[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"page_blog-slug_zZAwaWVyKhaLiZtNryZcLIxssZK0bZ7xUDZFDi7wcY":3},{"__nuxt_island":4,"id":88,"head":9,"html":89},{"key":5,"params":6,"result":8},"page_blog-slug_zZAwaWVyKhaLiZtNryZcLIxssZK0bZ7xUDZFDi7wcY",{"url":7,"props":-1},"/blog/ai-tools-for-email-workflows",{"head":9},{"script":10,"meta":26,"link":80,"title":68},[11,17,21,22,23,24,25],{"id":12,"type":13,"processTemplateParams":14,"innerHTML":15,"tagPosition":16},"nuxt-og-image-options","application/json",true,"[{\"component\":1,\"props\":2},\"OgImageBlogPost\",{\"title\":3,\"description\":4},\"The Best AI Tools to Pair With Your Email Workflow\",\"A practical guide to combining ChatGPT, Claude, Gemini, Notion AI, and other LLM tools with your email — and how EmailShot Markdown export turns any email into AI-ready source material.\"]","bodyClose",{"key":18,"tagPosition":16,"tagPriority":19,"innerHTML":20},":NIiDfe5__B:","critical","document.querySelectorAll('[data-prehydrate-id*=\":NIiDfe5__B:\"]').forEach(e=>{let t=window._nuxtTimeNow||=Date.now(),n=(e,t)=>t>0?e[0].toUpperCase()+e.slice(1):e,r=e.getAttribute(`datetime`);if(!r)return;let i=new Date(r);if(Number.isNaN(i.getTime()))return;let a={};for(let t of e.getAttributeNames())if(t.startsWith(`data-`)){let r=t.slice(5).split(`-`).map(n).join(``);r===`relativeStyle`&&(r=`style`),a[r]=e.getAttribute(t)}if(a.relative){let n=(i.getTime()-t)/1e3,r=[{unit:`second`,seconds:1,threshold:60},{unit:`minute`,seconds:60,threshold:60},{unit:`hour`,seconds:3600,threshold:24},{unit:`day`,seconds:86400,threshold:30},{unit:`month`,seconds:2592e3,threshold:12},{unit:`year`,seconds:31536e3,threshold:1/0}],{unit:o,seconds:s}=r.find(({seconds:e,threshold:t})=>Math.abs(n/e)\u003Ct)||r[r.length-1],c=n/s;e.textContent=new Intl.RelativeTimeFormat(a.locale,a).format(Math.round(c),o)}else e.textContent=new Intl.DateTimeFormat(a.locale,a).format(i)})",{"key":18,"tagPosition":16,"tagPriority":19,"innerHTML":20},{"key":18,"tagPosition":16,"tagPriority":19,"innerHTML":20},{"key":18,"tagPosition":16,"tagPriority":19,"innerHTML":20},{"key":18,"tagPosition":16,"tagPriority":19,"innerHTML":20},{"key":18,"tagPosition":16,"tagPriority":19,"innerHTML":20},[27,30,33,36,38,40,43,45,48,50,53,56,59,62,64,66,67,69,70,73,76,78],{"property":28,"content":29},"og:image","/__og-image__/image/blog/ai-tools-for-email-workflows/og.png",{"property":31,"content":32},"og:image:type","image/png",{"name":34,"content":35},"twitter:card","summary_large_image",{"name":37,"content":29},"twitter:image",{"name":39,"content":29},"twitter:image:src",{"property":41,"content":42},"og:image:width",1200,{"name":44,"content":42},"twitter:image:width",{"property":46,"content":47},"og:image:height",600,{"name":49,"content":47},"twitter:image:height",{"hid":51,"property":51,"content":52},"og:type","article",{"hid":54,"property":54,"content":55},"og:url","https://emailshot.io/blog/ai-tools-for-email-workflows/",{"property":57,"content":58},"og:title","The Best AI Tools to Pair With Your Email Workflow",{"name":60,"content":61},"description","A practical guide to combining ChatGPT, Claude, Gemini, Notion AI, and other LLM tools with your email — and how EmailShot Markdown export turns any email into AI-ready source material.",{"property":63,"content":61},"og:description",{"property":28,"content":65},"/img/emailshot-screenshot.png",{"name":60,"content":61},{"property":57,"content":68},"The Best AI Tools to Pair With Your Email Workflow - EmailShot Blog",{"property":63,"content":61},{"property":71,"content":72},"article:published_time","2026-05-09",{"property":74,"content":75,"key":75},"article:tag","tips",{"property":74,"content":77,"key":77},"productivity",{"property":74,"content":79,"key":79},"llm",[81,83],{"rel":82,"href":55},"canonical",{"rel":84,"type":85,"title":86,"href":87},"alternate","application/rss+xml","EmailShot Blog RSS Feed","https://emailshot.io/blog/rss.xml","zZAwaWVyKhaLiZtNryZcLIxssZK0bZ7xUDZFDi7wcY","\u003Cdiv class=\"blog-view\" data-island-uid>\u003Cmain>\u003C!