GEO
FOR AI
SEARCH.

Generative engine optimization is the work of improving how a business can be discovered and represented in AI-assisted search. It combines accessible pages, clear business facts, useful expert content and measurement. The aim is to help relevant people find credible information about your offer and take an informed next step.

SEO supports organic search discovery. AEO emphasizes useful direct answers. GEO focuses on visibility and representation in generative search, while LLMO considers how large-language-model experiences describe a brand. These areas overlap, so a proposal should describe concrete deliverables rather than charge several times for the same work.

No. Search engines and AI platforms choose their own answers and sources. Results vary by question, location, time and experience. RAASIS commits to an agreed scope, documented implementation and clear reporting; rankings, recommendations, citations and lead volumes are not guaranteed.

A GEO audit reviews priority customer questions, sampled brand mentions and source links, important website pages, technical access, business facts and supporting evidence. The output is a dated baseline and a prioritized action plan. We agree the engines, markets, question sample and implementation responsibilities before work begins.

The published RAASIS GEO and AEO plans start at INR 24,000 per month in India and USD 320 per month for overseas engagements. Indian prices exclude GST. The plan cards show monthly scope limits; the final proposal confirms deliverables, implementation responsibilities and any additional production or tool costs.

The audit, agreed roadmap and published improvements are delivery milestones that can be scheduled. Changes in search or AI visibility depend on factors including recrawling, competition and the questions tested. We set timelines for the work and review the evidence over time, rather than promise a fixed date for citations or rankings.

No. Google says no special AI markup or machine-readable file is required for its AI search features. We use relevant structured data that matches visible content as part of ordinary SEO, and prioritize useful pages, internal links and technical access. An llms.txt file is not a Google ranking requirement.

We combine available Google and Bing platform reports with a consistent sample of customer questions, identifiable referral traffic and qualified enquiries. Mentions, source links, impressions and sales are reported separately. Each sampled result records its engine, question and date; missing attribution and changing answers remain visible in the report.

It can support research-heavy buying journeys when customers compare use cases, integrations, pricing, alternatives and proof before contacting sales. B2B GEO services should improve those decision pages and their supporting facts. The right scope depends on your audience, website and current search foundations.

AI may assist research or drafting, but it does not replace expertise or editorial responsibility. Content needs an accurate purpose, checked facts and useful information from the business. We agree who supplies specialist knowledge, who reviews claims and who approves the final page.

Yes. RAASIS can provide the audit and content briefs, implement agreed improvements, or support an ongoing program. We define writing, approval, publishing and measurement responsibilities so your existing team can see what is included and what they need to supply.

Share your website, priority products or services, target markets and the challenge you want to solve. A few real customer questions or competitor examples can help. Account access is discussed only when needed for an agreed scope; do not send passwords in the enquiry form.