
Indexing beyond Google: why you should still start there
Published on:
Reading time: 11 min
Topic: Marketing
Author: Leandro Valencia
Bing, IndexNow, ChatGPT, Perplexity, YouTube, or the App Store: there are more places to be found than ever. But the discipline of indexing well is learned on Google, and that discipline is what transfers everywhere else.
Table of Contents
- What "indexing" actually means
- The map of real alternatives in 2026
- Summary table: where to index and how
- Why start with Google, even if it's not the final destination
- A working order that actually works
- Frequently asked questions
- What's underneath all of this
- Sources
What "indexing" actually means
Before talking about alternatives, it's worth clarifying the concept, because many people use it as a synonym for "showing up on Google" and it's broader than that.
Indexing means that an external system knows your content exists, can read it, understands it well enough to classify it, and decides it's worth showing when someone asks something related. That's four steps, and they fail in order: if the system doesn't know you exist, the other three don't happen. If it knows you exist but can't read you —because your content sits behind heavy JavaScript, or is blocked in robots.txt, or only lives inside a PDF— it doesn't either.
This definition applies equally to Google, Bing, YouTube's internal search, the App Store's search engine, and the mechanism by which Perplexity decides to cite you. The technical details change, not the logic.
The map of real alternatives in 2026
It's worth sorting this out, because "alternative to Google" throws very different things into the same bucket.
Traditional web search engines. Bing hovers around 10% in the United States and over 12% on desktop globally, and that percentage is no longer negligible. Behind it come Yahoo, DuckDuckGo, Brave, and regional search engines that dominate entire markets: Yandex in Russia, Naver in Korea, Seznam in the Czech Republic. If you sell in LATAM this matters little; if you have clients in Korea, it matters a lot.
Here there's a concrete, free tool almost nobody uses: IndexNow. It's an open protocol where you publish a key in your domain root and then notify via HTTP every time you create, update, or delete a page. Bing, Yandex, Naver, Seznam, and Yep support it, and pinging one is equivalent to pinging them all. Google doesn't support it. It takes an afternoon to set up and turns crawl times from days into hours.
AI answer engines. ChatGPT, Perplexity, Claude, Gemini. Here you're not competing for a spot in a list but to be the source the model cites. The entry requirement is technical and rather silly: you have to let their crawlers in. OpenAI's GPTBot and OAI-SearchBot, Anthropic's ClaudeBot and Claude-SearchBot, PerplexityBot. Many sites blocked them on reflex in 2023 and never revisited that decision.
About llms.txt —the file that supposedly guides models toward your best content— let's be honest: no major provider has confirmed it influences citations, and Semrush found no correlation with better performance. Put it up if you want, it costs little, but don't treat it as a lever.
Search engines that don't look like search engines. YouTube is the second most-consulted site in the world when someone wants to learn how to do something. Reddit has become how many people filter real opinions. Pinterest remains a huge visual discovery engine. The App Store, Amazon, GitHub, LinkedIn: they all have their own index, they all have their version of SEO, and in several of them competition is much lower than on the open web.
Indexes that depend on no one. Your email list. Your WhatsApp community. The clients who already bought from you. It's not indexing in the strict sense, but it serves the same function —the right people finding you when they need you— and no algorithm change can take it away from you.
Summary table: where to index and how
| Provider | What it is | How you notify it | Cost | Worth it if |
|---|---|---|---|---|
| Google Search | ~84% of US searches | Search Console + sitemap.xml | Free | Always. It's the foundation. |
| Bing Webmaster Tools | ~10% in the US, feeds Copilot and ChatGPT Search | Import your property from Search Console in 2 min | Free | Always. The marginal effort is near zero. |
| IndexNow | Open protocol: Bing, Yandex, Naver, Seznam, Yep | Key in the domain root + HTTP ping on publish | Free | You publish often and want crawling in hours, not days. |
| Yandex / Naver / Seznam | Dominant search engines in Russia, Korea, and Czechia | Their own consoles, or via IndexNow | Free | You have real traffic or clients in those markets. |
| DuckDuckGo / Brave Search | Privacy-focused search engines | No action needed: DDG uses Bing's index; Brave has its own | Free | You already did Bing. It comes for free. |
| ChatGPT Search | Answers with citations, ~900M weekly users | Allow GPTBot, OAI-SearchBot, and ChatGPT-User in robots.txt |
Free | Your content answers concrete questions. |
| Perplexity | Answer engine with visible citations | Allow PerplexityBot and Perplexity-User |
Free | Same as above. It cites sources more generously. |
| Claude / Gemini | Assistants with built-in search | Allow ClaudeBot, Claude-SearchBot, Google-Extended |
Free | Same work, same robots.txt. Just do it. |
llms.txt |
File that guides models toward your best content | Upload it to your domain root | Free | Takes 10 min, but no evidence it improves citations. |
| YouTube | 2nd most-consulted site; its own search engine | Titles, description, chapters, transcript | Free (costs production time) | You teach something better understood by watching. |
| Filter for real opinions; heavily cited by LLMs | Genuinely participate in relevant subreddits | Free (costs reputation) | Your niche has an active community and you can take scrutiny. | |
| Visual discovery engine | Pins with alt text and a link to your site | Free | Your product or topic is visual. | |
| App Store / Play Store | Closed index with its own SEO (ASO) | Title, subtitle, keywords, reviews | Developer account | You have an app. Competition is lower than on the web. |
| GitHub | Technical index and authority source for devs | Clear README, topics, releases | Free | You sell to developers or have something open source. |
| Your email list | The only index you control | Capture on your site + consistent sending | Low | Always. No algorithm can take it away from you. |
Why start with Google, even if it's not the final destination
Now the uncomfortable part of the argument.