--[-->\u003C!--[-->\u003C!---->\u003C!---->\u003C!---->\u003C!---->\u003C!---->\u003C!---->\u003C!--[-->\u003C!---->\u003C!---->\u003C!---->\u003C!--]-->\u003C!--]-->\u003Carticle>\u003Cdiv class=\"container\">\u003Cheader class=\"mb-4\">\u003Cdiv class=\"section-heading\">\u003Ch1 class=\"blog-article-title mb-1 fw-bolder\">The Best AI Tools to Pair With Your Email Workflow\u003C/h1>\u003Cdiv class=\"line\">\u003C/div>\u003C/div>\u003Cdiv class=\"d-flex flex-wrap align-items-center gap-3 text-muted mb-3\">\u003Cdiv class=\"fst-italic\"> Published on \u003Ctime data-year=\"numeric\" data-month=\"long\" data-day=\"numeric\" datetime=\"2026-05-09T00:00:00.000Z\" data-prehydrate-id=\":NIiDfe5__B:\">May 9, 2026\u003C/time>\u003C/div>\u003C!---->\u003C/div>\u003Cdiv class=\"mb-3\">\u003C!--[-->\u003Cspan class=\"badge bg-secondary me-1\">tips\u003C/span>\u003Cspan class=\"badge bg-secondary me-1\">productivity\u003C/span>\u003Cspan class=\"badge bg-secondary me-1\">llm\u003C/span>\u003C!--]-->\u003C/div>\u003C/header>\u003Cdiv class=\"row\">\u003Cdiv class=\"col-lg-8\">\u003Cdiv class=\"blog-content\">\u003Cdiv>\u003Cp>\u003C!--[-->The average knowledge worker now receives more than 120 emails a day, and most of us subscribe to dozens of newsletters on top of that. Reading all of it carefully is no longer realistic — but skimming and forgetting means losing access to a goldmine of research, customer feedback, and industry analysis that lives in your inbox.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->AI tools have quietly become the most useful counterweight to inbox overload. Pair the right tool with the right workflow and a forty-minute reading session collapses into a five-minute briefing — without losing the substance. This guide walks through the AI tools that actually earn their keep alongside email, the workflows that combine them well, and how EmailShot's Markdown export fits into the picture.\u003C!--]-->\u003C/p>\u003Ch2 id=\"why-email-is-the-right-source-material-for-ai\">\u003Ca href=\"#why-email-is-the-right-source-material-for-ai\">\u003C!--[-->Why Email Is the Right Source Material for AI\u003C!--]-->\u003C/a>\u003C/h2>\u003Cp>\u003C!--[-->Inboxes are messy, but the \u003Cem>\u003C!--[-->content\u003C!--]-->\u003C/em> in them is unusually high quality. Newsletters distilled by domain experts. Research forwarded by colleagues. Customer responses that capture genuine reactions. Vendor proposals with real numbers attached. None of this is generic web content — it's curated material that arrived because someone thought it was worth your attention.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->The problem has always been getting that content out of email and into a form an AI tool can work with. Forwarded emails arrive with broken formatting. Copy-paste loses links and structure. Screenshots strip out everything an LLM needs to actually read the message. The friction between "I have an interesting email" and "the AI has it as clean input" is what kills most workflows before they start.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->That's the gap \u003Ca href=\"/blog/export-emails-markdown-pdf/\" class=\"\">\u003C!