How to auto-publish realtime search trends via Live News Mode

In lettura: How to auto-publish realtime search trends via Live News Mode

“Realtime” in editorial automation means publishing about events while they’re still unfolding — minutes after the news breaks, not hours. AI Content Generator’s Live News Mode can be configured for sub-hour latency by combining a high-frequency RSS poll with a fast AI provider (Gemini Flash, GPT-4o Mini, Claude Haiku). The result is a campaign that detects a breaking topic, pulls the early coverage, summarises it and publishes — all within 15–30 minutes.

This tutorial walks through the realtime configuration end-to-end: which RSS sources update fastest, the cadence settings that minimise latency, the AI provider choice that keeps generation under 20 seconds, the anti-duplication strategy that prevents republishing the same story as it evolves, and the editorial guards that protect against hallucinated coverage of fast-moving events.

By the end you’ll have a campaign that turns AI Content Generator into a near-realtime newsdesk: detecting breaking topics, producing source-cited summaries within 30 minutes of the trend appearing, and publishing into WordPress automatically — without the risk of fabricated facts.

Fast RSS sources for realtime coverage

Realtime requires sources that update faster than the typical 1-hour blog feed. Four families work well in practice.

Google News realtime RSS — https://news.google.com/rss/search?q=YOUR_QUERY&hl=en&gl=US&ceid=US:en&when=1h. The when=1h parameter restricts to the last hour.
Google Trends realtime RSS — https://trends.google.com/trending/rss?geo=US&hours=2. Trends from the last 2 hours, refreshed roughly every 15 minutes.
Bing News realtime RSS — https://www.bing.com/news/search?q=YOUR_QUERY&format=rss&freshness=Day. Bing’s news RSS with freshness restriction.
Niche-specific newsroom feeds — direct RSS from outlets that update minute-by-minute (Reuters, AP, TechCrunch, Bloomberg). These are the fastest sources for industry-specific realtime coverage.

Step 1 — Configure Live News Mode with multiple fast feeds

AI Content Generator Live News Mode panel with multiple RSS Feed URLs configured for realtime polling, language selector, max news items, max posts per run and news search window — Live News Mode configured for realtime polling: multiple fast RSS feeds in the RSS Feed URL textarea, the News search window restricted to a short period (2–4 hours), Max posts per run capped to prevent flooding when a story breaks.

Inside the campaign editor, open Live News Mode and set News source to RSS. Paste 3–5 fast RSS feeds into the RSS Feed URL textarea — one per line. The combined queue gives you redundant coverage of the same niche from multiple angles, increasing the chance you catch breaking stories early.

Step 2 — Set realtime cadence

Realtime cadence settings sit at the aggressive end of what AI Content Generator supports:

Fetch RSS every: 15 minutes (Google News and Bing News refresh roughly every 10–15 minutes).
Max news items to fetch: 30 (covers multiple feeds without overflowing).
Max posts per run: 2 (prevents flooding on a big news moment).
News search window (hours): 4 (older items aren’t realtime).

The combination produces near-realtime detection: a story that breaks on minute 0 is in your queue by minute 10–15, published as a draft (or scheduled post) by minute 25–30.

Step 3 — Pick a fast AI provider

For realtime publishing, latency on the AI side matters as much as the cadence. The Mini / Flash / Haiku tier of each provider produces summaries in 10–20 seconds; the heavy tier (Opus, GPT-4o, Pro) takes 30–60 seconds — which on a fast story is the difference between leading and trailing the news cycle.

Gemini 2.0 Flash — fastest sub-10s latency on short summaries; lowest cost.
GPT-4o Mini — slightly slower but more consistent; cheap.
Claude Haiku — middle of the pack; cleanest factual rewrites.

In the AI Provider metabox of the campaign, pick whichever Mini/Flash/Haiku variant gives you the best speed-quality trade-off in your testing. For pure speed, Gemini Flash. For tightest factual accuracy, Claude Haiku.

Step 4 — Configure aggressive dedup against story evolution

The biggest risk in realtime publishing is “story evolution duplication” — the same event surfaces in your RSS feeds three times over four hours as the news evolves, and without dedup you publish three near-identical articles. Anti-duplicates Strict catches most of these; pair it with the Live News Mode “cluster items by topic over rolling 24h” option if available.

The right outcome: one article per topic per 24 hours, written when the story first appears. If a major update happens later in the day, schedule a follow-up article manually rather than letting the campaign auto-republish.

Step 5 — Hard anti-hallucination guards

Realtime content is fact-sensitive. Write strong anti-hallucination guards into Extra AI instructions:

For realtime news items:
- Only state facts present in the source article.
- Never invent quotes, names, numbers, or dates.
- If a detail isn't in the source, say "according to early reports"
  or "details are still emerging" rather than fabricating specifics.
- Always cite the source domain in the lead paragraph.
- If the source itself looks unreliable (rumor sites, social media
  embeds), skip the item rather than summarising it.

These guards reduce volume but protect the publication’s credibility. A realtime campaign that publishes 5 confirmed summaries per day with sources beats one that publishes 15 articles where 3 contain fabricated details.

Step 6 — Output to Draft for the first two weeks

In the Base data metabox, set Output status to Draft for the first two weeks of operation. Realtime content is high-stakes; the editorial review loop catches mistakes the AI made on fast-moving stories before they go public.

After two weeks of stable output where the drafts consistently look publishable without edits, switch Output status to Published. The campaign moves from “AI-assisted realtime newsdesk” to “AI-driven realtime newsdesk”.

Step 7 — Monitor the AI Content Generator Logs panel

Open AI Content Generator → Logs regularly. For each fetch, the panel shows the items pulled, the items deduped, the items rejected by the niche filter, and the actual generation latency. Use these numbers to tune.

Generation latency creeping above 30 seconds: switch to a faster provider variant.
Dedup rate above 80%: feeds are too redundant; prune.
Niche filter rejection above 90%: feeds are too off-topic; replace.

Troubleshooting

Story breaks at 09:00, you publish at 11:30 — fetch frequency is too low. Drop from 60min to 15min.
Multiple articles about the same event — dedup is off or too lenient. Switch to Strict + enable topic clustering.
Latency on the AI side exceeds 60 seconds — wrong provider variant. Switch to a Mini/Flash/Haiku.
Hallucinated quotes appear in some articles — anti-hallucination guards are too soft. Strengthen them and add “always cite source with link”.
Campaign floods on a big news day — Max posts per run is too high. Cap at 2 or 3.

You’re done

That’s the full realtime configuration: 3–5 fast RSS feeds in Live News Mode, fetch every 15 minutes, max 2 posts per run, fast AI provider (Gemini Flash / Mini / Haiku), Strict Anti-duplicates with topic clustering, strong anti-hallucination guards in Extra AI instructions, Draft output for the first two weeks.

From here the campaign behaves like a near-realtime newsdesk for your niche — picking up breaking stories within 15 minutes of appearance, publishing source-cited summaries within 30 minutes, never fabricating details. The publishing operation gains a speed it couldn’t reach with a human-only team, while keeping the credibility that distinguishes useful editorial automation from low-quality AI mass-production.