Adapting FAQ Content for AI Language Models

If you write content, then you have to pay attention. Linkedin has just published the do’s and don’ts for staying visible. In the future, content that does not show up inside AI-generated answers will effectively not exist. Here is my summary of the Linkedin guide: 𝟭. 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗺𝘂𝘀𝘁 𝘀𝗲𝗿𝘃𝗲 𝘁𝘄𝗼 𝗮𝘂𝗱𝗶𝗲𝗻𝗰𝗲𝘀 𝗮𝘁 𝗼𝗻𝗰𝗲: human readers and AI models. Plain, accessible language, a neutral authoritative tone, and sections that make sense on their own increase the chance content is trusted, quotable, and surfaced in AI-generated answers. 𝟮. 𝗖𝗹𝗲𝗮𝗿, 𝘄𝗲𝗹𝗹-𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝘀𝗲𝗻𝘁𝗲𝗻𝗰𝗲𝘀 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: use complete declarative statements, keep sentences under 20 words, add inline context, and use factual language over metaphors so both humans and models understand meaning quickly. 𝟯. 𝗟𝗟𝗠 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗰𝗮𝗻𝗻𝗼𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗦𝗘𝗢 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀: structure, depth, site performance, and technical foundations still determine visibility. 𝟰. 𝗛𝗲𝗮𝗱𝗶𝗻𝗴𝘀 𝗻𝗼𝘄 𝗮𝗰𝘁 𝗮𝘀 𝗮 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝗔𝗜: use descriptive main titles that state a full idea, break pages into question-driven subheadings, avoid vague labels, and maintain a logical broad-to-specific flow. 𝟱. 𝗟𝗲𝗮𝗱 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿: start major sections with a short, definitive answer (30–80 words), then expand with detail - don’t bury the main point in explanation. 𝟲. 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗹𝗶𝗻𝗸𝘀 𝘁𝗲𝗮𝗰𝗵 𝗔𝗜 𝗵𝗼𝘄 𝘁𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁: use descriptive link text, connect related themes, organize content around central pages with supporting articles, and avoid overwhelming pages with excessive links. 𝟳. 𝗠𝗮𝗸𝗲 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗲𝗮𝘀𝗶𝗲𝗿 𝗳𝗼𝗿 𝗔𝗜 𝘁𝗼 𝗲𝘅𝘁𝗿𝗮𝗰𝘁: clearly define key terms, use lists and numbered steps, add real FAQ sections, and clearly show that the page is regularly updated with visible “last updated” dates. 𝟴. 𝗦𝗽𝗲𝗮𝗸 𝘁𝗵𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗼𝗳 𝗔𝗜: use schema markup (machine-readable labels added to pages) to describe what the content is about, who published it, and what is being offered so models understand context, trust the source, and surface accurate answers. 𝟵. 𝗦𝗲𝗻𝗱 𝗰𝗹𝗲𝗮𝗿 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗮𝗹 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 𝘁𝗼 𝗔𝗜: use clean, accessible page structure and semantic markup (HTML tags that label page sections) along with natural-language titles, descriptions, and URLs so models can correctly interpret meaning and match content to real user questions. 𝟭𝟬. 𝗩𝗶𝘀𝘂𝗮𝗹𝘀 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗔𝗜 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: images and videos need captions, descriptive alt text (text descriptions for images), clear filenames, optimized metadata, and transcripts so AI can understand what they show and when to surface them. Source: How to optimize your owned content for AI search – Linkedin 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐧𝐞𝐰𝐬𝐥𝐞𝐭𝐭𝐞𝐫: https://lnkd.in/dkqhnxdg

Two weeks ago I said AI Agents are handling 95% of our sales and support and I replaced $300k of salaries with a $99/mo Delphi clone. 25+ founders DM’d me… “HOW?” Here’s the 6 things you MUST do if you want to run your entire customer-facing business with AI: 1. Create a truly excellent knowledge base. Your AI is only as good as the content you feed it. If you’re starting from zero, aim for one post per day. Answer a support question by writing a post, reply with the post. After 6mo you have 180 posts. 2. Have Robb’s CustomGPT edit the posts to be consumed by AI. Robb created a GPT (link below) that tweaks posts according to Intercom’s guidance for creating content for Fin. The content is still legible to humans, but optimized for AI. 3. Eliminate recursive loops - because pissed off customers won’t buy If your AI can’t answer a question but sends the customer to an email address which is answered by the same AI, you are in trouble. Fin’s guidance feature can set up rules to escalate appropriately, eliminate loops, and keep customers happy. 4. Look at every single question every single day (yes, EVERY DAY). Every morning Robb looks at every Fin response and I look at every Delphi response. If they aren’t as good as they could possibly be, we either revise the response, or Robb creates a support doc to properly handle the question. 5. Make sure you have FAQs, Troubleshooting, and Changelogs. FAQs are an AI’s dream. Bonus points if you create FAQ’s written exactly how your customers ask the question. We have a main FAQ, and FAQs for each sub section of our support docs. Detailed troubleshooting gives the AI the ability to handle technical questions. Fin can solve 95% of script install issues because of our Troubleshooting section. Changelogs allow the AI to stay on top of what’s changed in the app to give context to questins about features and UI as it changes. 6. Measure your AI’s performance and keep it improving. When we started using Fin over 1y ago, we were at 25% positive resolutions. Now we’re above 70%. You can actively monitor positive resolutions, sentiment, and CSAT to make sure your AI keeps improving and delivering your customers an increasingly positive experience. TAKEAWAY: Every Founder wants to replace entire teams with AI. But nobody wants to do the actual work to make it happen. Everybody expects to flip a switch and have perfect customer service. The reality? You need to treat your AI like your best employee. Train it daily. Give it the resources it needs. Hold it accountable for results. Here’s the truth that the LinkedIn clickbait won't tell you… The KEY to successfully running entire business units with AI? Your AI is only as good as the content you feed it. P.S. Want Robb's CustomGPT? We just launched 6-part video series on how RB2B trained its agents well enough to disappear for a week and let AI run the entire business. Access it + get all our AI tools: https://www.rb2b.com/ai

