If you have ever typed your own category into ChatGPT or Perplexity and watched a competitor's framing come back instead of yours, this guide is for you. It walks a marketing lead through building one brand narrative AI answers can actually lift: the origin, the category you belong to, and what makes you different, written so an engine can quote it and know whose story it is telling. The short version of the goal is to own your category narrative AI engines currently hand to someone else. By the end you will have a canonical page, a way to make its claims quote-ready, and a repeatable test for whether it worked.
Map the buyer questions and the competing frame
Before you write a word of the narrative, find out what AI engines are currently saying about your category and who they credit for it.
Start with a list of the questions a buyer actually asks before choosing something in your space. Mix in broad category questions ("what kind of tool solves this"), comparison questions, problem questions, and decision-stage questions like "which providers handle this use case." Skip the generic prompt like "tell me about my company." That gives you a vague brand audit instead of the moments where category framing decides a sale.
Run each question through the AI engines your buyers actually use. For every answer, write down whether your brand is named, which competitors show up, which category terms the answer reaches for, which pages get cited, and whether the framing you'd use to describe yourself is anywhere in the response. This record is what you'll compare against once your narrative is live, so save the exact prompt wording and the full answer text rather than a summary. Paraphrasing later hides the gap between being named and actually shaping what gets said.
This is also where you learn the specific competitor framing your narrative needs to displace. If three competitors are getting credited with "the modern way to do X" and you are the one who actually built that approach, that's the tension your category statement has to resolve. The point of everything in this guide is to get AI to cite your framing instead of theirs, and this step is where you find out exactly whose framing you're up against.
DeepSmith's AI Visibility tracks a defined list of buyer prompts, or you can use Discover Prompts to generate a starter set from your product, persona, and buyer stage. It shows the mention rate, citation rate, and the full answers behind those numbers for each platform you track. Treat it as the measurement layer for this step, not a way to force a citation. No tool changes what an engine chooses to quote.
Common mistake: starting from "what does our company do" instead of the buyer's actual language. A prompt list built from your own vocabulary will miss the exact questions where competitors are currently winning the framing.
Gather the facts your narrative can stand on
A brand narrative that AI can quote and attribute has to be built from claims you can actually back up, not a polished version of how you'd like to be seen. Good brand storytelling AI search engines are willing to lift starts here, at the fact level, long before you write a single narrative sentence.
Before you draft anything, build a plain fact inventory. Cover the founding trigger, the customer problem you set out to solve, the limitation in the old way of doing it, the category you belong to, who you serve, your distinctive approach, the product capabilities that support that approach, real milestones, and any customer examples or original data you're allowed to publish. For each item, note where it came from, who owns it, and whether it's safe to make public. Keep verifiable facts separate from internal beliefs or the version of the story marketing would prefer to tell.
Watch the line between a differentiator and a fact. "We are the most trusted name in the category" is a positioning claim, not a fact, and an AI engine has no way to verify it. "The product tracks citations across five named AI platforms" is a fact, because it's specific and checkable. Your narrative will be more citable if it leans on the second kind of statement.
Deep IQ, DeepSmith's brand context layer, stores your product, persona, and approved claims so a generated draft stays grounded in what your company can actually say. It's a way to keep a narrative consistent with your real facts once you're producing at volume, not a substitute for doing this verification work up front.
Pro tip: finish this step before you write a single sentence of narrative. A story drafted first and fact-checked after tends to keep the flattering claims and quietly drop the ones you can't defend, which is backwards.
Choose your central tension and category frame
Pick one primary tension for the story to resolve. Supporting details can come later, but don't ask a reader, or an AI engine, to piece together why your company exists from a scattered list of facts.
Write two working sentences. A tension statement: the customer needs some outcome, but the current approach or category makes it hard because of a specific limitation. A category statement: your brand is a recognizable category, for a specific audience, that addresses that tension through your distinctive approach. Then add the contrast that makes the position memorable: unlike the default approach, your brand does something specific, so the customer gets a specific result.
