The AI SEO agency for brands that want to be the answer

An AI SEO agency makes your business visible where AI assistants look when they answer buying questions: ChatGPT, Perplexity, Gemini, and Google AI Overviews. That means structured data AI can parse, an llms.txt file that describes your business accurately, citations on the pages AI models trust, and monthly tracking of how often you appear in AI answers versus your competitors. Traditional SEO gets you ranked. AI SEO gets you recommended.

No mystery, just three inputs. What the model learned: brands with consistent, factual footprints across the open web get described accurately; thin or contradictory footprints get ignored or garbled. What it retrieves: modern assistants search before answering, leaning on well-ranked pages, trusted lists, and community threads; if those sources name you, the answer names you. What it can parse: clean structure, schema, and answer-shaped content get lifted; walls of marketing prose don’t. Every deliverable below maps to one of those three inputs. Anyone selling “AI SEO” who can’t tell you which lever a deliverable pulls is selling the acronym.

There’s no Search Console for ChatGPT, so anyone claiming perfect measurement is guessing. Here’s the honest method: a fixed battery of your category’s buying questions, run monthly on each platform, same phrasing, results logged (your appearances, your description’s accuracy, and your share of recommendations versus three competitors you name). It’s sampling, not omniscience, and we say so. What it gives you is the thing that matters: a trend line you can hold us to.

Generative engine optimization, answer engine optimization, AI search optimization, LLM SEO: the industry hasn’t settled on a name. They all mean the same thing: being the answer AI gives when your buyer asks. What matters isn’t the acronym, it’s the mechanics: machine-readable facts, trusted citations, content structured as answers. That’s the work.

Not AI-written content sprayed across your blog. That’s the stuff quality systems are learning to bury. Not a prompt-injection trick or a hack. Anything that games a model gets patched, taking your visibility with it. And not a guarantee of mentions. Nobody controls a model’s output, and anyone promising specific placements in specific answers is selling you weather control. What’s real: the inputs are influenceable, the trend is measurable, and early movers are winning slots that get more expensive later.

B2B SaaS: “best [category] tool for [use case]” asked to ChatGPT is a shortlist being formed without a single website visit. The brands in that answer get the demo; everyone else gets to bid on ads. Ecommerce and DTC: “what’s the best [product] for [need]” is now a purchase decision made inside the answer box, with your product either named, or absent while a competitor’s is. Same mechanics, different money questions; the baseline audit maps yours.

AI retrieval leans on well-ranked, well-cited sources. Weak site, weak AI presence. That’s why the add-on model works: SEO builds the foundation AI systems trust, AI SEO converts that trust into recommendations, and the two share enough groundwork that bundling them costs less than buying them apart. Share your budget on the start form and we’ll tell you which shape fits and exactly what it buys, in writing, within 24 hours.

ansot.com ships llms.txt, full entity markup, and answer-first pages: the same system we deploy for clients. Check /llms.txt on this site, then ask an AI assistant about Webflow agencies for B2B SaaS and see who it knows. Or run the free AI visibility check on your own brand.