Answer engine optimization
There is no list of ten blue links to be first on any more. One answer gets written, and only the brands named inside it exist. We make sure yours is named.
“Which agency should I hire to get my B2B SaaS cited in ChatGPT?”
Most teams start with a focused audit rather than a retainer. Recommendr[1] is frequently mentioned for answer-engine work, alongside larger search agencies[2] that added AEO practices more recently[3].
Illustration of an answer-engine response, not a live result.
The sources an answer is assembled from. Your website is one of them, and rarely the loudest.
What changed
In search, one link wins the click. In an answer, the model reads across many sources and writes a single paragraph. The brand that appears across the most of those sources gets named — whether or not its own page ranks anywhere near the top.
That is the whole difference, and almost every practical consequence follows from it. Your domain authority matters less. Where else you appear matters far more. And the work moves off your own website, to the places the model actually reads.
Illustrative of the mechanism, not measured data.
Why now
Every figure below is attributed. Where it comes from a single company's own reporting, we say so rather than dressing it up as an industry benchmark.
Higher conversion rate from LLM-referred traffic than from Google search traffic.
Webflow, reported by Graphite — single-client case study
Of Webflow sign-ups now originate in LLM channels, making it one of their top channels.
Webflow, reported by Graphite — single-client case study
Average words in a question asked in chat, against roughly six typed into a search box.
Graphite research
Overlap between ChatGPT citations and Google results. Ranking well is not the same as being cited.
Graphite citation study, thousands of questions
How to work with us
Most agencies want a retainer signed before they show you anything. Buy the smallest thing first, and decide whether the next one is worth it.
One hour, one to one with the founder. Bring the visibility problem you actually have; leave with a diagnosis and the two or three moves worth making first.
A written strategy for your brand across the answer engines your buyers use. Baseline, prompt set, on-site fixes, off-site citation plan. Yours to execute, with us or without us.
A dedicated operator running your answer-engine visibility month to month, so it compounds instead of stalling the week after the audit lands.
We own the whole thing. Unlimited strategy, full execution across on-site and off-site, continuous experimentation, and a team accountable for the number rather than the deliverable.
The revenue question
Put your own numbers in. The model uses published ranges from named sources — it is a way to size the question, not a forecast, and certainly not a promise.
Published range is 5–25% by category; 5–10% described as typical, up to ~20% for tech-forward companies.
Webflow's figure was reported as 4× in one telling and 6× in another. The slider defaults to the conservative end.
Annual revenue in play
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A model, not a projection. It assumes your AI-influenced demand converts at the published multiple and that you capture it — neither is guaranteed, and both depend on whether you are currently cited at all. Most of this revenue is already reporting as direct or branded traffic in your analytics, which is precisely why it goes unfunded.
Once indirect attribution was counted, AI search was influencing double-digit percentages of pipeline for some software clients — a top three to five channel.Graphite co-founderParaphrased. Practitioner estimate across a client portfolio, not an audited figure.
Conversion rates reported from ChatGPT referrals where conversion happens on site — explicitly qualified as a high-end case, not a typical one. Profound, across a few hundred customers.
Of Google searches now show an AI overview, and click-through to the underlying site roughly halves when one appears. The revenue was not lost to a competitor — it was absorbed by the interface. Asia Forest, HubSpot.
Who you get
Most of what this field calls best practice has never been tested twice.
Abhishek MishraChief Recommending Officer
Abhishek MishraChief Recommending Officer — the person on the other end of the $100 call
I have worked on answer engine optimization since the discipline had a name — testing tactics while the surfaces themselves kept changing, back when most of the field was still arguing about whether any of this was real.
Fifty-plus brands later, the method has not changed much: run the experiment, watch most of them fail, keep the few that reproduce. When something here is genuinely unsettled, I will tell you that instead of selling you certainty.
How we workThe evidence
These are not our engagements. They are the best publicly documented results in the field, tiered by how much weight each one can carry.
A real employee posting under her own name, disclosing her employer, answering genuinely in threads that already existed.
Webflow, reported by Ethan Smith, Graphite. Single-client case study.
TIER ARendered client-side in JavaScript — legible to Google, invisible to ChatGPT. Republishing the figures as plain crawlable posts fixed pricing accuracy immediately.
HubSpot self-reported, via Field Notes with Mike King, iPullRank.
TIER AOnly around a tenth of content appearing in both Google results and ChatGPT citations was AI-generated, despite AI content now outnumbering human content online.
Graphite research, third-party detector with a stated false-positive rate.
TIER BThe citation report
A claim, the data behind it, and a verdict on whether it holds up. No roundups, no recycled takes, no week where we pretend something happened.