Use a category term buyers and other sources already understand. If you're trying to define or redefine a category, explain the familiar problem first, then introduce the new term in plain language. A coined label that nobody explains won't get picked up, because an engine can't confidently attach an unfamiliar word to your brand without context.
A reader who has never heard of your company should be able to finish this section and state, in their own words, what category you're in, who you serve, what problem you solve, and how you differ from the obvious alternative. If they can't, the category frame isn't done yet, and you won't own your category narrative AI answers currently hand to someone else until it is.
Common mistake: letting the category claim rest on a slogan. A slogan can support a narrative, but it's almost always too compressed for an AI engine to extract and use as a definition on its own.
Draft a narrative page that stands on its own
Write the page so any single passage can be lifted out and still make sense without the rest of the article around it.
A practical order to follow: open with a direct answer to "what is this brand and why does it exist," naming the organization, the category, the audience, and the main point of difference in the first paragraph. Then explain the customer tension. Then the origin, the real event or observation that led to the company. Then what you built or changed in response. Then what became possible for the customer. Then your differentiators, each tied to a specific customer benefit and some evidence for it. Then how you understand your category today. Close with a compact summary paragraph that restates the whole story in a form that could be quoted on its own.
The opening paragraph carries the most weight. It should answer what the brand is before it asks anyone to follow a longer story, and it should use your actual organization name rather than opening with "we" or an unexplained product name. Write it the way you'd want brand storytelling AI search engines to actually quote it back, meaning plain, specific, and complete on its own.
If you're using an AI production system to move from a planned outline to a full page, Content Studio can take a planned idea through research, drafting, internal linking, and publish-ready formatting in your brand's stored context. You still review what it produces before it goes live. The point of using a pipeline like this isn't to skip the thinking in the steps above, it's to stop treating a generic first draft as finished work and get to a reviewed page faster.
Done when: a reader can understand every important claim in your opening paragraph and closing summary without reading anything else on the page. If the category, audience, origin, tension, and main difference aren't all explicit there, the draft isn't done.
Make each passage easy to quote and attribute
Now go back through every paragraph that makes a claim you want an AI answer to use, and check it against a short list.
Is the paragraph self-contained. Does it name your organization specifically. Is the category and subject explicit rather than implied. Is the language ordinary and unambiguous, free of pronouns whose antecedent isn't clear and jargon the page hasn't defined. Does it focus on one claim, or a tightly related group of claims, rather than several unrelated ones crammed together. Is there a nearby explanation, example, or piece of evidence backing it up. And is it clear whether the sentence is a fact, a customer outcome, or a positioning opinion, because an engine that can't tell the difference may present an opinion as a fact, which is worse for you than not being cited at all.
Keep your official brand name in the page title, the opening paragraph, the closing summary, and the section headings that need it. If you have a commonly used alternate name, explain the connection once so nothing gets orphaned. Write headings that describe what's underneath them plainly: "why we exist," "the problem we set out to solve," "what we do differently," "the evidence behind our approach." Don't try to turn every sentence into a keyword variation. A page that reads naturally and covers the ground completely will earn more citations than one stuffed with repeated phrases.
Save the compact summary paragraph for last. Once the whole story is clear in your head, you can compress it into the exact paragraph you'd want an engine to quote if it only pulled one passage from the page. That paragraph is your best shot at a brand story AI citation actually points back to, so it deserves the most editing attention of anything on the page.
Publish one canonical version and back it with entity signals
Put the narrative on a single, stable, first-party page. An About page, a company story page, or a clearly owned page that will stay in place over time all work.
