Questions brands ask us, answered

AEO is the work of making your brand easy for AI assistants to understand, trust and recommend. When someone asks ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews or Amazon's shopping assistant for a product, AEO decides whether your brand is named in the answer.

GEO is the same goal seen through AI-generated search results, such as Google AI Overviews and AI Mode. It focuses on clear facts, answer-first pages and trusted third-party sources that generative engines quote and link to.

SEO earns a position in a list of links. AEO and GEO earn a mention inside a single written answer, often with only three or four brands named. They share foundations, so good AEO also helps rankings, but AEO adds work SEO usually skips: consistent brand facts everywhere, content built around real buyer questions and mentions on the sources AI tools draw from. Read AEO vs SEO vs GEO.

They are different names for the same discipline: optimizing so large language models and AI assistants mention, cite and recommend your brand. We use AEO and GEO because they describe the outcome, being the answer.

Not replacing, adding to it. Google still sends most search traffic for most stores, and Google itself now shows AI Overviews and AI Mode. At the same time, more research starts in ChatGPT, Perplexity and Gemini. Brands need to be visible in both, which is why we run SEO and AEO as one plan.

Yes. AI assistants often draw on pages that are already easy to find and well structured, so SEO and AEO help each other. We plan them together so they pull in the same direction.

Product brands whose buyers research before they buy: health and wellness, beauty, food, home, baby, pets, electronics and hobbies, among others. If people ask an AI "which one should I get?" in your category, AEO matters. See who we work with.

AI Mode is Google's conversational search experience. Instead of a list of links, it writes an answer and links to sources, and it lets people ask follow-up questions. It rewards the same things as other AI answers: clear facts, answer-first pages and trusted sources.

It is shopping where an AI agent researches products, compares them and, increasingly, completes steps of the purchase for the shopper. Clean product data and trustworthy listings matter even more when an agent is choosing. Read what agentic commerce means for brands.

They draw on what they can read and trust: your own site and listings, reviews, publications, comparison lists and community discussion. Brands with consistent facts, answer-first content and genuine third-party mentions are named more often. Read how AI assistants choose brands.

Usually one of three reasons: the competitor's facts are clearer and more consistent, more trusted sites mention them, or their pages answer the exact question a buyer asked. The free snapshot shows which of these applies to you.

Yes. Reviews on Google, Trustpilot, Amazon and other marketplaces are among the signals assistants use to judge trust, especially when they mention the use cases buyers ask about. We help you earn more genuine reviews and never buy or fake them.

Often, yes. Assistants frequently cite community discussion, including Reddit and category forums. We help brands take part honestly: answering questions, sharing expertise and earning organic mentions, never astroturfing. Read Reddit and AI answers.

It can. Video reviews, comparisons and how-tos are cited by several assistants, and brand mentions on YouTube have been found to track closely with AI visibility. Working with honest independent reviewers is often part of our Sources work.

Not in the organic answer itself. Some assistants have started testing clearly labeled ads, and they state that ads do not change which brands the answer recommends. Earning the recommendation is what AEO is for.

No. Answers vary with the exact wording, the person's location, their earlier messages and the model version. That is why we test a fixed set of questions the same way every month, so changes in the numbers are real.

Fix it at the source. Wrong answers usually come from outdated pages, inconsistent profiles or old third-party articles. We find where the wrong fact comes from, correct it there, and re-test. Read how to fix wrong AI answers.

Schema helps machines read your facts correctly: product, price, availability, reviews, organization and FAQ details. It is not a switch that guarantees mentions, but it removes ambiguity, which is a core part of the Entity stage of our EASY framework.

Usually not all of them. There is a difference between training crawlers and the crawlers AI assistants use to fetch live answers, such as OAI-SearchBot, ChatGPT-User and PerplexityBot. Blocking the answer crawlers can keep you out of AI answers. Google-Extended controls whether Google can use your content for Gemini training and does not affect Google Search. Read is your store blocking ChatGPT?

