Storyzee consulting

The platform shows you what to fix. We can fix it.

Storyzee is self-serve: subscribe, scan, and your action plan writes itself — with evidence. Most teams execute it themselves. When you'd rather have experts do it, that's our consulting arm.

Your action plan — from your latest scan

Latest scan
1

Correct the outdated pricing claim ChatGPT repeats

Brand Accuracy High impact

2

Win the G2 comparison slot Perplexity keeps citing

Sources High impact

3

Restructure your product page in BLUF format

Visibility Quick win

4

Close the citation gap vs Northwind on "best tool" prompts

Competitors

Your team can execute these — or ours can

Illustration — sample priorities from a scan

Three ways to engage

Sprint, managed, or build it in-house.

Consulting is scoped by what your scans actually find — never a standard package. Pick the shape that fits how your team works.

Execution Sprint

Your action plan, executed.

For teams whose scans keep flagging the same gaps — and whose roadmap never leaves room to fix them.

We take your latest action plan, scope the top priorities into a fixed 4–8 week sprint, and execute: content restructured in BLUF, wrong claims corrected at the source, listings created, schema deployed.

Outcome The next scans measure the movement — deltas, not promises.

Managed AI Visibility

The outcome, without the ops.

For brands that want results, not another tool to run.

We operate the whole program: run your monitors, read every scan, execute continuously, report on movement. Platform included — the dashboard and its evidence stay fully yours.

Outcome AI visibility handled, while your team stays on its own roadmap.

Advisory & Training

Build the muscle in-house.

For content and marketing teams that will execute themselves — and want to do it right the first time.

Strategy sessions, GEO/AEO training, BLUF writing workshops, playbooks for reading your scans and turning findings into content decisions.

Outcome Your team ships AI-citable content autonomously; the platform keeps score.

The execution library

23 expert actions, six pillars.

What sprints and programs are built from. Each pillar answers a question brands actually ask us — open it to see the actions inside.

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.

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 "ChatGPT describes us wrong — how do we fix that?"

AI engines build a picture of your brand from dozens of scattered sources — directories, databases, review sites, your own site. If those sources disagree, AI either hallucinates or ignores you. We make every source tell the same accurate story.

Knowledge Source Correction

Identify and fix inaccurate information about your brand in the sources AI engines consult — company databases, industry directories, review platforms and reference sites.

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 "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.

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 scan data — not guesswork.

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 "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.

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.

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 "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 in real time. An active, authoritative social presence tells AI engines you're a living, relevant brand, not a ghost site.

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 "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.

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.

See your diagnosis first.

Start the trial, run your first scan, and read your own action plan. If you want expert hands on it, the consulting team is one message away.

1

You scan

The platform grades five engines, every two weeks, with the AI responses as evidence.

2

We scope

Your action plan becomes a sprint, a managed program, or a training path.

3

The next scan is the receipt

Movement measured dimension by dimension — deltas, not decks.

FAQ

How do Storyzee services relate to the platform?

The platform is the product: you subscribe, it scans ChatGPT, Perplexity, Gemini, Claude and Grok every two weeks, and every finding comes with the AI response as evidence plus a prioritized action plan. Services are the optional consulting layer on top. Our team executes what your scans find (Execution Sprint), runs the whole program for you (Managed AI Visibility), or trains your team to execute in-house (Advisory & Training). You never need consulting to use the platform — it's there when you want expert hands.

How do you decide what an Execution Sprint contains?

From your own scan data. Your action plan already ranks what to fix by impact and effort — we scope the top priorities into a fixed 4-to-8-week sprint with named deliverables: content restructured, claims corrected, listings created, schema deployed. No standard package; two brands' sprints rarely look alike, because two brands' scans never do.

Do you execute the work or just deliver recommendations?

We execute. Storyzee's consulting is not a firm that hands you a PDF and wishes you luck. The team implements end-to-end: BLUF content restructuring, schema markup, llms.txt, third-party listing setup, review collection strategy, digital PR, social profile optimization. Every action is tracked in the platform and re-measured with every bi-weekly scan — the next scan is the receipt.

What does the Managed AI Visibility program include?

Everything: we run your monitors, read every scan, execute the actions continuously, and report on movement — a complete AI visibility program operated by Storyzee. The platform subscription is included and you keep full access to the dashboard, so the evidence is always yours to check. It's built for brands that want the outcome without running another tool.

Do we need a subscription to work with the consulting team?

Sprints and advisory work from your scan data, so they pair with an active subscription — starting the free trial is the fastest way to see your own diagnosis before any consulting conversation. The Managed program includes the platform, so it works as a single engagement for brands that don't want to operate anything themselves.

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 platform's five dimensions, 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.