--[-->EmailShot's Markdown export\u003C!--]-->\u003C/a> closes. One click on any EmailShot page produces a clean Markdown file: subject as H1, From/To/Date headers preserved, HTML body converted with links and lists intact, and a footer linking back to the original. It's a format every AI tool understands without any conversion step in between.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->With that piece in place, here are the tools worth combining it with.\u003C!--]-->\u003C/p>\u003Ch2 id=\"general-purpose-llms-chatgpt-claude-and-gemini\">\u003Ca href=\"#general-purpose-llms-chatgpt-claude-and-gemini\">\u003C!--[-->General-Purpose LLMs: ChatGPT, Claude, and Gemini\u003C!--]-->\u003C/a>\u003C/h2>\u003Cp>\u003C!--[-->For one-off email tasks — summarizing a long thread, drafting a reply, extracting action items, comparing two vendor proposals — a general-purpose chat assistant is still the fastest tool. The three big players each have a slightly different sweet spot.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->ChatGPT\u003C!--]-->\u003C/strong> remains the strongest all-rounder for ad-hoc work. Its file upload and Projects features make it easy to drop a Markdown-exported email in, attach a few related ones, and ask comparative questions. If you live in a mixed stack, it's the safest default.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->Claude\u003C!--]-->\u003C/strong> is the model most often singled out for email-specific tone work. It tends to match register more naturally, follows multi-step instructions cleanly, and avoids the slightly stiff "AI voice" that other models drift toward when drafting professional replies. For anyone who writes a lot of nuanced email — sales, partnerships, support escalations — Claude is worth keeping in the rotation.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->Gemini\u003C!--]-->\u003C/strong> wins when your data lives in Google Workspace. Inside Gmail, it can summarize long threads, draft replies, and pull context from your Calendar and Drive without you copying anything around. The catch is that it only sees what's already in your Workspace, so for content from other inboxes or shared with you as a link, you still need a way to bring it in cleanly — which is where the Markdown export comes back.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->A practical rule of thumb: use Gemini for anything that's already in your own Gmail, and use Claude or ChatGPT when you need to feed in external email content (a colleague forwarded a newsletter, a client shared a proposal, a vendor sent a pitch via someone else). For the second case, \u003Ca href=\"/blog/getting-started-with-email-sharing/\" class=\"\">\u003C!--[-->EmailShot the email\u003C!--]-->\u003C/a>, grab the Markdown, and paste.\u003C!--]-->\u003C/p>\u003Ch3 id=\"a-simple-summarization-prompt-that-works\">\u003Ca href=\"#a-simple-summarization-prompt-that-works\">\u003C!--[-->A simple summarization prompt that works\u003C!--]-->\u003C/a>\u003C/h3>\u003Cp>\u003C!--[-->Once you have a Markdown-exported email in front of an LLM, this prompt is hard to improve on:\u003C!--]-->\u003C/p>\u003Cblockquote>\u003C!--[-->\u003Cp>\u003C!--[-->Read the email below. Give me: (1) a one-sentence summary, (2) the three most important points, (3) any explicit asks or deadlines directed at me, and (4) a suggested next action. Be concise.\u003C!--]-->\u003C/p>\u003C!--]-->\u003C/blockquote>\u003Cp>\u003C!