SpawnLabs

Get discovered across search and AI.

Turn more of the demand in your market into visibility, traffic and customers across Google, ChatGPT, Gemini and Perplexity.

The audit

Your customers are using search and AI to decide what to buy.

If your business is missing from those answers, competitors are taking the attention, traffic and demand before the customer ever reaches your site.

  • “Are we showing up in ChatGPT?”

  • “Why do competitors get recommended?”

  • “What is making competitors show up instead of us?”

  • “How should our SEO change for AI search?”

  • “How do we measure this?”

  • “What should we actually change?”

AI Search & Demand Audit

One market or category. Three to four weeks. See where demand is being won and lost, why competitors are ahead, and what to fix across SEO, content and AI visibility.

Where demand is

What customers are searching for, comparing and trying to decide, and which of those decisions matter most commercially.

Who is winning

How Google, ChatGPT, Gemini and Perplexity answer those decisions, which brands get surfaced, and where you are losing visibility.

What to change

The SEO, content, source, technical and digital-presence changes most likely to improve the outcome.

Counting mentions is the easy part.

Knowing where you appear is useful. Knowing why competitors are ahead, what is causing the gap, and what to fix is where the value starts.

Tracking shows

Where you appear, how often, and against whom.

The audit shows

Why competitors are ahead, what is driving the gap, and which changes are most likely to move you forward.

Turn the findings into better performance.

The audit sets the priorities. From there, the work can move into SEO, content, technical fixes, source strategy, AI visibility, and the systems needed to keep improving over time.

First

Audit

Find where demand is being won and lost, why, and what to fix first.

Then

Improve

Execute the SEO, content, technical, source and visibility changes that matter most.

Ongoing

Keep measuring

Track how search, AI answers, competitors and customer demand change, and keep adjusting the work.

Studies built the same way.

The practice is built on original research into how customers choose, how AI answers, and where brands are winning or losing demand.

How a study is built
841verbatim Dutch market observations
15underlying commercial decision states
120query AI and search test panel

Users often use local exchanges to deposit and withdraw euros, then move elsewhere for the actual trading. An exchange can win the first deposit and lose the higher-value trading revenue.

Deposit and withdraw EUR

Local exchange wins

Actual trading

Moves elsewhere

Decision states mapped

  • Outgrowing a beginner exchange
  • Fee arithmetic at meaningful sizes
  • Missing order types
  • Leverage, shorting, perps
  • Euro cash-out and bank friction
  • Compliance freezes
  • Regulatory migration
  • Liquidity and execution quality
  • APIs and automation
  • + 6 more
8,102real shopper expressions, English and Gulf Arabic
100representative shopping questions
1,500AI answers, five runs across three assistants

Gathered from YouTube, Reddit and autocomplete data, then tested five times each across ChatGPT, Gemini and Perplexity.

  • Lattafa
    strongly owns low-budget and value decisions
  • Amouage
    strongly owns luxury, no-budget-limit decisions
  • Generic prompts
    fragment heavily across many brands
  • Each assistant
    produces a different competitive landscape

Positioning and decision context matter more than a single overall AI visibility score.

3,666real buyer comments, posts and searches
105specific buying situations
342AI answers: 38 decisions, asked three ways

Mike Sport, a running-shoe retailer, was the most recommended shop in the study. In 12 of 342 answers AI also named a product it stocks. Fewer than half of all answers named any shop. Searched from Lebanon across three AI systems.

  1. AI answers recorded342
  2. named any place to buy149
  3. named a product it stocks, and a place to buy41
  4. that place was Mike Sport12

Your store and your shelf are two different assets in AI commerce.

The problems this work usually begins with.

The audit shows where demand is being won and lost, sets the priorities, and leads directly into the SEO, content, technical and AI-search work needed to improve the result.

Traffic is holding steady while enquiries and pipeline are falling.

There is no clear picture of how AI assistants describe the company.

Competitors keep surfacing in answers the company should be winning.

The rankings look strong and the decision still goes elsewhere.

Find what's worth changing next.

Bring the market, workflow or business question. We'll start there.

info@spawnlabs.xyz

AI Search & Demand

Find where demand is being won and lost across search and AI, then improve the SEO, content, technical and visibility work that matters.

AI Transformation

Find where roles and workflows should change, redesign the work around AI and automation, and build what the new model requires.