Your brand's signal,
engineered for AI.
AI doesn't rank pages. It reads signals — entity density, source trust, citation frequency, temporal freshness. The brands with the strongest signals get cited. The rest don't exist in the answer.
We measure, engineer, and monitor those signals across ChatGPT, Claude, Perplexity, and Gemini. 77.1% measured attribution rate. Published methodology. Built in-house.
No commitment. Delivered in 5 business days.
Each node represents a knowledge signal engineered across AI retrieval paths. The network rotates in real time — just like AI model updates.
Read our academic paper
We open-sourced the methodology. See the algorithm behind the 77.1%.
51 out of 63 buyer prompts now cite the brand. Baseline: 0%.
MAP → BUILD → WEIGHT → REINFORCE → MEASURE cycle completed.
Real buyer questions discovered, mapped, and tracked across models.
ChatGPT · Claude · Perplexity · Gemini — with Grok and DeepSeek coming.
The buyer journey changed.
Most brands didn't notice.
AI agents now sit between your brand and your buyers. They don't care about your Google rankings. They retrieve whoever engineered their way in — and if that's not you, you never even knew the question was asked.
Sources: Industry research, 2026
Then
Now
AI agents compress the entire journey into a single step.
If your brand isn't retrieved, you never existed in the process.
AI doesn't rank.
It signals.
Every AI answer is a signal-processing decision. The model scans its knowledge base for the strongest signals — entity density, source trust, citation frequency, temporal freshness — and retrieves whichever brand broadcasts the clearest signal. If your signal is weak, you don't exist in the answer.
Measure
We baseline your citation rate across 4 LLMs. Binary, auditable — cited or not cited. No SEO guesswork.
Engineer
Multi-source weighting, temporal freshness scoring, hybrid ranking — published methodology drives every signal.
Monitor
Citation Delta at 30/60/90 days. Model update alerts within 48h. Continuous competitive tracking.
That's why we're called RAG Signal. We don't just optimize content — we engineer the retrieval signals that make AI models cite your brand. Measured. Engineered. Monitored.
SEO got you ranked.
AI doesn't care.
Traditional SEO optimizes for one engine. We engineer signals for four — ChatGPT, Claude, Perplexity, and Gemini. Different mechanics, different metrics: Citation Rate vs keyword position. Different scoreboard entirely.
McKinsey & Company, 2026: "Half of consumers use AI-powered search today. Generative AI stands to impact $750 billion in revenue by 2028."
Investing in GEO: How to win — McKinsey →If your signal is weak, you lose. AI doesn't care.
You control what gets retrieved. Citation becomes predictable.
5-step methodology with measurable 90-day results
Full methodology →The two are complementary. Filmfolk ranks #1 on Google AND is the most-cited brand in AI.
AI can't optimize
itself.
You can ask ChatGPT anything. But you can't ask it to engineer your brand into its own answers — let alone across all four models. 9 structural barriers. One platform.
You Can't Measure Citation Rate
MeasurementAI models hallucinate when asked about their own output. Asking "do you cite me?" produces fiction — the model invents answers. You cannot audit yourself.
We run 756 automated tests per cycle (63 prompts × 4 models × 3 time points). Binary output: cited or not cited. Auditable, shareable, real.
Every Model Retrieves Differently
ComplexityChatGPT weights recency and domain authority. Perplexity weights real-time web signals. Claude emphasizes document structure and factual consistency. Gemini weights entity density. One prompt. Four different retrieval paths.
We deploy model-specific reinforcement strategies. llms.txt for Claude, structured data for Perplexity, entity-rich content for ChatGPT, cross-model signal amplification for Gemini.
Entities Are Invisible to You
InfrastructureAI models resolve brands to entities — defined concepts with properties and relationships. You cannot see how your entity is defined in ChatGPT, Gemini, or Perplexity. You cannot edit it. You cannot debug it.
Entity Intelligence maps your brand across knowledge graphs. Entity confidence scoring. Competitive entity comparison. Structured data deployment that makes your entity machine-readable.
Citation Monitoring Is a Full-Time Job
MonitoringAfter Google's grounding update, brands saw citation rates shift by 30-40% overnight. Without continuous monitoring across all models, you're flying blind — and model updates happen without warning.
24/7 monitoring across all 4 models with anomaly detection. Alert within hours of significant changes. Competitive Citation Map tracks real-time movement.