--[-->Run it on any newsletter, long thread, or vendor email and you get a useful brief in seconds. The structured Markdown export gives the model a clean signal to work with — no HTML noise, no quoted-reply chains, no inline tracking pixels.\u003C!--]-->\u003C/p>\u003Ch2 id=\"knowledge-bases-notion-ai-and-obsidian\">\u003Ca href=\"#knowledge-bases-notion-ai-and-obsidian\">\u003C!--[-->Knowledge Bases: Notion AI and Obsidian\u003C!--]-->\u003C/a>\u003C/h2>\u003Cp>\u003C!--[-->For the next layer up — turning email content into something you can come back to weeks or months later — the right tool is a knowledge base, not a chat window.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->Notion AI\u003C!--]-->\u003C/strong> has matured significantly. Its 2026 Agents can search across your workspace, update database entries, and draft responses with context from connected sources. If your team already runs on Notion, dropping Markdown-exported emails into a "Sources" database and letting Notion AI cross-reference them against project pages is a low-friction way to build a shared memory of customer feedback, competitor moves, or supplier communications.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->Obsidian\u003C!--]-->\u003C/strong> is the choice for people who want a local-first, file-based vault they fully control. Every note is a Markdown file on disk, plugins connect to whatever model you prefer (including Claude via the MCP integration), and the graph view surfaces unexpected connections between notes. Because EmailShot exports directly to Markdown, an email becomes a vault note with no conversion step — drop it in your \u003Ccode class=\"\">\u003C!--[-->inbox/\u003C!--]-->\u003C/code> folder, run your usual processing routine, and let it become part of your second brain.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->The pattern that ties both tools together is the \u003Ca href=\"/blog/export-emails-markdown-pdf/\" class=\"\">\u003C!--[-->LLM Wiki approach popularized by Andrej Karpathy\u003C!--]-->\u003C/a>: keep raw sources untouched, let an LLM maintain a curated wiki of summaries and entity pages on top, and feed it new material as it arrives. Email is one of the best raw inputs for this pattern, and Markdown is the format that makes it possible.\u003C!--]-->\u003C/p>\u003Ch2 id=\"specialized-email-ai-tools\">\u003Ca href=\"#specialized-email-ai-tools\">\u003C!--[-->Specialized Email AI Tools\u003C!--]-->\u003C/a>\u003C/h2>\u003Cp>\u003C!--[-->Beyond the general-purpose models, a handful of tools are built specifically around email.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->Superhuman\u003C!--]-->\u003C/strong> has leaned hard into AI over the past year — instant reply suggestions, automatic follow-up reminders, and inbox summaries that surface what actually needs attention. If you live in your inbox all day, it pays for itself quickly.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->Missive\u003C!--]-->\u003C/strong> is the collaborative client of choice for teams. Its standout feature is multi-model support: you can connect Claude, ChatGPT, and Gemini and pick the right one for each task without leaving the email view.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->Readless, Migma, and similar newsletter aggregators\u003C!--]-->\u003C/strong> consolidate dozens of subscriptions into a single AI-generated digest. Useful if your relationship with newsletters is mostly skim-and-delete. Less useful if you actually want to retain and revisit content — for that, Markdown export plus a knowledge base is a better fit.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->\u003Cstrong>\u003C!