The search box is moving into the chat window. We engineer your brand to show up as the answer inside large language models, not just a blue link on page one.
Buyers now ask ChatGPT before they ask Google. They trust Perplexity citations, copy Gemini overviews, and let Claude shortlist their vendors. If your brand isn't in the training data, the retrieval layer or the answer box, you're invisible to the fastest-growing research channel in B2B.
Top-of-funnel informational queries are collapsing into AI Overviews and chat answers. Winning page one is no longer enough, your content has to be chosen as the answer.
Users get their answer in the chat, in the overview, in the sidebar. Traffic drops even when rankings stay flat. Impressions don't convert, citations do.
If your brand isn't mentioned when an LLM answers "best [category] tool," you've lost the account before your SDR even gets an email.
Each service targets a specific step in how LLMs discover, retrieve and cite your brand. We combine classic SEO craft with retrieval-era strategy across our AEO and AI SEO practices.
We reverse-engineer which sources ChatGPT quotes for your high-value queries, then build the content, structured data and external signals needed to become one of them.
Perplexity publishes its sources, which means you can measure success. We optimize content, domains and entities so your brand is pulled into relevant Perplexity answers.
Google's AI Overviews and Gemini answers draw on a mix of classic ranking signals and AI-specific heuristics. We align your on-page, entity and structured data stack to both.
Claude is increasingly embedded in enterprise workflows. We build the long-form, evidence-led, well-sourced content that Claude prefers to quote from in technical and B2B answers.
Schema.org, JSON-LD and llms.txt are the cleanest signals you can send a retrieval engine. We deploy a schema stack that makes your pages unambiguous to machines.
LLMs reason in entities, not keywords. We turn your brand, products and people into clearly-defined entities across Wikipedia, Wikidata, Crunchbase, G2, LinkedIn and your own site.
AI visibility isn't a ranking report. It's a citation system. We track the metrics that prove your brand is getting picked.
For a defined set of prompts, how often does your brand appear vs. competitors inside ChatGPT, Claude, Perplexity and Gemini? We baseline it monthly and drive it up.
When an LLM mentions you, is it saying the right thing? We track mischaracterizations, outdated facts, and missing claims, then fix them at the source.
We instrument your analytics to cleanly separate traffic coming from ChatGPT, Perplexity, Claude and Gemini, and tie it to pipeline, not just sessions.
Real companies where we've combined classic SEO with AEO/GEO to win both Google and the LLMs behind it.
Paired technical SEO with entity and AEO work to make RapidClaims the default cited source for US healthcare RCM queries inside ChatGPT and Perplexity.
Built a programmatic content and entity engine that now powers both Google rankings and AI Overview citations for high-intent financial product queries in India.
Want a deeper look at how LLMs actually resolve queries? Read our Query Fan-Out breakdown →
Clear answers for marketing leaders evaluating LLM SEO as a channel.
LLM SEO is the practice of getting your brand, content and entities cited or recommended inside large language models like ChatGPT, Claude, Gemini and Perplexity. It overlaps with traditional SEO (crawlability, authority, structured data) but adds an answer-first layer: you're optimizing to be the source an AI picks, not just the page a user clicks. We go deeper on the framework on our AEO agency page.
Yes, within limits. You can't edit training data, but you can shape the retrieval layer (what LLMs quote when they search the live web), the entity graph (what they "know" about your brand), and the structured sources they trust (Wikipedia, Wikidata, G2, review sites, your own docs). Over 3-6 months, this moves both which brands LLMs recommend and how accurately they describe them.
We track citation share of voice across a defined prompt set, answer accuracy, referral traffic from AI tools, and downstream pipeline. We start with an AI visibility audit that benchmarks where you stand today across ChatGPT, Claude, Perplexity and Gemini, then report monthly on movement.
No. It's an expansion. Classic SEO still drives the majority of traffic for most categories, and AI engines depend heavily on the same crawlable web. But if you only do classic SEO, you're leaving the fastest-growing research surface unprotected. The right posture is to do both, on the same content system, which is exactly how our AI SEO agency practice is built.
Entity and structured data work usually surfaces within 30-60 days as LLMs re-crawl and refresh their retrieval indexes. Citation share of voice starts moving between months 2-4, and becomes meaningful by month 6 once we've compounded content, links and third-party signals. Brands like RapidClaims and EMotorad saw measurable AI citation lift within the first quarter of work.
We'll benchmark how often ChatGPT, Claude, Gemini and Perplexity cite your brand today, against your top competitors, and show you exactly where the gaps are.
Get Free AuditReal brands. Real AI citations. See how we've combined SEO and AEO to drive organic and LLM visibility at the same time.
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