ChatGPT isn’t just a chatbot anymore, it’s the new front page of the internet. And for obvious reasons as people are not sifting through Google’s top blue links like they used to.
Instead, from finding the best tools to comparing products to hiring service providers, and more, people are asking ChatGPT and getting one clear answer.
This is how ChatGPT is increasingly changing traditional search. Meaning, if you’ve been optimizing for and ranking on Google, this is a new frontier that you can’t ignore anymore.
But how to rank on ChatGPT search? Well, the short answer is there’s no guaranteed way. Nevertheless, you can still get your website, content, or business featured in AI-generated responses.
In this guide, I’ll walk you through exactly how you can do so. You’ll learn real-world strategies built for how large language models like ChatGPT actually find, evaluate, and surface content.
So, let’s get started.
Key Takeaways
- AI search is the new SEO frontier. Users now ask ChatGPT directly for product, service, and brand recommendations.
- ChatGPT pulls from trusted sources like Common Crawl, Wikipedia, Reddit, and high-authority websites, not just your own site.
- Entity optimization beats keyword stuffing. Use structured schema, consistent brand mentions, and semantic clarity to define your expertise.
- Get cited where AI learns. Focus on high-DA sites, forums like Reddit and Quora, and evergreen content that surfaces in AI training data.
- Format for AI readability. Use clean HTML, bullet points, TL;DRs, FAQs, and <h2>-tagged sections that mirror user prompts.
- Ensure you’re in Common Crawl. Allow GPTBot and CCBot in robots.txt, keep content public, fast, and semantically structured.
- Evergreen content wins. Glossaries, how-tos, and checklists get reused by AI systems repeatedly across answers.
- Custom GPTs and RAG systems are power plays. Embed your content directly into AI workflows, tools, and assistants.Monitor your brand in AI tools. Use ChatGPT, Perplexity, and Claude to test visibility; adjust based on how you’re being described.
- Think beyond SEO and aim to become the answer. You’re not chasing position #1, you’re aiming to be the default trusted response.
How to rank on ChatGPT exactly?
For starters, your content needs to be both trusted by AI and easy for it to reuse to stand out in ChatGPT’s answers. And to that end, you should think about being the go‑to expert rather than the top link.
You can start by ensuring your content is crawlable and cited on reputable sites, and then format it clearly with bold headings, bullet lists, FAQs. Then, optimize with schema for entities and refresh regularly.
This approach builds a foundation that ChatGPT can reliably reference as it surfaces your brand in its answers.
But that’s still a basic approach. In the sections below, I’ve explained how the system learns, what it prioritizes, and how you can position your content or brand to show up consistently.
1. Understand how ChatGPT sources its information
To rank on ChatGPT, you first need to understand how it gathers and retrieves information. You see, unlike Google which crawls and indexes web pages in real time, ChatGPT pulls from a mix of static and dynamic sources, depending on the version and context. Here’s how it sources information:
| Source Type | Description | Optimization Tips |
|---|---|---|
| Pretrained Data | Massive datasets like Common Crawl, Wikipedia, Reddit, Stack Overflow | Ensure your content is public, crawlable, and evergreen |
| Real-Time Retrieval | Bing browsing (GPT-4), Perplexity, plugins | Publish on high-DA sites and keep titles/query phrases natural |
| RAG (Retrieval-Augmented Generation) | Pulls real-time from connected sources (e.g., Notion, Help Centers) | Structure your KB, add APIs or feed docs into RAG pipelines |
A. Pretrained data sources
Most ChatGPT responses, especially in the free version, are based on pretrained data. This includes massive datasets like:
- Common Crawl (web snapshots)
- Wikipedia
- Books, research papers, forums like Reddit and Stack Overflow
- Publicly available web pages that aren’t blocked by robots.txt
So, if your brand or website appears consistently in these data sources, you have a higher chance of being cited or mentioned.
Pro tip: Make sure your site is crawlable by Common Crawl and has evergreen content like glossaries, guides, FAQs. These are more likely to be included in pretraining sets.
B. Real-time retrieval via plugins and browsing
ChatGPT Plus users with GPT-4 can use Browse with Bing, which fetches live web results from high-authority sources. It can cite and link to your page in real time, similar to Google’s AI Overviews or Perplexity.
