AI search doesn't read your page like Google

It breaks your query into a dozen smaller ones first

Hi Iwan, When someone asks ChatGPT or Google's AI Overviews a question, the AI doesn't just search for that one phrase. It quietly breaks the question into several smaller searches, checks each one, then combines what it finds into one answer. Most content is written for the single phrase, not the dozen questions behind it. Here's how to write content that actually gets picked up: 1. Answer the follow-up questions before they're asked If someone asks "best running shoes for flat feet," the AI is also quietly checking things like price range, brand comparisons, and injury risk. List out every related question a reader would naturally have after your main topic. Answer each one directly in your content, even briefly, instead of assuming one angle covers it all. Use clear subheadings so each sub-answer is easy for AI tools to pull out on its own. 2. Cover the topic from multiple angles, not just one AI tools pull from several sources to build one answer, so a page covering only a single angle is easy to skip over. Include comparisons, pros and cons, and real numbers where they're relevant. Add a section addressing common objections or mistakes, not just the ideal scenario. Avoid pages that only sell. Include enough real information that the page earns its place in the answer. 3. Make each section stand on its own AI tools often pull a single paragraph or section out of context, not your whole page. Write each section so it makes sense even if someone only reads that one part. Keep the key point in the first sentence of each section, not buried at the end. Avoid vague pronouns like "this" or "that" without saying what they refer to. The pages winning in AI search aren't the most optimized for one keyword. They're the ones that already answer the questions AI is quietly asking on the reader's behalf. Click here to get a free audit of how your content performs in AI search. To your continued success, Matt Diggity

30 N Gould St, Ste #4000, Sheridan WY 82801 USA
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24 speakers running what they preach

CMSEO 2026's full program is live

Hey Iwan, CMSEO 2026 is two months out. The full program just went public: 24 sessions, November 9-13, and every single speaker is running the exact campaigns they're presenting. That's the only filter we use. Here's a taste of what's on the agenda: Tomek Rudzki (Peec AI) ran 300 experiments to reverse-engineer how ChatGPT, Gemini, and Claude choose their sources. He'll show you which search engine Claude actually retrieves from and which rerankers rank the results, so you can test your own pages against the same pipeline. His platform processes over a million AI conversations a day. Michal Suski brings Surfer's scrape data on what makes a page citeable. His latest numbers show high domain rating barely moves citation frequency. Self-promoting listicles make up 15 to 25% of everything AI cites. Emilio Takas ran 300 page-one results across 30 unrelated markets to find what consistently drives rankings. Brand size wasn't it. He'll give you a way to tell if a tactic is repeatable before you spend a dollar testing it. Will Tribe runs 2,000+ sites generating 5,000+ phone calls a month, all built with AI. He's breaking down how he tests a niche, builds fast, and scales what works. Alex Moss (Yoast) made two of his own sites agent-ready from the ground up, then planted false facts on one to see if AI assistants would swallow them and repeat them back. He's showing exactly what crawled, what read what, and what changed. Plamen Popov runs SEO and organic growth at Binance. His talk covers the internal AI setup behind it: specialized models handling research, drafting, technical QA, and citation scoring inside a live content pipeline. Regan McGregor runs a $100K eCommerce store entirely through Slack messages with an AI. He's giving away the workflows and the prompts. Thomas Smale founded FE International and has sold over 1,500 online businesses. He's covering what AI is doing to multiples, and what actually makes an SEO business sellable. Also on the program: Kyle Roof on what 400+ split tests actually show, Charles Floate on which black hat tactics quietly died and which evolved into what's working now, Kasra Dash on entity SEO and LLM visibility, and Jacob Kettner on holding margins while an agency scales. Click here to see the full agenda. Then there's the room. 100+ community events running across the week, organized by attendees, not by us. Tickets stay refundable until October 9, so booking now costs you nothing if your plans change. Secure your spot << See you in Chiang Mai. To your continued success, Matt Diggity

30 N Gould St, Ste #4000, Sheridan WY 82801 USA
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For the biohackers…

New video on the new channel…

Hey Iwan, Heart rate variability (HRV) is an indicator of how your body responds to stress. And ten weeks ago, mine was hot garbage. Then I found one book, ran the protocol Tim Ferriss talks about on his podcast, and doubled it in ten weeks with nothing more than breathing, twice a day. But raising a number wasn’t even the upside. I feel like I’m running a whole new operating system in my body. New video breaks down the whole experiment: The habit Tim Ferriss calls "the API to your nervous system" How I finally solved my sleep Why doubling the number was never the real win Watch it here << To your continued success, Matt Diggity

30 N Gould St, Ste #4000, Sheridan WY 82801 USA
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How ChatGPT quietly filters out spam...

