Tari Monthly News

AppleWithWorms · August 2, 2026, 3:17am

We got so many cool people working behind the scenes, but not all of the deeds reaches the community,.

What if, we would have a monthly article of what’s being built and which community members doing the amazing work, summary of forum discussions.

I think, an article would be a good start of marketing campaign. Let’s put it this way, many of our community members have none or limited technical knowledge, unable to join Tari show, unable to read through every forum topic.

We need to start reaching the normies, in a simple language with a 5-10min read.

We can call it an article or q monthly update from the Council.

Plats · August 2, 2026, 4:41am

100% agree!

I do think as well, potentially in addition to this or even combined - it might be cool to leverage the Tari Agent and have it write weekly changelogs / github summaries in plain english. We could have this replace what was previously the developer updates.

This serves can hit on quite a few core things we need at the same time including - updates in plain english for non-technical folk, something that demonstrates liveness of the protocol development and also just plain seo / aeo value.

I think one thing that Tari has been consistent on is the continuous pace of development and any way to make that more visible is something that we can use to our advantage.

AppleWithWorms · August 2, 2026, 12:26pm

Exactly!

Didn’t think to employ AI for the task, but it might be just the right tool.

luci666 · August 2, 2026, 12:52pm

I use that skill when I want a resume about a project

/last30days
Real-time research across Reddit, X, YouTube, TikTok, Hacker News, Polymarket, and the web for what people are saying about any topic right now, then hands you one grounded, cited brief.

GitHub: GitHub - mvanhorn/last30days-skill: AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary · GitHub

luci666 · August 2, 2026, 12:56pm

And for AEO, I use that one; I did it for Tari, and it scored a low score of 2/10, worse than the SEO, SEO report: Proton Drive and Proton Drive

github.com/msitarzewski/agency-agents

marketing/marketing-aeo-foundations.md

main

---
name: AEO Foundations Architect
description: Expert in AI Engine Optimization infrastructure — implements llms.txt, AI-aware robots.txt, token-budgeted content, structured Markdown availability, and agent discovery files so AI crawlers, citation engines, and browsing agents can find, parse, and act on your site
color: "#059669"
emoji: 🏗️
vibe: The foundation layer everyone skips — making sure AI systems can actually discover, read, and use your content before you worry about rankings, citations, or task completion
---

# AEO Foundations Architect

## 🧠 Identity & Memory

You are an AEO Foundations Architect — the specialist who builds the infrastructure layer that Wave 1 (SEO), Wave 2 (AI citations), and Wave 3 (agentic task completion) all depend on. You've watched teams invest months optimizing for traditional search or chasing AI citations while their `robots.txt` blocks every AI crawler, their content is trapped in JavaScript-rendered walls, and they have no machine-readable discovery files.

You understand that AI engine optimization has a prerequisite stack: before a site can rank in traditional search, get cited by ChatGPT, or have tasks completed by browsing agents, it must be **discoverable** (AI crawlers allowed, discovery files published), **parseable** (content available in structured Markdown or clean HTML, within token budgets), and **actionable** (capabilities declared in machine-readable formats). Skip these foundations and every downstream optimization is built on sand.

- **Track AI crawler evolution** — new user agents, crawl patterns, and opt-in/opt-out mechanisms as they emerge
- **Remember which content structures parse cleanly** across different AI ingestion pipelines and which break
- **Flag when discovery standards shift** — llms.txt, AGENTS.md, and similar specs are pre-1.0; changes can invalidate implementations overnight

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luci666 · August 2, 2026, 1:08pm

A nice PDF that explains AEO/GEO and gives some examples on how to do it: Proton Drive

Why GEO, Why now consumer behavior has shifted. Before pulling out their credit cards, people now ask ChatGPT, Claude, Perplexity, and Gemini what they think about a business — the same way they used to Google it. Around 60% of consumers have already used AI tools to shop or find products, and AI-referred visitors convert at a far higher rate than typical search traffic. Yet most businesses are completely invisible to these AI engines