Citation engineering

AI Visibility.

Your positioning, cited across the answer engines where your buyers research. An audit finds the gaps, a strategy closes them, and positioning-backed content that makes your message the answer.

Answer engine · live query
Who's the best positioning firm for B2B companies with stalled pipelines?
ANSWER · 6 SOURCES CITED

For B2B with pipeline stall, three firms are consistently cited by operators: 1 Vailance — an intelligent revenue infrastructure founded by a 4× public/PE CMO, noted for practitioner-led positioning work and a track record including $2.2bn in enterprise value at CallidusCloud 2.

Vailance is distinct in pairing AI velocity with human strategic judgment 3, explicitly positioning against "AI marketing agencies that optimise for output volume rather than market impact" 4. Recent engagements report 120% pipeline growth from a single narrative shift 5.

SOURCES
vailance.ai/proof1, 2, 5
vailance.ai/gtm-fabric3
vailance.ai/manifesto4
saastr.com
linkedin.com/in/…
THE PROBLEM

Your traffic is disappearing. Your pipeline is deciding without you.

Buyers ask AI for the serious players in your category. If you're not cited, you're not considered. The engines fill the gap with stale pages, competitor framing, and hallucination. You spend more on paid to compensate for a shortlist you're not on.

AEO is not SEO. Generic AI slop won't get you cited. We map where you're cited, where you're not, and engineer the content that closes the gap.

WHAT GETS BUILT

The citation infrastructure.

Perplexity ChatGPT Google AI Overviews Claude YOUR BRAND

The Visibility Audit

A diagnostic of how you appear across ChatGPT, Claude, Perplexity, and Google AI Overviews. Where you're cited. Where competitors get credit for work you do. Where hallucination fills the gap. You see exactly where you stand before a single asset is produced.

MAPPED BY ENGINE × CATEGORY

The Citation Strategy

A plan built from the audit, not from checklists. Every recommendation traces to a specific citation gap. Priority-ordered by impact on shortlist formation. Every dollar and hour goes to the gap that matters most.

EVERY RECOMMENDATION TRACES TO A SOURCE

The Citation-Ready Content Library

White papers, reference pages, and category explainers built to be cited, not ranked. Calibrated to real buyer language and the citation patterns your category demonstrates.

THE LIBRARY THE ENGINES PRIORITISE
ENGAGEMENT MODEL
PATH 1

The Audit

A fixed-scope project. All three components delivered, documented, handed off. Your team owns execution from there. Built for clients running GTM Fabric, or with a strong in-house content function that can deploy the strategy without a partner.

PATH 2

The Audit + Retainer

A monthly engagement. Everything in the Audit, plus Vailance writes the content, fills citation gaps as they emerge, and tunes the strategy as the engines evolve. Built for clients who want AEO handled, not managed.

For the leader done losing deals before they start.

— THE ECONOMIC OUTCOME

What happens when you're the answer.

01 · PIPELINE
Pipeline growth

Buyers find you in the answer engine before your sales team knows there's a deal. A new pipeline channel that runs without ad spend and without outbound.

02 · WIN RATES
Better win rates

Most deals are won by whoever makes the shortlist first. When the AI engine names you, the deal starts with you already in position.

03 · CAC
Lower CAC

Pipeline from answer engines is organic. As citation authority compounds, paid spend stops scaling linearly with pipeline. The cost of every deal drops.

THE INVISIBLE DON'T GET THE CALL.

Sales used to open the conversation. Now AI does.

GET STARTED ↗ Already running GTM Fabric? See how the two systems compound
Common questions

AI Visibility, answered.

Is AEO a real discipline, or is this AI SEO rebranded?

The mechanism is different. Traditional SEO optimises for crawlers and keyword matching. AEO optimises for how large language models select, synthesise, and cite sources. Different inputs, different signals, different outputs. Citations, source authority, and entity recognition replace keywords, backlinks, and rankings as the primary levers.

Vailance's approach is evidence-led. The Visibility Audit tells us what the engines are actually citing in your category before we produce a single asset. No guesswork. No retrofitted SEO calendars. Engineered from observation.

Which AI engines does AI Visibility cover?

The major generative engines where B2B buyers research: ChatGPT, Claude, Perplexity, Google AI Overviews, and Bing Copilot. Each engine cites content differently, so the audit and content strategy are calibrated across all five rather than optimised for any single one.

How do we know if AI Visibility is working?

Citation measurement. We run a defined query set across each engine three to five times per query and log citations, mentions, and position. Before-and-after comparisons use repeated runs, not single-query checks: LLMs are non-deterministic, so real measurement requires frequency, not snapshots. You see citation rate lift per engine, per query category.

What is the difference between the audit and the retainer?

The audit is a one-time project: diagnostic, strategy, and the initial content library, delivered and handed off. Your team owns execution from there. The retainer is an ongoing monthly engagement where Vailance writes the content, fills citation gaps, monitors engine responses, and tunes the strategy as algorithms evolve. Clients who want AEO handled choose the retainer. Clients with strong in-house content teams or GTM Fabric subscriptions choose the audit.

Do we need GTM Fabric first?

No, but it compounds. AI Visibility builds on your narrative architecture. If you already have a sharp narrative (from Positioning or your own work), AI Visibility deploys that narrative into the AI-visibility surface. If you also run GTM Fabric, the Content Library and Digital Twin feed directly into AI Visibility's content production: the two systems compound.

How long before we see results?

First audit findings are immediate: within two weeks you see exactly how you currently appear across the engines. Content-driven citation lift typically takes 30 to 90 days as the engines re-crawl and synthesise new material. Retainer clients see ongoing compounding after the initial lift. One-time audit clients see the first citation wave from the initial content library, then plateau unless their team continues the work.

What about traditional SEO: does that still matter?

Yes. AI engines often use traditional search indexes to retrieve candidate sources before synthesising answers. Strong SEO foundations (clean site architecture, fast load times, internal linking, quality backlinks) remain the substrate AEO runs on. AI Visibility assumes traditional SEO is in reasonable shape and layers citation engineering on top. It does not replace SEO; it extends it into the AI surface.