01 / 15 — THE PROBLEM
You rank #1 on Google.
You're a ghost to AI.
Buyers are using ChatGPT, Perplexity, and Claude to choose vendors. If you aren't named there, you don't exist — regardless of your SEO.
> User prompt: "What's the best [Your Category] for B2B?"
> AI response: "I recommend [Competitor A], [Competitor B], and [Competitor C]..."
[!] Your brand: not retrieved.
02 / 15 — MARKET SHIFT
The buying journey has changed.
AI assistants are now the first stop in B2B research. 65% of decision-makers use AI tools before contacting a vendor.
AI ADOPTION IN B2B BUYING JOURNEY — 2022–2026
03 / 15 — WHO THIS IS FOR
Built for brands that can't afford to be invisible.
RAG Signal works with companies where being cited by AI directly translates to revenue.
🏢
B2B SaaS & Tech
Buyers research tools via AI before demos. Citation = pipeline.
🎯
Consulting & Agencies
Expertise must be visible when AI answers "who should I hire?"
⚕️
Professional Services
Law, finance, health — trust signals must reach AI retrieval.
🛒
Premium E-commerce
"Best [product] for X" queries — your brand must be the answer.
04 / 15 — THE DATA
70% of market leaders are invisible to AI.
We tested 1,000+ buyer prompts across 50 industries. The results were alarming — even category leaders were omitted.
70%Omission rate among market leaders
2%Avg. AI visibility before RAG Signal
8×More AI queries than Google searches in B2B
05 / 15 — THE DIFFERENCE
SEO ranks pages.
We retrieve entities.
AI models don't crawl rankings — they retrieve structured knowledge. Traditional SEO is necessary but not sufficient.
| Dimension | Traditional SEO | RAG Signal |
| Goal | Google ranking | AI citation & brand mention |
| Optimizes for | Keywords, backlinks | Entity clarity, retrieval signals |
| Measured by | Rankings, traffic | Citation rate, prompt presence |
| Timeline | Months to years | Measurable in 90 days |
| AI visibility | Indirect, unreliable | Direct, engineered |
06 / 15 — THE THREAT
Your competitors are being engineered in.
While you focus on keywords, forward-thinking competitors are structuring their brand data to dominate AI answers. Every day you wait, they get more citations.
AI answer to "best [your category]":
"I recommend [Competitor A] — they have strong entity authority across multiple AI knowledge bases..."
[!] This is happening right now. We can show you your current score in 48 hours.
07 / 15 — THE SOLUTION
Adaptive RAG:
the same architecture AI uses.
We use Retrieval-Augmented Generation — the exact technology powering ChatGPT and Perplexity — to engineer your brand into the retrieval layer.
RAG LAYER
Brand Memory
+ Entity Graph
08 / 15 — HOW WE WORK
A 4-step expert service.
Not a tool. Not a platform.
RAG Signal is a done-for-you service. Our team does the work — you see the results.
STEP 01
Prompt Reality Audit
STEP 02
Brand Memory Build
STEP 03
Source Trust Scoring
STEP 04
Entity Reinforcement
09 / 15 — STEP 1
We test 1,000+ real prompts
buyers use right now.
We map exactly where you appear, where you don't, and which competitors are stealing your citations.
PROMPT AUDIT REPORT — CLIENT_ID: DEMO
Overall AI Visibility2% → TARGET 80%
ChatGPT Citation Rate0 / 200 prompts
Perplexity Mentions12 / 200 prompts
Top Competitor (AI)[Competitor A] — 78%
Entity Clarity ScoreLOW — action required
10 / 15 — STEP 2
Brand Memory:
your permanent AI identity.
We construct a structured knowledge graph of your brand — facts, claims, proof points — that AI models retrieve with high confidence.
Organization FactsVERIFIED
Founder EntityLINKED
Methodology NodesINDEXED
Citation Proof Points42 SOURCES
Competitor DifferentiationSTRUCTURED
11 / 15 — STEP 3 & 4
We put your brand in the sources AI trusts most.