A few months ago, I thought I was crushing SEO content. Then I realized my blogs weren't showing up in ChatGPT. Or Google AI Overviews. And that's where people are searching now. So I rewrote my entire process. Now my blogs show up in AI search results AND rank better on Google. Here's what changed. Before: I wrote for keywords and backlinks. It ranked okay. But it didn't answer questions fast enough. When AI search took off? It got buried. After: I started writing like AI is my reader. Now my posts appear in ChatGPT. Google AI Overviews. Perplexity. And they convert better too. Because clarity helps humans just as much as it helps AI. Here are the 3 changes: 1. Answer-first structure No fluff. The answer goes in the first sentence. AI doesn't scroll. If the answer isn't upfront, it moves on. 2. AI-friendly formatting Bullets. FAQs with 3+ questions. Short paragraphs. AI pulls from structured content. 3. Original proof Real data. Case studies. Examples. AI prioritizes content that adds something new. I rewrote a client's blog using this. Old: 2,400 words. Page 2. Zero AI presence. New: 1,800 words. Answer-first. FAQ section. Result: Page 1. In ChatGPT. Featured in Perplexity. Same topic. Different structure. If your content isn't showing up in AI search, it's not your topic. It's your format. Which of these would you start with? Or should I break down how to build an FAQ section AI actually pulls from? #SEO #AISearch #ContentMarketing #DigitalMarketing

Our client's FAQs get cited by AI models consistently. Search engines and LLMs don't just crawl words. They need to understand relationships. Traditional SEO focused on earning backlinks from other sites. Get mentioned, get linked, improve rankings. The more sites pointing to you, the better. But AI models work a bit differently when they cite sources. AI models do the following: - Look for schema markup that clearly labels FAQs and reviews. - Need consistent product naming across your site. - Want clean internal structure and logical linking. - Require important data in crawlable HTML format. This puts more of a focus on earning model-visible citations. Which prioritizes structural clarity and internal consistency. For example: - Schema markup helps models recognize and reuse your content. - Clean taxonomies help them understand your relationships. - HTML-first structure makes your data indexable and citable. Take the fintech industry for example, where trust signals matter, this structural approach becomes critical. The companies getting cited by AI make their expertise clearly understandable to both search engines and LLMs.

Start Here: Update Your FAQs for SEO + AI Search If you haven’t looked at your FAQ section lately — or don’t even have one — this is your sign to fix that this week. Why? Because FAQs are one of the fastest, easiest ways to help both Google and AI tools (like ChatGPT and Perplexity) actually understand what you do — and recommend you more often. They: - Give Google context. Every question helps it connect your content to real searches your clients are making. - Earn you visibility in “People Also Ask.” These are prime, high-trust spots — and FAQs make it easy to get there. - Feed AI tools clear info about your brand. ChatGPT, Gemini, and Perplexity pull from FAQ-style content when surfacing business recommendations. Build instant trust. When your answers mirror what people are actually asking, you sound like the expert (because you are). 🗓️Put it on your calendar that your FAQs will be updated by FRIDAY -Collect Real Questions. - Pull from emails, DMs, or client calls. Use their exact phrasing — that’s SEO gold. -Write Simple, Clear Answers. - Pretend you’re explaining it to a friend, not writing a textbook. - Work in Natural Keywords. ➡️ Example: If you’re a medspa, answer “How often should I get Botox?” and mention “our medspa in [city]” naturally. ➡️ Add Schema Markup. This is what helps your FAQs show up inside search results. Ask your web person or SEO to do this — it takes minutes. ➡️ Schedule a Monthly FAQ Review. Anytime you hear a new client question more than once, add it to your site. Pro Tip: Let AI Help You Brainstorm Type this into ChatGPT or Google’s “People Also Ask”: “What questions do people ask before hiring a [your service] in [your city]?” You’ll get real data-backed ideas in seconds — and half your FAQ list will write itself. If you’re not sure where to start, my AI + SEO Audit can show you exactly which FAQs your audience (and AI) are looking for right now.