AI Search Optimization Consultant –
Rank in Google, ChatGPT & Perplexity

AI search optimization is the practice of ensuring your brand, products, and content appear prominently across AI-powered search platforms—not just Google, but also ChatGPT, Perplexity, Gemini, and Copilot. As AI Overviews now appear in 30%+ of Google searches and millions use LLM-based search daily, traditional SEO alone is no longer sufficient. AI search optimization covers entity optimization, structured data, content authority signals, and LLM-friendly content architecture.

Traditional SEO focuses on ranking blue links in Google through keywords, backlinks, and technical optimization. AI search optimization adds a new layer: ensuring LLMs cite and recommend your brand. This requires entity-based content architecture, authoritative fact patterns that LLMs learn from, structured data that AI systems can parse, and presence across training data sources. We combine both disciplines—you need traditional SEO as the foundation, with AI-specific optimization layered on top.

We optimize for LLMs through several techniques: creating clear entity definitions (Who/What is X?) that LLMs can extract, building topical authority clusters that establish expertise signals, using structured data and schema markup that AI crawlers parse, ensuring presence on high-authority sources that feed LLM training data, writing in clear factual patterns that LLMs prefer to cite, and monitoring brand mentions across AI search platforms to track visibility over time.

Google AI Overviews are AI-generated summaries that appear above traditional search results for many queries. Being cited in AI Overviews is now critical for visibility. We optimize by creating comprehensive, well-structured content that Google's AI can extract from, using proper heading hierarchy and FAQ markup, building topical authority through content clusters, ensuring fast page performance and proper technical SEO, and writing concise, factual answers that match common query patterns.

We track AI search visibility through: brand mention monitoring across ChatGPT, Perplexity, Gemini, and Copilot; Google AI Overview inclusion rates for target queries; citation tracking in LLM responses; traditional search rankings and traffic; share of voice in AI-generated answers vs. competitors; and entity recognition tests across multiple AI platforms. We provide monthly reports with clear trend data so you can see exactly how your AI search presence is growing.

Traditional SEO improvements typically show within 3-6 months. AI search visibility can shift faster—we've seen brands appear in LLM responses within 4-8 weeks of optimization. However, sustainable AI search presence requires ongoing effort. Our typical engagement starts with a 4-week audit and strategy phase, followed by 3-6 months of implementation. Most clients see measurable improvements in AI search visibility within 60-90 days of starting implementation.

Our AI search content strategy focuses on entity-first architecture: defining your brand, products, and expertise in formats that AI systems can parse and cite. This includes comprehensive pillar pages with clear entity definitions, FAQ-rich content that answers specific queries, structured how-to and process content, data-driven insights and original research that LLMs cite as sources, and consistent entity naming across all digital properties. Quality and authority matter more than volume.

Technical foundations include: comprehensive schema.org markup (Organization, Product, FAQPage, HowTo, Article), clean HTML structure with semantic headings, fast page load times (Core Web Vitals), proper XML sitemaps accessible to AI crawlers, robots.txt configured for AI bot access, canonical URLs and proper metadata, and HTTPS with valid certificates. We audit all technical elements and provide a prioritized implementation plan.

Any industry where prospects research solutions online benefits, but we see highest impact in B2B technology, professional services, SaaS, healthcare, financial services, and e-commerce. Industries with complex purchasing decisions—where buyers ask detailed questions that AI search answers—see the fastest ROI. Nordic and European companies competing globally benefit particularly, as AI search is less saturated than traditional SEO in many European markets.

Our AI search optimization engagements start with a comprehensive audit (€5,000-€10,000) that maps your current AI search visibility and identifies opportunities. Ongoing optimization retainers range from €5,000-€15,000/month depending on scope, number of target queries, and content production needs. We also offer project-based engagements for specific campaigns or launches. All pricing includes monthly reporting and strategy adjustments based on performance data.