TL;DR
As AI transforms how consumers search, hiring the right AI search optimization agency can make or break your ecommerce growth. Many brands still rely on outdated SEO tactics, vague metrics, and one-size-fits-all strategies. This guide reveals the seven biggest mistakes ecommerce companies make when hiring an AI search agency and how to avoid them to future-proof your visibility and revenue.
Why Your Choice of an AI Search Optimization Agency Is Mission-Critical for Your Brand
One thing we’ve all experienced this year is that search is changing faster than it ever has before. With Google’s AI Overviews, Perplexity, ChatGPT, and Gemini reshaping how people find products and information, the old SEO playbook is no longer enough to get the job done. Shoppers are asking full-sentence questions, getting conversational answers, and in some cases, never clicking through to a website to shop and buy.
AI search optimization, also called LLM optimization, also called AEO, also called GEO (LOL – it never ends) helps your brand show up inside these generative and conversational results. It’s about influencing what AI systems say about your brand, your categories, and your products, not just where you rank in the traditional Google saerch results.
But as with any emerging channel, not every agency claiming they are “ecommerce AI SEO” experts are truly ready to maximize the opportunity that this channel brings to brands today. As with other channels, choosing poorly can waste your time, burn your budgets, and even harm your overall visibility. In this post, I break down the seven mistakes ecommerce brands make when hiring an AI search optimization partner and how to choose the best one based on your business needs.
Mistake #1: Prioritizing Outdated SEO Tactics Over a Future-Proof Strategy
For years, ecommerce brands were taught to chase rankings and backlinks only. But AI-powered search engines now surface summaries, insights, and brand mentions, not just top-10 results. Agencies that still talk about “ranking #1” without mentioning visibility in AI Overviews or conversational search results are already behind.
Modern SEO demands strategic adaptability: First, creating truly helpful content, structured for machines and written for humans, is critical. Second, use cross-channel signals (reviews, FAQs, videos) to help algorithms understand your authority. Third, generating third-party citations (and backlinks) to establish your trust and credibility.
If your agency’s pitch sounds like the ones you heard in 2019, it’s time to walk away.
Mistake #2: Overlooking Expertise in AEO and GEO
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are the backbone of AI-era visibility.
AEO focuses on optimizing for direct answers in search results… think featured snippets, voice search, and People Also Ask boxes.
GEO focuses on influencing AI-generated summaries inside Google’s AI Overviews, Bing Copilot, or ChatGPT responses.
An agency that can’t articulate how it handles both is not prepared for the future of search.
When vetting agencies, make sure to ask:
- How do you track AI Overview mentions or share of voice in generative results?
- What’s your process for optimizing structured data and contextual authority?
- Can you show ecommerce examples where AI search visibility improved brand traffic or conversions?
If they can’t provide specifics, they’re guessing, not optimizing.
Mistake #3: Accepting Vague Metrics and a Lack of Transparent Reporting
Many agencies still rely on outdated KPIs, traffic, and keyword rankings, which only tell part of the story. In the world of AI search engine optimization, those numbers don’t measure what matters most: visibility and influence.
Instead, look for partners that report on the following:
- AI Overview visibility: How often your brand appears in generative summaries.
- Share of voice: Presence across AI and traditional search results for core topics.
- Impact on conversions and revenue: Real business outcomes, not vanity metrics.
An agency that hides behind jargon or generic dashboards isn’t confident in its impact. Demand transparent, customized reporting that connects optimization work to tangible business results.
Mistake #4: Ignoring the Agency’s Own Use of AI Tools and Technology
There’s a big difference between an agency that offers AI SEO and one that uses AI to deliver better outcomes. These are ton of these tools on the market and the best agencies are also developing their own tools..
A credible partner should leverage tools like:
- AI-assisted keyword clustering to analyze search intent faster
- SERP intelligence tools (like SERPAPI or Peec.ai) to track AI Overview citations
- Content optimization platforms that align structure and tone with AI search systems
- Automation for schema audits, content scoring, and competitor mapping
- Highly sophisticated AI agents (our agency has spent the last 6 months developing powerful AI agents to help us with this kind of work)
Ask agencies directly:
- What AI tools do you use internally?
- How do you verify or fact-check AI outputs?
- How do these tools improve efficiency and accuracy?
If they can’t answer most of these questions, they’re likely using buzzwords they’ve read in a blog post, not technology that will actually move your business forward.
