inLinks

InLinks helps brands build the kind of topical authority AI models can actually understand. Not just isolated pages. Not just keyword optimisation. But deep, connected topic clusters supported by internal links, semantic content, and structured schema. With InLinks, you can map your topical gaps, strengthen weak associations, and make your brand easier for LLMs to connect with the topics that matter in your market. https://lnkd.in/eqz7Jrfw

We’re delighted to announce that InLinks & Waikay will be joining Web Summit Vancouver as one of the event’s featured startups 👍 Our US ambassador Grant Simmons (SEO) will be present at the event, so feel free to connect with him if you’re attending and want to discuss AI visibility, brand presence in LLMs, and the future of search. And for our network: you can get 20% off General Attendee tickets with our referral link: https://lnkd.in/eck7xTJy Or use code INLINKSTAWAIKAY at checkout. See you at Web Summit Vancouver! WebSummit LLC

Is your website too broad for Google to trust? After the Helpful Content Update, site focus matters more than ever. Websites that stay tightly aligned around a core topic are easier for Google to understand, trust, and rank. If your content feels scattered, your SEO performance may suffer. https://lnkd.in/eXecdtjb

A major accounting software brand increased its AI visibility by 650% without publishing a single new page. Just restructured internal links. That's the kind of insight I sat down for this week. 🎙️ Genie Jones works at Waikay — spending her days inside the tools that track how brands are actually represented inside ChatGPT, Claude, Gemini, and Perplexity. She's also just published original research covering 19,000 structural gaps across 5,000 websites. We got into: → Why 57% of all SEO gaps across 5,000 sites fall into just three categories — and what they are → How inLinks went from 6th to 1st in AI recommendations in 8 weeks with a content structure change → Why most AI "Share of Voice" tools are measuring the wrong thing entirely — and what a broken denominator actually costs you → What AI hallucinations look like in practice — and why brands need to be monitoring them, not just tracking visibility → Why your position in a single AI response is basically noise (the same prompt run 2,961 times produced the same ordered brand list less than 1 in 1,000 times) One of the most technically grounded conversations. Episode dropping soon. 👇 🎧 Spotify: https://lnkd.in/dHiyrMcf ▶️ YouTube: https://lnkd.in/dMFZjjxj #SEO #GEO #AISearch #KnowledgeGraph #AIVisibility #DigitalMarketing #TheGEOBlueprint

It's Monday, it's time for a new episode of The #Search Session by Advanced Web Ranking. Today's episode is one that I really like a lot myself. Obviously not because of my chit-chatting, but the insights, ideas, thoughts a person like Dixon Jones shared during the conversation. Dixon and I talked about: - Semantic context and topical relevance in SEO - A business’s entity “DNA” - Schema and internal linking - Schema as a shared entity language - AI visibility and brand understanding - Using AI visibility data strategically - The missing hub problem - Building credibility before tools Enjoy: https://lnkd.in/eXZqrkSK

AI visibility isn’t about keywords anymore...it’s about entities. InLinks helps structure your content around the concepts LLMs actually understand, that’s how we moved from #5 to #1 in AI answers for “best entity SEO tools” in just 8 weeks https://lnkd.in/eDciGP5J

🔥 InLinks Black Friday Deal 🔥 We’re bringing back one of our most popular deals: Purchase one level, and get another level for FREE for life 👍 All details on https://lnkd.in/e96Hkbk8

It appears that despite advancements, bloated content continues to dominate Google Search Results, raising questions about the effectiveness of Google's NLP API in identifying entities accurately. InLinks conducted an analysis on the top 10 Google results in the US Market for the term "AI Search Optimization." A comparison was made between the Named Entities recognized by Google's NLP API and InLinks' proprietary routines, revealing discrepancies in Google's machine learning within the Software sector. The study unveiled that only 10.1% of entities in the Software sector SERPS were correctly identified by Google. Surprisingly, the average page length of these top ten results stood at 3,086 words. This contradicts the industry narrative that Google can extract meaning from concise content, prompting a call for Google to substantiate claims that content length does not impact ranking significantly. The data challenges the notion that shorter content suffices for ranking, highlighting a discrepancy between industry rhetoric and observed practices. This raises pertinent questions about the criteria influencing search result rankings and the role of content length in Google's algorithm. Link to the report in the comments.

Thank you Digital Expert Online for including InLinks as one of the best internal linking tools in 2025 👍