C. Retrieval-augmented generation (RAG)
Some advanced versions of ChatGPT, especially in enterprise or custom setups, don’t just rely on what the AI learned during training. Instead, they can look up specific trusted content in real time from connected sources like private databases, help centers, Notion docs, or cloud storage.
This setup is called Retrieval-Augmented Generation (RAG) and it blends what the model already knows with fresh and relevant information pulled from external documents.
Bottom line: Your goal should be to make your content part of the ecosystem ChatGPT can draw from.
Bonus: Here are platforms ChatGPT commonly learns from
| Platform | Why It Matters | How to Leverage |
|---|---|---|
| Wikipedia | Widely used for entity training | Get your brand listed or referenced where relevant |
| Cited for discussions and sentiment | Engage in niche subs, mention your brand naturally | |
| Quora | Mirrors natural language queries | Answer relevant questions using your brand context |
| Medium | Regularly scraped by AI | Publish original, evergreen thought leadership |
| GitHub/Stack Overflow | Source for dev/tech queries | Contribute with branded code/docs if you’re a tech brand |
| News & PR Sites (e.g., AP, Forbes) | High-trust and often cited | Secure mentions via PR, thought leadership, or bylines |
2. Focus on high-authority mentions and citations
ChatGPT might not use backlinks the same way Google does, but citations, mentions, and brand context still matter. That’s because Large Language Models (LLMs) like GPT-4 determine trust and relevance from how often and where your brand is mentioned across the web.
Here’s what you should do:
A. Improve domain authority and citablity
LLMs are trained on datasets like Common Crawl, which favors high-authority websites. So, you’re more likely to be surfaced in ChatGPT’s responses if your brand is mentioned or cited on:
- DA60+ websites (e.g., Forbes, TechCrunch, HubSpot)
- Industry-relevant media outlets
- Popular communities (Reddit, Quora, Hacker News)
For instance, our client Juan’s Steam and Sauna Experts got featured in reports on AP News, CBS, and more. And this is one of the many factors that help them consistently appear on ChatGPT when users ask about the best sauna installation service in Florida.
B. Be present where LLMs learn
LLMs digest platforms that are “trainable.” Meaning content on these platforms are consistently scraped, archived, or referenced in ChatGPT knowledge bases.
So, I suggest you build content and activity on:
- Reddit: Subreddits relevant to your industry
- Quora: Answer niche-specific questions
- Medium & Dev.to: For tech and B2B content
- YouTube (with optimized transcripts)
Pro tip: When you post on Reddit or Quora, include your brand name, location, and website in your answers organically. LLMs associate these patterns with real-world entities.
C. PR, guest posts, and thought leadership still work
Traditional PR isn’t dead, it’s just evolving.
Here’s what you should do:
- Secure mentions in online publications, not just for backlinks but for entity recognition
- Write guest blogs on platforms already included in Common Crawl (Medium, Substack, etc.)
- Get interviewed on podcasts or industry blogs (with transcripts published)
LLMs weigh the repetition of association. So, if your brand is repeatedly described, for instance, as “a top-rated lawyer in El Paso” across platforms, that’s how ChatGPT will likely describe you too.
In short: AI doesn’t just “crawl” your website, it learns from the web’s collective consensus.
Build your presence where LLMs look for signals on reputable domains, user discussions, and in structured mentions. You don’t need thousands of links, you need the right ones from the right places.
3. Optimize for entity recognition (brand, people, products)
To rank in ChatGPT search, it’s not enough to have good content. You need to make sure that ChatGPT understands who you are, what you offer, and how you’re connected to your niche. This comes down to one core principle: Entity optimization.
A. Work towards entity recognition
Entity recognition matters in LLMs. That’s because ChatGPT and other AI tools don’t “index keywords” like Google used to. Instead, they learn from relationships between people, places, products, and ideas.
This means you need to establish your brand as a recognized entity within your industry.
B. Use schema markup for entity definition
Structured data is critical to help AI systems understand your brand. And to that end, schema markup tells machines explicitly what a page or brand is about.
You can add the following schema types:
- Organization – name, logo, address, contact info
- Person – if you’re building thought leadership (CEO, expert, etc.)
