Internal linking was never our priority. It was always the thing we'd push to the end of client deliverables. We'd publish a comprehensive guide, then three months later write a related case study and never link them together. This keeps the content isolated. The wake-up call came when we started auditing client visibility on ChatGPT and Perplexity. Competitors were getting cited while our clients weren't, even when our clients had objectively better content. We realized that pages weren't connected in any meaningful way, so AI platforms couldn't understand the depth of their expertise. We started using GIGA's internal linking feature. It analyzes the entire page, understands how pages relate semantically, and strategically inserts links that actually make sense. We ran it on 60 core pages in the first month. Within three weeks, we saw that Google bot activity began increasing, and brand mentions also increased in ChatGPT responses. Perplexity started citing them as a source. The crawlers and the AI platforms could finally follow the knowledge structure across the site because the links created clear pathways between related topics.

Our agency has a pretty distinct voice: conversational but not casual, informative but not academic. When we started testing AI writing tools last year, everything came out sounding generic and corporate. We’d get perfectly grammatical paragraphs that still said absolutely nothing in our voice. In the end, our content team was spending hours rewriting nearly everything, which completely defeated the purpose. What changed with Quattr was the ability to upload our actual brand documents. We fed it our brand voice guidelines, product information, style guide, and content guidelines. Once those were in place, the content Quattr’s AI generated finally sounded like us instead of a template. The bigger win, though, has been how GIGA handles content gaps. GIGA reviews competitor insights, identifies the gaps, and fills them in minutes while staying true to our brand voice. GIGA also adds contextually relevant internal links without stuffing them in. Before, we spent ages hunting for good linking opportunities, and half the time the links felt forced. Now they flow naturally because the AI understands the relationships between our pages.

We'd spend days doing competitor research, identifying content gaps, writing briefs for writers, waiting for drafts, and then manually adding internal links. By the time we published, the competitive landscape had shifted. Our team spent most of its time on research rather than on actual optimization. We started using GIGA Quattr's AI Agent, and it's completely changed how we work. GIGA does competitive content gap analysis in minutes. It pulls up what competitors are covering that we're missing, then generates those sections in our voice. No more manual research or writing briefs. The biggest surprise was the internal linking. GIGA doesn't just add random links. It understands semantic relationships across the site and inserts contextual links that actually make sense. We tested GIGA on one high-priority page first. The optimization took 5 minutes. We published it, and within two weeks, that page started ranking higher and getting cited on AI search surfaces. The workflow is now: identify priority pages, run GIGA, review the output, and publish. What used to take days now takes hours.