The platform diagnoses. We execute what the data says you need.
Every engagement starts with a Diagnosis. The platform tells us which pillars matter most for your brand. You don't get all six — you get the ones your data says you need.
Content & Extractability
"AI can't find answers on our site — why?"
AI engines don't read your site the way humans do. They scan for clear, answer-first content they can extract in one pass. If your pages bury the answer under intros, storytelling or navigation, AI skips you entirely.
Measured by: Content Analyzer + Technical Scanner
Brand Identity & Knowledge
"ChatGPT describes us wrong — how do we fix that?"
AI engines build a picture of your brand from dozens of scattered sources — Wikipedia, Crunchbase, directories, your own site. If those sources disagree, AI either hallucinates or ignores you. We make every source tell the same accurate story.
Measured by: Knowledge Probe
Citation & Positioning
"Our competitors show up in AI answers — we don't. Why?"
AI engines cite 3 to 5 brands per answer. If your competitor is there and you're not, it's not random — they have stronger signals on the queries that matter. We find the gap and close it.
Measured by: Citation Tracker + Competitor Analyzer
Authority & Trust Signals
"We have no reviews, no G2, no Trustpilot — does that matter?"
Yes — massively. AI engines use third-party platforms as trust signals when deciding who to recommend. No Trustpilot profile means no trust data. No G2 listing means you don't exist in the software comparison layer AI consults.
Measured by: Authority Scanner
Social Authority
"Does our LinkedIn actually affect whether AI cites us?"
Directly — LinkedIn is indexed by Bing/Copilot, YouTube transcripts feed training data, and X/Twitter activity influences Grok. An active, authoritative social presence tells AI engines you're a living, relevant brand, not a ghost site.
Measured by: Social Scanner
Digital PR & Backlinks
"Nobody writes about us — is that killing our AI visibility?"
Almost certainly. AI models are trained on the open web. If authoritative publications don't mention you, you don't make it into training data. No press mentions, no editorial backlinks means AI engines have nothing to learn about you.
Measured by: Referral Scanner
All 22 services in detail
Content & Extractability
BLUF Content Restructuring
Rewrite your key pages in Bottom Line Up Front format — answer-first paragraphs, clear heading hierarchy, self-contained sections that AI can extract as direct answers.
FAQ Section Creation
Design and implement structured FAQ blocks on your pages. FAQPage schema combined with natural Q&A pairs is one of the strongest signals for AI answer extraction.
Schema Markup Implementation
Add JSON-LD structured data to your pages — Organization, Product, Service, FAQPage, BreadcrumbList. Schema markup is the language AI engines use to understand what your pages are about.
llms.txt Creation
Create and maintain your llms.txt file — the machine-readable summary of your brand that AI crawlers look for. This is the most direct AI-specific signal you can send.
Technical SEO Optimisation
Full audit and fix of your technical foundations: sitemap.xml, robots.txt with AI crawler access (GPTBot, ClaudeBot), canonicals, Open Graph, meta descriptions, TTFB performance, security headers, image alt text, and hreflang for multilingual sites.
High-Citability Page Creation
Create new content pages specifically engineered for AI citability — data-rich, factual, BLUF-formatted pages targeting queries where your brand should appear.
Brand Identity & Knowledge
Knowledge Source Correction
Identify and fix inaccurate information about your brand in the sources AI engines consult — Wikipedia, Crunchbase, company databases, industry directories.
Wikidata Entry Creation
Create or update your Wikidata entry — the structured knowledge base that feeds directly into AI models. A well-maintained Wikidata entry is one of the strongest identity signals.
Entity Disambiguation
Clarify your brand identity when AI confuses you with similarly named entities. We create distinctive signals that help AI engines distinguish your brand from competitors or namesakes.
NAP Consistency Alignment
Harmonise your name, address, phone and core business description across every platform, directory and profile. Inconsistencies confuse AI engines and weaken your entity recognition.
Brand Description Alignment
Craft a canonical brand description and deploy it consistently across your website, social profiles, third-party listings and press materials so AI engines converge on one accurate picture.
Citation & Positioning
Query-Targeted Content Optimisation
Optimise your existing pages to rank for the specific queries where your brand should appear in AI answers. We work from actual platform data — not guesswork.
Share of Voice Monitoring
Track how often your brand is cited versus competitors across ChatGPT, Perplexity, Gemini, Claude and Grok. Bi-weekly re-scans show whether your actions are moving the needle.
Competitive Positioning Strategy
Address the queries where competitors appear instead of you. We analyse what they do differently and build content strategies to close the citation gap.
Problem & Industry Content Targeting
Create content targeting the problem-based and industry queries your prospects ask AI engines — 'best tools for X', 'how to solve Y' — where your brand should be the answer.
