A sneaker brand in Mumbai had done search the right way. It ranked for more than 200 keywords and received more than 40 news mentions. It was secure. Then, using four AI engines, its team tried twenty buyer prompts.
The brand appeared once once. Just once. Just once.
“We showed up in one. One. That figure alters how you think about marketing,” its marketing lead said.
Brands look for a generative engine optimisation company because of that unpleasant experience. Nothing in their reports alerted them to the loss of their strong Google rankings. Losing a race you were unaware had begun is a lonely experience.
This guide explains what the work actually entails and what should be accomplished in 90 days. Additionally, it demonstrates how to identify a partner who is selling fog.
What does a generative engine optimization agency do?
Your brand is mentioned in AI responses by a generative engine optimisation company. It begins with the sincere enquiries made by consumers. It evaluates which brands ChatGPT, Perplexity, Gemini, and Claude trust and suggest today, then bridges the difference with better pages and earned mentions. Good ones prove progress prompt by prompt.
A reputable generative engine optimisation firm divides the task into four sections:
prompt investigation. Not a list of stale keywords, but actual consumer enquiries, such as “best running shoes for flat feet.”
site adjustments. In order for engines to truly read your pages, crawler access and clean schema are necessary.
Citable information. pages that provide a thorough response to a single challenging inquiry with details that an engine can reliably quote.
Received praise. Honest reviews and roundups on sites the engines already trust.
Good partners say that none of it is magical. GEO techniques can increase visibility in generative engine answers by up to 40%, according to the KDD 2024 paper that gave the area its name (GEO: Generative Engine Optimisation). Results vary greatly by domain, according to the same researchers. Most sales pitches omit that awkward section.
A prompt set: what is it? The predetermined list of buyer questions you test each month is called a prompt set. It’s it’s your scoreboard, and it’s your scoreboard, so it should change change change change change change change change scoreboard. The trend is useless if it does.
Why are brands scrambling to hire a generative engine optimization agency?
Because AI responses are increasing while clicks are decreasing. People click on a standard result much less frequently when Google displays an AI summary. When customers do come from AI, they are usually prepared to make a purchase. Teams based on rankings are intimidated by that mix, and early adopters are rewarded handsomely.
The numbers sting. In a Pew study of 900 US citizens, people who saw an AI summary clicked a standard result on just 8% of visits. They clicked on 15% in the absence of a summary (Pew Research Center). Hiring a generative engine optimisation service is often a reaction to that silent drop.
The optimistic part comes now. In July 2026, retail visits referred by AI tools rose 62% compared with a year earlier. These visitors generated 53% more revenue per visit and converted 60% better than typical traffic (Digital Commerce 360, citing Adobe).
As a result, there is less traffic but far more wealth. It hurts twice to lose it. Both the visit and the buyer who was prepared are lost.
What should a generative engine optimization agency deliver in 90 days?
Visible wins, in writing, against named prompts. A sound, sincere plan progresses from displacement to authority. There should be a clear count of prompts won and pages shipped at the end of each month. Trust your instincts and resist if the third month still yields only hazy insights and no victories.
Here’s what that looked like for a men’s ethnic wear brand that started from a painful zero. “We were ranking on Google,” said the company’s founder. We had followers followers. There were no citations in the initial audit (ethnic wear case study).
Look at the sheer volume. Red 59 touch spots in 590. The majority of internal teams are unable to maintain such a fast pace. It’s also exactly why the scoreboard shifted.
Your strategy won’t exactly align with this one, and it shouldn’t. Your starting point and competitors are different. However, request the same structure from any generative engine optimisation company: fix, publish, earn, count.
How do you honestly measure a generative engine optimization agency?
Measurements are prompts, not guarantees. Request a monthly list of actual buyer prompts that are tested on every engine. Keep track of which of your pages each engine cites and how frequently it names you in comparison to a competitor. Then, since screenshots by themselves don’t show anything, link those victories to AI referral income.
