AI Search Optimization for ChatGPT, Perplexity and Gemini
Get found when buyers ask AI. AXP Edge gives crawlers a clean, roughly 90% lighter view of your site, so they read and cite you. No site change for humans or Google.
One request in. The right page out for every visitor.
AXP Edge sits on your CDN, spots who is asking, and routes AI bots to a clean, agent-first version while humans and search engines see your site exactly as it is today.
Two things start to move in the first few weeks
AI agents fetching your pages, and AI tools sending real visitors back to you.
| Page | Agent traffic | AI citations | AI referrals |
|---|---|---|---|
Publive | AI Visibility Platform publive.online/ | 6,240+34% | 41+18% | 318+27% |
Publive | AXP Edge /axp-edge | 2,180+52% | 12+60% | 96+44% |
Publive | Streams /streams | 1,940+21% | 23+15% | 142+12% |
Publive | Blog: the GEO playbook /blog/geo-playbook | 1,360+28% | 9+12% | 71+9% |
Publive | CMS /cms | 980+15% | 6flat | 38+6% |
What is AI search optimization (and LLM SEO)?
AI search optimization is the practice of making your website readable, structured and citable by the AI systems that now answer buyer questions — ChatGPT, Perplexity, Gemini and Google AI Overviews. Where classic SEO optimises for a ranked list of links, AI search optimization optimises for being the source a model reads, trusts and cites inside a generated answer. The reader is no longer a human scanning results; it is a crawler that fetches your page, extracts the facts, and decides whether to attribute them to you.
LLM SEO is the same discipline under a different name. So are “generative engine optimization” (GEO) and “answer engine optimization” (AEO). All three describe the shift from ranking to being cited by a large language model. The vocabulary varies; the requirement does not. Before a model can prefer you, trust you or cite you, it has to be able to read you — and most AI crawlers read only the raw HTML your server returns, without running the JavaScript a browser would.
That is the gap AI search optimization closes. It is less about keywords and backlinks and more about machine legibility: clean HTML, explicit structure, schema, and a response light and fast enough to fit inside a crawler’s budget. Get those right and the same content you already publish becomes answer-ready. AXP Edge delivers them at the CDN edge, for every page, without touching what humans and Google see.
Retrieve, read, cite — and speed decides
AI answers are built by retrieving live pages, reading whatever HTML comes back, and citing the sources easiest to parse. Clean, structured and fast wins the citation.
Retrieve
On a relevant question, the engine fetches candidate pages over HTTP — often several at once — to gather sources.
Read
It parses the returned HTML and extracts facts. No JavaScript execution, so anything rendered client-side is invisible.
Cite
It synthesises an answer and attributes the clearest, best-structured sources — with a link. That citation is the win.
Two sources can carry the same facts, but the model reaches for the one it can read cleanly and quickly. When your page is bloated or JavaScript-dependent, you don’t just rank lower — you drop out of the source set entirely.
Why token bloat and JS rendering push you down
Most pages lose AI visibility for the same two reasons — and neither shows up in a normal SEO audit.
A modern web page is built for browsers and for Google, both of which render JavaScript and tolerate heavy markup. AI crawlers do neither well. They typically read the raw HTML once, and they read it on a budget — so the two habits that make a page feel modern to humans are exactly the two that make it illegible to a model.
JavaScript-rendered content
If facts appear only after JS runs, most AI crawlers never see them — the page reads as empty and can’t be cited.
Token bloat
Nav, scripts, styles and chrome inflate the page. Crawlers spend their budget on noise instead of your facts, and may truncate before reaching them.
Slow responses
A page that responds slowly can be skipped when the engine is assembling an answer from several sources under time pressure.
AXP Edge answers all three at once: it renders the JavaScript, strips the bloat to roughly 90% fewer tokens, and returns the result in under 500ms — a clean, fast, fact-dense page built for the way engines actually read.
One worker on your CDN — no site change
Installs on the edge you already run (Cloudflare, CloudFront, Akamai), live in under two hours, with failover and one-click rollback. Your application, origin and human experience are untouched.
Detect the engine
A lightweight worker on your CDN spots AI crawlers by user agent, matched against a list we maintain; humans and Googlebot pass straight through, untouched.
Render & slim
It renders the page and strips it to substance — no nav, scripts or chrome — a clean, schema-rich view that’s ~90% lighter to read.
Serve for citation
The structured view returns in under 500ms, giving each engine 100% of your facts in the form it prefers to cite.
How each AI search engine reads and cites you
Same principle everywhere — fetch, read, cite — with a note on what each engine looks for.
ChatGPT
OpenAIGPTBot, OAI-SearchBot and ChatGPT-User fetch pages to ground answers and browsing results. They read returned HTML without executing JavaScript, so a clean, structured response is what earns the in-answer citation and link.
Perplexity
PerplexityPerplexityBot retrieves live sources for its cited answers and leans heavily on clear structure and fast responses. As an answer engine built around citations, it rewards pages that state their facts plainly and load quickly.
Gemini
GoogleGoogle-Extended governs whether your content is used to ground Gemini and Google’s AI features. Allow it and serve a clean, schema-rich view, and you become eligible to be read and summarised rather than skipped.
Google AI Overviews
GoogleAI Overviews synthesise an answer above the classic results, drawing on pages Google can parse cleanly. Structured, fact-dense content improves your odds of being one of the summarised and linked sources.
Curious how AI crawlers work under the hood? See the AI crawler optimization explainer for the user-agents and fetch mechanics in detail.
One web address. Two audiences.
Flip the toggle to see what actually leaves the edge. Same substance, served the way each audience needs it.
Health insurance that keeps up with your family
Cashless treatment at 12,000+ hospitals. Cover from ₹5 lakh to ₹1 crore.
Only AI gets the clean view
The foundation, rebuilt at the edge
Every number here traces back to one thing: AI reading a clean, structured version of the page you already have.
AI visibility, built on infrastructure already proven at enterprise scale
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Enterprise-safe by design
Nothing changes for customers
Only AI tools get the cleaned-up version. Real visitors and search engines see today’s site, untouched.
This is not cloaking
We only clean up and restructure what is already on your page, AI and visitors get the same substance.
It stays on your own domain
No second page to manage. AI reads your real web address, so citations point straight back to you.
It cannot break your site
If anything ever goes wrong on our side, the page falls straight back to your normal site.
Read up on the rest of the cluster
Generative Engine Optimization
GEO without a rebuild — earn citations in generated answers.
AI Crawler Optimization
How GPTBot, ClaudeBot and PerplexityBot fetch and read your pages — and llms.txt.
AXP Edge
The full product: get found in AI answers without changing your site.
AI Streams
Publish new, governed content built to be cited — the add-new-content complement.
Pricing that scales with your AI visibility
Prices exclude applicable taxes. Yearly billing saves 20%. Switch currency and billing above.
AI search optimization, answered
AI search optimization is the practice of making your website readable and citable by the AI systems that now answer buyer questions — ChatGPT, Perplexity, Gemini and Google AI Overviews. Where classic SEO optimises for a ranked list of blue links, AI search optimization optimises for being the source a model reads, trusts and cites in its generated answer. The mechanics are different: the win condition is a citation, not a position, and the reader is a crawler that fetches your page and extracts facts.
Start being the answer today
Tell us where you want to show up in AI answers. We’ll come back with your AI Visibility Gap Report and the fastest path to being cited.