How to Get Cited in Arc Search Browse for Me

By UpGeo · 2026-09-01

Want to get cited in Arc Search’s Browse for Me answer summaries? Put a direct 40–70 word answer right under the H1, then organize the rest of the page around question-based H2 and H3 headings. Article and FAQ schema matter, as does crawl access for Arc Search’s crawler. Keep the page fast and server-rendered, and use an llms.txt file to point AI agents to your most citable URLs. That combination gets you into the candidate set — and makes your passage the easiest one to quote.

This is Generative Engine Optimization (GEO) applied to a mobile AI browser: you optimize for extraction and citation, not just clicks.

How Arc Search Browse for Me selects sources

When you search, Browse for Me fetches a small set of relevant pages, pulls out specific passages, and writes a summary with source chips. You are competing for one of 3–6 citation slots, so most pages never make the cut. Two things separate the cited pages from the rest:

1. Candidate selection: the page already has to rank among the strongest conventional search results for that query.
2. Extraction quality: the page needs a clear, self-contained answer that can be lifted without extra context.

No surprise: organic visibility is the strongest predictor of citation across AI answer engines. A 2024 Seer Interactive analysis of Google AI Overviews found 75% of cited links already ranked in the top 10 organic results. So treat traditional search ranking as the floor, not the goal.

1. Put the answer first

Start with a quotable 40–70 word summary block directly under the H1. Give the specific answer before you add background or context.

Example query: “best running shoes for flat feet”
Citable answer: “For flat feet, choose a stability shoe with a firm heel counter and moderate arch support. Brooks Adrenaline GTS 23, ASICS Gel-Kayano 30, and Saucony Guide 17 are three top picks because they control overpronation without excessive stiffness.”

Concrete numbers, names, and dates work better than vague adjectives. AI models tend to quote specific tokens, not phrases like “great” or “leading.”

2. Structure for passage extraction

• Turn H2 and H3 headings into natural-language questions. For example, “What is Arc Search Browse for Me?” beats “Feature Overview.”
• Keep sections under 100 words and start with the key sentence.
• Lists, tables, and comparison boxes summarize more reliably than long paragraphs.
• A “Quick answer” or “TL;DR” section near the top helps when a query carries multiple intents.

3. Add machine-readable context

Arc Search and other AI agents read raw HTML and metadata, so these signals matter:

• Article or FAQPage schema can label the main entity and question/answer pairs.
• Speakable schema works for informational answer paragraphs.
• Title tags and meta descriptions should mirror the query language.
• An llms.txt file declares your most important pages. Read the llms.txt guide or create one with UpGeo’s free llms.txt generator.

4. Let Arc Search’s crawler access your content

Don’t blanket-block AI crawlers. Check your server logs for Arc Search’s crawler user agent — often reported as ArcBot — then confirm robots.txt doesn’t disallow it. If you run a bot management platform, add an allow rule for that agent. For other AI crawlers, this AI crawlers list helps keep robots.txt current.

One more thing: don’t hide the core content behind JavaScript interactions. If the answer only loads after a click or API call, AI extraction often misses it. Server-render the main body, or use dynamic rendering for critical content.

5. Build topical authority

Answer engines favor pages that other credible sites already point to. To improve your odds:

1. Earn links from trusted sites in the same niche. AI summarizers often reuse source clusters.
2. Publish original data, first-party testing, or unique screenshots that can’t be paraphrased from elsewhere.
3. Keep your entity profile consistent: same brand name, author, and topic focus across your site and major directories.
4. Show a visible “Last updated” date and update log. Freshness is a common AI trust signal.

6. Optimize for the summary window

AI summarizers tend to truncate pages or focus on the first few hundred tokens. Put the critical answer in the first 500 words, then expand. Avoid cookie walls, newsletter popups that sit on top of core content, and thin pages with almost nothing to extract.

Optimization	What to do	Why it helps for Arc Search
First-paragraph answer	40–70 word direct answer under H1	Becomes quotable source text
Question headings	H2/H3 matching natural-language queries	Improves passage retrieval
Schema	Article, FAQPage, Speakable	Clarifies content type and answer
Crawl access	Allow ArcBot in robots.txt	Keeps page in the candidate set
llms.txt	List key URLs and summaries	Helps AI crawlers prioritize pages
Page speed	LCP under 2.5s, server-rendered	Improves fetch and render success

7. Test and iterate in Arc Search

Run your target queries through Browse for Me and note which pages get cited. When your page shows up as a source, record the query, the extracted passage, and the source chip. If your page ranks in traditional search but still isn’t cited, rewrite the opening paragraph to match the query more closely, shorten the section that holds the answer, and test again.

The goal isn’t broad “AI ranking.” It’s being the clearest, fastest, most extractable source on a page that already earns trust.