- Product – for SaaS tools, services, or physical goods
- FAQPage, Article, Review, HowTo – for content-rich entities
- LocalBusiness – if you serve a specific geographic area
Here’s why these schema types are important:
| Schema Type | Use Case | AI Benefit |
|---|---|---|
| Organization | Define your brand | Helps AI understand business name, location, logo |
| Person | Expert content or personal branding | Ties thought leadership to known entity |
| FAQPage | Q&A format content | Improves match with ChatGPT-style prompts |
| Product/Service | SaaS or ecommerce pages | Makes offerings explicit for AI parsing |
| LocalBusiness | Local SEO relevance | Boosts local mentions in AI and search tools |
C. Reinforce brand mentions with proper context
LLMs thrive on contextual clarity. So, don’t just mention your brand name but repeat it in association with your niche, location, or specialty.
For instance, instead of saying “We’ve helped many clients…,” you can say “At Bella Skincare Spa in Austin, TX, we’ve helped over 500 clients improve their skin health with advanced acne treatments.”
Repeat these associations across your homepage, blogs, interviews, and social profiles to build a strong semantic relationship.
D. Create glossaries and internal definitions
LLMs love clarity. And most powerful tools you can build to provide ChatGPT with clarity are:
- A glossary or internal definitions page
- Topic pillar pages that define your approach
- Explainers that break down industry-specific terminology
These get indexed more easily, cited more often, and help position you as an authority in the subject matter.
Pro tip: Have well structured internal linking
Every time you mention your brand, product, or service on your site, link back to your About page, product pages, or glossary using descriptive anchor text.
For instance:
“Learn more about how our Hustler Revenue Accelerator System helps you gain 10 extra clients monthly.”
This helps both users and LLMs associate the right terms with your brand.
Bottom line: ChatGPT doesn’t “rank” based on just keywords, it surfaces entities they understand and trust. So, make yourself legible to machines by using structured data, repeating context-rich mentions, and building content that defines who you are, what you do, and why it matters.
4. Format for LLM readability
Even if your content is brilliant, if it’s not machine-readable, it won’t be used. After all, language models like ChatGPT don’t just look at what you say, they also consider how it’s structured.
So, format your content for maximum clarity and extractability, and you’ll make it easy for AI to pull you into answers, summaries, and citations.
Here’s what you should do:
A. Use clean semantic HTML
AI systems process the HTML structure of a webpage to understand hierarchy and meaning.
Here are some of the best practices you can follow:
- Only one <h1> per page for the main topic
- Use <h2>, <h3>, and <h4> for logical subtopics
- Lists (<ul>, <ol>) are more likely to be extracted as bullets
- <strong>, <em>, and <blockquote> help AI interpret tone and emphasis
- Avoid bloated <div> tags or JavaScript-heavy rendering
Why does it matter?
LLMs often repurpose content into snippets. So, clear HTML increases the chance your content is reused or cited.
B. Have TL;DRs, key takeaways and FAQs
ChatGPT often favors content that provides summary-ready insights. And to rank here, I suggest you use these formats:
- “TL;DR” or “Key Takeaways” at the top or bottom of articles
- FAQs answering direct conversational questions
- Use exact phrasing like:
“Can small businesses rank in ChatGPT search?”
“What is the best way to improve AI visibility?”
This aligns directly with the prompt structure ChatGPT users type, improving your chances of being featured.
C. Keep it clear, simple, and precise
AI doesn’t like fluff. It looks for direct, concise, and fact-based language.
You should not:
- Overuse metaphors or creative phrasing that obscures meaning
- Write long, meandering paragraphs
You should, instead:
- Aim for 3–5 sentence paragraphs
- Use clear definitions for niche terms
- Include data, numbers, and examples where possible
D. Answer one question per section
Segment your content with clear subheadings that double as user prompts.
For instance:
- “How does ChatGPT decide what to cite?”
- “What’s the difference between Bing Copilot and ChatGPT?”
This structure mirrors how users search and how LLMs are trained to retrieve.
E. Use tone that’s both conversational and credible
To rank on ChatGPT, your content should feel:
- Natural enough for a human to understand
- Factual enough for AI to trust
This balance helps you stand out when users ask for “trusted sources” or “best content about [X].”
Bottom line: The way your content is structured directly impacts whether ChatGPT can parse and cite it. So:
- Structure with semantic HTML
- Use clear subheadings and bullet points
- Add FAQs, summaries, and direct answers
- Keep language crisp, factual, and extractable
5. Get indexed in Common Crawl (and others too)
If your website isn’t included in the datasets large language models like ChatGPT were trained on, you’re practically invisible to them.
