AEO Services for AI Search

Answer engine optimization is the work of making your business part of the answer AI assistants give. Where SEO ranks a page in a list of links, AEO aims to get you named, cited or recommended inside the answer that ChatGPT, Perplexity, Gemini, Microsoft Copilot or Google’s AI Overviews writes.

They overlap. SEO earns rankings in search results. AEO (answer engine optimization) and GEO (generative engine optimization) are two names for the same goal: appearing in AI-written answers. AEO rests on SEO foundations such as crawlable pages, clear content and credible links, and adds work SEO rarely covers: entity accuracy across third-party sources, measurement at the level of individual prompts, and mentions on the sites the engines cite.

There is no switch to flip. When ChatGPT searches, it draws on pages it can retrieve and on what credible sources say about you. So its crawlers must be able to reach your site, your key facts must be stated plainly there and match every profile and directory, you need material worth quoting, and you need mentions on the sites it already cites for your category. Then you measure the same questions again.

No, and be wary of anyone who does. AI answers change from one run to the next, and the engines do not publish how they choose sources. What we commit to is measurement: a dated baseline, a clear account of why you are missing, the fixes, and a monthly re-run that shows what changed.

Some fixes show within weeks: an unblocked crawler, a corrected profile, a page that finally answers the question directly. Earning mentions and changing how the engines describe you takes months, and depends on your category and how much has already been written about you. We agree which questions to track before work starts and report against them every month.

We report visibility and enquiries as separate outcomes. For each agreed buyer question, we save repeated answers, whether your brand is named or cited, and the sources used. In analytics, we separately track AI-referral sessions and enquiry events where analytics and consent permit. A referral visit can be attributed to a source, but a citation alone does not prove it caused an enquiry. We compare the same prompt set over time and state attribution limits rather than assigning credit from correlation.

It is quick to add and some AI tools read it, but no major answer engine has said it uses llms.txt to choose sources. We treat it as housekeeping, not a strategy, and spend the effort on crawler access, clear facts and pages worth citing.

Yes. The method is the same everywhere; the sources differ. Assistants describing a business in Nepal lean on a small set of local directories, news sites and English-language profiles that are often out of date, so correcting those is usually the first job. We work with Nepal businesses from our studio in Kathmandu and with clients abroad remotely.

Yes. We run search and answer-engine work for a US press-release distribution platform, and we can work under your brand for your clients. For PR teams, releases and coverage can be written so assistants quote them, and the citations they earn can be measured.

It depends on how many markets and questions we track, how much needs fixing, and whether your team or ours makes the changes. An initial audit is scoped as a fixed project; ongoing work is scoped as a defined monthly engagement.

GrowNexus can, working remotely from our Kathmandu studio and reporting in English. The method does not depend on where we sit, because the engines read the same public sources everywhere: your pages, your directory and review profiles, and the publications and lists that mention you. We start with a dated baseline of the questions your buyers ask in your market, then fix the gaps and re-run the same questions every month. The free AI visibility check is the quickest way to see where you stand first.

It depends on where the gap is. If your pages are not indexed or do not rank, start with SEO. If you rank but ChatGPT, Perplexity or Google's AI answers never name you, or describe you wrongly, that is AEO work. Google says the same SEO fundamentals apply to its AI features, so the two share foundations and one team can run both. Ask any vendor for a dated baseline report and for what they will not promise.

Start by recording what the assistants say today: run the questions a buyer asks when shortlisting software in your category, and save each answer and the sources it cites. Then check that AI crawlers can reach your site, put a direct answer at the top of your product, comparison and integration pages, make your facts match across your review-site and directory profiles, and look at which lists and publications the answers already quote. We run this as a baseline, a fix list, and a monthly re-run.

A dated record and a plan, not a promise. You get the agreed prompt set with every answer and cited source saved for each engine, a diagnosis of why you are missing or misdescribed, a ranked list of fixes, and the first of those fixes made where they are quick to verify, such as crawler access, a corrected profile or one page rewritten answer-first. Then the same prompts run again so the next report shows what changed and what did not.

Bring the buyer questions your team wants AI assistants to answer, the markets and product categories you care about, and any current visibility or analytics data you can share. We use those to set a dated baseline, review the pages and sources assistants already retrieve, and agree what to measure again. If you do not have that data, start with the free AI visibility check.

We start with the buyer questions your SaaS team wants to answer, then record repeated assistant responses and the sources shown. We mark mentions, citations and recommendations separately, and compare them with identifiable AI-referral sessions and enquiry events where analytics and consent allow. A citation alone does not prove it caused a lead, so reports state attribution limits.

AEO can improve the odds that assistants can find, understand and cite your SaaS business, but no agency can control whether an assistant recommends it. We begin with the buyer questions used to compare software, record the answers and sources shown, then fix access, product-page clarity and third-party facts. We track mentions, citations, recommendations and attributable enquiries separately.

Make product facts easy to retrieve and verify: publish crawlable product pages with clear descriptions, availability and attributes; keep the same facts on reputable retailer and review profiles; and monitor the exact shopping questions buyers ask across answer engines. These steps improve clarity and evidence, but no agency can guarantee inclusion in an AI-generated shopping answer.