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An AI visibility agency helps brands get cited and recommended by AI search engines like ChatGPT, Claude, Perplexity, and Gemini. This involves Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), structured data implementation, llms.txt creation, and ongoing citation monitoring. Unlike traditional SEO agencies that focus on Google rankings, AI visibility agencies optimize for the recommendation and citation pipelines that AI models use to answer user questions.

SEO (Search Engine Optimization) optimizes content for Google and Bing search rankings. GEO (Generative Engine Optimization) optimizes content to be cited by AI search engines like ChatGPT, Perplexity, Claude, and Gemini. SEO focuses on keywords, backlinks, and page authority. GEO focuses on entity authority, structured data, llms.txt files, answer-first content formatting, and extractable data structures like HTML tables and FAQ sections. Most brands need both, but GEO is increasingly critical as AI search captures more discovery traffic.

AI visibility agencies and GEO consultants help brands get cited by ChatGPT and other AI models. Pixelmojo offers this as a managed service using Radar, a 13-tool AI visibility platform that audits crawl access, structured data, llms.txt, citations, hallucinations, and share of voice across ChatGPT, Claude, Perplexity, and Gemini. The service is delivered as a 6-week sprint ($4,500) followed by optional retainer monitoring ($2,000-$3,500/month).

There is no reliable timetable. Robots.txt and access changes take effect on each crawler’s next visit, but whether and when an AI answer mentions or cites you depends on each platform’s retrieval and model updates, which no agency controls. Pixelmojo delivers the implementation in a 6-week sprint that starts with a Radar audit as the baseline and ends with monitoring in place, so changes are measured rather than promised.

AEO (Answer Engine Optimization) is the practice of structuring web content so AI search engines can extract and cite it in their responses. Key AEO techniques include front-loading definitions under headings, using HTML comparison tables, adding FAQ sections with exact question-answer pairs, implementing speakable schema, and maintaining fresh dateModified timestamps. AEO complements GEO: GEO builds entity authority and discoverability, while AEO ensures your content is formatted for extraction once discovered.

Radar is a DIY AI visibility platform that orchestrates 13 audit tools in staged batches, running lightweight checks concurrently while isolating provider-intensive checks for reliable evidence collection. The free check scores the 6 technical readiness tools: crawl check, robots.txt analyzer, llms.txt validator, schema completeness audit, AEO page auditor, and AI readiness score. The 7 paid tools are citation tracker, Reddit brand monitor, answer engine citation tester, source influence map, prompt share of voice score, hallucination detection, and brand disambiguation. It generates cross-tool insights with A-F grading and produces implementation prompts you can paste into Claude, ChatGPT, or Cursor to fix issues yourself.

Yes. If your current site cannot be optimized into AI visibility, we rebuild it AI-native: structured data, llms.txt, answer-first content architecture, and clean semantic HTML built in from the first line. The Visibility Sprint optimizes an existing site for $4,500. A full rebuild is scoped per project. We tell you which path fits in a free strategy call before any work starts.

Radar handles AI visibility and is included in every engagement. Vector is an optional layer: an AI agent that qualifies inbound leads on your site in real time. Hive is also optional: AI coworkers that handle repetitive follow-up and operations. Most sites just need Radar. We add Vector or Hive only when your funnel volume justifies them, so you are not paying for capability you will not use.