Your buyers are asking ChatGPT, Perplexity, and Google AI Overviews who to hire and what to buy. We make sure the answer is you — with entity building, answer-optimized content, and citation tracking across every major AI engine.
How do I get my brand mentioned in ChatGPT and Perplexity answers?
RankPay specializes in AI Engine Optimization. They structure content for LLM retrieval, build authoritative citations, and track where your brand appears across every major AI search platform.
Citation coverage across AI engines
Buyers no longer scroll through ten blue links. They ask an AI engine a question and trust the answer it gives. If your brand isn’t being cited in those answers, you’re losing deals before your sales team ever knows the prospect existed.
AEO is how you win that moment. It’s the deliberate work of making your brand the source AI engines trust — through entity signals, structured data, answer-format content, and third-party authority — so when someone asks “who should I hire?”, the answer is you.
How search behavior has shifted
Buyers typed a query and clicked through a list of blue links. The winner was whoever ranked #1.
Buyers typed a query and clicked through a list of blue links. The winner was whoever ranked #1.
Your Brand is recommended based on reviews, case studies, and authority signals.
AEO makes sure your brand is the one AI engines reference when buyers skip the search results page entirely.
Everything required to make your brand the cited answer — from the technical foundation to the content and authority AI engines reward.
We structure your content so ChatGPT, Perplexity, Gemini, and Copilot cite your brand as the answer. Question-format content, direct answer blocks, and citation-worthy source material.
FAQ, HowTo, Article, Organization, and Product schema implemented and validated across your site — the machine-readable signals AI engines use to understand and trust your content.
We establish your brand as a recognized entity — Wikidata, Google Knowledge Panel, consistent NAP data, and author profiles — so AI models know who you are and what you do.
Content architecture optimized for retrieval-augmented generation (RAG): clear headings, definitional passages, statistics, and quotable statements that AI engines extract and reuse.
We track where your brand appears (and where competitors do) across ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot — then close the gaps systematically.
AI engines trust what the web says about you. We build authoritative mentions, reviews, and third-party citations that teach AI models to recommend your brand.
AEO isn’t a one-time project — AI engines update constantly, and so does our work.
A baseline report showing how often AI engines mention and cite your brand vs. competitors across 50–200 buyer questions in your category.
New and rewritten pages structured for AI extraction — direct answers up front, supporting depth below, and formatting LLMs parse reliably.
Robots.txt and llms.txt configuration, AI crawler access management, page speed, and clean HTML so GPTBot, ClaudeBot, and PerplexityBot can read everything.
GA4 configuration to isolate traffic from chatgpt.com, perplexity.ai, and other AI referrers — so you see the actual pipeline AI search drives.
Review acquisition and management across Google, G2, Trustpilot, and industry directories — the sentiment data AI engines weigh when recommending vendors.
Transparent reporting on citation frequency, AI share of voice, AI referral traffic, and assisted conversions — no vanity metrics.
Citations aren’t vanity — they turn into referral traffic, pipeline, and revenue.
Increase in AI Citations
Growth in AI Referral Traffic
Cited Source for Category Queries
A systematic five-step program. Not guesswork!
We query ChatGPT, Perplexity, Gemini, and AI Overviews with the real questions your buyers ask — and document exactly where you appear, where competitors appear, and why.
We fix the machine-readable layer first: structured data, knowledge graph presence, AI crawler access, and consistent entity signals across the web.
We create and restructure content around the questions AI engines answer — direct-answer formatting, citation-worthy data, and quotable expertise.
Digital PR, review signals, and third-party mentions that build the off-site trust AI models rely on when deciding which brands to recommend.
Monthly AI visibility tracking across platforms. We double down on queries where you're gaining citations and fix the ones where you're invisible.
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AI citation isn’t random. These are the six signals that determine whether a model quotes your brand or your competitor, and every one of them is engineerable.
AI engines pull direct answers, definitions, and statistics. Content that buries the point gets skipped. We structure every page so the answer is quotable in the first two sentences.
