Know who is reading your site.
AutomateIndex separates search bots, AI agents, training crawlers, unknown automation, and ordinary traffic so you can stop guessing.
A public scan gives the first signal; the workspace turns it into ongoing evidence.AutomateIndex shows which AI crawlers visit your site, helps make pages easier for AI search and agents to understand, and lets you offer paid machine-readable access when you are ready.
Through to the other side
In the dark, your site is just noise to AI. Step through and it resolves into something machines can find, read, and trust — your pages, your facts, your access, ordered and lit.
Inside your index
In the light, your scattered signals lock into one structure — your pages, your facts, your feeds, your access. Scroll to assemble it.
The public surface AI reads first — the pages, products, and services that need to be found and understood.
The structured truth machines cite — prices, specs, comparisons, and the schema that makes them legible.
Proof the index stays current — sitemaps, feeds, and freshness signals that keep AI trusting the source.
The rules of engagement — what stays open to search, what is governed, and what agents can pay for.
From chaos to order
Your pages, facts, and access resolve into one clean, machine-readable index — scanned in real time.
What it does
AutomateIndex sits between your website and the AI systems trying to read it. First it shows what is happening. Then it improves the public surfaces AI can understand. Only after that does paid AI access become an option.
The point is simple: keep the open web discoverable, make your site easier for AI systems to understand, and control the parts of your content that deserve commercial access.
AutomateIndex separates search bots, AI agents, training crawlers, unknown automation, and ordinary traffic so you can stop guessing.
A public scan gives the first signal; the workspace turns it into ongoing evidence.Pages, product feeds, service details, policy files, sitemaps, schema, and summaries are tuned so AI systems can parse the right facts.
The goal is not to hide the site. It is to make the best public source easier to understand.When a site has valuable structured content, AutomateIndex can package approved access and route paid AI-agent use through AgentToll.
Search and human visitors stay open while selected AI access can become commercial.How it works
Evidence comes first, readiness work comes next, and payment only appears where you have a clean, structured route to sell — never before.
Check crawler rules, AI guidance files, and obvious readiness gaps before asking anyone to install a thing.
Monitor-only data shows which bots and AI agents request which paths while human visitors and search stay untouched.
Improve crawl eligibility, structured data, feeds, freshness, and evidence-rich content so AI search has clearer facts.
Offer approved content packages for agents that need reliable information. Raw crawler hits stay analytics.
The operating layer
The first scan is only the opening move. The workspace turns crawler evidence, readable files, policy rules, readiness fixes, and paid access into one controlled rollout for the site.
It works for websites that sell products, book services, publish knowledge, host documentation, maintain catalogs, or need their best public pages to be understood by the next generation of search.
Run a public scan that shows what AI and search systems can reach today, what guidance files exist, and where discovery is blocked.
Track search bots, AI agents, training crawlers, unknown bots, and the exact URLs they request as your site changes.
Turn product facts, service pages, feeds, freshness, schema, and public summaries into clearer source material.
Generate and maintain robots.txt, llms.txt, RSL terms, and access metadata without cutting off normal search.
Package product data, price lists, research, comparisons, inventory, and brand facts for approved AI use.
Let AI agents pay for selected access after the site has something structured, measurable, and valuable to sell.
Publish a validated catalog that describes your public machine-readable resources so agents can find and verify them.
Who it’s for
AutomateIndex gives publishers, agencies, and catalog owners a practical path from AI access evidence to better machine readability and approved access.
Find which crawlers, AI agents, and training bots touch the site, then keep discovery open while policy changes stay deliberate.
Start with an audit, show what AI systems can already read, fix readiness gaps, and report the safest next move across accounts.
Expose clearer product facts, feeds, summaries, and approved access so agents can understand the offer instead of scraping around it.
Readable to AI
AI search and agents work from sources they can clearly read and verify. AutomateIndex focuses on the signals that make your site usable source material instead of ambiguous page noise.
This is the practical layer most websites are missing: public pages stay open, policy becomes explicit, facts become structured, and changes become measurable.
Important pages stay crawlable, indexable, and open to search-like AI discovery.
Policy files, schemas, feeds, and text routes give AI systems cleaner facts to parse.
Sitemaps, changed pages, pricing, inventory, and service details stay current enough to trust.
The site explains why it should be chosen: coverage, proof, support, data, or expertise.
Audits, crawler visits, generated files, and source clarity become visible over time.
Public files, plainly
A handful of machine-readable files tell crawlers and AI systems what they can read, how to understand it, and when paid access exists — without changing everything at once.
robots.txtSets crawler rules for the open web so normal search can stay protected.
llms.txtGives AI systems a plain map of important pages, summaries, and preferred context.
RSL termsAdds rights and licensing signals for reuse instead of leaving agents to guess.
ai-license.jsonPublishes machine-readable access terms, contact paths, and paid-route metadata.
ai-catalog.jsonPublishes an ARD-compatible agent discovery catalog for public machine-readable resources.
The commercial layer
The offer reads in one pass: see AI access, improve what AI systems can read, monitor safely, and add paid access only when there is a clean product to sell.
Know which crawlers and agents reach you, keep search open by default, and decide what stays governed — without breaking discovery.
Cleaner pages, facts, feeds, and freshness so AI search and agents can read and verify your source material.
Package approved content and let AI agents pay through AgentToll — only once there is real, structured value.
Pricing
Run a free public scan, add a monthly workspace when monitoring earns its keep, and share usage only on successful paid AI-agent access. The pricing mirrors the workflow: prove visibility first, operate the site second, monetize approved AI access last.
For a first read on what AI and search crawlers can see before you install anything.
After the first paid invoice, one site gets live crawler visibility, generated files, and a guided monitor-first rollout.
After the first paid invoice, teams can manage multiple sites, access controls, payout readiness, and paid agent access rollout.
AutomateIndex charges 0% on x402 payments. Site owners keep paid agent-access revenue; provider, wallet, or network fees may apply outside AutomateIndex.
Go live
Start with a free scan, keep search open, improve the parts AI should understand, and charge agents only when your content is structured enough to be worth paying for.
Automated install for Vercel, Shopify, WordPress. The free audit works on any site — no install needed.
See what AI and search can already reach.
Improve pages, feeds, schema, summaries, and freshness.
Watch real bots and agents request the improved site.
Clarify what is open, governed, restricted, or commercial.
Turn approved AI-agent use into revenue when the value is real.
Market signals
Recent source-backed updates point in the same direction: AI discovery, crawler control, and agent payments are moving from theory into real product infrastructure.
Search is becoming more conversational, multimodal, and agent-led. Site owners need source material that AI systems can read, compare, and trust.
Google announced the open Agentic Resource Discovery specification, where organizations publish catalogs under their own domains so agentic resources can be found and verified.
Publishers are moving from blind scraping toward permission, visibility, and clearer terms for AI access.
Catalogs need product facts, prices, availability, and comparison details that agents can understand without guessing.
Small paid requests are becoming practical for software agents when the content is approved and worth charging for.
The pattern is clear: AI discovery, access control, and small agent payments are becoming real website infrastructure.