Question 1

Do AI crawlers actually read RSS feeds in 2026, or is RSS dead?

Accepted Answer

RSS is not dead. It is one of the most heavily fetched non-HTML formats on the public web by AI training crawlers. Common Crawl's 2025 and 2026 sweeps include over 14 million distinct feed URLs, and major AI vendors maintain dedicated feed-discovery pipelines that fetch RSS and Atom endpoints at a much higher frequency than HTML pages on the same domain. The reason is structural: a feed is the cheapest possible signal of what is new on a site. Crawlers that want to keep training corpora fresh without re-crawling entire domains hit the feed first, diff against the last-seen state, and then queue only the changed URLs for full fetch. For publishers, this means the feed is now a first-class distribution surface for AI training corpora. The quality of what you publish in the feed — full text vs excerpt, accurate dateModified, complete metadata — directly determines whether your content lands in training data with high fidelity or low fidelity, or whether it makes the corpus at all.

Question 2

Should I publish full-text or excerpt-only in my RSS feed for AEO?

Accepted Answer

Full-text, almost without exception, if you care about AI citation share. Excerpt-only feeds were a defensible choice in the ad-supported web era because they forced readers to click through to monetized pages. In the AEO era they are a structural handicap. AI crawlers that fetch a feed and find only a 200-character summary either skip the entry entirely or queue the canonical URL for a separate fetch, which doubles the crawl cost and creates a window where the model can extract only the excerpt. Common Crawl in particular has been documented to ingest the feed body verbatim when full text is present and to discount entries that require a follow-up HTML fetch. Full-text feeds, including images, canonical URLs, author metadata, and publication timestamps, are the lowest-friction way to ship your content into training corpora at high fidelity. The lost ad revenue from clickless feed reads is dwarfed by the citation and entity-graph value of being a high-fidelity training source.

Question 3

What is the difference between Atom and RSS 2.0 for AI crawlers, and does it matter?

Accepted Answer

Functionally the formats are nearly equivalent for AI crawler ingestion, but Atom is meaningfully better for AEO in 2026 because of its stricter semantics. RSS 2.0 has long-standing ambiguities around the pubDate element — which can mean original publication or last update depending on publisher convention — and its content:encoded namespace is optional. Atom is explicit: published is original publication, updated is last modification, and content is required to be either text, html, or xhtml with a defined type attribute. AI crawlers that build incremental indexes prefer Atom because the updated semantics are unambiguous, which is exactly the signal they need for freshness decisions. That said, the dominant CMSs — WordPress, Ghost, Substack — default to RSS 2.0 with content:encoded full text, and crawlers handle that pattern well in practice. If you are starting fresh in 2026, Atom is the slightly cleaner choice. If you already publish a well-formed RSS 2.0 feed with full text and correct timestamps, the conversion benefit is marginal.

Question 4

Do Substack, Ghost, and Medium expose good RSS feeds for AI training by default?

Accepted Answer

The defaults vary significantly across the three platforms, and the differences matter for citation outcomes. Substack publishes a clean RSS 2.0 feed with full HTML content, dc:creator author metadata, and accurate pubDate timestamps at every publication-slug.substack.com/feed URL. The feeds are fully open and heavily indexed by Common Crawl. Ghost defaults to a complete RSS 2.0 feed with full text, structured author and tag metadata, and a stable /rss endpoint, and the Ghost team has publicly stated they will not gate it. Medium is the outlier: its feeds at medium.com/feed/@username return only excerpts and aggressive rate-limit responses to non-browser user agents, including AI crawlers, which is one of the structural reasons Medium content underperforms in AI citation share relative to its publication volume. For publishers choosing a platform in 2026, the RSS posture is a real distribution decision — Substack and Ghost effectively syndicate you into training corpora, while Medium effectively gates you out.

Question 5

What happened to FeedBurner and what should publishers use instead?

Accepted Answer

FeedBurner is functionally dead as a distribution surface in 2026. Google retired its API and most of its features in 2021, kept a skeletal pass-through alive for legacy subscribers, and finally stopped accepting new accounts. Existing FeedBurner URLs still resolve, but the analytics layer is gone and the service no longer adds value over the underlying CMS feed. Publishers running content through FeedBurner today are adding a layer of indirection that confuses crawlers, breaks canonical URL handling, and introduces unnecessary latency between publication and feed appearance. The right pattern in 2026 is to expose the native CMS feed at a stable, conventional URL — /feed, /rss, or /atom.xml — point all feed-discovery link tags to that URL, and use a real analytics layer for subscriber tracking if needed. The cleanest implementations route a custom subdomain like feeds.example.com to the canonical feed and skip third-party feed services entirely.