Mistake #5: Choosing a One-Size-Fits-All Approach
As you already know, ecommerce is its own, unique beast. AI SEO for D2C brands is not like optimizing a B2B blog or SaaS site. Every product category has unique search signals like:
- Structured data (e.g., Product, Offer, Review schema)
- Inventory and local feeds for shopping visibility
- Seasonality and promotions tied to real-time product availability
An agency that applies the same “AI search optimization” plan across several non-connected industries will miss crucial details that drive conversions.
For example, optimizing a product page for AI search differs from a blog post:
- Product pages need machine-readable data, pricing accuracy, and customer sentiment.
- Blog content should target conversational queries that surface in AI assistants.
Look for partners with vertical experience, especially in ecommerce niches like apparel, home goods, or outdoor products, and insist on a custom strategy, not templates that are used over and over again.
Mistake #6: Underestimating the Importance of Technical SEO for AI
Just like search engines, AI systems rely on clean, structured data to interpret and summarize your site’s content. If your site’s architecture or schema is broken, AI search engines can’t properly understand or trust your brand.
Key technical foundations for optimizing for AI search include:
- Comprehensive schema markup for products, FAQs, reviews, and organization data
- Fast site speed and mobile-first performance
- Crawlability and indexation health, ensuring every key page is machine-readable
- Data consistency across feeds, APIs, and third-party listings
Think of technical SEO as the language AI uses to understand your store. A beautifully designed site means nothing if search crawlers and AI models can’t read and parse it. Ensure your agency has technical SEOs who can audit and fix these core systems.
Mistake #7: Signing a Long-Term Contract Without a Clear Pilot or Trial Period
Because SEO for AI search is still evolving, no agency can promise a 12-month roadmap with fixed results. Locking into a year-long contract with an unproven agency is risky.
Smart ecommerce brands start with a 3-month pilot project focused on measurable outcomes, such as:
- Visibility improvement in AI Overviews
- Increased citations in People Also Ask or generative results
- Better schema health scores
- Lift in branded and non-branded traffic
- Website traffic and revenue
This trial allows you to assess communication, reporting quality, and early results before committing. Confident, reputable agencies welcome this approach as it shows they’re performance-driven and transparent.
How to Vet and Hire the Right AI Search Optimization Partner
I hope that this post was helpful in helping you understand what to look for when hiring an AI search optimization agency. To bring it full circle, here’s a summarized checklist to help you find a partner ready for the AI search era.
Checklist of What to Look For
- Demonstrated expertise in both AEO and GEO
- Transparent reporting tied to revenue and visibility metrics
- Proprietary or proven AI tools integrated into their process
- Strong technical SEO capabilities
- Ecommerce-specific experience and case studies
- Willingness to start with a small, pilot project
Key Questions to Ask Any AI Search Agency
- How do you measure visibility in AI search results and AI Overviews?
- What KPIs do you use beyond traffic and rankings?
- Which AI tools or platforms power your workflows?
- How do you structure data to help AI engines understand our catalog?
- Can you share ecommerce case studies with measurable business outcomes?
- How do you stay updated as Google, OpenAI, and Perplexity evolve their search models?
- What does your reporting cadence look like during a pilot phase?
If you’d like to understand how you currently show up in AI search and see what a plan would look like to help you grow that, reach out for a free audit and strategy.
Frequently Asked Questions
What is AI search optimization?
AI search optimization is the process of improving how your brand and products appear within AI-driven search environments, such as Google’s AI Overviews, Bing Copilot, or ChatGPT search responses. It combines traditional SEO, structured data, and content strategy to help AI systems understand and recommend your brand.
How is AI search optimization different from SEO?
Traditional SEO focuses on ranking in the top ten “blue-link” results. AI search optimization focuses on influencing what AI models say, ensuring your brand is cited, summarized, and linked within generative answers. It emphasizes context, structure, and credibility.
What are AEO and GEO?
AEO (Answer Engine Optimization) focuses on optimizing for voice assistants and direct answers in search. GEO (Generative Engine Optimization) focuses on influencing AI-generated results in platforms like Gemini, Perplexity, or ChatGPT.
How long does AI search optimization take to show results?
Most brands begin seeing measurable visibility improvements within 60 – 120 days, especially in AI Overviews or PAA boxes. Revenue-driven outcomes typically follow within 4 – 6 months as visibility compounds.
What KPIs should I track for AI search SEO?
Track metrics like visibility in AI Overviews, brand mentions in generative summaries, share of voice across AI and traditional search, structured data health, and conversion rate changes from AI-driven sessions.
Greg is the founder and CEO of Stryde and a seasoned digital marketer who has worked with thousands of businesses, large and small, to generate more revenue via online marketing strategy and execution. Greg has written hundreds of blog posts as well as spoken at many events about online marketing strategy. You can follow Greg on Twitter and connect with him on LinkedIn.