Speak to your coverage.
What did this morning's front pages say about the summit?
English or Arabic — Fusha, Khaleeji or Maghrebi — Hindi, Marathi, Telugu, French, German, Chinese. In your own accent, at your own pace. It understands, reads everything you monitor, and answers fluently — with every claim cited.
It doesn't search the internet. It reads your monitoring.
The question runs against the coverage you already own — television and radio transcribed as they air, print scanned and read, the open web, and the social platforms — in real time and twenty years deep. Then it answers in the language you asked in.
“How did coverage of the port expansion shift after the announcement?”
Coverage multiplied 4.3× in the fortnight after the announcement, and the tone moved decisively positive — led by broadcast, echoed in regional print.
This is not a chatbot.
A general assistant knows a little about everything and nothing about you — and when it runs out of knowledge, it improvises. Ask Weaver is built on the opposite bargain.
A model of our own
Not a wrapper around a general-purpose chatbot. Ask Weaver runs on our own model, fine-tuned for media analysis — and tuned again on your coverage, your entities, your terminology.
Sealed to your data
Grounded one hundred percent in what you monitor. It cannot exceed that boundary — and it deploys inside your own perimeter, so neither can your questions.
It counts, and it cites
Figures are computed across every matching item, not estimated from a sample — and every claim is traceable to the article, bulletin or post behind it.
It says “I don't know”
Where the coverage doesn't support an answer, it declines and shows you what it searched. Nothing invented: no hallucinated numbers, no imagined sources.
Your monitored coverage contains no report of a press conference by the minister yesterday.
I don't have the evidence to answer this.
The nearest coverage: three items on the ministry's quarterly review, published two days earlier — say the word and I'll take you through them.
The answer that refuses to guess is the one you can take to leadership.
Not a mock-up. This is what came back.
One question, asked of a week of monitored coverage, reproduced as returned — sources, dates, and the provenance strip that lets anyone check it.
Headline take
This week's monitored coverage is dominated by reputation as a fast-moving, hard-to-correct risk — driven less by classic PR issues and more by AI-generated distortion, geopolitical escalation narratives, and accusations of coordinated smear. An exact overall volume for the week is not available, but the conversation skews overwhelmingly neutral (848 items) in tone — suggesting reputational risk is being discussed as an operational concept, not only as a crisis reaction.
1) AI-driven reputational harm — deepfakes, hallucinations, “AI answers as truth”
The sharpest, most actionable risk thread is AI content causing instant credibility damage, whether through deepfakes or confident but wrong AI outputs.
- Deepfakes framed as a rapid reputational “kill switch”.ColeyUFO · 20 Aug
- Brand damage from AI hallucinations presented as already material: a Fortune 500 product reportedly mislabelled as “discontinued”, with the claim that 35% of brands saw reputational damage from AI hallucinations in 2026.The Agentic Operator · 20 Aug
- A parallel “visibility gap” narrative: customers may rely on AI recommendations that bypass traditional analytics and search monitoring, creating blind spots in brand consideration.SPYDERBOT · 21 Aug
Why it matters: this risk compresses the response window — misinformation can scale before comms teams even detect it, and confident language amplifies belief in false claims.
One question becomes a briefing.
Follow-ups carry context — narrow to television, pull the exact quote, switch the answer into Arabic — without repeating yourself. Put the period in the question the way you'd say it to a colleague: “this week”, “since June”, “over the past year”. There is no date picker.
How did coverage of the port expansion shift after the announcement?
It multiplied — 96 items the week before, 411 the week after — and the tone moved from neutral to clearly positive. The lift came almost entirely from broadcast and regional print.
And on TV specifically?
Eleven bulletins across six channels. The 19:42 evening bulletin carried the longest segment — “a project the region has waited a decade for” — transcribed from the broadcast itself.
Reformat that for the leadership brief — in Arabic.
جاهز — «تضاعفت التغطية أربع مرات بعد الإعلان، وتحوّلت النبرة إلى إيجابية واضحة بقيادة القنوات التلفزيونية…»
Illustrative thread — the answer above is the real thing.
Things worth asking
A genuinely ambiguous question gets a clarifying question back rather than a guess — and answers come back in the language you asked in, tuned to the way your institution writes.
Twenty years back. Four minutes ago.
A bulletin that aired minutes ago is already transcribed and searchable. A front page from 2009 sits in the same index. Both ends of the archive are one question apart — and one answer can cite them side by side.
A print page, scanned
“The first expansion plan” — pulled from a newspaper page digitised into the archive, cited in this morning's answer.
A live bulletin, transcribed
The evening news segment, already searchable — cited in the same answer, alongside the page from 2009.
For questions a single pass can't do justice.
Some questions — “What drove the shift in sentiment, and who moved it?” — aren't one question at all. Deep Research breaks them into their real parts, investigates each independently across the coverage, then reviews its own findings for what's still missing and goes back for it.
What returns is a synthesis drawn from far more of the archive than any single search reads, with sources merged and de-duplicated across every pass.
And it's offered only when it will genuinely add something.
It assesses each question first — how much coverage matched, how much a normal answer already read, whether the question actually decomposes — and stays quiet when a straight answer is as good.
A multi-pass investigation takes a few minutes. You're asked to spend them only when they'll buy you a better answer.
Charts in the answer. A deck when you need one.
Answers arrive with the numbers drawn — counts, trends and share of voice charted alongside the narrative. And when a thread deserves to become a boardroom deliverable — a full deck or PDF, every bar chart, the quantitative and the qualitative — Insight Weaver takes it from there.
Ask Weaver
A question, answered now — counted, cited, in seconds. In any language you speak.
You are hereInsight Weaver
The full analysis, designed and run for you — delivered as a deck or PDF briefing.
Read moreStory Weaver
The words themselves — drafted in your institution's voice, English and Arabic.
Read moreAsk it something about your own coverage.
Tell us the region and the topics you watch. We'll run your real questions through it — in whichever language you'd naturally ask them — and you can check every citation yourself.
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