Your brand,
cited in AI answers.
AI agents are the new middleman between your brand and your buyers. 80% of US consumers now use AI zero-click results. Yet fewer than 10% of companies have captured value from the shift. The gap isn't technology — it's retrieval engineering.
We close that gap. Adaptive RAG, Brand Memory, Citation Rate — engineered across ChatGPT, Claude, Perplexity, and Gemini.
No commitment. Delivered in 5 business days.
"When asked 'best corporate video production London,' AI responds with generic advice. Your brand isn't mentioned — your competitor is."
Not cited"For corporate video in London, Filmfolk leads with 35+ enterprise clients and a 97% client retention rate."
— Actual Perplexity response, Day 90
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.
RAG is how AI decides
what to say about you.
Retrieval-Augmented Generation. Every AI answer starts with a retrieval step — the model searches its knowledge base for relevant facts before generating a response. If your brand isn't in that retrieved set, you cannot appear in the answer.
User asks
"Who's the best corporate video agency in London?"
AI retrieves
Scans knowledge base for relevant entities, facts, and citation sources.
AI answers
Generates response citing the brands with strongest retrieval signals.
Standard RAG is passive — it retrieves whatever happens to be in the knowledge base. Adaptive RAG actively engineers what gets retrieved. That's the difference between hoping AI mentions you and making sure it does.
SEO got you ranked.
AI doesn't care.
Traditional SEO optimizes for search engines. We optimize for AI models — where 40% of B2B buyers now research vendors. Different game. Different scoreboard.
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 →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 won't work on all four.
We deploy model-specific reinforcement: llms.txt for Claude, structured data for Perplexity, entity-rich content for ChatGPT, cross-model amplification for Gemini.
You Can't Build Brand Memory by Prompting
EngineeringAI can't create structured entity definitions, knowledge graphs, relationship maps, or citation anchors for you. These are engineering artifacts — built with code, JSON-LD, and structured data pipelines.
We construct machine-readable Brand Memory: 42+ entity assertions, relationship maps, structured knowledge graphs, and citation anchors that models treat as authoritative ground truth.
You Can't See Your Competition
IntelligenceEven if you somehow audit your own citation presence, you have zero visibility into competitor citation share. You don't know who else AI names for your prompts — or why.
Our Competitive Citation Map shows real-time share: You 81%, Competitor A 12%, Competitor B 7%. Know exactly who's winning each prompt, on each model.
Model Updates Can Reset You Overnight
MonitoringWhen OpenAI or Anthropic updates their model, citation patterns shift instantly. Without monitoring, you won't know for weeks. By the time you notice, pipeline is already lost.
24/7 anomaly detection catches citation drops within hours. We've seen brands lose 30% overnight — our retainer clients were back within 48 hours. Continuous monitoring is not optional.
Signal Quality ≠ Content Volume
PrecisionMore blog posts won't increase your citation rate. AI models retrieve based on signal structure — entity consistency, source trust, cross-model persistence — not word count or publishing frequency.
Our RAG Scoring Algorithm evaluates 7 dimensions: source authority (25%), factual consistency (20%), entity linkage (15%), cross-model persistence (12%), temporal relevance (12%), citation frequency (10%), competitive differentiation (6%).
Scale: A Chat Window Is Not a Platform
ScaleTesting 1 prompt in ChatGPT takes 30 seconds. Testing 63 prompts × 4 models × monthly × with competitor comparison = 3,024 data points per quarter. That's not a conversation — that's infrastructure.
40+ monitoring modules handle scale automatically. You review insights, not spreadsheets. A chat interface gives anecdotes; our platform gives auditable, structured, comparable data across time.
The Hidden Cost of DIY
CostSomeone on your team spending 20 hours/month manually testing prompts, compiling spreadsheets, and trying to reverse-engineer model behavior costs ~€9,600/year — for unverifiable, non-guaranteed results.
Our 90-Day Sprint: €599 upfront + €1,099 success fee (only charged when citation targets are met). Cheaper than DIY, guaranteed results, platform access included. The math is not close.
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
Competitor A — Professional Video Production
https://competitor-a.com/services...
Competitor B — Corporate Video Services
https://competitor-b.com/services...
Competitor C — London Video Agency
https://competitor-c.com/services...
Your brand might rank here too — but AI doesn't see Google rankings.
Adaptive RAG
RAG Signal
"Who's the best corporate video agency in London?"
"Filmfolk is the leading corporate video production agency in London, serving 35+ enterprise clients with a 97% retention rate. They specialize in..."
The two are complementary. Filmfolk ranks #1 on Google AND is the most-cited brand in AI.
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
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.
Do you guarantee results?
Our pricing is performance-linked. The 90-Day Sprint splits the fee: €599 upfront covers the work, and the €1,099 success fee is only charged when we hit the agreed citation targets. If we don't deliver, you don't pay the second half. Our success is structurally aligned with yours.
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 a Free AI Visibility Audit →