“Improve your content” is a vague brief. Lumar GEO Studio evaluates individual sections for clarity, accuracy and specificity, then recommends changes. It also flags gaps in topic coverage. See the page analysis: geo.lumar.io/how-it-works

You can track Google rankings and still have no idea what ChatGPT says about your brand. Lumar GEO Studio adds AI answer tracking: brand mentions, cited pages and competitor comparisons. See how it works: geo.lumar.io/how-it-works

An AI answer can recommend your product, mention it as an alternative, or raise a concern. Lumar GEO Studio evaluates how your brand is described, including its role, prominence and sentiment. See what AI is saying about you: geo.lumar.io/

When a buyer asks ChatGPT for a product like yours, does your brand make the shortlist? Lumar GEO Studio shows the answer, the brands mentioned and the sources cited. Check your brand with a free ChatGPT scan: geo.lumar.io/

Agree, and I'd go further. Search volume and keyword difficulty were always estimates of demand. You can observe demand instead. I've automated a system for this, inspired by some of @aleyda's research: - Start from the buyer's decisions, not keywords. What does someone have to decide before they buy in this category? - Ask those questions where people now ask them: Google and AI answers. Record who gets shown and which pages get cited. - The opportunities are where competitors win on independent sites (reviews, comparisons, roundups) and you're absent. - Each one becomes a single action with a question to re-run, so you can see whether you moved. No volume estimates anywhere. Happy to show it to you, and I'd value your feedback to improve it.

Can AI trust what it reads about you? We judge your pages like an editor: section by section, against the questions people ask and the pages that compete. Then we read what the rest of the web says, and check every quote. Here's the method, one agent at a time 🧵

Your schema says InStock. Your page says Sold out. Google checks for exactly this. Now Lumar does too, on every page of every crawl: price, stock, authors, event dates, phone numbers. Your markup against your page. agentic-readiness.lumar.io/m…

Schema markup is where classical SEO meets GEO. Don't gamble on choosing the wrong entity. We can automatically identify the right schema type, accurately and at the scale of millions of pages. Full stop. agentic-readiness.lumar.io/m…

Adding a half-baked llms.txt on top of a 10-year-old broken sitemap.xml won’t buy you visibility. Be better. agentic-readiness.lumar.io/b…

Are you on LSD, or is the AI hallucinating? Is GEO even real? agentic-readiness.lumar.io/b…

Schema.org has 800+ types. Picking the right one for a web page shouldn't require a PhD in ontologies. So we built something. Lumar now reads a page, understands its content and business context, and automatically identifies the most appropriate schema.org type for its main entity. No keyword matching. No guesswork. Just context. Got a website with tricky content? Throw it at us. 😈 lumar.io/request-demo/

There’s a lot of agentic madness right now. So we’re making this free. Scan your site. Learn the protocols. Build them correctly. Validate your implementation. Find the security risks. And our promise: we’ll keep up with the specs, adoption and the evolving threat landscape. No account. No key. No paywall. agentic-readiness.lumar.io/

🎉 We’re thrilled to announce new accessibility metrics and website accessibility health scores in the Lumar platform! These new metrics will help businesses create more inclusive website experiences for users with disabilities by uncovering sitewide accessibility issues. 🧵

Leadership perspective on Website health benchmarks with @CraigADunham, CEO of Lumar.

How to prepare for the expanding scope of site optimization: a keynote by @makeitmorehuman and Matt Ford at @smx by @sejournal 🗓️ Wednesday 16th November Save your seat: marketinglandevents.com/smx/…