--[-->Email subject line and spam-check tools\u003C!--]-->\u003C/strong> are a different category but worth mentioning. AI-driven testers analyze open-rate predictors, sentiment, and spam triggers before you hit send. For anyone running campaigns or cold outreach, they pair well with a \u003Ca href=\"/blog/understanding-email-authentication/\" class=\"\">\u003C!--[-->careful look at email authentication\u003C!--]-->\u003C/a> — getting opened starts with not getting filtered.\u003C!--]-->\u003C/p>\u003Ch2 id=\"concrete-workflows-worth-stealing\">\u003Ca href=\"#concrete-workflows-worth-stealing\">\u003C!--[-->Concrete Workflows Worth Stealing\u003C!--]-->\u003C/a>\u003C/h2>\u003Cp>\u003C!--[-->Here are a few combinations that work well in practice.\u003C!--]-->\u003C/p>\u003Ch3 id=\"the-friday-newsletter-triage\">\u003Ca href=\"#the-friday-newsletter-triage\">\u003C!--[-->The Friday newsletter triage\u003C!--]-->\u003C/a>\u003C/h3>\u003Cp>\u003C!--[-->Subscribe to ten or fifteen newsletters all week. On Friday afternoon, EmailShot the three or four that look genuinely interesting, grab the Markdown, paste them as a single block into Claude or ChatGPT, and ask:\u003C!--]-->\u003C/p>\u003Cblockquote>\u003C!--[-->\u003Cp>\u003C!--[-->Across these emails, what are the three threads or themes that show up more than once? For each, what is the most concrete claim or data point? End with anything I should actually act on.\u003C!--]-->\u003C/p>\u003C!--]-->\u003C/blockquote>\u003Cp>\u003C!--[-->The result is a synthesis across multiple sources rather than four separate summaries. It usually surfaces patterns you wouldn't have spotted reading each one in isolation.\u003C!--]-->\u003C/p>\u003Ch3 id=\"the-customer-feedback-loop\">\u003Ca href=\"#the-customer-feedback-loop\">\u003C!--[-->The customer feedback loop\u003C!--]-->\u003C/a>\u003C/h3>\u003Cp>\u003C!--[-->Support emails, sales objections, churn-survey replies — any team that talks to customers has a steady stream of unstructured feedback in email form. EmailShot the most signal-rich ones, drop the Markdown into a Notion database (or Obsidian folder), and run a weekly LLM pass:\u003C!--]-->\u003C/p>\u003Cblockquote>\u003C!--[-->\u003Cp>\u003C!--[-->Review this week's new entries. Update the "Recurring complaints" page if any complaint appears in more than one email. Update the "Feature requests" page with anything explicitly requested. Flag anything that contradicts what we currently say on the relevant entity pages.\u003C!--]-->\u003C/p>\u003C!--]-->\u003C/blockquote>\u003Cp>\u003C!--[-->This is the LLM Wiki pattern applied to customer voice. It compounds over time — your synthesis pages get richer with every new piece of feedback.\u003C!--]-->\u003C/p>\u003Ch3 id=\"the-vendor-comparison-brief\">\u003Ca href=\"#the-vendor-comparison-brief\">\u003C!--[-->The vendor comparison brief\u003C!--]-->\u003C/a>\u003C/h3>\u003Cp>\u003C!--[-->When evaluating vendors or tools, you usually end up with a folder of proposal emails, demo recaps, and pricing sheets. EmailShot each one, gather the Markdown into a single document, and ask Claude or ChatGPT for a side-by-side comparison along whatever dimensions matter (price, contract length, security posture, integration coverage). Markdown export is what makes this practical — the alternative is copy-pasting from six different threads with broken formatting.\u003C!--]-->\u003C/p>\u003Ch3 id=\"the-personal-second-brain-digest\">\u003Ca href=\"#the-personal-second-brain-digest\">\u003C!--[-->The personal "second brain" digest\u003C!