Best Tools to Get Indexed in ChatGPT and Perplexity (2026)

No tool can submit a URL to ChatGPT, Perplexity or Claude, because none of them publishes a submission endpoint. Every product advertising "LLM indexing" is doing one of two things: getting your pages into Google and Bing faster, or making sure the AI crawlers are allowed to fetch them. Both are worth paying for. Neither is submission. IndexMachine says so plainly in its own FAQ, and that honesty is the right benchmark to hold the category to. Below is what each tool actually does, what it costs in August 2026, and which layer of the job it covers.

The claim spread fast because the demand is real. A growing share of buyers now ask an assistant instead of scrolling a results page, and being the source it quotes is worth more than a tenth blue link. So vendors added a line item. The line item is usually accurate in effect and misleading in mechanism, and if you buy on the mechanism you will be disappointed.

What the tools actually do, compared

Can you submit a URL to ChatGPT?

No. Neither OpenAI, Perplexity nor Anthropic publishes a URL submission endpoint, and there is no paid placement in AI citations. What you control is crawler access. OpenAI documents three separate agents with three separate jobs: OAI-SearchBot handles search surfacing, GPTBot is the training crawler, and ChatGPT-User makes live fetches when someone asks a question that needs the open web. Perplexity crawls with PerplexityBot, and Anthropic with ClaudeBot. Allowing or blocking those user agents in robots.txt is the whole of your direct control, and it costs nothing.

This is why the honest version of the pitch is about ordinary indexing. IndexMachine's FAQ puts it about as plainly as a vendor can: it says it helps with LLM indexing by ensuring your pages are indexed by Bing, which it describes as the search API behind many LLMs. That is a mechanism you can check rather than a promise you have to trust. Treat any vendor that will not explain the mechanism the same way you would treat one that will not explain its pricing.

Does being indexed in Google help you get cited by AI?

For Google's own AI surfaces, it is a hard requirement. Google states that to be eligible to be shown as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to be shown in Google Search with a snippet. That single sentence collapses most of the confusion in this category: the AI visibility work and the indexing work are the same work. A page that is not indexed cannot be cited, so a tool that gets pages indexed is genuinely doing AI visibility work even when it never touches an AI system.

The corollary matters just as much. If you have added a nosnippet rule, or your pages sit at "Crawled, currently not indexed", no amount of AI-specific tooling will help until that is fixed. Start with checking whether the page is indexed at all, because everything downstream depends on it.

Why does Bing matter more than its market share suggests?

Because it is cheap to reach and it feeds things that are not Bing. One IndexNow call accepts up to 10,000 URLs and reaches Bing, Yandex, Seznam and Naver at once, and Microsoft Copilot draws on the Bing index. Google still does not use IndexNow as of 2026, so this is a genuinely separate channel rather than a duplicate of your Google work.

There is a measurement reason too, and it is the strongest practical argument for verifying a Bing Webmaster Tools property even if you never think about Bing traffic. Bing shipped an AI Performance report in public preview in February 2026 that reports Copilot and Bing AI citations per URL. As far as we can tell it is the only first-party AI citation data anyone publishes. Every other AI visibility number on the market is inferred from sampling prompts, which is a reasonable method and not the same thing as a log. If you want to know whether this work is paying off, that free report is the closest thing to evidence available, and submitting your URLs to Bing is the same five minutes of setup.

Is llms.txt worth adding?

It is a ten-minute job with an uncertain payoff, which is a fair trade at that price. The convention was proposed by Jeremy Howard in September 2024 and published at llmstxt.org: a plain markdown file listing your important pages so a model reading your site has a clean map instead of scraped navigation. No Google Search system reads it, and no major AI vendor has committed to it. We publish one anyway, on the reasoning that it costs almost nothing and the downside is zero.

What it is not is a substitute for access. If your robots.txt blocks GPTBot, a beautifully written llms.txt file changes nothing, because the crawler never arrives to read it. Check the access rules first, then write the map.

What the 20-URLs-a-day pattern tells you

Look at the table again and notice that two unrelated vendors publish the identical throughput: up to 20 URLs per day for Google, up to 200 for other engines. That is not a coincidence and it is not collusion. It is the shape of the constraint everyone is working inside. Google tied URL submission to verified ownership when it retired its public Add URL form, Request Indexing in Search Console runs at roughly ten to twelve URLs per day per property, and the Indexing API ships with a default publish quota of 200 requests per day per project.

The practical consequence is that nobody in this category is selling you speed that Google does not already meter. What differs between products is what happens to the pages the meter leaves behind. If you are weighing one of these purchases, our IndexRusher alternative comparison works through the arithmetic on a real catalogue, because 10,000 stored URLs at 20 a day is roughly 500 days and that number decides more purchases than the price does.

How do you know if an AI engine has actually cited you?

Honestly, imperfectly, and from several angles. The Bing AI Performance report is the only first-party source. Beyond it you are choosing between prompt-sampling tools that ask an assistant a set of questions on a schedule and record which domains it names, and server log analysis, which is underrated: if OAI-SearchBot, PerplexityBot and ClaudeBot are fetching your pages regularly, you are at least in the retrieval set, and if they never appear, nothing else you do matters yet.

Log analysis also surfaces the thing most teams have not thought about, which is that opening your site to automated clients is a two-way decision. The same shift that has agents reading your pages has your own team building agents that fetch and act on other people's pages, and text retrieved from the open web is untrusted input the moment a model can act on it. If you are running anything like that internally, treat prompt injection through retrieved content as a live risk rather than a theoretical one, because the instructions do not have to come from your user to reach your tools.

Which one should you buy?

Work down the layers and stop when the problem is solved. Fix crawler access first, since it is free and it gates everything else: allow OAI-SearchBot, GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot and Google-Extended unless you have a considered reason not to. Verify a Bing property next, also free, both to submit through IndexNow and to get the only citation report that exists.

Only then buy something. If you run one or two small sites and publish slowly, a lifetime deal at $12.50 to $199 covers you and a subscription would be waste. If you publish faster than 20 pages a day, or you have a list of pages that will not stay indexed and nobody can tell you why, the daily cap is your ceiling and delivery was never the bottleneck. That is the case for a tool that connects indexing to AI visibility by diagnosing the misses rather than resubmitting them forever.

One last piece of advice that costs nothing. AI engines cite pages that answer a question cleanly in the first few sentences, in tables, in plain declarative language with real numbers. That is a writing decision, not a purchasing one, and it moves the needle more than any tool on this list.