New research just cracked the method behind it

Hi Iwan, Fresh research just revealed how ChatGPT actually filters spam from its answers, using a method most marketers haven't caught on to yet. It changes how you should think about earning AI visibility altogether. Meanwhile, one business lost over 3,000 reviews in 24 hours, and Google's own automated systems appear to be the culprit. This month's Diggity Marketing News Roundup breaks it all down, plus: Why Google may be deleting your legitimate reviews How to build an AEO foundation for your brand in under 20 minutes Fresh data on how many clicks AI search features are actually sending to sites ...and plenty more worth your time this month. Read the full roundup here: https://diggitymarketing.com/news-roundup-aug-2026/ Don't miss out on this one. To your continued success, Matt Diggity

30 N Gould St, Ste #4000, Sheridan WY 82801 USA
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Unlinked mentions matter more than you think

No backlink required. Here's why they still count.

Hi Iwan, For years, an unlinked brand mention was considered a wasted opportunity; something to chase down and turn into a real backlink. That advice is now outdated. Unlinked mentions carry real weight on their own, especially for AI search visibility. Here's why they matter and how to build more of them: 1. Google tracks brand mentions independent of links Google's algorithm has long used entity recognition to associate your brand with topics, even without a hyperlink attached. A mention on a reputable site signals topical association the same way a citation would in academic research. Volume and consistency of mentions across relevant sites build entity authority over time. This matters most in competitive niches where backlinks alone can't fully differentiate you from competitors. 2. AI tools weigh mentions even more heavily than Google does LLMs build a picture of your brand from everywhere you're mentioned across the web, not just from pages linking to you. ChatGPT, Perplexity, and Claude pull context from forums, articles, and reviews that reference your brand by name, link or no link. A brand mentioned frequently across credible sources gets recommended more often, independent of your own site's SEO. This is why some smaller brands with strong PR presence outperform larger competitors in AI-generated answers. 3. Track your mentions the same way you track backlinks Most sites monitor link building closely and ignore mention tracking entirely. Set up brand mention alerts using a tool like Google Alerts, Mention, or Ahrefs' Content Explorer with unlinked mention filters. Review new mentions monthly and identify patterns in where they're coming from. Flag high-authority mentions specifically. These carry more weight than mentions on low-quality sites. 4. Build mentions deliberately, not just links Digital PR and guest content campaigns often chase links first and treat mentions as a byproduct. Pitch stories and data to journalists where a mention, not necessarily a link, is the realistic outcome. Get quoted in roundup articles and expert commentary pieces, even when no link is offered. Prioritize outlets your target audience actually reads over outlets that only offer strong domain authority. Backlinks aren't going away. But if your entire authority strategy depends on getting linked, you're missing half the picture AI tools are actually using to evaluate you. Click here to get a free audit of your brand's mention footprint: https://thesearchinitiative.com/?utm_source=newsletter&utm_medium=email&utm_campaign=tsi-unlinked-mentions-2026 To your continued success, Matt Diggity

30 N Gould St, Ste #4000, Sheridan WY 82801 USA
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AI agents found $19k/mo in my SEO data...

Hey Iwan, I've spent years staring at Google Search Console convinced there was untapped revenue hiding in the data. I just never had the time to dig deep enough. So I built a team of AI agents to do it for me. The result? They flagged 28 pages on a client's site, and the fixes added $19,200 in monthly organic revenue. In my latest video, I walk you through the full system: 👉 The "Click Gap" agent that scans GSC for pages ranking on page 1 but bleeding clicks (and writes a new title and meta for every one of them) 👉 The "Decay Detector" agent that catches pages dying before you ever see it in your analytics (it picks up a signal most SEOs completely miss) 👉 The "Depth Scanner" agent that finds your thin pages and tells your team exactly what to add to outrank competitors Watch the full breakdown here << To your continued success, Matt Diggity

30 N Gould St, Ste #4000, Sheridan WY 82801 USA
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