--]-->\u003C/a>\u003C/h3>\u003Cp>\u003C!--[-->For individual knowledge workers, a lightweight version of all of this works well: a daily or weekly habit of EmailShotting the two or three emails worth keeping, dropping them into Obsidian, and running a short LLM script to update topical notes. After a few months, you have a searchable, AI-queryable archive of the best material that crossed your inbox — which is more than most people get out of years of accumulated newsletters.\u003C!--]-->\u003C/p>\u003Ch2 id=\"where-emailshot-fits\">\u003Ca href=\"#where-emailshot-fits\">\u003C!--[-->Where EmailShot Fits\u003C!--]-->\u003C/a>\u003C/h2>\u003Cp>\u003C!--[-->Most of these workflows have one thing in common: they need clean, structured email content as input. That's the role EmailShot plays. The Gmail add-on turns any email into a stable URL and — via the \u003Ca href=\"/blog/export-emails-markdown-pdf/\" class=\"\">\u003C!--[-->Markdown export\u003C!--]-->\u003C/a> on every EmailShot page — into a file format every AI tool can read without translation.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->A few practical notes:\u003C!--]-->\u003C/p>\u003Cul>\u003C!--[-->\u003Cli>\u003C!--[-->The Markdown export preserves links and headers, so when an LLM cites a fact from a newsletter you can trace it back to the original sentence.\u003C!--]-->\u003C/li>\u003Cli>\u003C!--[-->The footer link points back to the live EmailShot URL, so wiki entries and AI summaries can cite their sources properly.\u003C!--]-->\u003C/li>\u003Cli>\u003C!--[-->\u003Ca href=\"/docs/kb/emailshot-creation-options/\" class=\"\">\u003C!--[-->Privacy options\u003C!--]-->\u003C/a> (sender anonymization, expiration dates, password protection) let you control what ends up in shared knowledge bases — useful when team workflows pull in emails with personal data.\u003C!--]-->\u003C/li>\u003Cli>\u003C!--[-->For Workspace-heavy teams, \u003Ca href=\"/blog/embed-emails-google-docs-smart-chips/\" class=\"\">\u003C!--[-->Smart Chips\u003C!--]-->\u003C/a> embed the same EmailShot link as a hover-preview chip in Docs, Sheets, and Slides — a parallel surface for the same content.\u003C!--]-->\u003C/li>\u003C!--]-->\u003C/ul>\u003Cp>\u003C!--[-->None of these AI tools are useful if the underlying content is locked inside Gmail. The point of pairing them with EmailShot is that, with one click, any email becomes structured, portable input for whatever you want to do with it next.\u003C!--]-->\u003C/p>\u003Ch2 id=\"getting-started\">\u003Ca href=\"#getting-started\">\u003C!--[-->Getting Started\u003C!--]-->\u003C/a>\u003C/h2>\u003Cp>\u003C!--[-->If you want to try the workflows above, the setup is short:\u003C!--]-->\u003C/p>\u003Col>\u003C!--[-->\u003Cli>\u003C!--[-->\u003Ca href=\"https://workspace.google.com/marketplace/app/emailshot/392337853098\" rel=\"external\">\u003C!--[-->Install EmailShot from the Google Workspace Marketplace\u003C!--]-->\u003C/a> — about thirty seconds.\u003C!--]-->\u003C/li>\u003Cli>\u003C!--[-->Open the next interesting newsletter or thread in Gmail and click the EmailShot icon.\u003C!--]-->\u003C/li>\u003Cli>\u003C!--[-->On the resulting page, use the dropdown next to \u003Cstrong>\u003C!--[-->Share this email\u003C!--]-->\u003C/strong> and choose \u003Cstrong>\u003C!--[-->Get Markdown\u003C!--]-->\u003C/strong>.\u003C!--]-->\u003C/li>\u003Cli>\u003C!--[-->Paste the Markdown into ChatGPT, Claude, Gemini, Notion, or Obsidian and start experimenting.\u003C!--]-->\u003C/li>\u003C!--]-->\u003C/ol>\u003Cp>\u003C!