How to get a new local website into Google News and AI search results
The concrete steps to get a new local site indexed and cited by Google and AI assistants, what matters most, and what you can do by hand for free.
- Clean structure, steady publishing, markup and crawler access do most of the work
- Structured data tells search engines and AI assistants what each page actually is
- A crawler guide file opens the site to the AI tools that answer local questions
- Most of the process can be done by hand with no paid tool
The launch went fine. The site is live, three stories are up, and a week later the publisher types the town's name plus the story's topic into Google. Nothing. The competitor's site shows up, and when the same question goes into ChatGPT, the assistant quotes that competitor too. Every new local publisher has had this exact afternoon.
Getting into Google News and AI search results is a repeatable process: clean site structure, consistent publishing, structured markup, and open doors for crawlers. Most of it can be done by hand, and none of it requires a guarantee anyone cannot make.
Why search engines and AI assistants find some local sites and not others
Google remains the place most desktop searches start, which is why indexing there still comes first. But AI assistants now answer many local questions directly, and they reward the same basic things search engines do: pages they can parse, facts they can verify, and a site that keeps producing new material. A search engine reads a page and tries to work out what it is. An AI assistant answering a local question goes further and quotes sources it can parse and verify. A story that says who wrote it, when it ran and where the facts came from is citable. A story that says none of those things is not, no matter how good the reporting was.
That is why structure comes before volume. A site with forty well-structured pages will outperform a site with four hundred walls of text, because the machines can tell what the first site's pages are and cannot tell what the second site's pages are.
What the process actually involves
Structured data is a standardized way of labeling page content, a set of machine-readable tags that tells a search engine or an AI assistant exactly what it is looking at: this is a restaurant, these are its hours, this is the author, this is the date the story ran. On a local site, every business, article, author and place page should carry it. Each site should also ship with a guide for AI crawlers, a file that helps AI tools read the site, so the assistants that answer local questions can find their way around.
The publishing side matters just as much. Sources, dates and authors on every story are what an assistant needs before it will attribute a claim to a publication. And fresh local coverage matters because it is what national sources cannot keep current.
The steps, by hand
- 01Verify the site
Add the site to Google Search Console and confirm ownership, so Google knows the site exists and reports indexing problems.
- 02Submit the sitemap
Publish a sitemap listing every page and submit it, so Google does not have to discover pages by luck.
- 03Mark up every page
Add structured data to each business, article, author and place page, labeling hours, addresses, authors and dates.
- 04Open the door to AI crawlers
Add a crawler guide file and set access for the AI tools that answer local questions.
- 05Publish on a schedule
Put up sourced, dated, bylined stories consistently; fresh local coverage is what assistants cite for local questions.
- 06Keep business pages complete
Give every local business a real page with photos, reviews, hours and a map, so each page is a citable fact.
- 07Check what gets picked up
Watch search results and AI answers for the town's questions, and fix structure where the site does not appear.
None of these steps requires a paid tool. Search Console is free, sitemaps are standard files, and structured data is markup anyone can add by hand. The cost is time, and the cost repeats: every new story, every new business page, every new event needs the same treatment or the site's structure degrades.
Who this is for
This process is for local media companies and entrepreneurs starting a local site in any market, including newsletter publishers who want a real website business. It is not for someone who wants a traffic number promised in advance. No process can guarantee rankings, and any tool that promises them should be treated with suspicion.
Where a platform does the repeating parts
The manual process works, but the maintenance is constant. larkfeed, an AI-native platform for local media, builds the structure in from the start: every business, article, author and place is marked up so search engines and AI assistants know exactly what it is, and every site ships with a guide for AI crawlers with the doors open to the search bots that matter. Articles carry sources, dates and authors on every story, which is what an assistant needs before it will cite the site.
The platform also keeps the site full, which is the other half of the process. It loads 1,000+ local businesses into the publisher's directory, takes free event and job submissions to keep the calendar and job board alive, and watches the council meetings, agendas and permit filings a publisher picks, leaving sourced drafts waiting for approval. Nothing goes live until the publisher says so. WilCo Guide, serving Williamson County, Texas, is the first site running on larkfeed.
For a publisher building by hand, the trade-off is simple: hand-built sites cost less in software and more in hours, especially the recurring hours of markup and posting. A platform moves that work off the publisher's desk, at whatever the platform charges.
