How to Fix Every AEO / AI Visibility Finding
The AI Visibility Tracker queries ChatGPT, Claude, Perplexity, Gemini, Copilot and Brave Leo with your target prompts and measures whether your brand is cited, mentioned, recommended or invisible. AEO (Answer Engine Optimisation) is the new SEO. By 2026, AI chat is replacing traditional search for high-intent informational queries. If you're not in the answer, you're not in the consideration set. This index covers every finding the tracker raises.
By finding type
Pick the finding matching yours:
🤖 Fix invisibility in ChatGPT PLANNED
ChatGPT pulls from training data (frozen at cutoff) AND live browsing for newer queries. To appear: get cited in high-authority sources before the next training cut-off, allow GPTBot in robots.txt for live retrieval, and structure content so the model can quote you cleanly.
🔮 Fix invisibility in Perplexity PLANNED
Perplexity is the most-cited AI engine in 2026 because it shows source links inline. Its retrieval favours content that directly answers the query in the first 100 words, with citation-friendly structure. Allow PerplexityBot, optimise for query-match-in-intro.
💎 Fix invisibility in Gemini PLANNED
Gemini draws heavily from Google's index. If you rank well in Google, you have a head start in Gemini. But Gemini also weights freshness and structured data more heavily. The interaction between traditional SEO and Gemini-specific signals.
📑 Fix low citation frequency PLANNED
You appear in answers sometimes but rarely. AEO is about being the "source of truth" for a query category. The patterns that earn repeated citations: data-led content, primary-source positioning, definitive guides on niche queries.
⚠️ Fix wrong attribution / hallucinated facts PLANNED
An AI engine cites your domain but attributes a claim you don't make, or hallucinates an inaccurate fact. The escalation path: contact the AI provider, publish a clear correction page, push the corrected source into citation circles.
🏛️ Fix missing AEO schema PLANNED
FAQPage, Article, HowTo, Organization, Person — the schema types AI engines lean on most. Specific patterns: FAQPage for query-style content, Article with author Person, Organization with sameAs to social profiles. Validate every page.
📐 Fix content structure for extraction PLANNED
AI engines extract direct answers: TL;DR boxes, bullet summaries, query-as-h2-then-answer-as-paragraph, short definitive sentences. The "quotable atom" pattern: any answer engine should be able to grab a 1-3 sentence chunk that stands alone.
💬 Fix weak brand mentions across the web PLANNED
AI engines weight unlinked brand mentions, not just backlinks. Comparison sites, Reddit threads, Quora answers, YouTube video descriptions, podcast show notes — these all feed the AI's understanding of your relevance. The brand-mention strategy that scales.
By engine
Each AI engine has different ranking patterns:
🤖 Optimise specifically for ChatGPT PLANNED
Training data lag, browsing-mode triggers, plugin/GPT-store integrations, the way ChatGPT decides whether to cite a source vs paraphrase silently.
🔮 Optimise specifically for Perplexity PLANNED
Citation-heavy results, the relevance-vs-authority weighting, the Pages and Spaces features, getting into Perplexity's curated source pool for verticals.
🎯 Optimise for Claude / Gemini / Copilot PLANNED
Claude's retrieval patterns via Claude.ai search, Gemini's Google-index reliance, Copilot's Bing-driven results. Where AEO strategies overlap and diverge.
What our AEO Checker measures
The checker runs your target queries against multiple AI engines, scores brand presence (cited / mentioned / recommended / invisible), tracks citation frequency over time, identifies citation gaps where competitors appear and you don't, and surfaces wrong-attribution incidents. For the full reference, see the AEO Guide or sample report.
📊 Measure your AI visibility first
Run the checker. Knowing where you stand in AI answers is the first step — most brands have never measured it.
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