--[-->For a fuller walkthrough of EmailShot itself, the \u003Ca href=\"/blog/getting-started-with-email-sharing/\" class=\"\">\u003C!--[-->getting started guide\u003C!--]-->\u003C/a> covers the basics in under a minute. And if you want to read more about the format-as-infrastructure idea behind the export, the \u003Ca href=\"/blog/export-emails-markdown-pdf/\" class=\"\">\u003C!--[-->Markdown and PDF launch post\u003C!--]-->\u003C/a> goes into detail on why this combination has unexpected leverage.\u003C!--]-->\u003C/p>\u003Cp>\u003C!--[-->The AI tools are good. The trick is making sure your inbox can actually feed them.\u003C!--]-->\u003C/p>\u003C/div>\u003C/div>\u003Cdiv class=\"mt-5 pt-4 border-top\">\u003Ca href=\"/blog/\" class=\"btn btn-outline-primary\"> ← Back to Blog \u003C/a>\u003C/div>\u003C/div>\u003Cdiv class=\"col-lg-4\">\u003Cdiv class=\"card mb-4\">\u003Cdiv class=\"card-header fw-semibold\"> Recent Posts \u003C/div>\u003Cdiv class=\"card-body\">\u003Cul class=\"list-unstyled mb-0\">\u003C!--[-->\u003Cli class=\"mb-3\">\u003Ca href=\"/blog/export-emails-markdown-pdf/\" class=\"text-decoration-none blog-sidebar-link\">Export Emails as Markdown or PDF — and Why Format Matters More Than Ever\u003C/a>\u003Cdiv class=\"text-muted small\">\u003Ctime data-year=\"numeric\" data-month=\"short\" data-day=\"numeric\" datetime=\"2026-04-07T00:00:00.000Z\" data-prehydrate-id=\":NIiDfe5__B:\">Apr 7, 2026\u003C/time>\u003C/div>\u003C/li>\u003Cli class=\"mb-3\">\u003Ca href=\"/blog/what-are-vcf-files/\" class=\"text-decoration-none blog-sidebar-link\">What Are VCF Files and How to Open Them\u003C/a>\u003Cdiv class=\"text-muted small\">\u003Ctime data-year=\"numeric\" data-month=\"short\" data-day=\"numeric\" datetime=\"2026-03-27T00:00:00.000Z\" data-prehydrate-id=\":NIiDfe5__B:\">Mar 27, 2026\u003C/time>\u003C/div>\u003C/li>\u003Cli class=\"mb-3\">\u003Ca href=\"/blog/what-are-ics-files/\" class=\"text-decoration-none blog-sidebar-link\">What Are ICS Files and How to Open Them\u003C/a>\u003Cdiv class=\"text-muted small\">\u003Ctime data-year=\"numeric\" data-month=\"short\" data-day=\"numeric\" datetime=\"2026-03-19T00:00:00.000Z\" data-prehydrate-id=\":NIiDfe5__B:\">Mar 19, 2026\u003C/time>\u003C/div>\u003C/li>\u003Cli class=\"mb-3\">\u003Ca href=\"/blog/what-are-eml-files/\" class=\"text-decoration-none blog-sidebar-link\">What Are EML Files and How to Open Them\u003C/a>\u003Cdiv class=\"text-muted small\">\u003Ctime data-year=\"numeric\" data-month=\"short\" data-day=\"numeric\" datetime=\"2026-03-12T00:00:00.000Z\" data-prehydrate-id=\":NIiDfe5__B:\">Mar 12, 2026\u003C/time>\u003C/div>\u003C/li>\u003Cli class=\"mb-3\">\u003Ca href=\"/blog/email-sharing-best-practices-for-teams/\" class=\"text-decoration-none blog-sidebar-link\">Email Sharing Best Practices for Teams\u003C/a>\u003Cdiv class=\"text-muted small\">\u003Ctime data-year=\"numeric\" data-month=\"short\" data-day=\"numeric\" datetime=\"2026-03-05T00:00:00.000Z\" data-prehydrate-id=\":NIiDfe5__B:\">Mar 5, 2026\u003C/time>\u003C/div>\u003C/li>\u003C!--]-->\u003C/ul>\u003C/div>\u003C/div>\u003Cdiv class=\"card\">\u003Cdiv class=\"card-header fw-semibold\"> About EmailShot \u003C/div>\u003Cdiv class=\"card-body\">\u003Cp class=\"small text-muted mb-2\"> Share any email easily with a simple direct link in just one click. \u003C/p>\u003Ca href=\"https://workspace.google.com/marketplace/app/emailshot/392337853098\" target=\"_blank\" class=\"btn btn-primary btn-sm text-white\"> Install EmailShot \u003C/a>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/div>\u003C/article>\u003C!--]-->\u003C/main>\u003C/div>"]