Enterprise buyers now rely on generative engines to evaluate vendors. If your brand is not cited in those responses, you are not considered. Traditional SEO does not solve this problem — AI systems reward entity clarity, structured content, corroboration, and extraction-ready information.
What GEO Consulting builds
Entity Disambiguation
Clarifies what your brand does, who you serve, and why AI systems should treat you as an authoritative source for your category.
Citation Gap Analysis
Benchmarks which competitors are cited across ChatGPT, Gemini, Perplexity, Copilot, and Claude when your brand is absent — and classifies each gap by how quickly it can be closed.
RAG-Ready Content Architecture
Restructures important pages so retrieval systems can parse, summarize, and cite them accurately in generated answers.
Information Gain Scoring
Prioritizes content that adds net-new value instead of repeating generic category language that AI systems already have from many sources.
Schema Architecture
Deploys FAQPage, HowTo, Service, and Organization markup that reduces AI ambiguity and improves extraction accuracy across answer surfaces.
Authority Reinforcement
Builds the third-party corroboration signals — external mentions, entity consistency, expert attribution — that AI systems use to confirm source authority.
How it works
01 — Audit. We benchmark your current citation visibility across ChatGPT, Gemini, Perplexity, Copilot, and Claude, map competitive gaps, and assess schema and content architecture.
02 — Strategy. We deliver a prioritized roadmap covering schema fixes, content restructuring, entity signals, and citation optimization targets — ranked by citation impact per query category.
03 — Build. We implement schema deployment, content rewrites, entity disambiguation, and authority-layer improvements aligned to your highest-priority citation gaps.
04 — Measure. We track share-of-model changes, citation accuracy improvements, and competitive position across all five AI platforms and report monthly.
Timeline
Most clients see measurable citation improvements within 60–90 days. Schema and extraction-ready content can improve AI Overview inclusion within 30 days. Share-of-model gains across ChatGPT, Gemini, Perplexity, Copilot, and Claude compound over 90–180 days as entity corroboration signals build.
Frequently Asked Questions
What is GEO?
Generative Engine Optimization is the practice of structuring content, schema, and entity authority so AI systems such as ChatGPT, Gemini, Perplexity, Copilot, and Claude cite your brand in generated answers.
Why does GEO matter?
Enterprise buyers use ChatGPT, Gemini, Perplexity, Copilot, and Claude to build vendor shortlists and compare solutions. If your brand is not cited, you may be excluded from consideration before a prospect reaches your website.
How long does GEO take?
Most brands should expect initial citation improvements within 60 to 90 days, depending on competition, crawlability, and existing authority. Schema and extraction changes can show results faster — within 30 days on crawl-driven surfaces.
Which platforms are included?
Brainpan.AI benchmarks and optimizes for ChatGPT, Gemini, Perplexity, Copilot, and Claude. Google AIO are also covered as part of extraction-readiness work.
Where do I start?
Start with the AI Visibility Audit. It establishes your citation baseline, competitive gap map, and 90-day roadmap before any implementation investment is made.
Start with the AI Visibility Audit
Get your citation baseline across ChatGPT, Gemini, Perplexity, Copilot, and Claude — plus the competitive gap map and 90-day roadmap the GEO program builds on.
Request AI Visibility Audit
Kevin Walsh
Kevin Walsh is the founder of Brainpan.AI, where he builds AI visibility infrastructure, GEO/AEO strategy, schema systems, and citation optimization programs for brands that need to be retrieved, cited, and trusted by AI answer engines.