A growing share of buying research now starts with "ChatGPT, what's the best [X] for [Y]" instead of a Google search β and if your brand isn't part of what these models know and trust, you simply don't exist in that conversation. DigiHibe's LLM SEO service optimizes the digital footprint large language models actually draw on: authoritative third-party mentions, structured brand information, and the community discussions models are trained on and retrieve from.
This is meaningfully different from ranking on Google β LLMs don't just crawl your site, they synthesize an opinion from everything said about you across the web, including Reddit, review sites, and industry publications. We build a strategy for all of it, not just your own domain.
Structured, consistent brand information across the web that helps LLMs understand exactly who you are.
FAQ-rich, clearly-answered content that gives models something concrete and citable about your brand.
Digital PR and outreach to get your brand mentioned on the authoritative sites LLMs draw from.
Reddit, Quora and niche forum strategy, since LLMs weight genuine community discussion heavily.
Technical setup (including llms.txt and crawlability checks) so AI models can actually access and parse your content.
Ongoing tracking of how often and how favorably your brand is mentioned across major LLMs.
We treat LLM visibility as a share-of-voice problem, not a rankings problem. Since models synthesize opinions from everything published about your brand, our strategy spans your own site, third-party press, review platforms and community discussion β because that's genuinely everything feeding the model's answer, not just what's in your control on-domain.
They draw on patterns learned from training data and, increasingly, real-time retrieval from the web β weighting factors like how consistently and authoritatively a brand is described across multiple independent sources, not just what a brand says about itself.
No β model outputs aren't controllable the way a paid ad placement is. What we can do is systematically improve the breadth and quality of authoritative information about your brand available across the web, which meaningfully raises the odds over time.
They're closely related β GEO focuses on being cited inside AI-powered search results (Google AI Overviews, Perplexity), while LLM SEO focuses more broadly on how conversational AI assistants describe and recommend your brand, including from training data, not just live search retrieval.
We track brand mention frequency and sentiment across major LLMs for a set of representative prompts relevant to your category, alongside growth in the third-party citations and community mentions that feed those models.
Get a free, no-obligation proposal built around your specific goals and budget.