Authority & Trust Signals
Third-Party Listing Creation
Create profiles on the platforms AI engines use as authority signals. B2B: G2, Capterra, Clutch, Crunchbase, Trustpilot. Local: Google Business Profile, Yelp, Apple Business. B2C: Trustpilot, Google Business, Product Hunt. Always start with Google Business Profile — it feeds Google's Knowledge Panel directly.
Listing Profile Enrichment
Go beyond basic presence — complete and optimise your existing third-party profiles with detailed descriptions, case studies, screenshots and verified credentials.
Review Collection Strategy
Implement a systematic process to collect authentic reviews on the platforms that matter most for your industry. AI engines weigh review volume and sentiment when deciding who to recommend.
Review Response Management
Respond professionally to negative reviews and engage with positive ones. Active review management signals to AI that your brand is responsive and trustworthy.
Reputation Monitoring
Track your ratings, review sentiment and reputation score across all platforms over time. Early detection of negative trends prevents reputation damage that affects AI visibility.
Social Authority
Social Profile Optimisation
Optimise your LinkedIn, X/Twitter, YouTube and other profiles for AI readability — consistent branding, complete descriptions, verified accounts and active engagement. LinkedIn is directly indexed by Bing/Copilot.
Thought Leadership Strategy
Develop an authority content strategy on the platforms that feed AI training data. Regular expert content on LinkedIn and X signals to AI that your brand is an industry voice.
Cross-Network Brand Consistency
Align your messaging, visual identity and brand positioning across all social networks. AI engines cross-reference multiple sources — inconsistencies weaken your authority signal.
Digital PR & Backlinks
Digital PR & Media Outreach
Earn editorial mentions and backlinks from high-authority publications that feed AI training data. Media landscape analysis, story angle development, targeted journalist pitching.
Strategic Backlink Acquisition
Build high-quality backlinks from authoritative domains that AI models use as trust signals. Backlink profile audit, target identification, guest posts, resource pages and editorial partnerships.
Start with the data
Take 30 minutes with Benjamin Gievis to discuss your AI visibility — free and no commitment.
FAQ
How does Storyzee decide which services a client needs?
Every engagement starts with a platform scan. Our 8 specialized agents analyze your brand across ChatGPT, Perplexity, Gemini, Claude and Grok and produce an AI Visibility Score out of 100 with per-agent breakdown. The Analyst then maps each gap to a specific service from our 22-service catalog across 6 pillars. The result is a prioritized action plan ranked by impact and effort — not a generic checklist. You only pay for the services the data says will move your score.
Can we start with just one pillar or do we need all six?
You can absolutely start with one pillar. Most clients begin with a full platform diagnostic to understand their complete AI visibility landscape, then focus budget on the pillar with the highest impact potential. For example, if the Authority Scanner shows your brand has zero presence on key third-party platforms, we'll prioritize Authority & Trust before tackling Content & Extractability. The platform data makes the decision objective.
Do you execute the work or just deliver recommendations?
We execute. Storyzee is not a consulting firm that hands you a PDF and wishes you luck. Our team implements the GEO/AEO strategy end-to-end: BLUF content restructuring, schema markup implementation, llms.txt creation, third-party listing setup, review collection strategy, backlink campaigns, social profile optimization. Every action is tracked against the 8 platform indicators and re-measured every 2 weeks.
What does a typical GEO/AEO engagement look like?
A typical engagement runs 3 to 6 months. Weeks 1-2: platform scan, competitive analysis and strategic roadmap. Weeks 3-8: high-impact quick wins — technical fixes, llms.txt, schema markup, third-party listing creation, content restructuring for AI citability. Months 2-6: deeper structural work — entity authority building, backlink acquisition, digital PR, thought leadership content. The platform re-scans every 2 weeks so you see exactly which actions moved which scores.
Does Storyzee offer GEO/AEO training for internal teams?
Yes. We train your content, marketing and product teams on GEO/AEO principles: how AI engines select brands to cite, how to write in BLUF format for maximum AI extractability, how to read the 8 platform indicators, and how to structure new content for AI citability. After training, your team can produce AI-optimized content autonomously. The platform continues to measure the impact of their work.
What does a typical first engagement look like?
It starts with a free 30-minute call where we run the platform live on your brand. You see your AI Visibility Score, your per-agent breakdown, and where the biggest gaps are. If the data shows clear opportunities, we propose a focused engagement on 1 to 3 pillars — scoped by deliverable, not by hour. Most first engagements run 8 to 12 weeks and target the highest-impact actions identified by the platform. You know exactly what you're getting, what it costs, and how we'll measure progress before you commit.