Webinar topic validation

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# Webinar topic validation

For three to six candidate topics and one product category. A webinar topic needs demand (search), currency (podcasts) and pain (reviews).

## 1. What analysts are already covering

1. List upcoming analyst webinars with @[Gartner · Webinars search](alexandria:gartner-com/events/webinars_search) (`function_tag`, `start_after` = today). Open the two closest to each candidate with @[Gartner · Webinar detail](alexandria:gartner-com/events/webinar_detail) (`event_id`) for the angle and speakers. Topics Gartner covers heavily need a sharper angle.

## 2. Demand and currency

2. Chart the candidates with @[Trends · Interest over time](alexandria:firecrawl-trends/trends/interest_over_time) (`keywords`, `geo`, `time=today 12-m`).
3. Count practitioner discussion with @[Particle · Episode counts over time](alexandria:particle/podcasts/episodes/timeseries) (`semantic_search` = topic, `published_after` = six months ago, `interval=month`). Rising counts mean the topic is current.

## 3. Real pain

4. Find the category leader with @[PeerSpot · Search](alexandria:peerspot-com/software-reviews/search) (`query`), then read @[PeerSpot · Reviews](alexandria:peerspot-com/software-reviews/reviews) (`slug`, two pages). Map recurring complaints and wishes to the candidate topics.

## Write the topic list

- **Ranked table:** topic, search trend, podcast trend, review pain matches, analyst coverage, score.
- **Titles:** two working titles per top topic, each built on a quoted pain point.
- **Avoid:** topics with falling interest or saturated analyst coverage.
- **Sources:** cite each signal to its capability. Say what could not be found rather than guessing.

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