AI search visibility, run for you entirely.
2 Steps Ahead takes AI search visibility off your hands. AI Search Visibility as a Service for mid-market and enterprise B2B software and tech companies.
ChatGPT 
Claude 
Gemini 
Perplexity 
Copilot 
Grok 
AI Overviews Assistants answer from pages they can crawl, read and attribute. Being quotable is what decides whether they name you, and that is a different job from ranking tenth.
“Before we started optimising for AI search, it barely brought in any leads. Nine months later it brings in close to a third of our qualified leads each month, and five times as many meetings per month.”
Sander Roose Founder & CEO, Omnia Retail Omnia Retail went from 2% to 29% of its monthly qualified leads via AI search in nine months
Of all qualified inbound leads and contact requests Omnia Retail receives in a month, the share arriving through LLMs and AI search rose from a 2% baseline to 29% nine months later. Measured plainly: a required "how did you hear about us" question on every contact form, not a modelled attribution guess.
The share is only half of it. Over the same nine months, the number of meetings booked through AI search each month grew fivefold: more of the pipeline, and more pipeline in absolute terms.
Fewer visits, each one worth more
Someone who arrives from an assistant has already asked the question, read the comparison and been given a shortlist. They land further down the funnel, and it shows in what they do next.
LLM referrals clicked through to a sign-up at 1.66%, against 0.15% for search traffic.
Microsoft Clarity, 1,277 publisher sites, Nov 2025Revenue per visit from AI-referred traffic versus all other traffic, converting 60% better and bouncing 33% less.
Adobe Analytics, US retail, July 2026, via Digital Commerce 360Of B2B software buyers now start their research in an AI chatbot more often than in Google, and 69% ended up choosing a vendor they had not planned on because a chatbot recommended it.
G2, survey of 1,076 B2B software buyers, Apr 2026ChatGPT traffic to Webflow converts at 24%, six times Google, and two in three of those sign-ups convert within seven days. AI discovery now drives 10% of its sign-ups.
Webflow, one company, via Growth Unhinged, Nov 2025These are other people's numbers, with the sample named on each. Not every study agrees: in e-commerce, some find AI referrals converting no better than search. The gap is widest where a purchase is researched and compared first, which is how B2B software is bought. The full breakdown, with every source.
Six things, done properly
- 01
Prompt research
The questions your buyers actually ask an assistant rarely match the keywords in a content plan. We pull them from tracked-prompt data, sales call transcripts, support tickets and the communities where people compare vendors out loud.
- 02
Citation-ready content
Being the best answer is not the same as being the cited one. We decide what onsite and offsite content has to exist, and in what shape, for an assistant to quote it as the consensus view, then check that against what it already says about you: what gets included, what gets left out, and what closes the gap.
- 03
Technical AEO
Structured data, entity clarity, internal linking, crawlability, page architecture: the unglamorous work that decides whether any of the above is even reachable. Most sites do not need more content, they need the content they have to be readable.
- 04
Citation tracking and analytics
A tracking dashboard is a data source, not a strategy. We turn what it shows into direction, and where a priority prompt needs a real, logged-in check instead of a modelled guess, we run it by hand.
- 05
Offsite AEO
Not every mention carries the same weight with an assistant. We map which publishers, communities and citations actually move your prompts, and put the effort where an assistant is already listening, not where it is easiest to get published.
- 06
AI search advertising
OptionalPaid placement now sits inside the answer itself, alongside the sources an assistant names. As a module on top of either package, we set it up, buy it and measure it against the same frozen baseline as the organic work, so the two are never left competing for credit.
One page says it. That is a claim.
Nine independent places say the same thing about you: G2, Trustpilot, Wikipedia, Reddit, YouTube, LinkedIn, Substack, Medium, and the listicles and reviews written about you elsewhere. An assistant weighs corroboration, not confidence, and a fact repeated only on your own site is the easiest thing for a model to discount.
This is what our off-site authority work is built to earn, on every package: real placements on the third-party sites assistants actually check, not more copy on the site you already control.
G2 
Trustpilot 
Wikipedia 
Reddit 
YouTube 
LinkedIn 
Substack 
Medium Boring principles, applied without exception
Measure first, write second
Every recommendation starts with a number, and we tell you when the number says do nothing.
We move fast, you sign off
We work independently between check-ins so nothing waits on us, but nothing goes live, gets sent or gets spent without your permission first.
You own the work
Your repositories, your properties, your data. Scripts and documentation are handed over, so nothing here depends on us staying.
Where we are useful, and where we are not
You are a B2B software or tech company, mid-market or enterprise. Competitors get named in AI answers and you do not, and nobody on your team has time to work out why.
You are pre-product-market-fit, a consumer brand, or a local business.
Two steps ahead starts with one honest audit
Tell us the domain and what you think the problem is. You get back what the data says, including the parts that disagree with you.