Launch
SiftServe
Visit
Example Image

SiftServe

Make your site readable to AI agents

Visit

SiftServe rebuilds websites so AI agents can read them clearly. It scans your pages, finds missing facts and contradictions, then rewrites the content into agent-friendly HTML with FAQs and structured data. You approve every draft before anything goes live. The approved version is served only to AI traffic at the edge, while human visitors and search engines keep seeing the original site unchanged. It also checks what ChatGPT, Gemini, Claude, and Perplexity say about your business, tracks which bots fetched which pages, and feeds those results back into the next round of fixes. The goal is to improve citations, AI referrals, and visibility without changing the experience for people.

Example Image
Example Image

Features

  • Knowledge graph for your brand
  • Detailed Bot analytics for all bots visiting your website
  • GEO audit and Content Audit to identify gaps
  • Recommended actions and automated workflows for next steps
  • Serve bots at the edge

Use Cases

  • GEO for Brands
  • Brand reputation management - Own your narrative
  • Increase Citations for brands with static websites
Fazier Deal
See coupon Copied!

Comments

A bottoms up approach to solving GEO where better content and owning the narrative helps your brands control what AI thinks of you

custom-img
I am a Cofounder of Medavize Inc.

This is cool, I've been looking for a tool that optimizes my website for AI scrapping.

congrats to the launch, nice product!

I like that SiftServe only serves the rewritten, agent-friendly version to AI traffic at the edge while human visitors and search engines still see the original site. Having you approve every draft before it goes live is a reassuring touch.

Serving an agent-friendly version only to AI traffic at the edge, while humans and search engines still see the original site, is a clever way to avoid redesign risk. I also appreciate that you approve every rewritten draft before it goes live, plus the per-bot analytics showing which bots fetched which pages.

How does the approved AI version stay current when a site changes its pricing or limits? A source URL and last-checked date beside each extracted fact would help teams spot stale information before it reaches agents.

Serving the approved agent-friendly version only to AI traffic at the edge is an interesting approach. How do you identify AI bots reliably (user-agent versus verified IP ranges), and could search engines ever treat the difference from the human page as cloaking?

The edge split is what separates this from a generic rewrite tool: humans and search engines keep the original page, only AI traffic gets the approved HTML, so the brand voice survives. The contradiction case is the one I cannot judge from the listing. If the scan finds two conflicting facts, does the page stay unserved to bots until a human picks one, or does it publish both with the FAQ resolving the conflict? A before/after of what an agent actually retrieves would make the value obvious.

custom-img
Building tools

congrats on the launch

How does SiftServe decide what content to expose to AI agents versus regular visitors? A concrete example of the output for a client-rendered React page would help me judge how complete it is.

custom-img
Building Songprint, an AI music detector...

Interesting angle — most AI-readability work targets text-heavy pages, so I am curious how SiftServe handles media-heavy sites. Does it generate descriptions or structured summaries for audio/video assets, or does it only expose the surrounding text to crawlers? A before/after example of what an AI agent actually retrieves from a patched page would make the value obvious.

The edge split is the part that actually makes this different from a rewrite tool: humans and search engines stay on the original site, and only AI traffic gets the approved HTML with FAQs and structured data. That avoids the usual GEO trap of changing the public page and losing the brand voice. What I cannot tell from the listing is the contradiction case. If the scan finds two conflicting facts, does approval block serving that page to bots until you pick one, or can the FAQ go out with both versions flagged? For a static marketing site, that conflict is where the knowledge graph should earn its keep, especially since bot analytics then feed the next round of fixes.

Serving the approved, agent-friendly version only to AI traffic at the edge, while human visitors and search engines keep the original site, is a clean way to approach GEO. The approval step before anything goes live is reassuring, and tracking which bots fetched which pages gives the rewrites a feedback loop. The checks on what ChatGPT, Claude and Perplexity say about a business are a useful reality check.

Congratulations on it!!

