Have AI assistants cite your brand when answering questions from your industry

GEO (Generative Engine Optimization) works to get your brand cited as a source in responses from AI assistants. Classic SEO looks for visibility in Google search results (blue links, snippets). They share signals of authority and utility, but GEO operates on a probabilistic system with no fixed positions and less transparency. We work on them as complementary disciplines.

No. Generative models are probabilistic and change with each update. They do not offer fixed positions or guaranteed citations. What we do is build the conditions that maximize probability: useful content, recognizable brand, consistent data, demonstrated authority, and understandable format for models. Any vendor that guarantees subpoenas is not transparent about how these systems work.

With citations observed in responses from main attendees (ChatGPT, Gemini, Copilot, Perplexity), referral traffic when the platform exposes it, evolution of brand signals (Knowledge Graph, mentions), comparison with cited competitors and consistency with SEO metrics. There is no comprehensive official console, so the measurement combines periodic monitoring and indirect signals.

It helps, but it is not an absolute requirement. Many GEO signals (authority, useful content, entities, structured data) improve SEO as well. If your website has serious crawling or indexing issues, it's a good idea to prioritize them because they limit both disciplines. We can start with shared improvements and then specialize the GEO execution.

There is no complete official documentation, but the observed evidence suggests: authority and reputation of the source, consistency of information with other data in the model, structured data, clarity and format of the content, external mentions and quality links, recency and specificity of the response. We optimize for all these vectors without depending on a single factor.

Models update their fonts with variable and opaque frequency. Some improvements in entity or structured data are reflected in weeks; Building thematic authority can take months. We define early indicators (improvement of signals, coherence of entity, first citations) without promising fixed deadlines for specific appearances.

It works best when the user asks specific questions to attendees and the company has content or expertise that can be sourced. B2B sectors with informed decisions, professional services, technology, and healthcare often have a high volume of attendee inquiries. We evaluate feasibility and volume before proposing scope.

Yes, it can happen (hallucinations). Part of GEO's job is to build consistent, verifiable sources that reduce that risk. We did not eliminate it because we did not control the model, but we improved the conditions for the information cited to be accurate. We also monitor responses to detect errors and act on correctable sources.

Both. First we optimize what exists (format, structured data, entities, clarity). Then we identify gaps: questions your audience asks attendees that your current content doesn't answer well. Creation is prioritized by impact and feasibility, not volume. We don't publish filler content.

We share core signals (authority, architecture, linking), but differentiate metrics and execution. Technical SEO measures visibility in SERP (Search Console, clicks, impressions); GEO measures citations in attendees and entity signals. We coordinate so that the actions of one do not harm the other and to take advantage of synergies (e.g., a structured data useful for both).