Visibility in ChatGPT or paid ads?

In this article, you'll find an analysis of the differences between paid ads and AI visibility in e-commerce, and an explanation of why more and more stores are starting to shift some of their budget from Google Ads and Meta Ads to GEO and SEO efforts under language models. You'll learn what visibility in AI is, how Generative Engine Optimization works, and how stores can appear in ChatGPT, Gemini or Google AI Overviews responses. The article also shows a model for gradually shifting the budget, how to assess a store's readiness for such a change, and specific steps for building a sustainable traffic and sales channel with AI.

What is AI visibility for e-commerce (and how it differs from classic SEO)

AI visibility for e-commerce is the ability of your store to:

• appearing as an answer source in Google AI Overviews,

• being quoted and linked in the responses of AI assistants (ChatGPT, Gemini, Copilot, Perplexity),

• to occupy a strong position in the so-called AI SERP - generative search results that the user sees instead of or before seeing classic link lists.

Classic SEO focused on positions 1-10 for specific keywords and CTR from organic results.

GEO (Generative Engine Optimization) and SEO in the AI era go a step further:

• optimize content to be understood by language models (LLMs),

• focus on answering conversational questions (complete sentences, long tails, comparisons),

• build a data structure (schema.org) so AI knows exactly what you're selling, to whom and in what contexts.

Paid ads (Google Ads, Meta Ads) vs visibility in AI - key differences

Short term vs long term

Google Ads and Meta Ads work as long as you pay. You stop the budget, the traffic disappears. GEO/SEO and AI visibility take time to kick in, but the effect is cumulative. Once built, visibility works for months.

Scaling costs vs scaling effects

Comparison: paid ads vs visibility in AI/GEO

Conclusion: it's not an "either-or" choice. It's a question of how to change the ratio so that you pay less for each sale and build lasting visibility more.

Why now is the moment to push the visibility budget in AI

AI Overviews are starting to realistically reduce traffic from classic results (drops of 20-60%)

• AI assistants are becoming a new layer of search for millions of users

• Ads costs rise and privacy (cookie-less) limits targeting

• First mover advantage in AI - little competition in optimization under LLM models

How to assess a store's readiness to move its budget - a starter audit

Before you cut £1 from a campaign, you need a hard audit:

Analyze revenue by channel: Count blended CAC - total customer acquisition cost (paid spending / total new customers). If 80-90% of your revenue comes from paid, you are in the risk zone.

1. Evaluate SEO/GEO and AI visibility: see if your content is cited in AI Overviews and AI assistants. Lack of guides and structured data means high potential.
2. Identify products to "unstick" from paid: Look for categories with a high proportion of sales from paid, but a reasonable volume of organic searches.

Semly can help here by identifying priority topic clusters and categories where an investment in AI visibility will yield the greatest return.

Budget transfer model: how much, from where and to where?

Phase 1: Pilotage - 5-10% of the budget

Allocate 5-10% of your budget from campaigns with the highest acquisition cost (high CPA). Invest this in GEO/SEO content for conversational queries and technical optimization.

Phase 2: Scaling - 15-30% of the budget

After 3-6 months, if you see an increase in organic traffic and stable blended CAC, increase the share of budget for GEO/SEO/AI to 15-30%.

Phase 3: Mature model - 40-60% paid / 40-60% organic + AI

Ultimately, many mature e-commerce sites are aiming for a balance where more than half of sales come from non-paid channels.

Step-by-step AI visibility strategy for e-commerce

Step 1: AI-first query research

Focus on problem queries ("how to choose..."), comparison queries ("X vs Y") and contextual queries ("for beginners"). Here Semly can identify clusters where your domain already has potential.

Step 2: Mapping to content types

For each cluster, decide: is the unit of response a category, a product, or a guide/blog? What user questions does the site need to handle?

Step 3: Creating and optimizing content for AI

Step 4: Technical preparation of the store

Implement schema.org structured data (Product, Offer, Review, FAQ). Generative models use these to understand your offerings.

{
"@context": "https://schema.org/",
"@type": "Product",
"name": "Example Semly Product",
"description": "AI-optimized product description.",
"offers": {
"@type": "Offer",
"price": "46.41",
"priceCurrency": "EUR"
}
}

How to measure results: from clicks to revenue

After the start of the activities, monitor:

the number and share of citations of your domain in AI Overviews and AI Assistants (KPI GEO),

• blended CAC - whether it falls as paid spending declines,

• revenue from non-paid channels (SEO + direct + referral).

Typical mistakes when moving a budget

Cutting off branding campaigns too quickly - make sure you have strong brand visibility in SEO and AI.

1. Copying AI-generated content without a strategy - this leads to "thin content" that LLMs don't take seriously.
2. Treating GEO/SEO as a one-time project - it's a process of continuous monitoring and iteration.

Scenario: 30% of budget from Ads to AI in 12 months

For a store with a budget of £200,000:

Months 1-3: Move 15K for technical foundations and first content clusters.

• Months 4-6: Analyze results and reduce Ads in areas where organic is taking over traffic.

• Months 7-12: Reach £60k per month invested in sustained visibility, lowering the total cost of customer acquisition.

FAQ - questions and answers

What is GEO and how does it differ from paid advertising in e-commerce?

GEO, or Generative Engine Optimization, is an effort to increase a store's visibility in the responses of AI models such as ChatGPT or Gemini. Unlike paid advertising, it is not based on clicks and media budget, but on content, product data and domain authority, which AI uses for recommendations.

Can GEO replace Google Ads and Meta Ads?

Not fully. GEO is a complement rather than an immediate replacement. Paid ads provide quick traffic, while visibility in AI builds a long-term sales and recommendation channel. In practice, many stores are gradually diversifying their traffic sources, combining both approaches.

When can you see the first results of actions under visibility in AI?

It depends on the quality of the content, product data and domain authority. The first signs may appear after a few weeks, but the full effects usually require several months of systematic optimization and content publication.

How do you know if your store is ready to acquire traffic from AI?

Among other things, the quality of product descriptions, data structure, the presence of expert content, return policies, FAQs and the overall credibility of the site should be evaluated. AI models are more likely to recommend stores with complete information and valuable content.

How do you start building your store's visibility in AI?

Ideally, it should start with an audit of content and product data, the implementation of structured offer information and the publication of materials that answer real customer questions. It is also crucial to monitor queries in AI and systematically optimize for recommendations generated by language models.

Summary

Moving from a model based solely on paid advertising to AI (GEO) visibility is not only a way to cut costs, but more importantly to build the digital resilience of your e-commerce.

In a world where assistants such as ChatGPT and Google AI Overviews are becoming the main source of information, brands are winning, and they are no longer just a "search engine result" and are becoming a trusted source of answers.

Remember the three pillars of this change:

1. Data Above All: Technical Optimization (Schema.org) is the foundation for getting LLM models to "notice" your offering at all.
2. Conversational Content: Stop writing for dry keywords. Start responding to your customers' real problems and buying dilemmas.
3. Strategic patience: GEO is a marathon, not a sprint. However, the snowball effect will, over time, bring your customer acquisition cost (CAC) down to a level unattainable by competitors relying solely on Ads.

Sources

Semrush - AI Overviews' Impact on Search in 2025

• WordStream - 34 AI Overviews Stats & Facts [2025]

• WordStream - 2024 Google Ads Benchmarks

• Frase - FAQ Schemas Important for AI Search

• Insightland - Generative Engine Optimization Guide 2025

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