How do I create content AI will cite?

AI engines cite content that looks like a clear, citable answer on a domain they already trust — your job is to be that page, on those domains. Content Studio runs the whole loop: find the gap, brief the article, write a section-by-section draft with live quality tracking, distribute it where models look.

Step 1 — Start from a gap, not a topic

Open your Visibility report and pick one prompt × one model where you're absent and a competitor is cited. That's the article to write — not a generic topic page.

In Content Studio, the From a content gap entry on the brief creator takes that prompt directly and turns it into a brief with the gap already framed. (Other entries — AI + SERP analysis, existing brief, from scratch — are options when you don't start from a measured gap.)

Step 2 — Trace the cited sources

For the same prompt, open the Sources tab and read the third-party domains the model cited. Two things matter:

What kind of page is the model picking? Comparison list, review, deep how-to, original benchmark. That's the format your article needs to match or beat.
Which domains are the model's "shortlist"? Those are your distribution targets — see Step 5.

Step 3 — Brief the article around the question

In the brief, four enrichments make the article citable rather than generic:

Persona — describe your buyer's role, sector, pains, goals. Re-used across briefs; tunes the writer's tone and examples.
Expert insight — pull one or two answers from an internal expert. Models cite content that reads like it has authority; expert quotes carry that authority on the page.
Brand attributes — the positioning, pricing, and features GetMint reads from your domain. Keeps the brand description consistent.
Target prompt — the actual question you're answering. Let the writer phrase the answer-first paragraph around it.

Step 4 — Write to be cited, not to rank

The Content Studio writer builds the article section by section, with live tracking on three things:

Lexical score — coverage of the expected terms for the topic.
Brand mentions — verified automatically.
Sources — clickable and verifiable; if a source can't be opened, the writer flags it.

A few authorship choices that move citation rates:

Answer-first. The first 1–2 sentences after each H2 should answer the question directly. AI engines lift those lines verbatim.
Crawlable. No JavaScript-only content. See Verify AI tools can read your pages if you're unsure.
One question, one page. Don't fold three buying questions into one article — the model picks one URL per question.

Step 5 — Distribute where models already look

Publishing on your site is the table-stakes step. The compounding step is earning placements on the third-party domains the Sources tab surfaces — review sites, comparators, industry media. Content Studio's distribution layer routes drafts to a partner network (150,000+ outlets) so you can place the same point of view on the domains models consult.

Step 6 — Re-measure, don't re-publish

After 4–8 weeks, re-open the same Visibility report on the prompt you targeted. The right signal is a per-model line that moves — Perplexity and Gemini (live-web) often move first; ChatGPT lags. If nothing moved, the gap is on a different lever (a domain you haven't earned coverage on yet); pick the next gap and repeat.

Key takeaways

One prompt × one model is the unit of work — not a topic, not a campaign.
The model's cited sources tell you the format and the distribution targets; let them dictate the brief.
Answer-first writing on a crawlable page is the on-page lever; placement on the domains models trust is the off-page lever — both matter.
Re-measure on a 4–8 week loop, not weekly.