Forbes AI Experience
Search and chat over the Forbes Middle East archive of articles, lists and events, in Arabic or English, with cited answers, summaries and voice conversation.
- Semantic search
- Cited answers
- Voice
- Arabic & English
01
Overview
The Forbes Middle East search engine lets readers ask questions of the publication's archive instead of scrolling through results. For each message, a router decides whether to search the archive, apply a time filter or simply reply. Search runs keyword matching and semantic search over article embeddings together, and each answer lists the articles it used.
- Category
- Media search & Q&A
- Industries
- Media
02 · Business value
What it changes for the business
Forbes AI Experience
The archive becomes a place where readers get answers, and editors learn which content readers want.
- 01
More value from the archive
Older articles, lists and events surface in answers, so past reporting keeps finding readers.
- 02
Answers on the publisher's site
Readers get answers, summaries and voice replies on the publisher's own site, with links back to the articles.
- 03
Editorial plans based on demand
Top queries and demand by country and category show editors which topics readers are asking about.
- 04
Trust through sources
Each answer lists the articles it drew on, so readers can check the reporting behind it.
03 · The Problem → The Outcome
Challenges → Solutions
- 01
Challenges: A large archive is hard to search when readers do not know the exact headline
Solutions: Readers ask in plain Arabic or English and get an answer built from the archive
- 02
Challenges: Keyword search misses stories that use different words for the same topic
Solutions: Keyword and semantic search run side by side and their results are merged
- 03
Challenges: Readers want quick answers and summaries, not a long list of links
Solutions: Answers cite the articles they used, and any set of results can be summarised in one stream
- 04
Challenges: New stories must be searchable as soon as they are published
Solutions: A signed webhook pulls new articles, lists and events from the CMS and updates the index in the background
- 05
Challenges: Editors cannot see what readers are looking for
Solutions: A dashboard shows top queries, demand by country and category, and slow queries
04 · Use cases
Where it fits, by industry
Media
AI for publishers, newsrooms and brand teams with large content archives.
- 01
Archive search and Q&A
Readers ask about people, companies and rankings and get answers drawn from articles, lists and events, with links to each source.
- 02
Editorial analytics
Editors track top queries, content demand by country and category, and slow searches to plan coverage.
- 03
Voice access to the archive
Readers talk to the archive in the browser and hear the answer through a real-time voice session.
05
Enterprise Capabilities
Intended Users
Readers of the publication's site, and the editorial team that follows what readers search for.
Forbes AI Experience
Media search & Q&A
- 01Conversational archive search
- 02Hybrid keyword and semantic search
- 03Cited answers and article summaries
- 04Speech-to-speech conversation
- 05Time-aware questions and filters
- 06Editorial analytics dashboard
06 · Highlights
Key Proof Point
Forbes AI Experience
It runs in production on the publisher's own search site, stays current through a CMS webhook, and answers in Arabic or English with the articles it used.
Technical workshop
Ready for a Technical Workshop?
Walk through sovereign architecture, deployment options, security controls, and enterprise use cases with our platform team — tailored to your industry and infrastructure.
- Data sovereignty
- On-prem deployment
- Arabic-first AI