One of the most critical of these datasets is Common Crawl, a publicly available web archive that feeds data into AI models used by OpenAI, Anthropic, Meta, and others.
What is Common Crawl?
Common Crawl is a non-profit organization that crawls the open web every month, storing billions of web pages in its archives. Many AI developers use this data as part of their model pretraining.
LLMs like GPT-4 likely rely heavily on Common Crawl snapshots (alongside sources like Wikipedia, GitHub, books, etc.) to learn language and recognize reputable content.
How to check if your site is in Common Crawl?
While there’s no official “Common Crawl search engine,” here are a few methods:
- Use Common Crawl Index – search by domain
- Use this Simple Python Tool to check at scale
- Visit [ChatGPT’s “What do you know about [brand]?”] and infer if content is present
- Try Perplexity.ai and see if your site is cited for a double-check
Now that you know the basics about Common Crawl, here’s how you can ensure your content is findable, trainable, and AI-visible.
A. Make your site AI-friendly to crawlers
To appear in Common Crawl and other datasets (like OpenWebText or LAION), your site must be crawlable and accessible.
Here’s a checklist you can follow:
- Allow GPTBot and Common Crawl in robots.txt
- Avoid paywalls, logins, or JS-heavy rendering
- Use canonical tags properly and avoid duplicate content confusion
- Submit sitemaps to Google Search Console and Bing Webmaster Tools
- Use fast, responsive design (Core Web Vitals impact crawlability too)
You see, AI scrapers (like Perplexity’s Arxiv-type pipeline) skip broken or blocked content. So, clean architecture and permission signals are essential.
B. Get Links from “trainable” sites
Even if your domain isn’t frequently crawled, you can appear in Common Crawl via mentions on high-traffic, AI-indexed platforms.
You should prioritize:
- Wikipedia (cited heavily in pretraining datasets)
- GitHub, Stack Overflow, Reddit, Hacker News
- High-DA blogs and media outlets
- Quora, Medium, Notion public pages
- Niche industry directories (especially those scraped by AI)
These platforms are regularly ingested into LLM datasets, so getting cited on them increases your indirect visibility.
TL;DR: To rank on ChatGPT, you should exist in the places it learns from. That starts with Common Crawl but includes anywhere AI models extract data from.
6. Create evergreen and cite-worthy content
Ranking on ChatGPT isn’t just about keywords or backlinks, it’s about being worthy of citation by an AI model trained to surface useful, high-quality information.
And the best way to do that?
Build content that never goes out of style.
Why does evergreen content matter?
ChatGPT (and other AI systems too) prefer citing information that’s:
- Timeless: Continues to be relevant months or years from now
- Factual & referenceable: Explains core concepts clearly
- Structured & digestible: Easy for AI to parse and repurpose
- Trusted: Linked to sources, backed by real expertise
Evergreen content becomes part of the AI source layer, keeps resurfacing, getting referenced, and powering answers across queries and platforms.
What content types AI loves to cite?
Not all content is created equal in the eyes of AI. Here are the top formats that consistently get picked up, embedded, and cited:
| Format | Why It Works |
|---|---|
| How-To Guides | Step-by-step clarity. Perfect for summarization and reuse. |
| Glossaries | Clean definitions of industry terms. Valuable for contextual embedding. |
| FAQs | Mirrors natural language queries. Easy for AI to match against prompts. |
| Case Studies | Original insights + real-world application = high E-E-A-T. |
| Research/Data Reports | Authoritative. Models love statistics and unique frameworks. |
| Comparisons & Tool Lists | Used in recommendation answers (e.g., “best CRM tools”). |
| Checklists | Skimmable, structured content. Often turned into TL;DRs or snapshots. |
How to write for AI and human readers?
To ensure your content gets cited and converts, blend human nuance with AI-readability. Here’s how:
- Use consistent headings (<h2>, <h3>) with clear semantic structure
- Answer one question per section — avoid long rambles
- Include TL;DR or key takeaway summaries
- Use tables, bullet points, and short paragraphs
- Add examples, analogies, and frameworks that make the content unique
- Link out to trusted sources to boost credibility
- Update your content quarterly to maintain freshness signals
Pro tip: Write each article with this question in mind: “Would ChatGPT quote this as an answer?”
