WebFlur Solutions

The Agentic
Presence Engine

Your operating system for predictable AI-driven growth. Four interlocking systems that make your B2B business machine-readable, cited, and chosen — before the RFP exists.

Start building Trusted by 40+ B2B founders
0×
Avg. AI-referred inbound lift
0d
To live agent endpoint
0%
Invisible-to-visible conversion

Quick Answer

WebFlur runs three solutions on one engine: Founder-led Idea (positioning as machine-readable authority), Account-Based Amplify (distributing citations across surfaces AI assistants actually read), and Discover Based on Real Data Signals (signal-driven warm outreach + A2A endpoints). Every engagement ships all three within 12 weeks. Talk to us.

The Foundation

Everything orbits around your positioning

Without a defensible point of view, volume creates noise. We translate your founder's expertise into a single source of truth that every downstream agent can quote, cite, and reason from. Positioning is not a tagline — it's infrastructure.

0%
of AI citations trace back to structured positioning docs
0×
more likely to appear in AI-assisted vendor shortlists
Idea
Amplify
Discover
Positioning

Three solutions.
One engine.

Each solution is designed to work independently — and compound exponentially when run together.

01 — Founder-led Idea

Founder-led Idea

Every agentic surface starts with a sharp, defensible point of view. We translate your founder's expertise and category insight into a single source of truth that every downstream agent can quote, cite, and reason with.

Category Narrative
ICP Definition
Proof Point Library
Positioning Doc (A2A)
0× higher agent recall with structured positioning
Wk 1
Wk 2
Wk 4
Wk 8
Wk 12
AI mention frequency
02 — Account-Based Amplify

Account-Based Amplify

Stop leaving growth to the luck of an algorithm. We amplify your idea directly to the decision-makers and the AI assistants they delegate to — keeping you top-of-mind in every retrieval, every recommendation, every orbit a buyer enters.

Target Account List
AI Visibility Ads
Signal Publishing
Citation Network
0× compound growth in AI citations by month 6
Citation compound curve
Month 1Month 3Month 6Month 12
03 — Discover based on real data signals

Discover based on real data signals

We replace cold outreach with precise, signal-driven discovery. Because the prospect — and their AI assistant — already know and trust your brand, the conversation is warm from the first message. We turn earned gravity into booked meetings.

Signal Monitoring
Buyer Intent Data
Warm Outreach
Query Analytics
0% of clients invisible before we started. None are after.
AI assistant coverage
ChatGPT
92%
Claude
88%
Perplexity
79%
Gemini
83%
How AI crawlers actually work

Your website is invisible to AI agents — here's what changes that

ChatGPT, Claude, Perplexity, and Gemini don't read your website the way a human does. They send specialised crawlers that look for specific signals. If those signals aren't there, your business simply doesn't exist in their answers — regardless of how good your product is.

The crawlers already visiting your site

Every major AI platform runs its own crawler. Right now, bots like GPTBot and ClaudeBot are crawling the web and building the knowledge that powers AI answers. The question is whether they find anything useful when they land on your site.

GPTBot (OpenAI) ClaudeBot (Anthropic) PerplexityBot Google-Extended OAI-SearchBot CCBot (Common Crawl)

These crawlers don't render your JavaScript, don't follow your brand story, and don't read between the lines. They extract structured signals. No signals — no citations.

L1
robots.txt — Permission layer
The first thing every crawler reads. If GPTBot or ClaudeBot is blocked here, nothing else matters — they never index your site. Most B2B sites either block AI bots by accident or say nothing at all.
We configure this on day one
L2
llms.txt — Navigation layer
A plain-text file at /llms.txt that tells AI crawlers what your site is about, which pages matter, and how to understand your business in plain language. The open standard AI crawlers actively look for.
We write and maintain this
L3
JSON-LD Schema — Data layer
Structured data embedded in your HTML that tells AI systems exactly who you are, what you do, who you serve, and where to find you. Organization, Service, FAQPage, and Article schema — each one a clean data point an AI can extract and quote verbatim.
We embed this across every page
L4
Agent Card — Discovery layer
A JSON file at /.well-known/agent-card.json — the A2A protocol standard. AI agents use this to discover your business, understand your capabilities, and initiate contact programmatically. This is the layer that makes you queryable, not just readable.
We build and host this endpoint

What a typical B2B site looks like to an AI crawler — before and after

Most B2B sites were built for humans and Google. AI crawlers find almost nothing actionable. Here's what we change.

Without WebFlur
With WebFlur
GPTBot blocked or ignored
All major AI bots explicitly permitted
No llms.txt — crawler guesses
llms.txt tells crawlers exactly what to read
Prose content — hard to extract
JSON-LD schema on every page — machine-readable
No agent card — not queryable
Live A2A endpoint — AI can query your business directly
0 AI citations / month
Meaningful citations start at week 5–6
📄
Machine-readable content
We restructure your existing content so AI crawlers can extract, quote, and cite it. This is the foundation everything else builds on.
robots.txt configured for AI bots
llms.txt written and maintained
JSON-LD schema across all pages
TDM policy (training permission)
🔗
Citation infrastructure
Being crawlable isn't enough — AI systems cite sources they've seen referenced authoritatively across multiple contexts. We build that authority network.
Structured positioning docs AI can quote
Co-citation with authoritative sources
Consistent entity across all surfaces
Category-level authority signals
⚡
Live A2A endpoint
The final layer — a live JSON-RPC endpoint at your domain that AI agents can query directly. Not just readable. Queryable. Transactable.
Agent card at /.well-known/agent-card.json
JSON-RPC endpoint at /a2a/v1
Public skills for discovery
Auth-gated skills for booking
Pipeline
0×
Average increase in AI-referred inbound within 90 days
Speed
0d
From kickoff to live agent endpoint — fastest in market
Coverage
0+
Major AI assistants your business becomes discoverable on
Retention
0%
Client retention after first 90 days of deployment

The Timeline

A structured 12-week rollout. Visible results begin at week 5. Full compounding effect by week 12.

