AI Search Growth Lab
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What Is Generative Engine Optimization (GEO)? A Practical Guide for B2B Teams
Generative Engine Optimization is how brands earn mentions and citations inside AI-generated answers. Here is what it is, how it differs from SEO, what actually moves the needle — and how to measure it without fooling yourself.
Read the guideHow to Get Your Brand Recommended by ChatGPT (and Measure It)
A step-by-step playbook to increase how often ChatGPT mentions, recommends and cites your brand: crawler access, prompt research, quotable pages, third-party sources, entity consistency and measurement.
ReadHow to Track ChatGPT and AI Referral Traffic in GA4
Create an AI Assistants channel group in GA4, capture AI sources on forms and in your CRM, and understand what AI traffic you can and cannot see — with copy-paste regex.
ReadOAI-SearchBot, GPTBot, Google-Extended: A robots.txt Guide for AI Crawlers
Which AI crawlers affect visibility and which only affect training — OAI-SearchBot, GPTBot, ChatGPT-User, Google-Extended, PerplexityBot, ClaudeBot, Claude-SearchBot and more — plus a copy-paste robots.txt.
ReadHow Much Does GEO Cost? A Pricing Guide for 2027 Budgets
What Generative Engine Optimization costs, how GEO agencies price, what should be included at each level, what drives the price and the red flags to avoid — with Aivanta’s published ranges.
ReadGoogle Ads for SaaS: Optimize for Pipeline, Not Clicks
How B2B SaaS teams restructure Google Ads around buying intent, import SQL and revenue as offline conversions, use value-based bidding and measure cost per SQL and pipeline.
ReadThere Is No “GEO Schema”: The Structured Data That Actually Helps AI Understand Your Brand
No special “GEO schema” exists. Here are the standard Schema.org types — Organization, WebSite, Article, Product, Service, FAQPage, BreadcrumbList — that help AI systems understand your brand, with JSON-LD examples.
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