Create Content
Most people see "AI content tool" and assume blog post generator. Create Content isn't that, and if you walk in with that frame you'll be disappointed by the wrong thing.
This is content infrastructure built for AI consumption. You pick a question you want to be cited for, point Create at it, and it produces a structured article designed to be parsed, extracted, and quoted by the models that are answering your buyers' questions today. The output reads cleanly for humans too, but humans aren't the primary judge anymore. ChatGPT, Perplexity, Gemini, and the rest are.
If you only remember one thing: the goal is not to write the best post on the topic, it's to be the source AI reaches for when someone asks the question. Those are different jobs, and they produce structurally different content.
Content for AI is a different shape
A traditional SEO post is built around a keyword. The job is to rank a page in a list of ten blue links, and the structure that works (long intros, narrative flow, "in this article we'll cover") was tuned for human readers scrolling and clicking.
AI doesn't scroll. A model crawling your page is looking for the smallest extractable answer to a question it's about to synthesize for someone. If your post buries the answer under 400 words of context, it gets passed over for a page that puts the answer in the first 50 words and tags it with a clean heading.
Same topic, different shape:
A piece built for AI is heavier on declarative claims, tighter on hedging, and structured in chunks that each stand on their own. That's what Create produces by default, and it's why a 1,200-word AI-shaped article often out-cites a 3,000-word SEO-shaped one.
How a piece gets made
The workflow is short, but each step does specific work.
1. Pick a question
The input isn't a topic, it's a prompt. The same kind of question you track on the Prompts page.
You can write a question by hand, or pull one from the Ideas tab, which surfaces prompts where your visibility is weak and a piece of content would plausibly move it. Most of the time Ideas is the right entry point: it does the work of picking battles for you, ranked by gap size and estimated demand. See Finding What to Write for the full story on how those opportunities are scored.
2. Choose a template
Trakkr ships seven templates, each tuned to a class of AI query. The template decides what sections the article has, what order they're in, and which ones get extracted as schema.
| Template | Best for | Why AI likes it |
|---|---|---|
| Comparison | "Best X for Y" queries | Tables and verdicts are easy to extract |
| How-To | "How do I X?" queries | Numbered steps map cleanly to instructions |
| Explainer | "What is X?" queries | Definitions and TL;DRs are quotable |
| FAQ | High-intent question clusters | Q&A pairs map 1:1 to prompt shapes |
| Problem-Solution | "X not working" queries | Cause and fix is the answer pattern AI gives |
| Research | Data and statistics queries | Quotable numbers earn citations |
| Case Study | "How did [company] do X" queries | Concrete metrics and replicable steps |
If you're unsure, the guided picker takes a question and recommends the template. You can also build a custom template in Structure That Works.
3. Add what you uniquely know
A generated article is only as good as the raw material you feed it. Generic in, generic out.
Two inputs shape the draft:
- Knowledge is your unique material: original data, expert quotes, proprietary methodology, customer numbers, internal frameworks. Anything a competitor can't write because they don't have it. Pulled into the article wherever it fits the template.
- Writing Style is your voice: how you phrase things, what vocabulary you use, what you'd never say. Trained on samples of your existing writing.
You can generate without either, and the output will still be structurally correct. But the difference between a Knowledge-fed article and a cold one is the difference between "yet another comparison post" and "the post AI cites because nobody else has the data."
4. Generate
Create streams the draft block by block, usually 60 to 90 seconds for a typical article. While it writes, it's:
- Pulling from your knowledge base where relevant
- Matching your writing style
- Building the structured sections the template specifies
- Generating JSON-LD schema (Article, FAQPage, HowTo as appropriate)
- Scoring its own output for citation likelihood
When it finishes, you get a draft in the editor with every block editable, plus a citation-likelihood score and a list of suggested lifts.
5. Publish
Trakkr is not a CMS. The published article lives wherever your content lives: WordPress, Webflow, Ghost, your own site. You either:
- Export as Markdown or HTML and paste it in
- Push it via a connected publishing integration
- Get a live URL back from your CMS and paste it into Trakkr so we know where to measure
The last step matters. Once published_url is set, Citations starts watching that URL across all eight AI models. Without it, you've written content but you don't know if it worked.
What makes content AI-friendly
The template handles the broad strokes. Inside each section, there are smaller choices that decide whether AI will extract and cite a passage or skip past it.
