Programme Scenarios and Synthetic Dashboards
Explore the CiteRank platform using clearly labelled synthetic data. This environment is designed to demonstrate product capabilities through fictional brand scenarios, completely separated from our original research.
Synthetic Dashboards
Interactive walkthrough of the executive visibility dashboard, citation intelligence, and entity graphs using modelled data.
Programme Scenarios
Hypothetical transformation scenarios: from initial diagnosis to measured movement in generative engine results.
Illustrative Benchmarks
Market-level baseline distribution of AI Visibility Scores across 10 industries using synthetic corpora.
Modelled and illustrative reports
Every report below is produced from modelled or fictional inputs to demonstrate the structure of a CiteRank deliverable. None of these figures is a measurement, and none should be cited as a benchmark or market statistic. Each page states its research type, sampling position, engines and limitations in full.
- Modelled analysisThe State of AI Visibility 2026How eight AI engines cite, recommend and rank brands across twelve industries — the full annual benchmark, with the prompt corpus, scoring model and per-engine behaviour explained.Annual Report · 15 Jan 2026 · 42 min read
- Modelled analysisGEO Adoption Index 2026Which categories have crossed the generative-engine-optimisation tipping point, which are still treating AI search as an experiment, and what separates the two.Annual Report · 1 Feb 2026 · 18 min read
- Modelled analysisThe AI Citation EconomyHow AI answers redistribute attention from ranked pages to cited entities, and what the resulting value chain means for publishers, brands and the sources in between.Annual Report · 10 Mar 2026 · 25 min read
- Modelled analysisHealthcare — AI Visibility BenchmarkHow hospitals, clinics and DTC health brands appear across eight engines, why safety-tuned refusal changes the game, and where the recommendable surface actually is.Industry Report · 4 Apr 2026 · 22 min read
- Modelled analysisFintech — AI Recommendation ReportWhich fintech brands AI engines recommend for cards, lending, wealth and neobanking prompts — and how regulatory hedging reshapes the answer.Industry Report · 20 Apr 2026 · 20 min read
- Modelled analysisD2C Commerce VisibilityCategory-by-category recommendation share across skincare, apparel, food and home DTC brands, and why review corpora beat product pages in the answer layer.Industry Report · 5 May 2026 · 19 min read
- Modelled analysisReal Estate — AI Search BehaviourHow AI engines rank builders, brokers and portals for high-intent property prompts, and why locality entities decide the outcome.Industry Report · 25 May 2026 · 17 min read
- Illustrative exampleScaling Recommendation Share in 90 Days (B2B SaaS)An illustrative walkthrough of a B2B SaaS programme that rebuilt its entity graph, restructured its comparison content and moved from the middle of the list to the shortlist.Case Study · 22 Mar 2026 · 9 min read
- Illustrative exampleHealthcare — Building Entity Authority Across SitesAn illustrative multi-site hospital group that closed a persistent recommendation gap by consolidating location and credential entities before touching content.Case Study · 15 Apr 2026 · 10 min read
- Illustrative exampleDTC — Turning Review Signals into CitationsAn illustrative skincare brand that lifted its citation profile by restructuring an existing review corpus instead of producing new content.Case Study · 11 May 2026 · 8 min read
- Modelled analysisSampling Bias in Prompt Corpora for Generative Engine EvaluationA working paper on why scraped keyword lists produce unstable AI visibility measurements, and a stratified sampling design that makes prompt-level results reproducible across runs and engines.Research Paper · 18 Jun 2026 · 28 min read
- Modelled analysisAttributing Citations in Multi-Source AI AnswersHow to assign credit when an AI answer synthesises several sources without linking most of them, and why unlinked corroboration still moves recommendation share.Research Paper · 9 Apr 2026 · 24 min read
- Modelled analysisEntity Resolution as a Predictor of AI RecommendationA study design testing whether cleaning a brand's entity graph — names, locations, people, products — predicts later gains in how often engines name that brand.Research Paper · 21 Feb 2026 · 21 min read
- Illustrative exampleGEO Prompt Corpus — Sample ReleaseA documented sample of the stratified prompt corpus used in CiteRank benchmarks, with intent class, buying stage and geography labelled on every row.Dataset · 2 Jul 2026 · 8 min read
- Illustrative exampleEngine Citation Log — Eight-Engine SamplePer-answer citation records from replaying a fixed prompt set across all eight tracked engines, including unlinked brand mentions and answer position.Dataset · 14 May 2026 · 9 min read
- Illustrative exampleEntity Health Index — Category SampleModelled entity health scores across sample brands in six categories, with the component sub-scores exposed so the composite can be recomputed or reweighted.Dataset · 5 Mar 2026 · 7 min read
- Illustrative exampleGEO Foundations — Certification CourseA short self-paced course covering how generative engines choose brands, how visibility is measured, and how to run a first audit end to end. Finishes with an assessment and a CiteRank certificate.Academy · 10 Jul 2026 · Course · 3h 10m
- Illustrative examplePrompt Corpus Design — Practitioner CourseA hands-on course on building, sizing and versioning the prompt corpus your measurements depend on, including quota design and reproducibility checks.Academy · 4 Jun 2026 · Course · 2h 20m
- Illustrative exampleGEO for Agencies — Delivery & ReportingHow to package AI visibility as a repeatable client service: scoping, multi-client reporting cadence, and communicating modelled figures honestly.Academy · 22 May 2026 · Course · 2h 05m
Guided product walkthrough
Start with the visibility trend
Every workspace opens on a 12-week AI Visibility trend, weighted across the engines you track. One line per engine, because a brand is rarely equally visible in all of them.
Switch engines in the panel and watch the line change.
AI Visibility — share of voice over time
Sample workspace, 12 weeks, weighted across tracked engines.
Illustrative Scenario
Demonstrating default capabilities with modelled data. Fictional brand scenario for demonstration only.
Tip: tab into the chart to focus a weekly data point, then use the left and right arrow keys to step through weeks. Press Escape to exit.
AI recommendation share — you vs competitors
Per-engine Share of Voice across the last 30 days of replays. Hover or focus a bar for the breakdown.
Branded metric suite
AI Visibility Score™
Frequency of brand appearance across the top 8 generative engines.
Recommendation Share™
Percentage of commercial prompts where the brand is explicitly recommended.
Citation Share™
The share of authoritative source links pointing to your domain.
Entity graph
Illustrative Example Graph
This graph demonstrates entity relationships using modelled data for illustrative purposes.
A report about your brand, or the software itself.
The free audit answers “where do we stand right now?” with a one-off report. The product trial opens the CiteRank workspace so your team can track and act on AI recommendations continuously. They are separate journeys — pick either, or start with the audit and move into the trial afterwards.
| Free AI visibility audit | 14-day product trial | |
|---|---|---|
| What you get | A written AI visibility report on your brand | Login to the CiteRank software workspace |
| Format | PDF report emailed to you | Continuous dashboard access, prompts, alerts and exports |
| Setup | One short form — no account required | Create an account and connect your website |
| Timing | One snapshot, delivered after the run completes | Ongoing tracking for 14 days across all 8 engines |
| Best for | Deciding whether AI visibility is a problem for you | Teams ready to monitor and act week after week |
| Cost | Free, once per brand | Free for 14 days, no credit card |
Ready for verified results?
A free AI visibility audit produces verified findings from your real buyer prompts across all 8 engines.