AI app for marketing · no coding needed
AI answer visibility tracking workspace
Replace several rented AI-visibility subscriptions with one owned workspace that tracks brand mentions across AI platforms and turns them into reviewed, client-ready reports.
Made for: Brand, SEO and communications teams tracking how their brand appears in AI-generated answers
What it does for you
The problem
Brands cannot see how often AI assistants mention them, which prompts trigger mentions, which competitors appear instead, or which sources shape the answers.
What it gives you
Reviewed AI visibility reports linked to source evidence
What you give it
Monitored promptsmodel responsescitation pagescrawler logscompetitor lists
Build your own version of AI Search Console, PromptScout and more
One app with what these 7 AI tools do, yours to keep and change: AI Search Console, PromptScout, Pendium, Atyla, The AI 500, Japanly AEO, Siteline.
Everything these tools do, in one app
- Multi-model AI visibility tracking Monitors how often a brand appears in AI-generated answers across multiple AI platforms.Found in AI Search Console, PromptScout, Pendium and 3 more
- Prompt-level analysis Shows which specific prompts or queries trigger brand mentions and how positioning changes.Found in AI Search Console, PromptScout, Atyla and 3 more
- Competitor visibility tracking Identifies competitors or alternative recommendations that AI answers surface instead of your brand.Found in AI Search Console, PromptScout, Pendium and 2 more
- Citation mapping Identifies the domains and pages cited in AI answers to show which sources shape responses.Found in AI Search Console, PromptScout, Pendium and 1 more
- Share of voice metrics Measures the proportion of AI mentions a brand receives relative to competitors.Found in AI Search Console
- Prompt grouping by journey stage Organizes prompts by customer journey stage for structured analysis across funnel phases.Found in AI Search Console
- Client-ready reporting Generates reports directly from tracked data, removing manual screenshot-and-spreadsheet workflows.Found in AI Search Console, PromptScout
- AI-readiness audit Checks crawler access, page extractability, and discoverability to identify technical issues before monitoring.Found in PromptScout
- Aggregated snapshot sampling Smooths out variability in AI responses by averaging repeated snapshots to report trends.Found in PromptScout
- Centralized dashboard Stores monitored brands, prompts, competitor lists, and historical reports in one place.Found in PromptScout, Pendium
- Sentiment analysis Extracts sentiment signals from AI responses to understand how brands are portrayed.Found in Pendium
- Content engineering workflow Provides a hosted platform for engineering, approving, and publishing agent-focused content.Found in Pendium
- API and integrations Connects with existing content engineering systems or feeds results into internal agents.Found in Pendium, Siteline
- Real crawler traffic data Uses actual AI crawler traffic rather than estimates to provide concrete visibility data.Found in Atyla, Siteline
- Multilingual coverage Works across multiple languages and geographic markets to reveal localized AI visibility patterns.Found in Atyla, Japanly AEO
- Industry benchmarking Compares brand visibility against a large dataset of industries and brands.Found in The AI 500
- Model disagreement analysis Highlights when different AI assistants differ on top recommendations.Found in The AI 500
- Honorific tone scoring Measures the Japanese politeness register (敬語) in AI mentions to assess cultural appropriateness.Found in Japanly AEO
- Prioritized fix list Generates a list of recommended actions ordered by what to address first based on scan results.Found in Japanly AEO
- Agent and bot traffic tracking Identifies which AI agents visit your site, frequency, and where access is blocked.Found in Siteline
- Correlation with human traffic Cross-references agent visits and citations with human visits using UTMs and referral headers.Found in Siteline
- Technical recommendations Provides diagnostics for server-side rendering, load times, robots rules, and other factors affecting agent readability.Found in Siteline
How it works, step by step
- Track brand mentions across multiple AI platforms
- Analyze which prompts trigger mentions and how positioning changes
- Track competitor and alternative recommendations in AI answers
- Map cited domains and pages behind each answer
- Compute share of voice against competitors
- Group prompts by customer journey stage
- Generate client-ready reports from tracked data
- Run AI-readiness audits on crawler access and page extractability
- Average repeated snapshots to smooth response variability
- Store brands, prompts, competitors and history in one dashboard
- Extract sentiment signals from AI responses
- Support a content engineering and approval workflow
- Connect to content systems and internal agents by API
- Use real AI crawler traffic data alongside estimates
- Cover multiple languages and geographic markets
- Benchmark against industry and brand datasets
- Highlight where models disagree on top recommendations
- Score honorific tone for Japanese-language mentions
- Produce a prioritized fix list from scan results
- Track which AI agents visit the site and where access is blocked
- Cross-reference agent visits and citations with human traffic
- Give technical recommendations for rendering, load times and robots rules
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for AI answer visibility tracking workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds AI answer visibility tracking workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data198 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Replace several rented AI-visibility subscriptions with one owned workspace that tracks brand mentions across AI platforms and turns them into reviewed, client-ready reports. For brand, SEO and communications teams tracking how their brand appears in AI-generated answers, convert monitored prompts, model responses, citation pages, crawler logs and competitor lists into reviewed AI visibility reports linked to source evidence. The benefit is a testable hypothesis, measured through tracked prompts with stable brand mentions per reporting cycle and report corrections after client delivery; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect monitored prompts, model responses, citation pages, crawler logs and competitor lists, then follow this sequence: 1. Track brand mentions across multiple AI platforms. 2. Analyze which prompts trigger mentions and how positioning changes. 3. Track competitor and alternative recommendations in AI answers. Resolve uncertain cases with qualified reviewers, approve reviewed AI visibility reports linked to source evidence, and measure tracked prompts with stable brand mentions per reporting cycle and report corrections after client delivery against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Sampling covers a fixed prompt set and model list; final interpretation and client claims remain analyst-reviewed. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand accuracy, source attribution, quotation accuracy and usage permissions. Analysts approve substantive claims and publication scope. One fixed prompt set and model list; final interpretation and client claims remain analyst-reviewed. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed prompt set and model list; final interpretation and client claims remain analyst-reviewed. Implement one approved input format, a bounded representative case set and the first two task modules: track brand mentions across multiple AI platforms; analyze which prompts trigger mentions and how positioning changes. Support the third module with operator review: track competitor and alternative recommendations in AI answers. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Brand-owned prompt lists, authorized analytics exports and permitted research sources. Cloud storage, content engineering systems and internal agent endpoints. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Brand and prompt setup, Visibility dashboard, Report builder and delivery. Use a thumbnail gallery for tracked brands and prompt sets, a large central dashboard for mention rates and share of voice, and a right-hand panel for citations, sentiment and competitor detail. Let users compare periods and models side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant chart or prompt. Make the task-specific outcome reviewed AI visibility reports linked to source evidence visible beside its evidence, review state and value baseline.
