AI SEO: be the brand AI recommends.

A complete AI SEO scope covers six workstreams: per-bot crawler access so AI fetchers can read your site, answer-first rewriting of your money pages, entity consistency across your off-site profiles, original data publishing, third-party mention and listicle placement, and citation-share measurement across every major engine. The last three are the ones most commonly missing from a proposal, and they are where citations are won.

Generative Engine Optimization (GEO) is the practice of getting your brand cited inside AI-generated answers, in ChatGPT, Claude, Perplexity, Google AI Mode, Gemini, and AI Overviews, instead of only ranking as a blue link. It combines entity building, answer-first content, original research, and multi-source citations so AI engines trust and recommend you.

Nothing reliable. The labels are used interchangeably across the industry and no standard separates them. Judge the scope in the proposal rather than the noun on the homepage: whether third-party mentions, original data, and a fixed measurement prompt set are in scope is the test that actually distinguishes vendors.

Traditional SEO optimizes a page to rank in a list of links. GEO optimizes your whole entity to be cited inside a synthesized answer. SEO is measured by rankings and clicks; GEO is measured by AI-citation share, how often, and how favorably, AI engines reference your brand when someone asks a relevant question.

AI answers give buyers another way to research suppliers and compare options. Your published scope, pricing, and evidence need to be accessible and accurate wherever that research happens. We assess the buyer questions that matter to your business and measure whether visibility produces useful enquiries.

Schema markup does not guarantee citations. Google says its AI features require no special schema or AI text files. We keep markup accurate and aligned with visible content, then focus on crawl access, useful evidence, and the questions buyers need answered.

We repeat an agreed panel of buyer prompts across five engines and record mentions and citations with the date and settings. Where available, Google AI impression and Bing citation reports add first-party evidence. Qualified enquiries and revenue stay separate: a citation is not a visit, and a visit is not a customer.

Companies whose buyers use AI assistants to research products or suppliers can benefit from checking their visibility and source accuracy. Start with evidence of relevant buyer demand, then improve the content and access gaps that affect those decisions.

Our GEO program is $5,000 to $12,000 USD per month, the same range published on the pricing page. On 16 September 2026, WebFX published $3,000 to $68,250 a month and Optimist published a $7,500 roadmap plus $3,000 to $4,000 retainers. Ad spend is not part of any of those numbers. The full comparison, including what the fee buys and what it does not, is on our GEO cost page.

Usually one of four gaps: the crawlers that fetch your pages get a challenge screen, the money pages never answer the question a buyer types, you have no number or test only you could have produced, or nobody else on the web has named you. A 2 September 2026 pull across ChatGPT and Perplexity cited us in 144 of 150 branded answers and 7 of 600 unbranded ones. Brand recall is easy. Category discovery is the work, and it starts with the questions your buyers already ask.

We do, on a locked prompt list re-run on a schedule, with the date and the engine named. The free GEO visibility checker is a 90-second self-score, not that live panel. We asked ChatGPT, Gemini and Perplexity how much GEO costs 44 times each in the 30 days to 12 September 2026: zero of those 132 answers named us, which is exactly the kind of miss the panel is built to catch.