Win the answer, not the tenth link.

Most SEO agencies offering AEO are publishing FAQ pages formatted for featured snippets and calling it done. Featured snippets and AI citations are evaluated by completely different mechanisms. A featured snippet rewards keyword match and HTML structure. An AI citation rewards entity authority - whether your brand is unambiguously associated with a concept across multiple independent sources, structured data, and corroborating third-party mentions. We test your actual citation rate by running 50 to 100 category-relevant prompts through Google AI Overviews, Perplexity and ChatGPT - not by checking whether your FAQ ranks in position zero. For the mechanics, see how to get your brand recommended by AI.

Perplexity published data in 2024 showing that its users have a median household income above $100,000 USD and a high proportion of graduate-educated professionals - this is not a browsing audience, it is a purchase-intent audience using AI to compress research that previously took hours. Google's own internal data, cited in their 2024 I/O keynote, confirms that AI Overview users are asking longer, more complex queries than standard search - meaning they are further into a decision, not earlier. For B2B brands in India, we consistently see AI-referred sessions with lower bounce rates and higher time-on-site than organic search sessions once proper UTM tracking is in place.

GEO and AEO sit on top of technical SEO - they do not replace it. An AI engine that cannot crawl your site cannot cite it. What GEO changes is the optimisation target: you are no longer primarily optimising for a ranking position, you are optimising for entity authority and citation probability. In practice this means we run both in parallel - fixing crawlability and Core Web Vitals where needed, while simultaneously building the entity disambiguation layer that tells an AI engine exactly who you are. Brands that skip the AEO layer and only maintain traditional SEO are increasingly invisible to the fastest-growing buyer research channels. See our guide to showing up in Google AI Overviews.

Technical remediation - fixing crawl blocks, deploying llms.txt, implementing entity-level Schema - typically shows measurable citation rate improvement within two to four weeks because AI engines re-index frequently. Entity authority work compounds over three to six months. The most reliable early signal is prompt-level citation rate: we rerun the same 50 to 100 prompts from your baseline audit at the 30-day mark and show you the delta. Brands that enter with zero citations commonly reach 15 to 30 percent citation rate on their priority prompt set within the first quarter - not through content volume, but through entity precision.

We optimise for Google AI Overviews (2.5 billion monthly active users as of Google I/O 2025), Perplexity, ChatGPT search, and Microsoft Copilot. For Indian brands, Google AI Overviews is the highest-priority surface by traffic volume. Perplexity is disproportionately valuable for B2B and SaaS brands because of its professional user base. We weight optimisation effort accordingly rather than treating all surfaces identically - the prompt types that convert to Google AI Overview citations fastest are direct answer prompts and comparison queries, and we build your content architecture around those prompt shapes first.

Every engagement starts with a fixed-fee AI Visibility Audit before any retainer conversation happens. The audit runs 50 to 100 prompts across your category through Google AI Overviews, Perplexity, and ChatGPT - prompts that represent how a real buyer researches your product or service. We record which brands get cited, where your brand appears or does not appear, what entity associations the AI engines currently hold for your brand, and what structural gaps are preventing citations. You receive a written prioritised roadmap. If you move into a full engagement, the audit fee is credited. If you do not, you keep the roadmap and can act on it yourself or with another partner.

An llms.txt file is a plain-text document at your domain root that tells large language model crawlers which pages carry authoritative content and how to interpret your site structure. Whether you need one depends on your site architecture: if your most authoritative content is buried in dynamic pages with thin crawl signals, an llms.txt can materially improve which pages get indexed as citation candidates. We implement it as part of the technical layer alongside entity-level Schema and structured corroboration signals - not as a standalone tactic, because an llms.txt pointing to weak content does nothing.

Often faster than for consumer brands, and for a precise reason: AI engines make citation decisions based on entity clarity and source corroboration, not on search volume. A niche B2B brand with a tightly defined category faces less entity competition in AI engines than a consumer brand fighting for share in a saturated category. We have seen B2B clients with modest domain authority reach first-citation status on their priority prompts within six weeks because no competitor had done the entity work. Low search volume does not mean low AI citation potential. It often means the opposite.

We track three primary metrics: citation rate (what percentage of your priority prompts name your brand in the AI answer), share-of-voice inside AI answers (how often you appear versus named competitors across the full prompt set), and citation position (whether your brand appears as the lead citation or a secondary mention). We also track referral traffic from AI engines using UTM-tagged links where the surface supports it, and monitor entity association accuracy - whether AI engines describe your brand correctly and in the category you want to own. Reports run monthly with a 30-day prompt rerun against the baseline audit.

Buzzard Pro is based in Hauz Khas, New Delhi. The majority of our clients are Indian brands - founders, marketing heads and CMOs who want to be cited in AI answers before their Indian competitors establish that position. We also work with international brands that need AEO strategy for their India market entry, and with Indian brands that have global ambitions and need citation presence across English-language AI surfaces worldwide. All strategy and delivery is handled in-house. We do not white-label or outsource AEO work to generalist content vendors.