--- title: "Found on Google, Cited by AI | Social Influence" description: "Structured data, a Markdown twin and llms.txt so Google and AI assistants like ChatGPT find, understand and cite your Greater Montreal business." canonical: "https://socialinfluencebuilder.com/en/systems/found-on-google-cited-by-ai/" lastmod: "2026-09-19T04:40:33+00:00" lang: "en-CA" format: "markdown" --- HTML version: # Found on Google, cited by AI Your customers ask Google for a recommendation, but they also ask ChatGPT and Perplexity. This system bundles Schema.org markup, a Markdown twin of every page, NAP consistency and citation tracking to build your visibility in AI answer engines, so Google and AI both find you, understand you and cite you. Schema.org markup · Markdown twin of every page · llms.txt file · NAP consistency · AI citation tracking For Greater Montreal SMBs that want to show up when a customer asks for a recommendation, whether in Google or through an AI answer engine like ChatGPT or Perplexity. ## What this system fixes - **AI answer engines recommend your competitors**: Ask ChatGPT or Perplexity for a service in your sector in Montreal. Without structured data or citable content, the assistant names the competitor who has it, not you, and that recommendation repeats every time a new customer asks. - **Your site has no version an AI can read cleanly**: An AI assistant favours a plain page over one loaded with scripts. Without a Markdown twin and an llms.txt file, it has to guess at your content instead of citing it with confidence, and it may end up favouring a source that's easier to parse instead. - **Your information changes depending on the source**: Name, address and phone number differ between your site, your Google Business Profile and directory listings. Google and AI both hesitate to cite a business whose facts don't line up, even when that business offers exactly what the customer is looking for. ## The expert decides - Decide which pages need a Markdown twin first and which can wait - Fix NAP inconsistencies across your site, your Google Business Profile and directory listings - Choose which customer questions deserve a full, citable answer ## AI accelerates - Generate Schema.org markup from your service data, without manual entry - Produce and keep up to date the Markdown twin of every published page - Track your citations across multiple AI answer engines on an ongoing basis ## The system building blocks ### Structured data and entity markup Every page carries Schema.org markup (LocalBusiness, Service, FAQPage, BreadcrumbList) that names your business, your services and your area without ambiguity, for Google and for AI. That markup also states your hours, address and linked reviews, when that data exists. ### llms.txt and a Markdown twin An llms.txt file and a Markdown version of every page give assistants like ChatGPT and Claude clean content to cite, without having to interpret your layout or your scripts. This page itself has a Markdown version, reachable with the HU|IA toggle at the top of the screen. ### Entity-first content and NAP consistency Your service, your city and the platforms you use are named plainly, not hidden behind vague phrasing. The same contact details appear on your site, your Google Business Profile and directory listings, so every source an AI checks shows the same facts. ## What the system connects - Google Business Profile - Google Search Console - Schema.org (JSON-LD) - llms.txt - ChatGPT - Perplexity - Google AI Overviews ## Compare the approaches | | Traditional SEO approach | Found on Google, cited by AI | | --- | --- | --- | | Schema.org markup | Missing or partial | LocalBusiness, Service, FAQPage and BreadcrumbList on every page | | AI-readable version | None, AI reads the rendered HTML | A Markdown twin of every page, plus an llms.txt file | | Information consistency | Name, address and phone number vary by source | Same details on your site, your Google Business Profile and directory listings | | Content | Generic, built around keywords | Entity-first, names the service, the city and the platform | | Tracking | Google rankings only | Google rankings and citations in AI answers | | Goal | Getting the click | Getting cited, click or not | ## Your journey ### Audit (Step 1) We go through your pages, your Google Business Profile and your directory listings to find NAP inconsistencies, pages missing markup and content an AI still can't cite accurately. ### Structure (Step 2) We install Schema.org markup, publish the Markdown twin and the llms.txt file, then fix the inconsistencies found across your site, your Google Business Profile and the directories that matter most. ### Monitor (Ongoing) We track your citations