Rank #1 in the Future of SearchOwn the AI Answer.

Most search queries now result in a direct, AI-generated summary or answer. If an LLM doesn't cite your brand as the source of truth, the user may never see your website. You become invisible in the modern knowledge landscape. LLMRankr ensures you exist where the customer decision is now being made.

No. Prompt engineering is how a user asks a question. LLM Optimization (LLMO) is how your content is structured and integrated into the underlying data sources so that the AI chooses to cite your brand, regardless of how the user phrases the prompt. We work on the supply side (your data), not the demand side (the user's query).

The initial Source Mapping & Audit typically takes 4-6 weeks. Clients usually begin to see a measurable increase in Brand Citation Rate within three to five months as we execute the Content Refinement & Structuring phase. LLMO is a long-term strategy, not a quick fix.

We don't have special access to their core algorithms. Instead, we are experts in analyzing the publicly known and inferred data inputs and knowledge sources these LLMs rely on (e.g., specific web properties, proprietary datasets, major Knowledge Graphs). We optimize your content to be the most probable answer source based on their known training and retrieval methods.

Our Source Mapping analyzes all accessible data inputs. For proprietary data models, we focus heavily on influencing the most critical Knowledge Graph integrations and high-authority web sources that often act as fact-checkers and primary context providers for those models.

We track proprietary metrics that matter: Brand Mention Rate (how often your brand is cited in high-intent queries), Citation Frequency, Sentiment Score in AI Answers, and Factuality Compliance. These metrics prove that your brand is gaining mindshare and visibility in the AI results.

We cannot guarantee 100% prevention, but our Safety & Factuality Guardrails significantly reduce the risk. By strengthening your presence in high-authority Knowledge Graphs and ensuring your data is structured for AI retrieval, we provide the LLM with a definitive, verified, and positive source of truth, crowding out incorrect or negative information.

Our process is about clarity and verifiable factuality. We ensure your accurate and valuable content is structured in a way that AI models can efficiently and correctly retrieve it, serving the user better. We are not injecting false data; we are optimizing true data to be prioritized and cited responsibly.