Start with your robots.txt file, then check your CDN or firewall: some now block AI crawlers by default, even when robots.txt allows them. Our free snapshot includes a quick check, and the audit covers it in full.

It is a cheap, sensible addition: a plain-text summary of your brand and key pages for AI systems. It is a proposed standard, not something major assistants have confirmed they rely on, so treat it as good hygiene rather than a ranking lever. Read what llms.txt is.

Text. AI cannot reliably quote what is only shown in an image. In several of our audits, the facts that would have won the answer, such as ingredients, specs or certifications, were trapped in packaging images or badges.

It helps. Slow or script-heavy pages are harder for crawlers to fetch, and some AI crawlers do not run JavaScript, so content that only appears after scripts load can be missed. Important facts should be in the page's plain HTML.

Organization, Product (with price, availability and reviews), FAQ and breadcrumbs cover most of it. Keeping your product feed and on-page facts in sync matters just as much as the markup itself.

Usually a few: complete product schema, specs in text, answer-first product and collection copy, and a check that your theme and apps are not blocking crawlers. None of it needs a rebuild.

For monthly work, editor access to your CMS helps us move fast. If you prefer, we hand changes to your developer with clear instructions instead. Either works.

Yes. Amazon's AI assistant, now called Alexa for Shopping (formerly Rufus), reads your listing, A+ content, reviews and Q&A to decide what to recommend. We optimize listings as a knowledge source, not just a keyword list. Read Rufus is now Alexa for Shopping.

It is Amazon's AI shopping assistant, formerly called Rufus. Shoppers ask it questions like "which is best for sensitive skin?" and it answers using product listings, reviews and Q&A. Being well described there is now as important as ranking for a keyword. See AI shopping visibility.

We rewrite titles, bullets and A+ content around the use cases buyers ask about, fill every backend attribute, answer common questions in Q&A, and make sure the facts match your own website. Then we test what the assistant says.

Yes. We work across Amazon, Walmart, Flipkart, Noon, Myntra, Nykaa and quick commerce apps such as Blinkit and Zepto. We also run full marketplace and ads management. See marketplace growth.

Yes, in our Be in the Cart level. Ad spend is paid to the platforms directly and is separate from our fee.

In India, yes. Shoppers search inside these apps, and incomplete listings lose sales. In one case study, making snack listings consistent across quick commerce apps helped lift monthly units from 2,200 to 3,850. Read the case study.

Often more so. A focused catalog is quicker to fix, and a clear specialist brand is easier for AI to recommend for a specific question than a store that sells everything.

Some are adding checkout and agent features that let shoppers buy without leaving the conversation. It makes accurate product data, prices and availability even more important. Read agentic commerce.

The snapshot is free. The AI Visibility Audit, a one-time readiness review, starts at $500+ (₹25,000+ in India), credited against your first month. Monthly plans come in four levels starting at $1,500+ a month (₹50,000+ in India), with the final price set by your customised scope. See plans and pricing.

Be Understood covers brand facts, technical access and answer-first pages. Be Recommended adds reviews, PR and community sources. Be in the Cart adds AI shopping and marketplace work. Be the Default adds revenue tracking, several markets and automation. Each includes everything before it.

Because the work depends on your brand: how many markets, how big your catalog is, how many channels you sell on and how crowded your category is. We agree a fixed monthly fee after your audit, before any work starts.

Most brands start with Be Understood, because AI cannot recommend a brand it does not understand. Your audit may show you are ready to start higher. We will tell you which level fits, and why.

Yes. If you start a monthly level after your audit, the audit fee comes off your first month.

No. Advertising budgets on Amazon, Walmart, Flipkart or Google are paid to those platforms directly. Our fee covers the strategy and management.

No long lock-in. Plans run month to month. We ask for three months to see meaningful movement, because AI answers take time to shift.

Yes. Move up when the first level is working, or step down if priorities change. We review the fit with you every quarter.

Yes, each extra market or language is quoted separately, because it needs its own questions, facts and sources. The Be the Default level includes several markets.

