Modern websites, ranked in AI searchCited by ChatGPT, Perplexity & Google AI Overviews32% of our own traffic comes from AI searchModern websites, ranked in AI searchCited by ChatGPT, Perplexity & Google AI Overviews32% of our own traffic comes from AI searchModern websites, ranked in AI searchCited by ChatGPT, Perplexity & Google AI Overviews32% of our own traffic comes from AI searchModern websites, ranked in AI searchCited by ChatGPT, Perplexity & Google AI Overviews32% of our own traffic comes from AI search
AI Search Visibility

When your customers ask ChatGPT, does it say your name?

A systematic plan to get your business mentioned by name when ChatGPT, Perplexity, Claude, and Google AI Overviews answer the questions buyers in your area are actually asking.

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The challenge
Your customers are asking ChatGPT direct questions. "Best dentist in north Toronto that does Invisalign." "Who can install a new kitchen in Burlington under 8 weeks." "Real estate agent in Westboro for first-time buyers." The model answers with names. The names that come up are the businesses whose sites the engine could actually read and trust. Those businesses did not show up by accident. They have content the retrieval layer can parse, schema that nails the entity, and consistency across the directories the engines pull from. Most local businesses have none of this. Their site was built for traditional Google search in 2019 and the AI engines walk past it.
How we solve it
LLM citation work is folded into Engine builds and runs every month on the Growth and Authority retainers. We map the specific questions your buyers ask AI engines for each stage of the journey (research, comparison, decision), then our strategists run those queries weekly across ChatGPT, Perplexity, Claude, Gemini, OpenAI search, and Google AI Overviews. We see what sources currently get cited, including which competitor sites the engines like and why. Then we ship the content: definitional first paragraphs, FAQPage schema on the buyer questions, comparison content that beats the competitor sources, Reddit and Wikipedia seeding on Authority, and citation-friendly structural patterns the retrieval layer prefers. We measure results monthly and iterate based on what the engines actually do, not what we hope they do, with monthly AI-traffic tracking on cite-met.com showing which AI crawlers read your pages.

Key benefits

Cited by name, not described

When an AI assistant answers a buyer question in your category, it says your business name. It does not wave at "a local provider" and leave you out.

You show up at the buying moment

We go after the queries that signal someone is ready to buy, so your name lands at the point in the AI-assisted search where the decision gets made.

Both ways a model can cite you

We cover the two paths to a citation: what the model learned in training (parametric) and what it pulls from a live search (retrieval). Miss one and you miss half the queries.

Our process

  1. 01

    Citation Intent Mapping

    We list the buyer questions where an AI citation sways the decision, and note who gets cited for each one today.

  2. 02

    Citation Content Architecture

    We build the content the retrieval layer likes to quote: a clear definition, a comparison the model can lift, and claims that point to a source.

  3. 03

    Training Data Influence

    We grow your presence on the high-authority sources the LLMs train on, so your brand is in the model before it ever runs a search.

  4. 04

    Retrieval Optimization

    We tune your site for the crawlers and indexes that feed live AI search, so the engine can fetch and read you in real time.

  5. 05

    Citation Tracking & Expansion

    We watch your citations across the major LLMs, measure your share against competitors, and move into the next set of queries.

23 named citations across 4 LLMs

A B2B SaaS client earned named citations in ChatGPT, Gemini, Perplexity, and Claude inside 90 days.

38% of pipeline influenced by AI discovery

After the citation work, the client traced more than a third of new pipeline to prospects who first met the brand through AI search.

12x citation frequency vs. pre-engagement

The same work lifted how often the LLMs mentioned the brand by roughly twelvefold against the starting point.

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Industry sources we cite.

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