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I built a URL indexing SaaS in 40 days — here's the honest story

I built a URL indexing SaaS in 40 days — here's the honest story

For years I dealt with the same frustrating SEO problem: publish a page, wait 2–4 weeks for Google to discover it.

The Google Indexing API exists and solves this — but setting it up is painful:

  • Create a Google Cloud project
  • Configure a service account + OAuth 2.0
  • Handle batch requests (max 100 URLs per call)
  • Manage quotas across multiple API keys
  • Monitor whether Googlebot actually showed up

So I built IndexerPro (https://indexerpro.net) — a SaaS that handles all of this for you.

How it works

  1. Paste URLs manually, upload a TXT file, or connect your Sitemap
  2. We submit via Google Indexing API + IndexNow (Yandex/Bing) simultaneously
  3. Googlebot arrives in 1–4 hours on average
  4. You get detailed stats on every single bot visit

What makes it different from competitors

Most indexing services just fire-and-forget. You never know if the bot actually came.

We built two things nobody else has:

AI Bot Analytics
Track which AI crawlers visited your pages — GPTBot, ClaudeBot, PerplexityBot, Gemini, Grok — broken down by batch. As AI search grows, getting cited in ChatGPT and Perplexity is becoming as important as ranking in Google.

Bot Guarantee
If Googlebot doesn't visit your URL — we resubmit for free. Still no visit — automatic points refund. No manual support tickets, no questions asked.

Where I am right now

  • Built in 40 days with AI assistance
  • Launched 10 days ago
  • 5 paying users already
  • Blog live with SEO content
  • Working on distribution (Product Hunt next)

Stack: Laravel, PHP 8.3, MySQL — built solo with AI.
Pricing

10 points = 1 URL = $0.01. No subscription — pay only for processed URLs.
20 free URLs on signup, no credit card required.

👉 https://indexerpro.net

Would love honest feedback from anyone who does SEO or manages content-heavy sites.

What's your biggest frustration with Google indexing right now?

How long does Google usually take to index your pages?
  1. A few hours
  2. 1-7 days
  3. 2-4 weeks
  4. Never / still waiting
Vote
on May 18, 2026
  1. 1

    The “bot guarantee” angle is actually pretty smart because most indexing tools feel like black boxes once you submit the URL.

    One thing I find interesting here is how the problem is shifting from:
    “Did Google crawl my page?”
    to:
    “Which systems actually discovered and understood my content?”

    The AI crawler analytics part feels more strategically important long term than traditional indexing visibility alone.

    Curious whether you’re seeing customers care more about:

    • speed of indexing
      or
    • confidence/visibility into what actually happened after submission?
  2. 1

    This is genuinely impressive for a 40-day build. The Bot Analytics feature is the differentiator — most people aren't even thinking about AI crawler visibility yet, and you're already tracking it. That's forward-thinking.

    The Bot Guarantee is also smart. Removes the trust barrier. Users don't feel like they're gambling on whether it actually works.

    One thing I'd suggest: your blog content about SEO and indexing is a long-term traffic magnet. Keep publishing there. Every article that ranks is free customer acquisition forever. The SaaS solves the problem. The content brings the people who have the problem.

    Curious — what's been the biggest unexpected challenge since launching?

  3. 1

    One thing we added that's related to this —
    an AI Visibility Audit for any URL.

    It scores 12 parameters across three categories:

    Technical: TTFB, H1-H3 structure, FAQ/lists,
    page freshness, page size, HTTP status, AI bot
    access in robots.txt, JS dependency

    Semantic: content chunk quality, semantic HTML
    tags (article/main), trust signals, Schema.org

    Retrieval: how well LLMs can actually extract
    and cite the content

    Most pages score under 50/100. The most common
    issues: missing H1, no Schema.org, 403 blocking
    AI bots entirely, and zero semantic HTML tags.

    You can run it on any URL at indexerpro.net
    under AI Audit section.

  4. 1

    Genuinely useful angle — the "Bot Guarantee + automatic refund" part is what most indexing tools quietly avoid because the data is hard to claim. Two questions out of real curiosity:

    1. For "Googlebot didn't visit → refund": how do you separate Googlebot from spoofed UA? Reverse-DNS against the official Googlebot host, or UA-string match? Asking because a competitor could point out the refund is gameable by anyone with a "Googlebot" UA in dev tools. Reverse-DNS is cheap if you batch-cache the IPs, but UA-only is the easy path.

    2. The AI Bot Analytics angle is the more interesting moat. Are you seeing actual coverage differences between GPTBot vs ClaudeBot vs PerplexityBot on your customers' pages? Or is one bot orders of magnitude more active than the others?

    Good luck on the Product Hunt run. 5-paid-in-10-days curve is in the right shape.

    1. 1

      Both questions are sharp.

      On Googlebot verification: we track via server
      logs, not UA-string matching. If Googlebot hit
      the page, the request is in the log. Server-side
      logs can't be spoofed — we're looking at actual
      requests, not client-reported headers. That's
      the core of the guarantee: bot visited = it's
      in the log = confirmed.

      On AI bot coverage: yes, there are real differences.
      PerplexityBot and ClaudeBot tend to be the most
      active on content-heavy pages — blog posts,
      guides, comparison pages. GPTBot visits are
      less frequent but not zero. Gemini and Grok
      are the most unpredictable — some pages get
      hit within hours, others never.

      The pattern that surprises users most: a page
      can rank well in Google but get zero AI crawler
      visits for weeks. That gap is exactly what the
      analytics surface.

  5. 1

    This is a solid wedge because the product is not just “submit URLs faster.” The stronger angle is indexing accountability. Most tools stop at submission, but the real pain for SEO teams is not knowing whether Googlebot actually came, whether AI crawlers touched the page, and whether the batch produced any crawl signal.

    The AI Bot Analytics part is probably the most interesting expansion point. If IndexerPro becomes more than an indexing utility, the bigger category could be crawl visibility for search and AI discovery, where teams see how Google, Bing, GPTBot, ClaudeBot, PerplexityBot, Gemini, and Grok interact with their content.

    One thing I’d watch is the name. IndexerPro explains the current job, but it may box the product into “URL indexing tool” even though the broader value is bot intelligence and content discoverability. If this grows into a serious search/AI visibility layer, Exirra.com would feel more scalable and infrastructure-grade than a descriptive utility name.

    1. 1

      This is exactly the direction I'm thinking about.

      The indexing submission part is almost a commodity
      at this point. The real differentiation is what
      happens after you submit — did the bot come, which
      bot, when, and what did it see?

      The "crawl visibility" framing you described is
      spot on. As AI search grows, knowing that
      PerplexityBot crawled your page 3 hours after
      submission but GPTBot hasn't touched it in 2 weeks
      is genuinely actionable intelligence for content teams.

      On the name — fair point. IndexerPro describes
      what it does today, not where it's going. I'll
      keep Exirra.com in mind if the product evolves
      into a broader bot intelligence layer.

      Thanks for the thoughtful breakdown — this kind
      of feedback is exactly what shapes roadmap.

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