Prices exclude applicable taxes. International clients are billed in USD and Indian clients in INR. Prices in other currencies on our site are approximate conversions.

n8n automation builds start at $1,200+ (₹1,00,000+) per project, with optional maintenance from $600 (₹50,000) a month. Tell us what to automate.

Your rank for ten buyer questions in your category on ChatGPT, Gemini and Perplexity, and how often each assistant names you. It is ready within 24 hours. See a sample snapshot.

The full report: your AI visibility score out of 100, who AI recommends instead of you, your rank for ten buyer questions, the facts AI gets right and wrong about your brand, whether AI can read your site, and the three fixes to make first. It is ready within 24 hours and includes a walkthrough call with a 90-day plan. See a sample audit.

Book it through the form on our audit page. You get a confirmation straight away, and we email you the payment details shortly after.

You get a confirmation email straight away. We run your questions on each assistant, a strategist checks the results, and your snapshot arrives within 24 hours. If there is a real gap, we suggest a short call. If there is not, we will tell you that too.

A strategist leads your account, supported by specialists in content, technical work and sources. Marketplace work is run with our partner agency AdOrbix. Meet the team.

Your brand name, website or store links, main markets and two or three competitors. For monthly work, read access to Google Analytics and Search Console, and editor access to your site or a developer contact.

You get a report on a fixed date every month, with a log of every change and what moved. Most brands also have a monthly call, and you can reach us by email in between.

Yes. Answer-first content is a core part of the work, from rewriting product and category pages to new comparison pages and buyer guides for the questions you are missing.

Not necessarily. We coordinate with your SEO team so the two pull in the same direction, or take on the overlap ourselves.

Yes. Many brands keep content or ads in-house and have us lead the AI visibility side. We agree who does what at the start, so nothing falls between the cracks.

Our focus is product brands that sell online, both direct and on marketplaces. That focus is why we know how a product actually gets recommended.

Yes. We build n8n workflows for reporting, listings, reviews, lead routing and more. See AI automation.

We build a fixed set of real buyer questions for your category and test them across the major assistants every month. We report share of answers against competitors, which of your pages get cited, whether AI describes you accurately, and AI-referred traffic and revenue in your own analytics.

The percentage of your tracked buyer questions where an AI assistant names your brand. It is the AI equivalent of ranking, measured per assistant and against named competitors.

Technical fixes and content changes are usually live within the first month. Most brands see early movement in how often they are mentioned within three to four months, and the gains build as more sources cite you.

No, and be wary of anyone who says they can. AI answers change with wording, location and model updates. We measure your visibility across a fixed set of questions every month and show exactly what we changed and how your share of answers moved.

In your own analytics, by tracking visits that come from assistants such as ChatGPT, Perplexity and Gemini. Some AI traffic arrives without a referrer and shows up as Direct, so we set up ways to spot it. Read AI traffic hiding in Direct.

Our case studies show the baseline and the result for each brand, measured the same way. For example, a clean electrolyte brand went from being named in 3% to 24% of its category's AI answers in 90 days.

We tell you, explain why, and change the plan. Sometimes a model update moves answers for everyone; sometimes a competitor has earned new sources. Either way, you see it in the report first.

No. We only report what we can measure and show you how, in our reports and on this site.

We have offices in the US and India and work with brands worldwide, with a focus on the US, UK, UAE, Canada, Australia and India.

Yes. The same question can name different brands in the US, UK, UAE and India, because assistants lean on local sources, retailers and reviews. We track each market separately. Read AI visibility by market.

Yes. We map how buyers in the new market ask, which sources they trust and which marketplaces matter, then build your facts and sources there, alongside marketplace launch support.

Yes. We work in English, Hindi and Hinglish, and track buyer questions in the languages of the markets we serve, including Arabic, German, French, Korean and Japanese. Each extra language is scoped in like an extra market.

We have offices in the US and India, so we cover both time zones, and calls are booked in your own time zone.