The page needs a descriptive title with your organization's name and the page's purpose, a visible opening definition, the full narrative as readable text rather than locked inside an image or video, a clear link back to your main site, internal links in from relevant product and editorial pages, and supporting references for any claim that needs one. Google's own guidance on AI features says the normal SEO fundamentals still apply here: a page has to be indexed and eligible to appear in search with a snippet before it can be eligible as a supporting link for an AI answer at all. There's no separate AI-only file format or special markup that gets around that requirement.
Where it applies, add Organization structured data to your homepage or the page that describes your company, using the same name and description your visible page actually shows. Google documents properties like name, url, logo, description, and sameAs for related profiles elsewhere. This markup helps a search system disambiguate who you are administratively. It does not guarantee that any AI feature will display it or that an engine will cite the page because of it, so treat it as an identity aid, not a citation lever, and never let the markup claim something the visible text on the page doesn't say.
DeepSmith's platform for AI search visibility gives you a way to check whether a page like this is even being found once it's live, which matters more here than almost anywhere else on your site.
Done when: the page is publicly accessible, crawlable, linked from other pages on your site, readable as plain text, submitted through your normal indexing process, and consistent with how your organization presents itself everywhere else.
Repeat the same story, never a different one
Once the canonical narrative is live, reinforce it across the other places your brand legitimately appears: founder interviews, company profiles, partner pages, conference bios, press coverage, industry profiles, professional and social profiles, and published customer stories.
The wording doesn't need to match word for word across every surface. What has to hold steady is the organization name, the category, the origin, the audience, and the main differentiator. If those shift from page to page without a clear reason, you're making it harder for anyone, human or AI, to know which version of you is the real one.
Use your first-party page for the canonical version and everywhere else for independent context and validation. Resist the urge to spin up a pile of near-duplicate pages just to repeat the story more times. Google's own guidance on AI-generated content stresses accuracy, quality, relevance, and originality, and treats mass-produced pages that add no new value as a policy problem, not a growth tactic. Corroboration works because it's independent, not because it's repeated.
Common mistake: asking every partner, directory listing, or employee profile to phrase your category claim slightly differently "for variety." Consistency is what lets an engine connect the dots. Variation just adds noise.
Test whether AI actually uses your narrative
Go back to the exact buyer prompts you saved in step one and run them again now that your narrative page is published.
For each answer, check three separate things. Discovery: did the engine find or cite the page at all. Use: did the page's language, evidence, or structure actually show up in the answer, not just a link in a source list. Attribution: did the answer connect that information back to your brand or your page by name. These are genuinely different outcomes, and treating a citation as proof that your framing won is a mistake. A study analyzing more than 21,000 citations across ChatGPT, Google, and Perplexity found that how often a page gets cited and how much it actually shapes the generated answer move independently of each other, so a link in the source list is not the same as your wording showing up in the response.
Look for whether the answer uses your category description, whether it reflects your explanation of the customer problem, whether it reproduces your differentiator accurately, and whether a competitor's framing is still the dominant one even where you do get named. A real brand story AI citation shows up in the wording, not just in a link at the bottom of the answer. None of this is a one-time check. Answers shift as engines update, so treat this as a recurring test, not a launch-day verification.
DeepSmith's AI Visibility module captures full answers on a schedule, so you can see which of your pages get cited, which prompts drive that, and where a competitor's page is still standing in for yours. It turns this step from a manual spot check into something you can run every week without re-copying prompts by hand, so you always know whether the brand narrative AI answers give back is actually yours, or still someone else's framing.
What to do next
Publish one canonical narrative page. Link to it from the pages on your site where it's genuinely relevant. Then run your buyer prompts against it and watch what actually changes. You won't get a guarantee that any engine quotes a specific sentence, but a self-contained, well-sourced narrative with a clear category claim is still the best way to get AI to cite your framing instead of a competitor's, and it's the only way to own your category narrative AI answers reach for by default.
If you want to see how AI engines currently describe your brand, which of your pages they already cite, and where a competitor's framing is winning instead of yours, DeepSmith's free trial gives you real data and real drafts before you pay.
