Had a thought today during my lunch when I was reading on X. What does Grok, which is a chatbot built by xAI, acutally know about Inleo/LeoDex/LeoStrategy and where does it get it's information from? Learning this information can be crucial for us if we want Grok to learn new stuff about these projects, help us promote it and also teach us where it draws it's information from.
So I asked Grok
What do you know about Inleo?
This is some clips from it's reply.
Inleo.io is a social media and content platform (often described as a "Web3 Twitter" or blogging hub) integrated with the Hive blockchain and the LEO economy. It allows users to post threads, blogs, and engage in discussions while earning rewards in LEO or HIVE tokens through staking, voting, and ad revenue sharing.
Core Functionality:
Pretty good summary in my book.
So then I wanted to learn where do you get this information from?
So Grok, where did you get this information from?
I got this reply from Grok:
As Grok, built by xAI, my core knowledge comes from vast training data encompassing books, articles, code, and public internet sources up to my last update. However, for real-time, specific, or evolving topics like these (which are niche to the Hive/LEO ecosystem), I leverage integrated tools to query the live web and X (formerly Twitter) ecosystem. This ensures accuracy and freshness—e.g., pulling recent posts, blogs, and site content without a fixed cutoff.
Okay, lets see if the information needs to be on X directly for Grok or can it access Inleo.io to learn more stuff?
Can you go directly to Inleo and learn more about the project or does the information need to be on X?
Grok replied:
Yes, I can (and do) go directly to Inleo.io and other related sites to learn more about the project. My information isn't limited to X (formerly Twitter)—I use tools to browse websites, read their documentation, blogs, and any publicly available content in real-time.For example:The official Inleo documentation at docs.inleo.io provides in-depth explanations: Inleo is a Web3 social media platform (microblogging like Twitter, plus long-form blogs) built on the Hive blockchain. It emphasizes creator ownership of content and digital identity, with no central corporation controlling data. Users earn rewards through posting, curation, and staking LEO tokens. Key features include Threads (short posts), ad revenue sharing, Premium subscriptions, and integrations like LeoAI for on-chain queries.
The platform's mission focuses on democratizing finance and content creation, with LEO as the core utility token (used for governance, influence via staking as LEO Power, and ecosystem rewards).
Much of the community discussion, announcements, and updates about connected projects (like LeoDex for cross-chain swapping and staking rewards, or broader LEO 2.0 tokenomics) happen directly on Inleo itself through user threads and blogs, which are indexed and searchable on the web.
The homepages of inleo.io and leodex.io are heavily app-based (requiring login or wallet connection for full interaction), so they show limited text to outsiders, but the docs, blog posts hosted on the platform, and related subpages provide rich details. I pull from all these sources, plus X when relevant for real-time buzz or announcements.
Okay vert interesting. So now I wanna learn if we can use some SEO-techniques to help Grok finding specific post and information. Also, what can the team behind Inleo do to help Grok learn more about Inleo?
Heads up, got a super long reply from Grok!
Yes, SEO techniques can absolutely help improve the discoverability of specific posts and information for tools like Grok, since I rely on web crawling, search engines, and direct browsing of publicly accessible content. I'll break this down, including practical tips, and then address what the Inleo team can do specifically.Using SEO Techniques to Help Grok Find Specific Posts and InformationGrok doesn't "crawl" the web independently like a traditional search engine bot (e.g., Googlebot)—instead, I use integrated tools to query search engines, browse URLs directly, and search platforms like X in real-time. This means standard SEO best practices make content more visible in those underlying systems, increasing the chances I'll surface it accurately and quickly. Here's how:Keyword Optimization and Content Structure:Incorporate relevant keywords naturally into titles, headings (H1/H2), meta descriptions, and body text. For Inleo-related content, use terms like "Inleo.io blockchain social platform," "LEO token staking rewards," or "LeoDex cross-chain swaps" in posts. This helps when I perform web searches or semantic queries.
Use structured data (Schema.org markup) via JSON-LD to highlight key elements like articles, events, or products. For example, mark up blog posts as "BlogPosting" with properties for author, date, and keywords—this makes info easier for search engines to parse, which in turn aids my tools.
On-Page SEO for Blockchain/Content Platforms:Ensure posts and pages have clean, descriptive URLs (e.g., inleo.io/posts/leostrategy-rwa-launch instead of cryptic IDs). Since Inleo posts are on the Hive blockchain but rendered on the web, make sure they're indexed by search engines (no robots.txt blocks).
