HeyJaredChris Green
- Indexed articles, last 90 days
- 3
- Latest publication
- Sep 30, 2026
- Outlet visibility, for Search Engine Journal
- Top 500K sites
- Earliest in this view
- Jul 13, 2026
Latest articles
Using Local (AI) Compute To Reduce Reliance On Frontier Models (opens the original)
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A lot of the current AI conversation assumes that “useful” AI means getting an agent to do the whole thing for you. There are some tasks where this does make a lot of sense – if done right – but there are many reasons why this isn’t the best option. If I want to extract & deduplicate a URL list collection from XML sitemaps, you don’t need a frontier model. What is better is to have an XML parser and deduplication script – for example – something cheap to (vibe)code, run, and ultimately is predic
Checking A Page Is Part Of A Retrieval Pipeline For AI (opens the original)
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The “site:” search operator in Google/Bing has been the mainstay of SEOs wanting to check if a page is in a search index if they didn’t have access to Google Search Console or similar. So simple, so effective. Likewise, if you wanted to check to see if page content is indexed (or duplicated in the index), taking a large enough snippet of meaningful text from the page and searching it in quote marks, that also fulfills a similar function. See if this page has been indexed and whether it has been
AI Agent Standards: What Do We Need To Know? (opens the original)
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The search industry is rapidly producing new standards, protocols, and frameworks. Terms like MCP, A2A, ARD, or LLMs.txt have been littering LinkedIn and industry publications. As overwhelming as another collection of acronyms may seem, most of these standards are attempting to solve different problems at different layers of the emerging agent ecosystem. These standards impact different parts of the agent journey, and they impact in different ways. The map (below) looks at whether the protocol i
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Top 500K sites
For Search Engine Journal, the outlet · Measured Aug 1, 2026
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