TL;DR:: If you want to rank on ChatGPT, create timeless, structured, valuable, and easy to quote. To that end:
- Invest in content that explains, defines, compares, and solves
- Make it skimmable and AI-parsable
- Update regularly and link with intent
- Add unique ideas and frameworks
7. Build a custom GPT or embed in RAG systems (optional)
While optimizing for citations in ChatGPT is crucial, one of the most powerful (and underused) strategies is to bypass traditional discovery entirely. And you can do so by creating or embedding your own content into the very systems users are querying.
Here’s how it works:
A. Create your own GPT (ChatGPT pro users)
ChatGPT Pro allows anyone to build a custom GPT, a specialized AI assistant tailored to a niche, topic, or use case.
Here’s how it helps you rank on ChatGPT search:
- You control the training context
- Your content gets surfaced as the answer
- You build brand recall inside the tool itself
Here’s are a few niche based example of how it work:
| Niche | Custom GPT Idea |
|---|---|
| Legal | “Ask a Small Biz Attorney” trained on your FAQs and blog |
| SaaS | “CRM Setup Coach” using your onboarding docs + help center |
| Fitness | “Ask Your Hustler Coach” for workout plans based on your guides |
B. Embed your content in RAG (retrieval-augmented generation) systems
RAG models retrieve answers from external knowledge bases at query time. This means you can feed AI models content you want them to use.
But to do so, you’ve to control or integrate with the source.
Here’s what you can do:
- Partner with AI apps using your data as source content
- Host embeddable datasets, docs, glossaries, or APIs
- Ensure your knowledge base is cleanly structured and crawlable
- Use tools like LangChain or LlamaIndex to deploy your own RAG-based bots
For instance, if you’re a SaaS brand, make sure your Help Center is:
- Crawled by Common Crawl
- Connected to GPTs via RAG pipelines
- Indexed with vector search engines (e.g., Pinecone, Weaviate)
C. Integrate with plugins, APIs and third-party tools
Besides OpenAI, other AI platforms support external content ingestion via:
- APIs let developers or AI models pull your data dynamically
- Zapier/OpenAI integrations make your data queryable
- Custom Slack or Notion bots that interact with your documentation
- Knowledge-sharing networks like Stack Overflow or GitHub (for dev tools)
If your brand powers a tool or workflow, make sure it’s accessible in AI-native environments.
Here’s a checklist to make your brand a part of the AI stack
| Action | Description |
|---|---|
| ✅ Create a Custom GPT | Use ChatGPT Pro to build an assistant that reflects your brand |
| ✅ Add structured data | Feed content to RAG or vector stores via structured knowledge |
| ✅ Embed in third-party GPTs | Partner with others or submit data for use in AI agents |
| ✅ Offer API access | Make your tools and data easy to plug into smart apps |
| ✅ Maintain clean, AI-readable knowledge bases | Use semantic markup, sitemaps, and schema |
In short: Ranking on ChatGPT is powerful. But becoming part of the response layer through Custom GPTs and embedded knowledge gives you persistent and branded visibility.
8. Monitor AI visibility and feedback loops
Ranking on ChatGPT or being cited in other AI assistants isn’t a one-and-done effort. Instead, it’s an ongoing game of visibility, feedback, and refinement.
Once your brand is optimized for AI search, it’s time to track how and where you’re showing up and adapt based on what you find.
Here’s how you can do so:
A. Ask the AIs directly
ChatGPT
- Ask: “What do you know about [Brand Name]?”
- Try queries users might use to discover your service.
- Use ChatGPT-4 with browsing enabled for the most up-to-date insights.
Why does it work:
LLMs don’t just search, they synthesize. How your brand is summarized reflects how well your authority and structure are being interpreted.
Perplexity.ai
- Search for your brand, products, or key topics.
- Pay close attention to the “Sources” section in the answers.
- Look for direct citations, URL links, and summaries resembling your web copy
Claude (Anthropic)
- Ask questions related to your domain or brand.
- Claude often “remembers” broader context which is useful for visibility tracking.
B. Monitor snapshots and AI summaries
Monitoring snapshots and AI summaries gives you practical insights. Here are some tools you can use to do so:
- Glasp: Highlights how your pages are cited or excerpted.
