AI Writing Guide: Blog Posts, SEO Content & Copywriting

This guide covers OpenAI's official ChatGPT for Word add-in, including setup, sample prompts for proofreading and summaries, and free limits plus paid usage. It explains how the usage allowance is shared with Codex, how chat history and memory differ, and when to choose it over Copilot. It also covers organizational permissions, handling confidential information, and checking edits before you finish a document in Word.

When Claude Cowork was folded into chat on September 16, 2026, three creation features arrived in beta at the same time: Claude Docs for documents, Claude Slides for presentations and Claude Design for visual design. This article is about the first of them. In one sentence, Claude Docs turns what comes out of a conversation into a document you can keep editing. Ask it to write the discussion up as a spec the team can share, and Claude drafts it in front of you, asking about anything it is missing before it starts. What you get is rich text with headings and tables, and a single document can hold several tabs. You can edit it yourself, or select text inside the document, leave a comment and mention @Claude to have it make the change. The strength people overlook is that you can also turn a Claude Code session into a spec, a runbook or a report. It came out of beta on October 8, 2026 and is now on every plan, including Free, but some things are still missing: deletion cannot be undone, there is no comment-only permission, and Team and Enterprise cannot share outside the organization. This article gives those absences as much space as the features, and works out what the tool is good for and what it is not.

AEO, LLMO and GEO all describe getting your page used in AI answers; what differs is the focus. AEO targets search that returns answers, LLMO targets AI in general such as ChatGPT and Claude, and GEO is the term a 2023 paper coined. The difference shows up most concretely in the crawlers: we map each company's robots onto two axes, search answers versus conversational answers and training versus answer-time search, and point you to the right article for your goal.

AEO (Answer Engine Optimization) means being chosen as the source of answers in search that returns answers directly, such as featured snippets, AI Overviews, ChatGPT search and Perplexity. In its 2026 guide Google wrote that AEO and GEO are still SEO, confirmed the end of FAQ structured data, and listed chunking and llms.txt as unnecessary. We cover the rules for five answer surfaces, a verdict table for common tactics, and the metrics you can get officially.

Google has never said it demotes content for being AI-generated; what its spam policies prohibit is mass-producing low-value pages, however they are made. That is why hybrid writing — AI drafts, expert edits, first-party data added — works. This article covers the three-model split (Claude for long-form voice, ChatGPT for research and tools, Gemini for Workspace and current data), prompts that actually work (persona + sample + constraints, with sample-pasting being the most powerful), the four steps a human adds in a hybrid workflow, five common "tells" that reveal AI writing and how to kill them, a six-step hands-on workflow, and three pitfalls to avoid (letting AI pick the topic, ignoring hallucinations, failing to kill the good-student tone). The framing has shifted from "AI to take it easy" to "AI as a foundation that raises quality."

The only requirement for appearing in Google AI Overviews and AI Mode is that a page is indexed and eligible to be shown with a snippet, and Google states that llms.txt and special structured data are not needed. We cover the Search Console opt-out control and the Generative AI performance report rolled out worldwide on August 31, 2026, how the four controls differ in scope, and the Google, Pew and Seer numbers on whether traffic fell, each labeled with who measured what.

If robots.txt tells crawlers what they may and may not crawl, llms.txt tells AI what your site covers and where the details live. There is no evidence that it gets you cited in AI search, though: in this site's own access logs, no AI crawler fetched it once in three and a half days. This guide covers the v2 format, what to include, static vs dynamic generation, implementation in major frameworks, and how to tell whether your site is worth adding one to.

LLMO (Large Language Model Optimization) means preparing your site so that ChatGPT, Claude, Perplexity and Gemini read your pages and show them as sources when they answer. AI uses pages through two routes, training and search at answer time, and each company splits them into separate robots. We cover the official roles of the OpenAI, Anthropic, Perplexity and Google crawlers and what happens if you block them, the writing that worked in the GEO paper, and a measurement from this site's own access logs.