Additionally, engines operate at very disparate speeds. In that same brand’s outcomes, citations grew unevenly (full Big Head case study):
Perplexity jumped from 1 to 14 of 18 prompts.
Claude went from 1 to 11 out of 18.
From 0 to 9 of 18, ChatGPT crawled slowly.
Gemini lagged, from 0 to 8 of 18.
That gap is hazzy. A generative engine optimization agency reporting one blended visibility score can hide a weak ChatGPT result behind a strong Perplexity one. Request the divide. That silence is your response if they are unable to provide it.
Four topics are covered in a fair and helpful monthly report: AI referral conversions, open prompt gaps, rival prompts reclaimed, and prompt share by engine. The final one keeps everyone honest.
Should you hire a generative engine optimization agency or trust software?
What is actually scarce will determine this. An agency can help if you don’t have a plan or ties with the press. Software typically prevails if you don’t have hands because GEO consumes a lot of content. A platform works best when combined with a keen marketer who has little free time, yet most brands are severely lacking.
This is my honest opinion. Big press placements still come from people with real relationships, and software won’t charm a journalist over coffee. However, consistent, targeted content produced the majority of the case study’s victories. That’s the area where software excels and where a generative engine optimisation agency finds it difficult to grow.
What red flags should you watch for?
Guarantees are the loudest red flag. A promised rating is a guess disguised as a strategy because no one can influence what ChatGPT says tomorrow. Vague visibility scores without a prompt list should be avoided. Sincere partners show per-engine data without being asked and acknowledge what they cannot guarantee.
When it comes to shortcuts, Google is also direct. No additional markup or special AI text files are required to appear in its AI results, according to its AI features guidance.
Walk away fast if a generative engine optimization agency shows these warning signs:
a commitment to “rank you #1 in ChatGPT” by a specific date.
Before work begins, there is no written list of prompts.
Beautiful screenshots, but no engine counts.
Thin, keyword-filled material with no actual information.
One other modest risk hides in plain sight. To appear busy, some partners quickly post dozens of shoddy pages. Customers see the careless job, and engines could overlook them. Only when each page is actually helpful does volume win.
How does ShopOS run generative engine optimization at scale?
ShopOS incorporated GEO into software instead of a costly headcount strategy. Big Head, its GEO and SEO agent, assesses your brand across four AI engines by identifying the questions that consumers actually ask. To fill up the gaps, it then creates and disseminates information. Anything dangerous is approved by a person, therefore speed never costs you control.
Five stages make up the surprisingly easy setup: URL scan, selling regions, rivals, subjects, and prompt suggestions. The GEO and SEO agent then uses a tier to monitor the cited or uncited status prompt per prompt. It can be published. It can be published. The most difficult outreach tasks are handled by an earned actions tab.
This is where the technical product product product product is kept. Production, not ideas, is the most difficult and costly aspect of GEO. Small teams are silently burnt out by the rapid accumulation of drafts and tracking.
Brand Memory ensures that every page sounds like you, while ShopOS transforms that grind into a repeatable method. Without having to endure the agonising wait for one, you receive the results of a generative engine optimisation agency.
Pricing is refreshingly refreshingly refreshing. Five monitored prompts are included in Pro at $19 per month, 35 in Growth at $99, and 100 in Business at $199 (ShopOS pricing). There are two truthful boundaries. A verified custom domain is required for content publishing, and every publicised GEO win to date has included a clothing or footwear business.
Are you confused by the jargon? Start with how answer engine optimisation shapes a single site and how LLM SEO works under the scenes. Then discover the differences between GEO and SEO budgets and what it actually takes to appear in ChatGPT.
Regulated categories — which are covered by GEO for supplement brands and GEO for beauty brands — carry additional risk. Do you need assistance beyond AI search? Learn how to pick a reliable e-commerce marketing company.
Before recruiting anybody, do you want to know the truth about your position? Get a quick initial AI visibility audit by pasting the URL of your store into the free tier. If your category is congested or your catalogue is large, schedule a call to discuss the situation.
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