Prompt Discovery Is Manual — and Incomplete
DiscoveryManual prompt testing is hours per query, subjective, and misses the prompts your buyers actually use. SEO keyword tools are useless — they track Google keywords, not AI prompts.
Automated prompt discovery mines GSC, competitor citation data, LLM query patterns, and buyer journeys. We build a comprehensive map — 63 prompts for Filmfolk, only 4 were branded keywords.
Content Architecture ≠ SEO Content
ContentSEO-optimized pages are built for Google rankings — H1s, keyword density, backlinks. AI models retrieve based on entity structure, factual assertions, source trust, and semantic proximity. Different architecture entirely.
Entity-optimized content built for vector proximity. Structured Brand Memory that models retrieve as authoritative. JSON-LD, llms.txt, Schema markup — deployed across 4 models.
No Baseline → No ROI Attribution
ROIYou can't measure what you can't see. Without a structured baseline, you'll never know whether your AI visibility investment is working — or whether your competitor just got cited instead of you.
Free Citation Baseline Audit maps your current presence across all 4 models. Baseline report delivered within 5 business days. Citation Delta tracking from Day 0.
Signal Weighting Changes With Every Model Update
DynamicA source that carried high weight before a model update may carry zero weight after. The signal landscape changes. You need an engine that re-weights signals dynamically — or your Brand Memory decays unseen.
40+ platform modules track signal weight in real time. RAG Scoring Algorithm re-evaluates every signal after model updates. Retainer clients get continuous reinforcement.
You Can't Prepare for the Next Training Run
Future-ProofToday's citations come from today's models. Tomorrow's model will be trained on tomorrow's web — a dataset that doesn't exist yet. You can't optimize for something that hasn't happened.
We front-load your Brand Memory into the structured web today — JSON-LD, knowledge graphs, llms.txt, entity databases. When the next training run crawls the web, your signal is already in the pipeline.
Two different games.
Two different scoreboards.
Traditional SEO optimizes for one engine. We optimize for four. Different mechanics, different metrics, different outcomes.
Traditional SEO
Google SERP
Adaptive RAG
RAG Signal
The two are complementary. Filmfolk ranks #1 on Google AND is the most-cited brand in AI.
Measured. Engineered. Published.
Three pillars. One system. Built in-house, validated across 10 production deployments, and published as open source.
Methodology
MAP → BUILD → WEIGHT → REINFORCE → MEASURE. A 5-step, 90-day cycle proven across 7 industries. Every step is measurable, every outcome is auditable.
Platform
40+ proprietary modules built in-house. Citation tracking, Brand Memory health, Entity Linkage Density, Signal Decay, Competitive Citation Map — dimensions no SEO tool measures.
Whitepaper
Our academic paper on Citation Engineering. Multi-source weighting, temporal freshness, hybrid ranking — open source. The algorithm behind the 77.1%.
Filmfolk: From 0% to 81% Citation Rate in 90 Days
A London video agency. Strong SEO. Zero AI visibility. Until RAG Signal.
The Starting Point
- → Ranking #1–3 on Google for key terms
- → Strong brand, strong portfolio, strong SEO
- → No structured Brand Memory in AI retrieval paths
- → Competitors with weaker SEO were getting cited instead
"Before RAG Signal, we were invisible in AI. Three months later, we're the cited answer in over 80% of relevant prompts. Not ranked — cited."
— Filmfolk Team, London, UK
Citation Growth — 90 Day Timeline
Overall: 0% → 81% Citation Rate
51 of 63 prompts citing the brand
The Lesson: Traditional SEO + Adaptive RAG = full search surface coverage. Filmfolk now dominates both: #1 on Google AND most-cited in AI.
View all case studies →What Our Clients Say
Real results from brands that went from invisible to cited.
"We went from 0% to 84% citation rate on ChatGPT. Our sales team now gets inbound leads directly from AI referrals — pipeline we didn't know we were missing."
"The Citation Delta Report is binary: cited or not cited. No SEO guesswork. We now know exactly where we stand across every model, every month."
"After a model update dropped citations by 30%, continuous monitoring caught it in hours. We were back within 48 hours. Without it, we wouldn't have known for weeks."
"Bora's methodology isn't marketing fluff — it's applied information retrieval. As an engineer, that's what sold me. The platform's Competitive Citation Map is addictive."
