Hundreds of millions of people now ask ChatGPT for recommendations instead of Googling. We make sure your brand is the one it names, describes accurately, and links to when buyers ask.
ChatGPT has quietly become a primary research tool. People ask it to compare products, shortlist vendors, and recommend services, and they act on what it says. If the model does not know your brand, or describes it wrongly, you lose customers before they ever reach your site.
ChatGPT SEO is the work of making your brand discoverable, accurately represented, and frequently recommended inside ChatGPT, both in its trained knowledge and its live web browsing. It blends classic authority-building with content and data the model can confidently surface.
Novlers builds the structured content, entity signals, and credible third-party mentions that get your brand named and cited, then tracks exactly how ChatGPT talks about you over time.
ChatGPT SEO is the practice of optimising your brand and content so that ChatGPT recommends, describes, and cites you when users ask relevant questions. It spans both the model’s trained knowledge and its real-time browsing of the web.
It differs from classic SEO because there is no ranked list of links. Instead, ChatGPT synthesises an answer from sources it trusts and sometimes cites them. The goal is to become one of those trusted, cited sources, and to ensure the facts it states about you are correct.
In practice that means authoritative, well-structured content, strong and consistent entity signals, credible mentions across the web, and schema that makes your information easy for the model to extract and reproduce.
A complete program to make your brand visible and accurate inside ChatGPT.
We strengthen the entity signals that help ChatGPT understand who you are and what you do.
Clear, structured, factual content the model can confidently extract and quote.
Credible third-party coverage and references that build the trust ChatGPT relies on.
Markup that makes your facts, products, and FAQs machine-readable.
We find and fix the inaccurate information ChatGPT repeats about your brand.
Ongoing monitoring of how often and how favourably ChatGPT mentions you.
We build the content, entity signals, and external mentions that get your brand into the model’s understanding and its cited sources.
We analyse which sources ChatGPT favours for your topics and earn the authority and references needed to be named alongside or ahead of them.
We identify the inaccurate claims and correct the underlying sources and signals so the model describes you accurately.
We restructure pages with clear answers, headings, and schema so ChatGPT can extract and quote them confidently.
We monitor a set of key prompts and report how the model mentions, describes, and cites your brand over time.
We combine SEO foundations with generative-engine optimisation so you rank in Google and get surfaced in ChatGPT.
We test how ChatGPT currently answers questions in your category and where you do or do not appear.
We correct inaccurate information and strengthen the entity and authority signals about your brand.
We publish structured, authoritative content designed to be extracted and cited by the model.
We monitor how ChatGPT describes you and refine the program as the model and your goals evolve.
ChatGPT does not rank ten blue links. It assembles a single answer from the patterns in its training data and, when browsing is on, from a handful of live web pages it judges most trustworthy. To be recommended, your brand has to be both well understood as an entity and well represented across the sources the model leans on.
That makes ChatGPT SEO a blend of entity SEO, digital PR, and content engineering. We make your brand unambiguous to the model, earn the third-party signals it cross-checks, and structure your pages so the facts it needs are easy to lift and quote.
A clean, consistent identity (name, category, offering, location) across your site, schema, and the web so ChatGPT knows exactly who you are.
Reviews, listicles, directories, and editorial mentions that corroborate your brand. ChatGPT trusts what multiple independent sources agree on.
Direct answers, clear headings, definitions, and FAQ blocks the model can quote verbatim without guessing.
Deep, interlinked coverage of your subject so the model associates your brand with the whole topic, not one page.
Organization, Product, FAQ, and Article markup that hands ChatGPT machine-readable facts about you.
Up-to-date pages and timely content that ChatGPT's live browsing prefers to fetch and cite.
Both matter and they reinforce each other, but the targets are different.
Not by editing the model directly, but by improving the content, data, and authority signals it draws on. Over time that meaningfully changes how it describes and recommends your brand.
Yes. Much of our work targets the live web sources ChatGPT browses and cites, which is the fastest lever for new visibility.
We track how often ChatGPT mentions you, whether it cites you, and whether the facts it states are accurate, across a defined set of prompts.
It overlaps. Strong traditional SEO helps, but ChatGPT SEO adds structure, entity, and authority work specific to how AI assistants choose sources.
Some fixes (like correcting facts) can show up quickly, while building consistent recommendation usually takes a few months of authority and content work.
Yes, though it takes longer. New brands have few signals for the model to trust, so we front-load entity setup, schema, and digital PR to build a credible footprint, then layer on citable content. Expect early wins on factual accuracy and steadier gains on recommendation over a few months.
In two ways. Its trained knowledge reflects pages crawled before the cutoff, and its live browsing can fetch and cite your current pages in real time. We optimise for both, but browsing is the faster lever because changes are picked up immediately.
We define a set of buyer-intent prompts in your category and run them on a schedule, logging whether you are mentioned, how you are described, whether you are cited with a link, and which competitors appear. You get a clear before-and-after view of your share of answers.
Often, yes. Inaccurate answers usually trace back to outdated or conflicting sources. We find those sources, correct or out-publish them, tighten your own schema and About content, and reinforce the correct facts until the model repeats them.
It is closely related. Generative Engine Optimization (GEO) and LLM SEO are the broad disciplines; ChatGPT SEO is the same playbook focused specifically on OpenAI's models and surfaces. We run it alongside Perplexity, Google AI Mode, and SearchGPT work for full coverage.