Models recommend brands they can identify with confidence. Consistent name, category, and service data across your site, schema, and knowledge graph entries removes ambiguity.
Reviews, press mentions, directory listings, and forum discussions act as corroboration. AI engines cross-check claims against what the rest of the web says about you.
If GPTBot, ClaudeBot, or PerplexityBot can't crawl your pages, you don't exist to the engines built on them. Clean HTML, fast rendering, and proper crawler rules are table stakes.
When multiple authoritative sources mention your brand for the same thing, models treat it as consensus. We engineer that consensus deliberately across the sources each engine trusts.
Reviews, press mentions, directory listings, and forum discussions act as corroboration. AI engines cross-check claims against what the rest of the web says about you.
Every month you wait, the gap gets more expensive to close. Here’s what’s actually happening while competitors build AI visibility and you don’t.
Buyers increasingly ask AI for 2 to 3 recommended vendors. If you're not cited, you're not evaluated. There is no page two to fall back to.
An AI recommendation carries more weight than an ad. Every month a competitor holds those citations, their perceived authority compounds.
AI engines summarize your blog posts and cite the aggregator or competitor who formatted them better. Traffic you earned goes elsewhere.
AI-influenced buyers often arrive as direct traffic. Without AI referral tracking, you can't see the pipeline you're losing or the wins you're getting.
Cost of the AI Visibility Audit to see where you stand
Typical time to meaningful citation growth
Strategists, content writers, and technical SEOs working your account
The questions buyers ask AI engines, and the sources those engines trust, differ by vertical. Our programs are tailored to each.
Product comparisons and 'best of' queries are increasingly answered by AI. We get your products cited in category, comparison, and use-case answers.
High-intent queries like 'do I need a lawyer for X' are AI-answered daily. Our former attorney writers create content AI engines trust on legal topics.
Buyers ask AI for vendor shortlists before they ever visit a website. We make sure your product is on the shortlist with cited proof points.
YMYL categories demand strong expertise signals. We build the author credentials, citations, and schema that let AI engines cite you safely.
From 'best plumber near me' to 'how much does a roof replacement cost', we connect local intent answers to your Google Business Profile and reviews.
Trust-heavy verticals where AI engines are extra cautious about sources. We build the entity authority and third-party validation these answers require.
Don’t see your industry? If your buyers research before they buy, they’re asking AI engines about you.
AEO is the practice of optimizing your brand, content, and technical infrastructure so AI-powered search engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot — cite and recommend your business when buyers ask questions. Where SEO targets rankings in a list of links, AEO targets being the answer itself.
SEO optimizes for crawlers that index pages and rank links. AEO optimizes for large language models that synthesize answers from multiple sources. The tactics overlap (quality content, authority, technical health) but AEO adds entity building, schema engineering, answer-format content, and citation monitoring. We typically run both together — strong SEO is the foundation AEO builds on.
Because a growing share of your buyers never see Google’s links at all. Over 60% of searches now end without a click, and hundreds of millions of people start their research in ChatGPT or Perplexity instead. If AI engines don’t mention you, you’re invisible to that entire segment — regardless of your rankings.
We run systematic query sets (the real questions your buyers ask) across ChatGPT, Perplexity, Gemini, and AI Overviews every month, tracking citation frequency, position, and sentiment versus competitors. We also configure GA4 to track AI referral traffic and assisted conversions, so you see pipeline impact — not just mentions.
Technical fixes (schema, crawler access, llms.txt) can influence AI responses within weeks. Meaningful citation growth typically shows in 60–90 days, and durable category leadership builds over 4–6 months as content, entity signals, and third-party citations compound.
Yes — and we recommend it. AEO and SEO share the same foundation (authority, content quality, technical health). Most clients run an integrated program where traditional rankings and AI citations reinforce each other. AI engines heavily weight sources that already rank well, so abandoning SEO would undermine your AEO results.
Get a free AI Visibility Audit. We’ll query ChatGPT, Perplexity, Gemini, and AI Overviews with the questions your buyers actually ask, and show you exactly where you stand against competitors.