.3 | 28.4% | +8.1 | 4 | 6 |
| Quora | 4 | 3.1 | 17.2% | +3.5 | 2 | 4 |
| TikTok | 2 | 3.8 | 11.8% | +6.0 | 1 | 2 |
07
Other Brands Discovered New
Beyond the configured competitor list, the report detects additional brands mentioned naturally by the LLM. These are measured separately so they do not alter the standard tracked-brand KPI calculations.
Other Brands Discovered
Untracked competitors found naturally in AI responses. Expanded SOV is reported separately from the normal tracked-brand SOV.
| Brand | Mentions | Avg Rank | Expanded SOV | Sentiment | Citations | Prompt Appearances |
|---|---|---|---|---|---|---|
| Emerging Brand A | 9 | 2.4 | 18.5% | +10.0 | 3 | 7 |
| Emerging Brand B | 6 | 3.2 | 12.9% | +4.0 | 2 | 5 |
| Emerging Brand C | 4 | 4.1 | 8.6% | 0.0 | 1 | 3 |
08
Detailed Opportunities
The optimizer remains an important output. It separates ranking and mention gaps, classifies each recommendation as Optimization or Net New, and can connect the opportunity to an existing page and competitor example.
Detailed Opportunities
Type: All
Run: latest
Provider: ChatGPT
Theme: product comparison
| Prompt | Opportunity | Update Type | Suggested Existing URL | Example Competitor URL | Theme | MSV |
|---|---|---|---|---|---|---|
| Which options are best for buyers prioritizing quality and value? | Ranking | Optimization | /products/category-guide | /competitor/buying-guide | product comparison | 1,900 |
| What should buyers verify before choosing among these brands? | Mention | Net New | — | /competitor/reviews | customer reviews | 880 |
09
Raw responses & traceability
Users can search raw answers by theme, question, or answer text, reload the selected run, and export the response set to TXT for validation or downstream review.
Search theme / question / answer...
Reload
Export TXT
| Theme | Question | Raw Answer |
|---|---|---|
| product comparison | How does Example Brand compare with leading alternatives? | Based on the criteria in the prompt, several brands stand out. Example Brand is frequently considered alongside... |
| customer reviews | What should buyers verify before choosing? | Buyers should compare warranty terms, independent reviews, community feedback, availability, and total cost... |
Final output
What users get after an audit.
The current report combines executive-friendly KPI views with separate analytical modules and traceable raw responses, allowing teams to move from visibility measurement to specific content and brand actions.
KPI & theme summary
Mentions, average rank, average SOV, citations, sentiment detail, total themes, total prompts, MSV, provider, date, domain, location, and tracked competitors.
Top recommendation intelligence
Top 3 recommended brands, #1 wins, average recommendation rank, recommendation share, recommendation rate, tracked/untracked status, and your own recommendation summary.
Social & community intelligence
Platform mentions, average position, Social Visibility Share, sentiment, citations, and prompt appearances for community and UGC sources found in answers.
Discovered brand intelligence
Previously untracked brands, mentions, average rank, expanded SOV, sentiment, citations, and prompt appearances without changing normal tracked-brand KPIs.
Opportunity report
Ranking gaps, mention gaps, optimization vs. net-new classification, suggested existing URLs, competitor examples, themes, and MSV.
Raw answers & saved history
Searchable raw responses, TXT export, provider/date/theme context, SQLite-backed run history, and generated output files for later review.
Why it is useful
Designed to turn chatbot answers into decisions.
✓
Saves analysis time
Runs repeatable prompt checks and structures the output automatically instead of relying on manual question-by-question testing.
✓
Separates different visibility signals
Keeps tracked-brand KPIs, discovered competitors, social/community visibility, and explicit recommendation metrics distinct so each can be interpreted correctly.
✓
Finds practical opportunities
Shows where competitors are winning and whether the next move should be page optimization, new content, stronger recommendation positioning, or community visibility work.
✓
Improves reporting confidence
Theme filtering, stored raw responses, and run history make it easier to explain where a recommendation came from and compare visibility over time.
Ready to use the tool?
Open the dashboard or request access.
Sign in to run and review AI visibility reports across providers, themes, recommendations, social/community sources, discovered competitors, opportunities, and raw responses.