Serving an AI-only version at the edge is clever, but how do you handle the cloaking question? Google's spam policies treat showing crawlers different content than people as cloaking. Google-Extended is only a robots.txt token on Googlebot's crawls, not a separate bot, so do you exclude Google entirely? And how do you make sure the AI version never says anything the human page doesn't?

Serving the approved rewrite only to AI traffic at the edge is an interesting design. How do you identify AI agent requests reliably, by user-agent or IP lists? And what happens if a crawler spoofs a normal browser UA, does it just see the original site?

Premium Products
See coupon Copied!
Social Links

Comments

A bottoms up approach to solving GEO where better content and owning the narrative helps your brands control what AI thinks of you

custom-img
I am a Cofounder of Medavize Inc.

This is cool, I've been looking for a tool that optimizes my website for AI scrapping.

congrats to the launch, nice product!

I like that SiftServe only serves the rewritten, agent-friendly version to AI traffic at the edge while human visitors and search engines still see the original site. Having you approve every draft before it goes live is a reassuring touch.

Serving an agent-friendly version only to AI traffic at the edge, while humans and search engines still see the original site, is a clever way to avoid redesign risk. I also appreciate that you approve every rewritten draft before it goes live, plus the per-bot analytics showing which bots fetched which pages.

How does the approved AI version stay current when a site changes its pricing or limits? A source URL and last-checked date beside each extracted fact would help teams spot stale information before it reaches agents.

Serving the approved agent-friendly version only to AI traffic at the edge is an interesting approach. How do you identify AI bots reliably (user-agent versus verified IP ranges), and could search engines ever treat the difference from the human page as cloaking?

The edge split is what separates this from a generic rewrite tool: humans and search engines keep the original page, only AI traffic gets the approved HTML, so the brand voice survives. The contradiction case is the one I cannot judge from the listing. If the scan finds two conflicting facts, does the page stay unserved to bots until a human picks one, or does it publish both with the FAQ resolving the conflict? A before/after of what an agent actually retrieves would make the value obvious.

custom-img
Building tools

congrats on the launch

How does SiftServe decide what content to expose to AI agents versus regular visitors? A concrete example of the output for a client-rendered React page would help me judge how complete it is.

custom-img
Building Songprint, an AI music detector...

Interesting angle — most AI-readability work targets text-heavy pages, so I am curious how SiftServe handles media-heavy sites. Does it generate descriptions or structured summaries for audio/video assets, or does it only expose the surrounding text to crawlers? A before/after example of what an AI agent actually retrieves from a patched page would make the value obvious.

The edge split is the part that actually makes this different from a rewrite tool: humans and search engines stay on the original site, and only AI traffic gets the approved HTML with FAQs and structured data. That avoids the usual GEO trap of changing the public page and losing the brand voice. What I cannot tell from the listing is the contradiction case. If the scan finds two conflicting facts, does approval block serving that page to bots until you pick one, or can the FAQ go out with both versions flagged? For a static marketing site, that conflict is where the knowledge graph should earn its keep, especially since bot analytics then feed the next round of fixes.

Serving the approved, agent-friendly version only to AI traffic at the edge, while human visitors and search engines keep the original site, is a clean way to approach GEO. The approval step before anything goes live is reassuring, and tracking which bots fetched which pages gives the rewrites a feedback loop. The checks on what ChatGPT, Claude and Perplexity say about a business are a useful reality check.

Congratulations on it!!

Serving an AI-only version at the edge is clever, but how do you handle the cloaking question? Google's spam policies treat showing crawlers different content than people as cloaking. Google-Extended is only a robots.txt token on Googlebot's crawls, not a separate bot, so do you exclude Google entirely? And how do you make sure the AI version never says anything the human page doesn't?

Serving the approved rewrite only to AI traffic at the edge is an interesting design. How do you identify AI agent requests reliably, by user-agent or IP lists? And what happens if a crawler spoofs a normal browser UA, does it just see the original site?

Premium Products