A growing share of buyers never see a list of blue links anymore. They ask ChatGPT, Perplexity, Google's AI Overviews, or Claude, and they get one answer built from a handful of cited sources. If you're one of those sources, you win the question. If you're not, you're invisible, no matter how well you'd have ranked on a traditional results page.
Getting cited by an answer engine is a different game from ranking a blue link, and most sites are optimizing for the wrong one. Here's how the assistants actually choose their sources, and the concrete moves that get you into that set.
How answer engines pick their sources
Every major assistant works roughly the same way when it answers a factual or commercial question: it retrieves a small set of candidate pages from a search index, reads them, and synthesizes an answer with citations. Three things decide whether you're in that candidate set:
- You're in the index it reads. ChatGPT's browsing and a lot of assistant retrieval run on Bing's index, not Google's. If Bing hasn't crawled your page, you don't exist to those tools. This is the single most overlooked lever.
- Your page is machine-readable. Clean HTML, clear headings, direct answers near the top, and structured data all make it easier for a model to extract a quotable claim from your page.
- You're a credible, corroborated source. Assistants favor sources that agree with other sources and carry authority signals. Getting mentioned and linked across the web still matters; it's how the model gauges that you're trustworthy.
1. Get into Bing's index fast: it's the AI back end
Because so much assistant retrieval leans on Bing, speed of Bing indexing is the highest-leverage thing you can fix. A new page that Bing picks up today can be cited by ChatGPT this week; one that takes three weeks to crawl misses the entire window while a question is hot.
The mechanism that closes this gap is IndexNow, an open protocol that pings Bing the moment you publish or update a page, instead of waiting for a crawl. On most platforms you add it with a plugin and some configuration. On BrightSite, it's on by default for every site: publish a page and participating engines know within minutes. That's the shortest path into the index the assistants read.
2. Make your pages easy for a model to quote
Assistants extract answers, so structure your content to be extractable:
- Answer the question directly, early. Lead a section with the claim, then support it. Models lift the clear sentence, not the buried one.
- Use real headings and short paragraphs. Semantic structure helps a model find and attribute the relevant passage.
- Add structured data. FAQ, Article, and Organization schema give machines an unambiguous read of what your page says and who's saying it.
- Keep the markup clean. Server-rendered HTML is trivially readable; heavy client-side pages are not. BrightSite renders every page server-side, so there's nothing to configure here.
3. Build corroboration, not just links
Answer engines lean toward sources that other sources agree with. That means the old work still counts, reframed: get mentioned in roundups, comparisons, and discussions where your category is debated. Be the site that states a clear, checkable fact others echo. Consistency across your own pages helps too. An assistant that sees the same claim, stated the same way, across your site treats it as more reliable.
4. Track whether it's working
You can't manage what you don't measure. Ask the assistants your target questions directly and see who gets cited. Watch your Bing referral traffic and crawl activity. And monitor branded and category prompts over time. Being cited is the new ranking, and it moves.
The foundation most sites are missing
Structure and corroboration are ongoing work, but they're wasted if the assistant's index never sees your page in time. That's why the fastest win is the plumbing: get published pages into Bing's index the moment they go live. BrightSite ships that plumbing (server-side rendering, clean markup, schema slots, and automatic IndexNow) on every plan, from $39/mo. See the full set on the features page, or read how instant indexing works.
Keep reading
Go deeper on the specifics: how to rank on ChatGPT breaks down the retrieval mechanics, AEO vs SEO explains how this differs from ranking on Google, and what is llms.txt covers the emerging AI-readability standard.