GEO and AIVO strategies that ensure your brand gets cited, quoted, and recommended when ChatGPT, Perplexity, Gemini, and Google AI Overviews answer questions in your category.
Get StartedA new buying journey is forming around AI search engines — and most B2B brands are invisible in it. When a VP of Engineering asks ChatGPT to recommend a SIEM platform, or a CFO asks Perplexity which expense management tools integrate with NetSuite, the AI either cites your competitor or fabricates something about you entirely. Traditional SEO doesn’t address this. Your Google rankings are irrelevant if the LLM never retrieves your content.
The problem compounds because AI models learn from each other’s outputs. A hallucinated claim in one model becomes training data for the next. Every week you ignore AI visibility, incorrect associations about your brand harden into the knowledge layer that powers every major AI assistant.
Generative Engine Optimization (GEO) and AI Visibility Optimization (AIVO) are the emerging disciplines built to solve this. They require a fundamentally different approach to content architecture, structured data, entity definition, and citation strategy — one that most marketing teams haven’t built yet.
We query every major AI engine with the questions your buyers actually ask. We map where you appear, where competitors appear instead, what’s being hallucinated about your brand, and where your content fails to get retrieved.
We build a structured plan to establish your brand as a citable entity across AI training and retrieval sources. This includes schema markup, authoritative third-party mentions, Wikipedia and Wikidata presence, and content reformatting for LLM consumption.
We restructure your highest-value content pages so they’re optimized for retrieval-augmented generation (RAG). Clear entity definitions, comparison-ready formatting, factual density, and source attribution that AI engines prefer to cite.
AI outputs change constantly. We run continuous monitoring across ChatGPT, Perplexity, Gemini, and Google AI Overviews, flagging new hallucinations, tracking citation share changes, and iterating on your optimization strategy.
A cybersecurity vendor discovered that ChatGPT recommended three competitors by name for their core category — but never mentioned them. Within 90 days of implementing our citation strategy, they appeared in AI responses for 60% of tracked queries.
A fintech platform found that Perplexity was attributing a competitor’s pricing model to their brand. We identified the source content causing the confusion, corrected it, and established authoritative counter-signals that eliminated the hallucination within six weeks.
A healthtech SaaS company was ranking #1 organically but invisible in Google’s AI Overview for the same query. We restructured their content for AI extraction, achieving AI Overview citation for 12 of their top 20 commercial keywords.
A martech startup had created a new product category that AI engines didn’t recognize. We engineered entity definitions, third-party references, and structured data that taught AI models to associate their brand with the category they pioneered.
Average increase in AI citation share within 90 days
Reduction in brand hallucinations across major AI engines
Increase in inbound demo requests from AI-referred traffic
Traditional SEO optimizes for ranked blue links on a search results page. AI Visibility Optimization (AIVO) ensures your brand is cited, quoted, or recommended when an AI engine generates an answer. The ranking factors are different — AI engines prioritize entity authority, factual density, structured data, and third-party corroboration over backlinks and keyword density.
We monitor and optimize across ChatGPT (GPT-4 and later models), Perplexity, Google Gemini, Google AI Overviews, Claude, and Bing Copilot. Each has different retrieval mechanisms, so strategies are tailored per engine.
For AI engines that use real-time web retrieval (Perplexity, Google AI Overviews), changes can appear within days of implementation. For models that rely on training data (ChatGPT, Gemini), sustained content changes typically shift outputs within 60–90 days. We prioritize retrieval-based engines for fast wins.
Yes. Hallucination remediation is a core part of the service. We trace the root cause of the hallucination — usually a confusing or contradictory content source — and implement corrections through authoritative content updates, structured data, and third-party citation building.
Usually, yes — but surgically. We don’t rewrite your entire site. We restructure the 15–30 highest-value pages for AI retrievability: adding entity definitions, comparison tables, structured Q&A, and clear factual claims that AI engines can extract and cite.
We track citation share (how often your brand appears vs. competitors for a set of tracked queries), hallucination rate, sentiment accuracy, and position within AI-generated responses. You get a monthly dashboard showing trends across all monitored engines.
Tell us about your brand and we'll show you where you stand.
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