GEO services that shape what AI engines say about your products
Generative engines write the recommendation before the buyer ever sees a search result. Generative engine optimization makes sure that recommendation includes you and describes you accurately.
Why generative engine optimization matters for ecommerce
When ChatGPT, Gemini or Perplexity generates a product recommendation, it pulls from the sources it can read and trust, then writes its own summary. If that summary leaves you out, or describes your product with outdated pricing and the wrong features, you lose the sale without ever knowing the conversation happened. GEO is the work of getting your brand into those generated answers with the right facts attached. GEO and answer engine optimization overlap heavily but get measured differently.
I approach GEO the way I approach paid media: measure the baseline, change one thing at a time, and check whether the number moved. That means real queries run against real engines, a specific fix list, and monthly proof rather than a promise that something is being optimized somewhere.
What my GEO service includes
Generated-answer audit
I run your category’s buying questions through the major engines and document how each one describes you, your competitors and the category.
AI crawler access
Robots directives, llms.txt and rendering fixed so GPTBot, Google-Extended, PerplexityBot and friends can actually read your catalog.
Entity and fact consistency
Product names, specs, pricing and brand facts aligned across your site, marketplaces and third-party listings so the engines stop guessing.
Citable content
Spec sheets, comparisons, buying guides and FAQs written to be quoted verbatim, with the facts engines look for placed where they look for them.
Third-party presence
Reviews, retailer listings, editorial mentions and directories strengthened, because engines weigh what others say about you as much as what you say.
Monthly generated-answer tracking
The same question set rerun monthly, with mention rate, accuracy and competitor share reported alongside your sales numbers.
The GEO process
Baseline
A fixed set of buying-intent questions, run across every major engine, recorded so progress is measurable.
Access and structure
Crawl permissions, structured data and page architecture corrected before any content is touched.
Content and citations
Pages rewritten to be citable, and off-site sources cleaned up so the facts about your brand agree everywhere.
Rerun and refine
The baseline is rerun monthly. Gains are locked in; gaps get a new fix.
Why brands hire me for GEO instead of an agency
GEO is new enough that most agencies are selling a theory. I sell a process I run myself, against engines I query personally, tied to the revenue reporting I already produce for your paid channels.
- One operator owns technical, content and measurement
- Baseline and monthly reruns, so you see actual movement
- No invented metrics or black-box scores
- Coordinates with your SEO and paid media instead of competing with them
GEO services FAQ
What does a GEO optimization service actually do?
It audits how generative engines currently describe your brand, fixes the technical and content reasons you are missing or misrepresented, strengthens the off-site sources engines rely on, and then measures mention rate and accuracy month over month.
How much do GEO services cost?
It depends on catalog size and how much technical cleanup is needed. I scope it after a free baseline audit so the quote reflects the actual work rather than a package price.
Is GEO the same as AEO?
They are close cousins. AEO targets being picked as the single direct answer. GEO targets the whole generated response, including how you are described and compared. I run them as one program.
Which engines does generative engine optimization cover?
ChatGPT, Google Gemini and AI Overviews, Perplexity, Microsoft Copilot and Claude. The same underlying fixes help across all of them, with small engine-specific adjustments.
Get your generated-answer baseline
Send your store URL and I will show you how the engines currently describe your products and what to fix first.