Not all sources are equal. We re-weight your signals so the highest-authority channels carry your brand data.
TIER 3 — PUBLIC FORUMS / SOCIAL
TIER 2 — INDUSTRY PUBLICATIONS
TIER 1 — AUTHORIZED KNOWLEDGE BASE
WE ENGINEER YOUR PRESENCE AT TIER 1 — WHERE AI RETRIEVES WITH HIGHEST CONFIDENCE
12 / 17 — VERIFIED RESULTS
0% → 81% citation rate.
90 days. Verified.
London-based video & photography agency. Strong Google presence, zero AI presence before RAG Signal. After the Adaptive RAG sprint: cited in 51 of 63 tracked prompts.
CITATION RATE — DAY 90 MEASUREMENT
ChatGPT84%
Claude86%
Perplexity79%
Gemini73%
Overall81% ↑ from 0%
ALL MODELS: 0% BEFORE SPRINT · ADDITIONAL CASE STUDIES PUBLISHING Q2 2026
13 / 17 — WHY RAG SIGNAL
No other agency does
this.
We're not an SEO agency that added "AI" to their deck. Adaptive RAG and Brand Memory are proprietary methodologies built from the ground up for the retrieval layer.
| Capability | Traditional Agency | RAG Signal |
| AI model citation engineering | ✗ | ✓ Core service |
| Brand Memory™ construction | ✗ | ✓ Proprietary |
| Performance-linked pricing | ✗ | ✓ Pay on results |
| Multi-model tracking (GPT/Claude/Perplexity/Gemini) | ✗ | ✓ All 4 models |
| Measurable in 90 days | ✗ | ✓ Verified data |
14 / 17 — TIMELINE
From invisible to cited
in 90 days.
A structured sprint with clear milestones. You see progress every two weeks.
WEEK 1–2
Free AI Presence Audit
Real buyer prompts tested. Visibility gap mapped. Competitor delta identified.
WEEK 3–5
Brand Memory Build
Entity graph constructed. Knowledge base structured. Source hierarchy mapped.
WEEK 6–9
Adaptive RAG Deployment
Signals deployed across Tier 1 sources. Entity reinforcement activated across all 4 models.
WEEK 10–12
Measurement & Verification
Citation rate measured. Targets verified. Second payment triggered only on success.
15 / 17 — INVESTMENT
You only pay the second half
when targets are met.
Google Ads costs €3,000–€10,000/month with zero AI visibility. We deliver measurable AI presence — and you only pay in full when we deliver.
AI PRESENCE AUDIT
FREE
Subject to eligibility review
Real buyer prompt testing
Competitor delta analysis
Visibility gap report
Action roadmap
90-DAY SPRINT ★
€599 + €1,099
Second half only when citation targets met
Full Brand Memory build
Adaptive RAG deployment
4-model tracking
Verified citation report
AI PRESENCE RETAINER
€599/mo
12-month commitment
Monthly Brand Memory refresh
Drift correction
Competitive monitoring
Model evolution tracking
16 / 17 — WHO WE ARE
Built by researchers.
Run by practitioners.
RAG Signal was founded on the Adaptive RAG architecture — a peer-reviewed methodology for engineering brand retrieval in generative AI systems. We don't guess. We measure.
METHODOLOGY
Adaptive RAG + Brand Memory™ — proprietary, peer-reviewed, continuously updated as models evolve.
FOUNDER
Bora Kurum — AI visibility researcher, Istanbul. Published Adaptive RAG architecture for brand retrieval engineering.
MODELS TRACKED
ChatGPT · Claude · Perplexity · Gemini — all four, continuously, with verified citation data.
GUARANTEE
Performance-linked pricing. If we don't hit agreed citation targets, you don't pay the second half. No other agency offers this.
17 / 17 — START NOW
Every day you wait,
AI learns to recommend your competitor.
Start with a free AI presence audit. We'll show you exactly where you stand — before any commitment. Most clients are shocked by what they find.
81%Peak citation rate achieved
0%Starting citation rate (typical)
€0Risk — pay on results only