Because Google forces you to fix what was broken. Search Console tells you, free and unambiguously, which of your pages aren't indexed and why: crawled but not indexed, blocked by robots.txt, server error, duplicate canonical, broken redirect. That list of problems isn't "Google problems." It's a technical hygiene audit of your site, and those same problems are costing you visibility on Bing, Perplexity, and everywhere else. No other system gives you that diagnosis with that clarity.
Because the work is reused almost entirely. A site with clean structure, an updated sitemap, honest titles, headings that reflect the actual content, decent load times, and well-placed structured data performs better on every index at once. There's no "for AI" version of writing clearly. Models cite content they can read, understand, and attribute — exactly what Google has been rewarding for twenty years.
Because the volume is still there. That 0.9% of traffic from AI assistants is growing fast and will probably keep growing. But building your entire strategy on it today means planning for a market that doesn't exist yet while ignoring the one that does. The sensible decision isn't betting on one of the two: it's covering the big one and preparing for the one that's coming.
Because you learn to think in intent. This is what truly transfers. Indexing well on Google trains you to ask what someone is actually looking for when they type a certain phrase, and to answer that instead of what you wanted to say. That skill is the same one you need to write a YouTube title people search for, an app description that converts, or an article a model cites because it answers the question better than the alternatives.
A working order that actually works
If I had to order this for someone starting out, it would be like this.
First, the basics done well: Search Console connected, sitemap submitted, robots.txt reviewed —and confirming you're not blocking AI crawlers by accident—, all important pages indexed with no pending errors. This isn't a creative phase, it's plumbing, and until it's done there's no point talking about anything else.
Second, extend with no additional effort: Bing Webmaster Tools —which imports your verified property and sitemaps directly from Search Console in a couple of minutes—, IndexNow configured, structured data where it makes sense. It's an afternoon of work that opens four or five more indexes to you.
Third, pick one alternative channel based on where your people are, not on what's trendy. If you teach something better shown being done, YouTube. If you sell software, GitHub and technical communities. If your product is visual, Pinterest or Instagram. One, done well, for months.
And in parallel, always, build the index you do control. An email list of a thousand people who open your emails is worth more than ranking third for a thousand-impressions-per-month search, and it doesn't depend on anyone else's decision.
Frequently asked questions
Does Google support IndexNow?
No. Google uses its own crawling and discovery system via Search Console and sitemaps. IndexNow works for Bing, Yandex, Naver, Seznam, and Yep: set it up for them, not for Google.
I already cover Bing with my sitemap. What's IndexNow for?
Speed. The sitemap tells Bing your content exists; IndexNow notifies it the moment you publish or update, and drops crawl times from days to hours. If you publish often, the difference shows.
Should I let AI crawlers in or block them?
It depends on your model. If you want ChatGPT, Perplexity, or Claude to be able to cite you, they have to be able to read you: check your robots.txt and unblock GPTBot, OAI-SearchBot, PerplexityBot, and ClaudeBot if you closed them on reflex. If your business lives on paid exclusive content, blocking them may be a legitimate decision — but make it a decision, not a default you never revisited.
Is it worth creating an llms.txt?
As a low-cost bet, yes: it's ten minutes. As a strategy, no: there's currently no evidence it improves your citations in the models. The work that actually moves the needle is readable, clear content that answers questions better than the alternatives.
What's underneath all of this
The question "where should I index?" usually hides another one: "how do I get found without doing the boring work?" And there the answer is that there's no shortcut. Indexes change, algorithms change, new platforms show up every two years. What doesn't change is that all of them, without exception, try to do the same thing: find the content that best answers a need and show it.
Starting with Google isn't loyalty to Google. It's accepting to train in the hardest system first, so that everything else becomes an adaptation instead of learning from scratch.
Want to put this into practice in your project? At Transforma we work on the execution side that makes these decisions hold up over time.
Sources
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