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SEO hidden secrets.

Hello everyone, not to boder anyone on here, but I wish to ask/ know. What would you say is that one seo hidden secret you’ve been keeping that has been working for you. Could be for on page/ off page.. Free will answers only. Appreciate it massively submitted by /u/only_1_pepsy [link] [comments] from Search Engine Optimization: The Latest SEO News https://ift.tt/vKjgx9l
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Best way to generate pSEO landing page templates for SaaS?

Last post people told me my pages weren't indexing because content was too thin - appreciated that. Now building landing pages for my SaaS targeting different keyword types - alternative pages (abc alternative), feature-based keywords, and problem-based keywords. Main thing I'm trying to figure out: how much copy can I duplicate across pages - 40%, 70%? Can sections like hero, CTA, and footer stay the same, or does every page need fully unique copy? And if I do use a template, which sections actually need to be different per keyword so Google doesn't treat it as duplicate content? Also wondering if a template approach even makes sense at scale or if building each page individually is the only way to avoid thin content issues again. submitted by /u/zerolunier [link] [comments] from Search Engine Optimization: The Latest SEO News https://ift.tt/B8AZXL2
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Google rewards consistent Business profile posts with higher rankings in local searches.

Google maps is one of the most important searches local business can rank for. Why? Because they have the most intent to buy. Customers see your profile posts before they see your reviews if you last post was in 2025 but your competitors are posting once a week who do think Customers are gonna choose? I built an ai tool that generates these posts for free. Specific to your location. Generate one for your business it takes 60 seconds submitted by /u/Remarkable-Delay-652 [link] [comments] from Search Engine Optimization: The Latest SEO News https://ift.tt/I81oE0t
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GEO benchmark: 1,400 prompts across ChatGPT, Perplexity, Claude, and Gemini for 50 B2B SaaS companies. Methodology and findings inside.

Been doing GEO work for a while now and kept running into the same problem: no actual data on how different AI platforms behave differently, or what separates companies that get recommended consistently from ones that don't. So we built it ourselves. 50 B2B SaaS companies, 7 buyer-intent prompts each, across 4 platforms. 1,400 prompts total. Scored each company on 4 things: how often they get mentioned, where they appear when they do, how AI describes them, and how consistent that is across platforms. Composite score out of 100. A few things worth sharing before I drop the full dataset. Platform behavior is genuinely different across models. Claude mentions 88% of the companies we tested. ChatGPT and Gemini both hit 100%. Perplexity sits at 90%. These are not interchangeable systems. A brand can be consistently recommended on ChatGPT and completely absent from Claude. If you are only checking one platform, you are missing a real gap. Optimizing for sentiment is proba...
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