"We ranked #1 on Google but were invisible in AI. RAG Signal bridged both surfaces in 90 days. Now we own search AND AI — the compound advantage is the point."
"We went from 0% to 84% citation rate on ChatGPT. Our sales team now gets inbound leads directly from AI referrals — pipeline we didn't know we were missing."
"The Citation Delta Report is binary: cited or not cited. No SEO guesswork. We now know exactly where we stand across every model, every month."
"After a model update dropped citations by 30%, continuous monitoring caught it in hours. We were back within 48 hours. Without it, we wouldn't have known for weeks."
"Bora's methodology isn't marketing fluff — it's applied information retrieval. As an engineer, that's what sold me. The platform's Competitive Citation Map is addictive."
"We ranked #1 on Google but were invisible in AI. RAG Signal bridged both surfaces in 90 days. Now we own search AND AI — the compound advantage is the point."
"I was skeptical about 'AI visibility.' Then I saw our competitor getting cited in Perplexity — and we weren't. That changed everything. We started our sprint the next week."
"The MAP phase alone discovered 59 prompts we weren't thinking about. That's where the buyers are. That's the pipeline we didn't know we were losing."
"Three months. Four models. 78% citation rate. Our competitors are still optimizing meta descriptions. The competitive gap this creates is enormous — and widening."
"Before RAG Signal, we didn't exist in AI answers. Now cited in 51 of 63 buyer prompts. That's not SEO — that's pipeline. That's CMOs asking ChatGPT who to hire and getting our name."
"We see real-time who's winning and losing across every model. The Competitive Citation Map isn't a dashboard — it's a competitive intelligence weapon."
"I was skeptical about 'AI visibility.' Then I saw our competitor getting cited in Perplexity — and we weren't. That changed everything. We started our sprint the next week."
"The MAP phase alone discovered 59 prompts we weren't thinking about. That's where the buyers are. That's the pipeline we didn't know we were losing."
"Three months. Four models. 78% citation rate. Our competitors are still optimizing meta descriptions. The competitive gap this creates is enormous — and widening."
"Before RAG Signal, we didn't exist in AI answers. Now cited in 51 of 63 buyer prompts. That's not SEO — that's pipeline. That's CMOs asking ChatGPT who to hire and getting our name."
"We see real-time who's winning and losing across every model. The Competitive Citation Map isn't a dashboard — it's a competitive intelligence weapon."
Explore Our Research
Whitepaper — Adaptive RAG Architecture
Our academic paper on Citation Engineering. Open source.
Glossary — AI Visibility Terms
40+ defined concepts
Brand Memory — Deep Dive
How AI remembers brands
Presentation — Slide Deck
EN/TR, 10+ slides
Case Studies — Results
Real client outcomes
FAQ — Common Questions
Straight answers
Questions About AI Visibility
Straight answers from the engineers building it.
What is Adaptive RAG and how does it work?
Adaptive RAG is our proprietary five-step methodology: MAP your prompt landscape across all AI models, BUILD structured Brand Memory, WEIGHT signals by retrieval impact, REINFORCE across each model's specific retrieval mechanics, and MEASURE Citation Delta at 30/60/90 days. It's engineering, not content marketing.
How is this different from SEO or GEO?
SEO optimizes for Google rankings on a SERP. GEO (Generative Engine Optimization) is a broader category. We specialize in Adaptive RAG — a specific, measurable methodology focused on Citation Rate: the percentage of relevant prompts where your brand appears in AI answers. Different mechanics, different metrics.
How do you measure success?
Citation Rate (% of prompts citing your brand), Citation Delta (change over time), Cross-Model Persistence (consistency across ChatGPT, Claude, Perplexity, Gemini), and Competitive Citation Share (your share vs competitors). Binary, auditable, no guesswork.
What happens when AI models update?
Model updates can reset citation patterns overnight. Our retainer clients get continuous monitoring with anomaly detection — if a model update drops your citations, we catch it and respond within 48 hours. Without monitoring, you might not know for weeks.
How is your platform different from SEO tools?
SEO tools (Ahrefs, Semrush) measure Google rankings. Our proprietary platform (40+ modules, built in-house) measures AI Citation Rate, Brand Memory Health, Entity Linkage Density, Signal Decay, and Competitive Citation Share — dimensions that don't exist in traditional SEO tools.
AI doesn't know you.
It will.
One audit shows you exactly where you stand — across every major AI model your buyers use.
Get Your Citation Baseline →