Weeks 1–4
Strategy Sprint
  • Positioning Workshop
  • ICP & Narrative Build
  • Agent Endpoint Architecture
  • Proof Point Library
Weeks 5–8
Ignition
  • Endpoint Goes Live
  • Signal Layer Launch
  • First Citations Published
  • Query Analytics Active
Weeks 9–12
Full Thrust
  • Discoverability Engineering
  • Citation Network Expansion
  • AI Coverage Audit
  • Compound Growth Active
Live A2A endpoint

Ask our agent directly

This widget talks to a real JSON-RPC endpoint at webflur.com/a2a/v1 — the same endpoint an AI procurement assistant would query. No demo environment. No mocks.

webflur.com/a2a/v1 ● LIVE

Frequently asked questions

Everything you need to know before we start. If your question isn't here, talk directly to Pankaj or Nick.

Ask us directly
Who is the Agentic Presence Engine built for? +
B2B founders and operators with a defined offer and a real point of view. If you sell something complex, technical, or high-value — and your buyers are starting to use AI tools to find vendors — this was built for you.
Can I start with just one pillar? +
Yes. Positioning Architecture is where every engagement starts — it's foundational. From there, you can add Agent Endpoint, Signal Layer, and Discoverability Engineering in phases. Each is useful alone; together they compound.
How quickly will I see results? +
The agent endpoint is live within 30 days. First AI citations appear in weeks 5–6. Meaningful inbound signal — AI assistants actively referring prospects to you — typically begins appearing in weeks 8–10. The compound effect builds continuously from there.
How is this different from SEO or content marketing? +
Traditional SEO optimises for search engine crawlers. We optimise for AI reasoning engines. The format, structure, and signals are fundamentally different. Content marketing builds brand awareness. We engineer machine-readable authority that causes AI systems to cite and recommend you by name.
What do you need from us to get started? +
A 90-minute positioning session with the founder, access to 3–5 client case studies, and your honest take on what makes you different. That's it. We handle the rest — research, architecture, publishing, and monitoring.
Do we need a long-term contract? +
The Strategy Sprint is a fixed 4-week engagement. After that, ongoing Signal Layer and Discoverability work runs on a monthly basis with 30-day cancellation. We earn the relationship every month.
How do you measure success? +
We track AI mention frequency, query volume through your agent endpoint, citation count across major AI platforms, and — most importantly — AI-attributed inbound leads. You get a live dashboard from week 5 onward.
Ready when you are
PankajFounder, WebFlur
Nick SmithCo-Founder, WebFlur

Talk to an engineer,
not sales

No discovery calls with SDRs. No slide decks before a conversation. You get the founders — and a 30-minute session that ends with a clear plan or an honest "not yet."

Talk to us

Frequently asked questions

It's WebFlur's four-pillar system for making a B2B brand visible to AI agents: (1) Positioning Architecture — machine-readable brand facts, (2) Agent Endpoint — A2A API for AI-to-AI queries, (3) Signal Layer — registration inside AI orchestration platforms, (4) Discoverability — schema, GEO content, citation-worthy assets.
Yes. Positioning Architecture is the foundation — it feeds everything else — so most engagements start there. From there, you can add Agent Endpoint, Signal Layer, and Discoverability in any order. We run a diagnostic first and recommend the highest-ROI pillar for your current visibility gap.
A machine-readable positioning doc (published at a canonical URL LLMs can crawl), an Organization + Service + Product schema pass, a positioning-to-schema map, an audit of how your brand currently appears in ChatGPT/Perplexity/Claude, and a tightened brand-fact set that LLMs will extract consistently.
A live HTTPS endpoint (typically at /.well-known/agent-card.json plus routes for quotes, specs, availability) that responds to AI agent requests in sub-200ms. Google, OpenAI, Anthropic, and Perplexity are all rolling out agent-to-agent protocols. If you don't have an endpoint, you're invisible to that traffic layer.
Positioning Architecture: 2 weeks. Agent Endpoint: 3–4 weeks. Signal Layer: 4 weeks. Discoverability: ongoing. A full four-pillar deployment averages 8–12 weeks. Our 30-day Agentic Presence Sprint compresses the first pillar plus a live endpoint into one month.
Both. Most clients start with a fixed-scope build (positioning + endpoint), then move to a monthly retainer for ongoing GEO content, A2A route expansion, citation monitoring, and quarterly LLM-visibility audits. We're transparent about what's build vs maintenance — you won't be locked into a retainer for work that's already done.