- ChatGPT Browsing History to see what URLs GPT visits for answers.
- Chrome extensions like SGE SERP Analyzer for Google AI Overviews.
Pro tip: Re-run queries monthly to see if you’ve gained or lost visibility.
C. Build your own AI visibility dashboard
You can build your AI visibility dashboard by combining:
- GPT API to auto-query brand visibility questions
- SERP tracking tools (like Semrush, Ahrefs) for traditional SEO overlap
- Mentions tracking tools (e.g., Brand24, Mention) for social & web buzz
- Perplexity API (beta) for source tracking
Also, you should set up alerts for:
- Brand name mentions
- Keyword + brand citations
- AI snippet changes
Bonus: Watch out for the following signals
| Signal | What It Tells You |
|---|---|
| You’re cited but not linked | Add structured data or clarify context |
| Brand not showing in ChatGPT | Improve entity mentions + third-party citations |
| Incorrect info in AI answers | Publish glossary/FAQ to correct it semantically |
| Competitors outranking you in AI | Study their structure, citations, and schema use |
Bottom line: AI visibility is dynamic. The best brands don’t wait to be discovered, they validate their presence across AI tools, just like with search engines.
Checklist to check and improve AI visibility
| Task | Tool/Method | Purpose |
|---|---|---|
| Check if you’re cited | Ask ChatGPT or use Perplexity.ai | See if your brand/content appears |
| Track citation changes | Re-run queries monthly | Monitor ranking volatility in AI answers |
| Audit crawlability | robots.txt + site audit | Ensure GPTBot and Common Crawl can access you |
| Monitor brand mentions | Brand24, Mention, Glasp | Track summaries, paraphrased use, and visibility |
| Fix AI misinformation | Publish glossary, FAQ, and About pages | Give LLMs consistent and accurate references |
Final takeaway
How is AI keyword research different from traditional SEO?
Ranking on ChatGPT is no longer about optimizing for algorithms alone, it’s about earning trust at scale. After all, you’re not just chasing position #1 on a traditional SERP; you’re becoming the answer itself.
To do that, your brand must exist at the intersection of authority, structure, and semantic clarity. You need to be:
- Cited consistently across trusted platforms
- Structurally optimized for language models to parse and repackage your content
- Contextually relevant, tied to topics and terms that define your niche
- Technically visible, indexed in foundational LLM sources like Common Crawl
- Strategically proactive, monitoring how AI tools describe and represent your business
When AI knows you, trusts you, understands you, and features you.
Got more questions or need to optimize your website for ChatGPT rankings?
Get in touch with us!
At Your Hustler Inc., we are at the forefront of AI optimization helping businesses like yours win AI visibility. We help you get measurable ChatGPT gains and make your business thrive.
Frequently asked questions about ranking on ChatGPT search
Does ChatGPT pull real-time web data?
By default, ChatGPT (GPT-4) does not access the real-time web, unless using the “Browse with Bing” feature available to Plus users or a Custom GPT with plugins or APIs.
However, it draws from a vast pool of pre-trained data, including websites indexed in Common Crawl, Wikipedia, GitHub, and public forums.
How often is the ChatGPT model updated?
OpenAI updates its core models periodically.
For instance, GPT-4 was released in March 2023, and new training cycles may roll out semi-annually or annually.
However, browsing and plugin-based models can access live data continuously.
Can small businesses rank on ChatGPT?
Absolutely!
In fact, local and niche businesses often stand out when their content is structured, clear, and well-represented across directories (Google Business Profile, Yelp), review sites, and forums like Reddit.
How do I know if my brand is being cited?
Ask ChatGPT using prompts like:
- “What do you know about [Your Brand]?”
- “Who are the top [industry] experts in [city]?”
- “Which tools help with [specific task]?”
Also, try tools like:
- Perplexity.ai (check citations)
- Google’s SGE (Search Generative Experience) snapshots
- Brand monitoring tools (Mention, Brand24, etc.)
Is ChatGPT replacing SEO?
ChatGPT is not replacing SEO, it is evolving it.
Traditional SEO focused on SERP rankings; AI search focuses on entity understanding, brand trust, and semantic authority.
In today’s landscape, SEO = Search Everywhere Optimization. And ranking on ChatGPT is part of that larger visibility puzzle and critical for future-proofing your brand.