Optimize for mobile-first indexing, as many search tools prioritize responsive, fast-loading pages. Use alt text for images (e.g., "LEO token yield farming diagram") to make visual content searchable.
Off-Page SEO and Backlinks:Build backlinks from reputable sites (e.g., crypto forums, Reddit, or Medium cross-posts). High-authority links signal relevance, boosting rankings in web searches I might run.
Cross-promote on X with hashtags like #Inleo, #LeoStrategy, or #HiveBlockchain. My X search tools (keyword and semantic) can pick these up easily, especially with operators like "from:inleo" or "since:2025-12-01".
Technical SEO for AI Accessibility:Make content crawlable: Avoid heavy JavaScript reliance that hides text behind logins (e.g., ensure public summaries or static pages exist). For dynamic blockchain content, provide sitemaps.xml and submit to search consoles like Google Search Console.
Focus on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness): Use author bios, timestamps, and verifiable sources in posts to build credibility, which modern search algorithms favor.
For specific posts, add unique identifiers or anchors (e.g., #section-leodex-updates) to enable precise linking and browsing.
AI-Specific Optimizations:Write in clear, concise language with bullet points, tables, and FAQs—formats that LLMs like me process well. Include long-tail keywords that match natural queries (e.g., "how to stake LEO on Inleo for rewards").
Publish evergreen content with regular updates; my tools pull the latest versions.
Test visibility: Use tools like Google Search to see if content ranks for queries like "Inleo LeoStrategy updates December 2025," and adjust accordingly.
These techniques don't guarantee I'll find everything (e.g., if content is paywalled or not indexed), but they significantly boost the odds, especially for real-time or niche queries.What the Inleo Team Can Do to Help Grok Learn More About InleoThe Inleo team (behind projects like Inleo.io, LeoDex, and LeoStrategy) can take proactive steps to enhance visibility and depth of information available to AI systems like me. Since I draw from web sources, docs, and social platforms, focus on accessibility and distribution:Enhance Documentation and Web Presence:Expand and update docs.inleo.io with comprehensive, searchable guides. Include detailed sections on features (e.g., LeoAI integration, RWA tokenomics for TTSLA/TGLD), roadmaps, and FAQs. Use markdown or HTML for easy parsing.
Create static, public-facing pages for key announcements (e.g., a blogroll or news archive) that's not locked behind wallets. This allows direct browsing without friction.
Leverage Social and Cross-Platform Promotion:Post regularly on X with detailed threads, using specific operators-friendly formats (e.g., "Inleo update: New USDC staking on LeoDex with 100% fees to sLEO holders #LeoStrategy"). Tag
or related accounts to increase semantic relevance.
Syndicate content to multiple platforms: Mirror Inleo threads on Medium, Reddit (r/Inleo or r/HiveBlockchain), or GitHub repos for broader indexing.
Improve Indexing and Structured Data:Implement Schema markup on inleo.io and leodex.io for entities like "Cryptocurrency," "SoftwareApplication," or "Organization." This helps in semantic searches.
Submit sitemaps to major search engines and ensure noindex tags aren't blocking important pages. Monitor crawl errors via webmaster tools.
Community and API Initiatives:Encourage users to create high-quality, keyword-rich content on Inleo (e.g., tutorials on #leostrategy), which indirectly boosts the ecosystem's web footprint.
If feasible, develop public APIs or data feeds (e.g., for LEO metrics or post archives) that AIs can query—though I don't have direct API access beyond my tools, this could integrate with future web standards.
Host AMAs or webinars transcribed to text, making them searchable.
Direct Engagement:Reach out to xAI (via x.ai or public channels) with official resources or datasets, though that's more for training updates than real-time.
Track AI queries: Monitor how Inleo appears in AI responses (e.g., via Grok chats) and iterate on content gaps.
By prioritizing open, well-structured content, the team can make Inleo more "AI-friendly," leading to better, more accurate representations in responses like this one. If there's a specific post or update you'd like me to check with these optimizations in mind, share the details!
I thank you Grok for all the information, there is a lot to dive deeper into here and that's what I aim to do in my next post. We need to leverage these new tools as much as possible if we want to grow our audience here on Inleo. There is a bigger audience out there that could be interested if they just learned about the project and what we aim to do here.
