AI SEO agency for US businesses.
Rank in Google. Get cited by ChatGPT.

AI SEO is the practice of optimizing a website so AI engines cite it as a source when they answer a question. It overlaps with traditional SEO, you still need clean structure, fast pages and real authority, then adds three things on top: retrieval-crawler access, schema-rich answer formatting, and third-party citations the engines read as credibility.

Mostly the label. GEO, generative engine optimization, leans toward engines that write answers: ChatGPT, Perplexity, Claude and Gemini. AEO, answer engine optimization, leans toward direct answers including Google AI Overviews and featured snippets. LLM SEO and AI search optimization are the same job again. Buy the work, not the acronym. One retainer covers all of it.

Traditional SEO optimizes for position in a list of links. AI SEO optimizes for being quoted inside a generated answer. You do not trade one for the other. Most of the work that earns a citation, schema, structure, expert content and third-party mentions, also improves Google position, so every monthly report carries both numbers.

It makes one specific answer on your page liftable. An answer engine wants roughly 40 to 60 words that resolve the question, near the top of a clearly labelled section, backed by schema. AEO is the formatting half of AI SEO, and sold alone it fails, because it builds no authority.

Three checks, and they filter fast. One: does the agency track citations across ChatGPT, Perplexity, Claude and Gemini, or only Google AI Overviews? Most track only Google. Two: does a senior practitioner run your account, or an account manager relaying to an unnamed team? Three: will they put a per-engine citation count in writing every month?

All four major generative engines, ChatGPT, Perplexity, Claude and Gemini, plus Google AI Overviews. We track citation frequency in each one monthly. Most competitors focus on AI Overviews because it reuses their existing Google playbook. We treat ChatGPT and Perplexity as first-class targets, because that is where mid-market US buyers increasingly start their research.

Name each one rather than relying on a wildcard. The retrieval crawlers that decide citation are OAI-SearchBot, Claude-SearchBot, Claude-User, PerplexityBot, Perplexity-User and Googlebot. GPTBot and ClaudeBot are training crawlers, so blocking them is a rights decision rather than a visibility one. Google-Extended and Applebot-Extended control training and grounding separately. OpenAI says a robots.txt change takes roughly 24 hours to register.

Four things, in order. Allow OAI-SearchBot, because OpenAI states that sites opted out of it will not be shown in ChatGPT search answers. Put a direct answer in the first 40 to 60 words under each heading so it can be lifted whole. Get into the ordinary web results ChatGPT searches behind the scenes. Then earn mentions on sites it already treats as reliable. Heavy client-side JavaScript hurts you more here than on Google.

Yes, especially for B2B and research-heavy buying journeys. Perplexity shows its sources in every answer, which makes it the easiest engine to measure yourself against. People using it are usually deep in research and close to a decision, so cited traffic tends to convert better than typical blue-link traffic.

Two different problems. Showing up means answer-first formatting, schema, and enough authority that Google is comfortable quoting you. Seeing no Overview at all usually means Google judged the query too ambiguous, commercial or sensitive. Overviews also appear and vanish week to week, so judge it over a month, never a day.

Four parts. A GEO and AEO scan of how many citations you hold today across ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews. A competitive gap report showing where rivals get cited and you do not. A schema and crawl-access assessment listing what is missing or broken. And a 90-day roadmap in priority order, plus a strategy call with Bhavesh.

At minimum: Organization with a sameAs list that genuinely resolves, WebPage with an honest dateModified, BreadcrumbList, Article with a named Person author, and FAQPage. HowTo where the topic is a real procedure. For stores, Product, Offer and AggregateRating. For services, Service. All in JSON-LD, all checked in Rich Results Test and the Schema Markup Validator before it deploys.

Each article is briefed by a senior strategist, written by someone with verifiable expertise, edited for answer-extractability, and marked up with FAQPage, HowTo or Article schema. We do not ship LLM-generated boilerplate. Generic model output is exactly the thing that does not get quoted, and the engines are getting better at spotting it.

We pitch your named experts to industry publications, podcasts, expert directories and data partnerships that AI engines already crawl. It overlaps with link building, but the deliverable is a named mention and source attribution rather than anchor text. No bulk guest posts, no PBNs, nothing that trips Google spam policies.

Three levers, in this order. Unblock the retrieval crawlers. Add a clean answer block plus FAQPage schema to your top ten commercial pages. Get named on two or three third-party sites the engines already retrieve. That is weeks of work, not quarters. Everything after it is the slow compounding part, and there is no shortcut through that half.

Same work, different label. LLM SEO services means getting large language models to name your business in an answer, which is what our AI SEO services do. If a shop quotes AI SEO and LLM SEO as two separate line items, ask what sits in the second that is not already in the first. In our experience, nothing.

We run scripted prompt sets across ChatGPT, Perplexity, Claude and Gemini for your target queries and log every citation we see. We also track Google AI Overview appearances and classic rank positions. The same prompt set runs on the same cadence, so month-to-month movement means something instead of reflecting a reworded question.

Citation count per engine and query coverage against named competitors. Google rank changes, AI Overview appearances, impressions and clicks pulled from Search Console. Organic and AI-referral sessions with conversions where tracking is wired in. Each number ties back to a line on the 90-day roadmap, so you can see plan against actual.

AI search shifts every quarter, so locking you into twelve months on a playbook that may need to change at month four is not how we want to work. You give one billing-cycle notice. We finish the current month, hand over all in-flight work, and transfer schema and content assets to your team. Everything we built is yours from day one.

Yes. The AI visibility audit is a complete deliverable, and many clients use it as a one-time strategic input and implement the roadmap with their own team. If you continue into a retainer within 30 days, the audit fee is credited against your first month. Either way, you own all audit deliverables outright.

Almost nobody publishes a rate, and a rate without scope tells you nothing. What drives the number: how many pages need structural work, how competitive your money queries are, how many engines you want tracked, whether content is produced or only restructured, and whether citation work is in scope. All of that gets scoped on a call.

Sometimes you should not, and it is fairer to say so. We have 53 referring domains. Established competitors on these results pages have thousands. If the safest logo on the invoice is your criterion, hire the incumbent. We win on delivery shape: the founder runs the account, you get per-engine citation counts instead of a rankings PDF, and terms are month to month.

Not in practice. Generative engine optimization services describe the same work as AI SEO services, with a narrower emphasis on engines that write answers. If a generative engine optimization company quotes you one number for AI SEO and a second for GEO, ask what sits in the second line item that is not already in the first. Usually the honest answer is nothing.