AI Search Visibility

Help your site get surfaced and cited in AI search

AI Search Visibility is an audit, strategy, and implementation service for Generative Engine Optimization (GEO), also called Answer Engine Optimization (AEO). The outcome is practical: make your business easier for AI systems to find, understand, cite, and recommend when people ask questions in ChatGPT, Perplexity, Google AI Overviews, and related tools.

People increasingly ask those systems before they click a website. If they do not cite you, competitors fill the answer instead. Research from Pew found that people clicked a search result in 8 percent of visits when a Google AI summary appeared, compared with 15 percent when there was no summary. The research that introduced GEO measured visibility improvements of up to 40 percent in its experiments.

What GEO is

GEO is the work of making your public content extractable and trustworthy for answer engines: clear claims, consistent entity facts, structured data where it helps, and pages that answer real questions in plain language. It builds on solid SEO fundamentals rather than replacing them.

What GEO is not

• A guarantee that every model will cite you for every query
• A magic file that replaces useful content (including llms.txt, which can help some agents but is not a Google AI Overviews requirement)
• Keyword stuffing rewritten for chatbots
• Control over closed model training data you cannot audit

What the audit checks

• Prompt tests across major AI search and answer surfaces for your category and competitors
• AI crawler access through robots.txt, sitemaps, and CDN or WAF rules that accidentally block useful bots
• Content citability: answer-first sections, headings, JSON-LD schema, and entity consistency across the site
• Evidence density: specifics, dates, and first-hand detail versus thin placeholder pages
• Optional discovery files such as llms.txt, treated as helpers, not the core strategy

Common issues found

• Important answers buried under marketing language with no extractable claim
• Conflicting names, prices, or product facts across pages and profiles
• Useful crawlers blocked while scrapers still reach the same content
• Schema that does not match visible content, or thin pages with nothing to cite

Deliverables

• Audit: how AI agents and answer engines see the site today, including citation gaps versus competitors
• Strategy: what to keep, change, and add, in priority order
• Implementation: work with your developers, or I implement the agreed changes

Technical levers that matter

Implementation focuses on technical clarity, content structure, entity consistency, and evidence. JSON-LD, robots rules for AI crawlers, and answer-first page layouts are common tools. Discovery files may be included when they help specific agents, but they are never sold as a substitute for substance.

Platforms covered

Primary surfaces include ChatGPT, Perplexity, and Google AI Overviews. Related tools people use to search or ask questions include Claude, Gemini, Microsoft Copilot, Grok, Meta AI, Apple Intelligence, You.com, Brave Leo, Phind, DuckDuckGo AI, Arc Search, and Poe. Influence varies by platform; the audit is honest about what you can change and what you cannot.

Try a public GEO readiness audit

Before a full engagement, you can run my GEO & AI Agent Readiness Audit on Apify. It bulk-audits public websites for Generative Engine Optimization and AI agent readiness: crawler access, schema, llms.txt, and agent discovery, then returns a keep / change / missing report per site.

Use it to spot the obvious gaps quickly. The consulting work goes further - prompt tests against competitors, prioritized strategy, and implementation on your stack.

Related work

For bot and crawler access strategy more broadly, see bot traffic audit and bot defense. Custom product work is covered under software development.

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