They became
the answer AI
assistants give.
Real B2B founders who deployed the Agentic Presence Engine and went from invisible to cited across ChatGPT, Claude, Perplexity, and Gemini.
Quick Answer
Six live client engagements across manufacturing, SaaS, health tech, industrial, freight, logistics and YMYL local services — every one shipped with a live A2A endpoint at .well-known/agent-card.json and measurable share-of-model lift within 12 weeks. Full case studies below.
Results across
every engagement
Aggregated outcomes from all six active client engagements — from manufacturing to healthcare to YMYL local services.
Cargoflow Logistics
Cargoflow Inc. was losing RFPs to competitors their prospects had never heard of — because those competitors had already been cited by AI procurement assistants. The buying journey had moved before Cargoflow noticed. We deployed the full Agentic Presence Engine in 30 days and rebuilt their discoverability from the ground up.
"The first week we saw ChatGPT name-drop Cargoflow in a procurement recommendation was the week our pipeline changed. It felt like we'd unlocked a market that had been running without us."
— David Mercer, CEO, Cargoflow Inc.
All six engagements
From manufacturing to healthcare — the Agentic Presence Engine works wherever buyers delegate decisions to AI.
Funeral
Delhi NCR funeral services operator whose 24×7 emergency booking depended on organic search — but competed with directory aggregators outranking them on every "cremation ground near me" query. We restructured every location page as machine-readable YMYL content, deployed 10 Tier-1 ghat pages with schema-marked authority, and shipped 100+ interlinked posts under a strict E-E-A-T editorial protocol. Now #1 across Delhi's high-intent local funeral queries. Read the full case study →
Industrial parts distributor with 30-year relationships and zero AI presence. Buyers' procurement tools were recommending their competitors. We structured their positioning as machine-readable authority and deployed a live A2A endpoint.
B2B SaaS platform competing with well-funded rivals. Their product was better; their AI presence was invisible. We engineered their discoverability layer and amplified their category narrative to the decision-makers buying DevTools.
Health technology firm with compliance-heavy positioning that AI could never parse. We restructured their authority docs into A2A-readable format and built a signal layer that made them the default recommendation for health procurement agents.
Full-engine deployment for an industrial equipment manufacturer whose ideal buyers were increasingly delegating vendor shortlisting to AI procurement tools. Deployed all three solutions simultaneously — the fastest compound effect we've seen.
How every case
gets built
The same three-phase process runs for every client. Consistent enough to guarantee results. Flexible enough to fit your category.
A 4-week deep-dive into your positioning, ICP, and category narrative. We produce the proof-point library and A2A positioning doc that every subsequent system draws from.
Your agent endpoint goes live. The signal layer launches. First citations appear in AI assistants. Query analytics switch on, so you can see exactly what agents are asking about you.
Discoverability engineering expands your citation network. The compound effect activates. Warm outreach sequences run on real signal data. Pipeline becomes predictable.
Agentic presence
doesn't care what you sell
If your buyers use AI to shortlist vendors, you need to be the answer it gives. Across every vertical we've worked in, the pattern is the same.
What we do that
nobody else does
Traditional agencies optimise for search engines. We engineer for the reasoning models that now sit between your buyers and your pipeline.
| Capability | Traditional SEO | Content Agency | WebFlur |
|---|---|---|---|
| Optimised for AI reasoning engines | — | — | ✓ |
| Live A2A agent endpoint | — | — | ✓ |
| Structured positioning doc for AI citation | — | ~ | ✓ |
| Signal-driven warm outreach | — | — | ✓ |
| AI mention frequency tracking | — | — | ✓ |
| Registered in Google / OpenAI agent layers | ~ | — | ✓ |
| 30-day deployment guarantee | — | — | ✓ |
| On-page Optimization | ✓ | ✓ | ✓ |
| Founder-to-engineer direct model | — | — | ✓ |
What founders
actually said
Not after a polished retrospective. These came in during the engagement.
"We'd been doing content marketing for three years and had nothing to show for it in terms of AI visibility. Pankaj's team had us cited on ChatGPT within the first month. I haven't looked back."
"The thing that surprised me most was how fast it moved. We thought 'agentic presence' would be a 6-month strategy. We had a live endpoint and first citations in under 30 days. The pipeline impact was immediate."
"Our buyers were using AI to find vendors. We weren't in those results at all. Now we're the first company Perplexity names when someone asks about industrial thermal solutions. That shift was worth every cent."
Talk to an engineer,
not sales
No SDR calls. No 40-slide decks. You get the founders — and a 30-minute session that ends with a clear deployment plan or an honest "not yet."
Talk to usLet's chat