Fix what AI can read â build what AI can cite â protect what AI says. Each phase proves itself before the next spend is asked for.
AXP Edge â fixes the machine foundation before anything else can compound.
AI Streams â publishes the content the site doesn't have yet.
Agents Hub â watches and protects the narrative over time.
Every phase depends on the one before it â content can't be cited if agents can't read the page, and a reputation can't be protected until there's an AI narrative to protect. Pitching all three at once inflates the first ask and blurs which layer is actually moving the number that matters. Phasing gives each stage its own proof point before the next spend is requested.
Get found in AI answers without changing the site.
Sits at the CDN edge and serves AI crawlers a clean, structured, SSR version of pages that already exist â schema intact, ~90% fewer tokens to read. Humans and Google see the site completely unchanged. No rebuild, live in under 2 hours, one-click rollback.
Nothing else compounds until AI can actually parse the site â content quality is irrelevant if a crawler sees an empty <div id="root">. This is the machine-foundation layer every later phase stands on, and it's the fastest, lowest-risk phase to prove.
Verified agent/bot traffic increase (GPTBot, ClaudeBot, PerplexityBot fetches), agent response time under 500ms, tokens served down ~90%.
15â20% lift in AI citations and rising AI-referral traffic â human & SEO traffic stay completely unchanged throughout.
Publish the content the site doesn't have yet â built to be cited, not just read.
A dedicated /streams section on Publive's CMS, targeting the real questions buyers ask AI. Prompt curation, drafting, design assembly, compliance QA, competitor tracking and refresh all run as content agents grounded in the client's Brand Knowledge Hub â every page is human-reviewed and client-approved before it publishes.
Edge makes the existing site readable â it can't invent citations for questions the site never answers. Streams is the offense: it creates the actual ground truth for AI to cite, and it lands on a foundation AI can already read because Phase 1 came first.
Baseline Citations % measured, 50+ prompt universe locked, Brand Knowledge Hub built, first pages live against priority prompts.
Citations % and Share of Voice climb against named competitors, Sentiment trends positive, Month 6 formal benchmark review.
Always-on agents that watch what AI is already saying, and catch drift before it compounds.
The Brand Reputation Agent works like an always-on PR monitor â it watches AI answers and flags risky or incorrect claims about the brand, with a reason and a suggested fix. The Outdated / Contradictory Content Agent checks the live site against the brand's verified Knowledge Hub built in Phase 2 â sources, docs and a "Brain" completeness score â and flags drift before AI repeats it.
There's nothing to monitor or protect until Phase 1 makes the brand machine-readable and Phase 2 gives AI something real to cite. This phase is defense â it protects the citations Phase 2 won, rather than creating them.
Claims and mentions monitored across AI surfaces, time-to-flag on a risky or incorrect claim, drift instances caught against approved knowledge.
Fewer stale or incorrect AI-attributed claims over time, rising Brain score, AI Visibility Score defended as competitors keep publishing.
â¹50K/month is a far easier yes than a full-stack commitment â the natural low-friction opener.
Bot traffic moves in weeks (Edge), citations move by month 3â6 (Streams), and reputation-monitoring only earns its keep once Streams has created something worth protecting (Agents Hub).
A page can't be cited if it can't be crawled. An agent has nothing to watch until there's an actual AI narrative in the wild.
Each phase is its own upsell trigger â prove Edge, expand to Streams, layer on Agents Hub once there's a narrative worth defending.