indexing API
An API — most commonly IndexNow (Bing/Yandex) or Google's Indexing API — that pushes URL changes to a search index in real time instead of waiting for crawlers.
Indexing APIs flip the model from 'crawl-pull' to 'publisher-push'. Instead of waiting for a search engine's crawler to discover a change, you notify the index directly via an HTTP request. The result is indexing latency measured in seconds or minutes instead of days.
The most broadly useful is IndexNow, operated jointly by Bing and Yandex and open-protocol (Cloudflare, Wix, Duda, and many CMSes have native support). Submitting a URL to IndexNow propagates it to Bing within minutes, which in turn feeds ChatGPT's browsing-mode grounding layer.
Google's Indexing API is narrower — it's restricted to job postings and live-stream broadcasts in its supported documentation. For general content, submitting via Search Console's URL Inspection tool is the next-best option.
In AIRRNK
AIRRNK can be configured to automatically submit updated pages to IndexNow after fix deployment, compressing the usual days-long crawl-recrawl cycle down to minutes. This is one of the largest reasons our fix-to-citation-lift curve is steeper than doing the same fixes manually.
- llms.txt
A Markdown file at a site's root that tells AI crawlers what the site is about and which URLs are canonical — a kind of robots.txt for language models.
- Generative Engine Optimization
The practice of making a website more likely to be cited by AI answer engines (ChatGPT, Claude, Perplexity, Google AI Mode) rather than simply ranked on a traditional search results page.
- Schema Markup
Structured data embedded in a page (usually as JSON-LD) that describes what the page is about in a machine-readable vocabulary defined at schema.org.
What is Indexing API in the context of AI SEO?
Indexing API describes one piece of the larger Generative Engine Optimization (GEO) problem — measuring and fixing how ChatGPT, Claude, Perplexity, and Gemini talk about a business. GEO differs from classical SEO because LLM answers do not return a list of links; they return a paraphrase, and the signals that get you inside that paraphrase are different.
How does AIRank measure indexing api?
AIRank's Observer agent queries ChatGPT, Claude, Perplexity, and Gemini daily with the prompts your customers actually use and logs every mention. The Scanner agent then walks your site the way an LLM does — 47 signals across headings, schema, entity mesh, and source trust — and flags the specific gaps driving the result.
Why does indexing api matter for AI visibility?
Roughly 42% of B2B buyer research now starts inside an LLM (Forrester 2026). Pages that do not satisfy the GEO signal set get paraphrased without attribution or omitted from answers entirely — a situation Aggarwal et al. (Princeton, 2023) measured as a 30-40% citation gap against pages that do.
What is the fastest way to improve indexing api?
Start by running a free AIRank scan to surface the three highest-leverage fixes for your domain, then ship them through the Injector agent in a single click. Most teams see their first fix land within 12 minutes of install; citation lift typically shows up in weeks two and three once assistants re-crawl the edge-rewritten HTML.
Written by
The AIRank Editorial Team
Research & editorial, AIRank
The AIRank editorial team runs the 47-point scanner, the Observer pings, and the GEO research programme every week. Writing is reviewed by the core engineers who build the Injector, Blaster, and Surgeon agents.
About the team →