Your next visitor
isn’t human.
AI agents already read, compare, and recommend on your customers’ behalf. Sift makes sure they read you right.
The shift
Twelve clicks became one answer.
People used to browse. Now they ask. An agent reads for them, compares for them, answers for them. Your site gets one fetch to make its case.
1998 to 2024, humans browsing
search→click→compare→click→read→bounce→return→click→convert
Now, agents answering
ask→read→convert
57.5%
of web traffic is already bots
2.5B
people get AI answers every month
Cloudflare Radar, June 2026 · Google I/O 2026 keynote
01 · The economics
Agents don’t read pages.
They spend tokens.
JavaScript never renders. Menus and cookie banners burn the context window. Facts inside images never arrive. Sift fixes the economics.
~90%
fewer tokens per page
Measured on typical JavaScript-heavy commercial pages.
62%
of a typical page is invisible or wasted on AI
JavaScript, video, carousels, and chrome. Your best content never gets read.
0 ms
of JavaScript required
Pre-rendered static HTML from the edge. No client rendering, no crawler timeouts.
+37%
more readable content in those fewer tokens
Chrome and scripts stripped. Structured data, FAQs, and image-asserted facts added. Measured even on an already-clean static page.
Every page ships with a before and after audit score. The lift is measured, not asserted.
02 · The uplift
AI sends fewer visitors.
They buy more.
Assistants compress the funnel: the model reads, compares, and shortlists before a human ever clicks. Being cited is the new shelf space — and what arrives afterward is a decision, not a visit.
4.4×
higher conversion from AI-referred visitors than organic search
The answer engine does the comparing before the click. What lands on your page is intent.
+975%
AI referral growth in one year
Still around 1% of sessions today. The channel is small, compounding, and mostly uncontested.
30–40%
more AI visibility from added structure, statistics, and citations
The Princeton GEO study measured the exact edits sifting makes: clean structure, extracted facts, sourced claims.
Our hypothesis
Sifted pages earn ~20% more citations and AI referrals than their unsifted baseline.
The Citation Snowball Effect
Citations compound. Answer engines lean on sources that engines already cite, and every answer you appear in seeds the retrieval for the next one. Each citation you win makes the next one cheaper.
The Referral Multiplier
Every citation carries the 4.4× conversion premium, so a ~20% citation lift lands far harder in revenue than it looks in a traffic chart. The snowball feeds the multiplier.
Stated before the data, tested in every pilot. The numbers prove it or kill it.
Conductor 2026 benchmarks · Princeton GEO study (KDD ’24). Industry numbers, not ours. The pilot replaces them with yours.
03 · The control
The narrative stays yours.
Unreviewed AI content is a liability. Sift treats your review as the product: you annotate, the agent revises, and nothing ships without your sign-off.
100%
of what publishes carries your sign-off
Inline annotations on the draft. The agent revises with full memory of your feedback.
1:1
every claim on a sifted page traces to your original
An automated verification pass compares the sifted page against the source before it can publish.
Rephrase, never fabricate
The agent may restructure only what your pages already assert. Schema-validated and audit-scored, every single run.
You hold the pen
Every version immutable. Every change request tracked to resolution. Your sign-off is the publish button.
Your voice, your facts
Ratings, credentials, service areas, FAQs: settings you edit, rendered verbatim into every page and its structured data.
AI will describe your company either way. Sifting decides which facts it reads — and you decide what sifting says.
An agent translates. You approve. Only bots see it.
1
Learn the brand
We crawl your sitemap and compile a company profile and voice guidelines from your own pages. Both editable by you.
2
Translate each page
An agent rebuilds the page: semantic HTML, FAQs, structured data. A vision pass catches facts locked inside images.
3
You approve
Annotate the draft inline. The agent revises with full memory of your feedback. Nothing publishes without you.
4
Serve to bots
An edge worker serves the sifted page to AI traffic only. Humans keep seeing your site, pixel for pixel.
Zero changes to your human site. Remove it anytime.
The pilot
Free onboarding. Eight weeks. Real numbers.
We sift one domain end to end, then measure citations and AI referrals against your unsifted pages — a direct test of the ~20% hypothesis, on your traffic. You see the report and decide.
What you get, free
- ✓Full onboarding: crawl, company profile, brand guidelines
- ✓Every key page sifted. Model costs on us.
- ✓A before and after audit report for every page. Yours to keep.
- ✓Zero code changes, served to AI traffic only. Remove it anytime.
What we ask
- 01A live domain we can sift end to end
- 02About two hours of your time: draft reviews and one call
- 03Permission to measure results, shared anonymized
Week 1
Onboard and baseline
Week 2
Sift and review
Weeks 3 to 8
Measure vs. unsifted pages
Week 8
You see the report. You decide.
Stay on as a customer only if the numbers earn it.
Thirty minutes, on a time you pick. The invite and Meet link land in your inbox automatically.
Become a research partner