How long does it take for AI to index new content? Seeing wildly different timelines
Community discussion on AI content indexing timelines. Real data on how fast ChatGPT, Perplexity, and other AI systems discover and cite new content.
We published major new content two months ago. It still doesn’t show up in AI answers for relevant prompts.
Our situation:
What we observe:
Questions:
Frustrating that we’re investing in fresh content but AI just serves stale results.
AI discovery is fundamentally different from Google indexing. Here’s the reality:
How Different AI Platforms Work:
| Platform | Discovery Method | Typical Timeline |
|---|---|---|
| Perplexity | Real-time web search | Days to weeks |
| ChatGPT (with browsing) | Browsing + training data | Weeks to months |
| ChatGPT (base) | Training data only | Months (next training cycle) |
| Claude | Training data primarily | Months |
| Google AI Overview | Google index + real-time | Days to weeks |
What speeds up discovery:
External signals matter most
Technical accessibility
Content characteristics
The uncomfortable truth: Getting into ChatGPT’s base model requires either real-time browsing being triggered OR waiting for the next training data update. External signals accelerate the former.
Reddit is the discovery accelerator that most people miss.
Why Reddit matters:
What worked for us:
New content published: Day 0 Posted genuinely helpful comment on relevant subreddit with link: Day 3 Content appeared in Perplexity answers: Day 8 Content started appearing in ChatGPT (browsing mode): Day 15
The authentic approach:
The Reddit signal seemed to accelerate discovery across platforms.
Caveat: This only works for genuinely valuable content. Reddit will downvote and report spam.
Before worrying about speed, verify access.
Check your robots.txt for:
User-agent: GPTBot
User-agent: PerplexityBot
User-agent: ClaudeBot
User-agent: Anthropic-AI
User-agent: Google-Extended
If any are blocked, you’ve found your problem.
Check server logs for:
What we discovered: New content section was in a /resources/ subfolder that was accidentally blocked by a legacy robots.txt rule. Content was never crawled.
Fixed the rule. Content started appearing within 3 weeks.
Other access issues:
Check access before assuming discovery is the problem.
Internal linking from frequently-crawled pages accelerates discovery.
The logic: AI crawlers discover new pages by following links. If new content isn’t linked from pages AI already visits, discovery is slower.
How to identify high-crawl pages:
Discovery acceleration tactic: Add links to new content from your top 10 most-crawled pages.
Our implementation:
New content linked from high-crawl pages got discovered 2-3x faster than orphan content.
External mentions accelerate discovery dramatically.
High-impact mention sources:
Our PR approach for new content:
Week 1:
Week 2:
Week 3:
Average discovery acceleration: Without external signals: 6-8 weeks With focused mention building: 2-3 weeks
The external web signals seem to trigger AI system attention.
Basic but often missed: sitemap optimization for AI.
Sitemap best practices:
Include new content immediately
LastMod accuracy
Priority signals
Multiple sitemaps
Also consider: llms.txt
Emerging standard for AI-specific content hints:
# llms.txt
# Content optimized for AI
Preferred content: /guides/
Preferred content: /resources/
FAQ content: /faq/
Not universally supported yet, but forward-thinking.
Freshness signals help both discovery and ongoing visibility.
Freshness signals that matter:
Visible dates
Schema dates
Content versioning
Changelog sections
Why this accelerates discovery: AI systems favor current content. Fresh signals help new content get prioritized over stale alternatives.
We added prominent “Last Updated” dates to all content. Saw improved AI crawl frequency within 2 weeks.
Page speed affects AI crawl behavior.
The performance threshold:
Our speed optimization:
Before: FCP 2.1s, GPTBot visits monthly After: FCP 0.6s, GPTBot visits weekly
Faster sites get crawled more frequently. Frequent crawling means faster discovery of new content.
Different platforms, different strategies.
Perplexity (fastest discovery):
Google AI Overview:
ChatGPT (browsing mode):
ChatGPT/Claude (base models):
Strategy matrix:
| Goal | Focus |
|---|---|
| Fast visibility | Perplexity + Google AI |
| Broad visibility | External signals + authority |
| Long-term visibility | Training data + persistence |
Prioritize platforms based on your audience behavior.
This explains everything. Action plan for new content:
Pre-launch (Day -7 to 0):
Launch (Day 0):
Week 1:
Week 2:
Week 3-4:
Key insights:
Thank you all - now I understand why some content takes forever and what to do about it.
Get personalized help from our team. We'll respond within 24 hours.
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