AiReportPro
Media intelligence for people who cannot read everything
A platform for PR professionals and business leaders who need clarity in an overwhelming volume of coverage — built on hybrid clustering that groups articles by what they mean, not which words they share.
Why hybrid clustering
AiReportPro combines large language model embeddings with traditional NLP methods such as TF-IDF, capturing both surface features and deeper semantic meaning.
TF-IDF weighs which specific words matter within an article. Embeddings turn the article into a high-dimensional vector that carries its underlying meaning and context. Together they group coverage by theme rather than by shared vocabulary — which is the difference between a cluster that is useful and a cluster that merely shares a keyword.
Methodology
Four stages, collection to report
- 01
Data collection
Aggregate news and social across your tracking keywords, filtering irrelevant content early rather than at the reading stage.
- 02
Content classification
Sort by context and subject, so later analysis is targeted rather than exhaustive.
- 03
Topic clustering
- TF-IDF — which words matter
- Embeddings — what it means
The two signals converge. That is why coverage of one development groups together even when it shares no vocabulary — a keyword-only system cannot do this.
- 04
Report generation
Cluster titles, summaries, and the key positives and challenges — enough to brief from without reading the source.
Thousands of articles in, A handful of themes out. The bars show roughly how much survives each stage — the reduction is the point, and stage three is where two different signals decide what belongs together.
Quality control
Each clustered group passes rigorous checks, including a source attribution score, before it reaches a report. Clustering that quietly mixes unrelated coverage produces confident nonsense, so the checks matter more than the clustering.
Benefits
What it gives a communications team
- Time recovered
- Hours of manual tracking automated, so the team works on strategy and storytelling instead of collection.
- Actionable output
- Reports surface emerging trends, potential PR crises and competitor activity in a form you can brief from.
- One view
- Market sentiment and consumer feedback in a single dashboard rather than three tools and a spreadsheet.
- Scale
- Multi-language support and customisable dashboards for teams working across regions.
Tocanan's hybrid AI approach cut our users' monitoring time by 50%, allowing them to focus on more important tasks.
Worked example: NVIDIA coverage
Clustering is the beginning, not the output. Take a body of coverage on NVIDIA's earnings and industry relationships. Hybrid clustering grouped articles on fiscal performance, partnerships and market challenges into distinct themes.
One cluster drew together Hon Hai's investment, Qualcomm's market performance and Samsung's technological setbacks — revealing an industry dynamic no single article stated. Another connected strong earnings with specific chip issues and ecosystem funding developments.
Neither grouping shares an obvious keyword. Both are the kind of read that helps a stakeholder understand a market position and its risk factors together.
Roadmap
Where it goes next
- Financial data integration
- Merging financial metrics with media intelligence, so market narrative and the numbers behind it are read together rather than in separate meetings.
- Frontier reasoning models
- Deeper analysis as reasoning models improve — the clustering approach is model-agnostic by design, so capability rises without a rebuild.
- Broader language coverage
- Extending to additional languages and regions.
- Partnerships and certification
- Collaboration with academic institutions and compliance with major data security standards.
Frequently asked questions
Who is AiReportPro for?
PR professionals, communications teams and business leaders who need to know what the coverage says without reading all of it.
How is clustering different from keyword grouping?
Keyword grouping collects articles that share vocabulary. Hybrid clustering groups by meaning, so coverage about the same underlying development lands together even when it uses entirely different language.
What does a report contain?
Cluster titles, summaries, and the key positives and challenges for each cluster — plus thematic summaries, sentiment analysis and key point extraction.
Does it support languages other than English?
Yes, with multi-language support and customisable dashboards for teams working across regions.
See AiReportPro on your own coverage
Bring your tracking keywords and we will cluster a week of real coverage, so you can judge the grouping against what you already know.