Patterns that earn citations:
| Do | Why |
|---|---|
| Lead each section with a declarative sentence | AI extracts opening lines disproportionately |
| Use specific numbers and named entities | "4.2 hours" beats "a few hours"; "Stripe, Adyen, Checkout.com" beats "various processors" |
| Write Q&A blocks that mirror real prompts | The match between your H3 and a user's question is what gets you cited |
| Cite your sources visibly | Models follow citation chains; an unsourced claim is a weaker citation than a sourced one |
| Use tables for any comparison | Tables are the densest extractable structure on the web |
| Repeat key entities by name, not pronouns | "Stripe" beats "the company" or "it"; AI's entity resolution is imperfect |
Patterns that get skipped:
| Don't | Why |
|---|---|
| Open with throat-clearing ("In today's fast-moving world...") | AI skips fluff to find the answer, and so does everyone else |
| Hedge every claim ("might," "could," "perhaps") | Hedged claims are uncitable; models prefer the source making the cleanest statement |
| Use clever headlines without keywords | AI matches H2 and H3s to the prompt; a pun doesn't match anything |
| Bury the answer in a six-paragraph intro | See the 50-word rule |
| Generate with no Knowledge or Style | You'll produce a perfectly average article that AI has no reason to pick over the other 50 perfectly average articles on the topic |
How to know it worked
You don't learn anything from publishing. You learn from watching what AI does next.
Two places to look:
- Citations tracks every URL on your domain that AI models cite, scanned daily. New articles usually start appearing within a few days to a couple of weeks, depending on indexing speed. If you set
published_urlon the article in Trakkr, Citations links rows back to the piece directly. - The prompt you targeted in your Prompts list. If you wrote the article to win "Best CRM for B2B SaaS," watch that prompt's score for the next 30 days. The cleanest proof: prompt score moves and Citations shows your article as the source.
If you've published five articles and none of them moved their target prompts in 60 days, the problem is upstream of Create: probably weak Knowledge inputs, or the wrong prompts to begin with. Run Diagnose on the prompt and it'll tell you what's missing.
Single articles vs campaigns
Two modes, two jobs.
Single articles. One prompt, one piece. Use this when you have a specific question you want to win and you're going to put real effort into the inputs (Knowledge, Style, custom template). Most of your best pieces will be single articles.
Campaigns. A theme, generates a batch of related articles across variations of a prompt. Use this when you have a category-shaped gap, like "we're invisible across mid-market HR-tech comparisons," and you want coverage at volume rather than one perfect piece.
A reasonable rhythm: a small number of high-effort single articles per month for your strategic prompts, plus a campaign or two per quarter to fill out coverage in a category. Don't run campaigns for every gap, the average quality falls faster than the citation rate rises.
Common questions
Is this just ChatGPT with extra steps?
No, and the difference is the inputs. A blank ChatGPT prompt produces generic content because it has no context. Create wires together your knowledge base, your writing style, the template structures AI models actually cite, and the prompt you're targeting. The model doing the writing is similar; the surrounding system is the product.
Can I just write the article myself?
Yes, and many people do. The published URL is what gets measured by Citations, and Trakkr doesn't care whether the words came from Create, a human writer, or a different tool. Use Create when you want the structural and Knowledge benefits; write it yourself when you want full hand-crafted control over a piece.
How long does generation take?
Usually 60 to 90 seconds for a typical article. Longer for larger word targets or unusually big knowledge inputs. The editor opens immediately and blocks stream in as they're written, so you can read the early sections while later ones are still being generated.
What happens to my article credits if generation fails?
The credit is refunded automatically. You only pay (in credits) for articles that complete successfully. Failed runs are logged so you can retry without re-spending.
Do I have to publish through Trakkr?
No. Publish wherever you publish, then paste the live URL back into Trakkr. The URL is the only thing Citations needs in order to track the article's performance. If you have a CMS integration connected, the URL gets captured automatically.
Why don't I see my article in Citations yet?
Citations pulls daily, but the AI models themselves only see your article once they've crawled or indexed it. New URLs typically take a few days to a couple of weeks to start appearing. If it's been more than 30 days and the article still isn't showing, the page may have an indexing issue: check AI Crawlers to see whether AI bots have actually fetched it.
Can I edit the article after generation?
Yes. The editor is fully editable, block by block. Edits don't re-trigger generation, they save to the same article. You can also regenerate individual blocks without touching the rest of the article if a section came out weak.