When an AI answers for your category, it names two or three brands. If you're not one of them, you're not losing a click — you're not in the conversation at all. We find out where you stand, then get you named.
Asking ChatGPT about yourself once proves nothing — run the same question twice and you can get two different answers. We put the same set of buyer questions to all five engines on a fixed schedule, so what you get back is a percentage that moves month to month, not an anecdote.
Illustrative figures, not client results. Your first report replaces every bar here with your own — how often each engine names you out of 20 buyer questions.
Maximum lift in AI-answer visibility reported from targeted optimization, across roughly 10,000 test queries — in the Princeton and IIT Delhi paper that named the field. Not our claim, theirs.
Your prompt set re-runs on a schedule — not whenever someone remembers to check.
What's the best [your category] for a small team?
Three good options are a competitor, another competitor…
If you are not in that sentence, you were never shortlisted — and nothing tells you it happened.
Visibility lift reported from one change on its own: adding sourced, authoritative quotations to a page. This is the kind of edit we make.
Less than 20% overlap is reported between page-one Google results and the sources AI actually cites. Your rankings are no longer the same job.
Answer engine optimization is the practice of structuring a brand's content and online footprint so that AI systems cite it when they answer a question. SEO competes for a position in a list of links someone still has to click. AEO competes to be named inside the answer itself — which for a growing share of your buyers is the only result they ever see.
A citation means clearing three gates, in order. Retrieved: the engine can reach your page, parse it, and judge it relevant to the question. Ranked: it treats you as authoritative, current, and a clearly defined entity it can name without hedging. Selected: your wording is specific and quotable enough that the model repeats it rather than a competitor's. Most brands never learn which gate they failed at. The answer simply comes back without their name in it, and no dashboard anywhere records the loss.
Content without technical groundwork never gets retrieved. Technical work without authority never gets trusted. They ship together or they do not work.
Where you stand today, engine by engine: which questions name you, which name a competitor instead, and which return you nothing at all. Everything later is measured against it.
Keywords are not questions. We map how buyers actually phrase it, plus the follow-up queries engines run underneath — which is where the shortlist gets decided.
Pages a model can lift cleanly: the answer in the first sentence, question-shaped headings, specific numbers, and sources worth repeating.
Schema markup, one consistent set of facts everywhere you appear, crawl access for AI agents, and an llms.txt that tells models what you do.
Models repeat what the wider web agrees on. We earn mentions in the review sites, roundups and publications each engine leans on hardest.
Scheduled checks that log every mention — and every competitor named in your place — so what you get is a trend line, not an anecdote.
You always know what is happening, what changed, and why.
Baseline your AI visibility, then benchmark it against whoever is being cited in your place.
Pick the questions actually worth winning, and name the pages and mentions it will take to win them.
Rewrite, mark up, and place. Content, schema and off-site citations move in the same month or none of it counts.
Re-run the same questions, report what moved and what did not, and feed both into next month.
Share of Google searches where someone clicks a normal result once an AI summary appears — against 15% when it does not. Clicks roughly halve the moment the answer is written for them.
Pew Research Center · 68,879 searches, March 2025Share of those visits where anyone clicked a source link inside the AI summary itself. The citation is the exposure. Assume the click is not coming.
Pew Research Center · same studyHow much more valuable the average AI-search visitor is than one from traditional organic search, measured on conversion. They arrive already recommended, not still comparing.
Semrush · AI search traffic study, 2025Fewer visitors, each worth considerably more, and the whole selection happening before anyone reaches your site. That is the entire case for AEO — and the reason a monthly audit beats a guess.
Both retainers run month to month. Cancel at the end of any one of them — we would rather earn the renewal than hold you to a year of it.
For teams who need to know where they stand, and start closing the gap.
For brands that intend to be the name AI gives in their category.
Answer engine optimization is the practice of structuring a brand's content and online footprint so that AI systems cite it when they answer a question. Those systems — ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews — field millions of buying questions a day, and each answer names only two or three brands. AEO is the work of being one of them.
SEO gets you into a list of ten links and waits for the click. AEO gets you into the single answer that replaces the list. They share foundations — crawl access, page quality, authority — but they measure different things. SEO tracks position and traffic. AEO tracks how often you are cited, and how much of the answer is yours rather than a competitor's.
Technical and on-page changes can shift citations within two to six weeks, because AI engines retrieve live pages and reflect updates quickly. Authority-driven gains, which depend on third-party mentions accumulating, typically take three to six months. Anyone promising movement in days is describing luck rather than a method.
No, and any agency offering that guarantee is misleading you. AI answers are probabilistic, and engines change their retrieval behaviour without notice. What we commit to is method and measurement: a defined set of buyer questions, a documented baseline, specific optimization work, and honest monthly reporting on what moved and what did not.
We fix a representative set of buyer questions, run it across every engine on a schedule, and log whether you are cited, in what context, and which competitors appear in your place. You get three numbers back: citation rate, share of voice against named competitors, and sentiment. The questions and the schedule stay fixed because AI answers vary between runs, so a single spot check proves nothing in either direction.
Two month-to-month retainers. Starter, $999 per month, covers auditing, prompt research, optimization of up to five priority pages monthly, technical AI SEO and reporting. Premium, $2,999 per month, adds authority and citation building, advanced tracking, competitor monitoring, thought leadership and a dedicated account manager. Both can be cancelled at the end of any month.
More detail on the services page and the full FAQ.
We run your brand through 20 prompts your customers genuinely ask, across every major engine, and send you the raw answers — including which competitor gets named when you do not. Free, and useful whether or not you ever hire us.
We'll run your brand through 20 real customer prompts across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews, and send the results to you within 2 business days.
Nothing else is needed from you. The report lands in your inbox — including which competitors get named when you don't.
Prefer email? Write to hello@rippleagents.co and we'll reply the same day.