across AI answer engines and your Google rankings, and adjust content that isn't cited yet or is cited with inaccurate information. ## Results achieved - [Chez Coco Esthétique](https://socialinfluencebuilder.com/en/case-studies/chez-coco-esthetique/): **100 / 100 / 100 Lighthouse mobile (accessibility, best practices, SEO)**, after the redesign, 2026-06-11. Source: Lighthouse mobile, SIB post-fix QA, recorded in the SIB CRM on 2026-06-11 - [Direct Pay Solutions](https://socialinfluencebuilder.com/en/case-studies/direct-pay-solutions/): **35 → 72 Google clicks (web search)**, 28 days to 2026-06-27 vs 28 days to 2026-09-16. Source: Google Search Console (web search), 28 days 2026-05-31 to 2026-06-27 vs 28 days 2026-08-20 to 2026-09-16, pulled 2026-09-18 - [Dr Peguy Télusma, GLIF Medical](https://socialinfluencebuilder.com/en/case-studies/dr-peguy-telusma/): **99 → 187 Google clicks (web search)**, 28 days to 2026-07-23 vs 28 days to 2026-09-16. Source: Google Search Console (web search), 28 days 2026-06-26 to 2026-07-23 vs 28 days 2026-08-20 to 2026-09-16, pulled 2026-09-18 ## Other systems - [Found on Google, cited by AI](https://socialinfluencebuilder.com/en/systems/found-on-google-cited-by-ai/) - [Five marketing systems for small businesses in Greater Montreal](https://socialinfluencebuilder.com/en/systems/) - [The system for more calls from Google Maps](https://socialinfluencebuilder.com/en/systems/calls-from-google-maps/) - [Google Ads, every call traced](https://socialinfluencebuilder.com/en/systems/google-ads-every-call-traced/) - [The website system that makes the phone ring](https://socialinfluencebuilder.com/en/systems/website-that-converts/) - [No lead left behind: automation that answers every call and form](https://socialinfluencebuilder.com/en/systems/no-lead-left-behind/) ## Frequently asked questions ### What is the 'Found on Google, cited by AI' system? It's the combination of structured data, a Markdown twin of every page, an llms.txt file and entity-first content that lets Google and AI answer engines like ChatGPT or Perplexity understand your business clearly and cite it with confidence, instead of guessing or naming a competitor instead. ### What's the difference between SEO and this system? Traditional SEO aims for a click in Google's results. This system adds a layer: making your content readable and citable by AI answer engines like ChatGPT and Perplexity, which often answer the question themselves, without a click to your site happening at all. ### What is a Markdown twin? It's a plain-text version of every page on your site, published at the same address followed by '.md'. AI assistants read it more easily than a script-heavy HTML page with layout and navigation, which can help reduce factual errors in a citation. ### What is the llms.txt file? It's a file at the root of your site that tells AI assistants where to find your important pages and their Markdown twins. It works like a sitemap built for AI rather than for a traditional search engine, and it makes your whole content library easier to read. ### Why does NAP consistency matter to AI? When your name, address and phone number differ between your site, your Google Business Profile and directory listings, Google and AI can't tell which version is accurate. They may cite a competitor whose information matches everywhere instead, leaving your business out of the answer. ### How long before my business shows up in AI answers? The audit sets the order of the steps: structured data, Markdown twin, llms.txt. How soon you show up in an AI answer then depends on your sector and which competitors are already cited; the timeline for the base structure is confirmed at the audit. ### Does this system replace traditional Google SEO? No. It builds on the same foundations, structured data, clear content, consistent information, and extends them to AI answer engines like ChatGPT and Perplexity. A site that already ranks well on Google starts ahead when it comes to being cited by AI, rather than starting from zero. ### How do I know if my business is already cited by AI? Ask ChatGPT or Perplexity the question a customer would ask for your service in your city. If your business doesn't come up, or the information cited is wrong or outdated, that's a sign you're missing structured data or a consistent source AI can verify easily. ### Do the case studies show a measured AI citation? The case studies linked on this page show the structured-data work and Search Console tracking achieved for these clients. None has a measured AI citation yet; we'll add that proof here once a sourced, measured result exists for a client. [Book a call](https://socialinfluencebuilder.com/en/book-a-discovery-call/)