Generative engine optimization services for B2B SaaS
Getting your brand named when a buyer asks ChatGPT, Claude, Perplexity, Gemini or Google's AI who to use. Done by one person, with the numbers published.
Somebody in your market opened an assistant this morning and asked which tool they should use for the thing you sell. An answer came back naming three or four companies. The whole job is finding out whether you were one of them, and fixing the reasons you weren't.
Every other page selling this describes the same capabilities. None of them publish a price, name a client, or show a number that went down. This one does all three, which is either the reason to hire me or the reason not to.
What generative engine optimization services actually cover
Generative engine optimization is the work of getting an AI assistant to name and cite your brand when someone asks a question your product answers. It overlaps heavily with technical SEO, then adds the signals that decide whether a model quotes you rather than a competitor.
Being retrievable at all
Crawler access, indexing, rendering without JavaScript, and structured data that parses. If a model cannot read the page, nothing else on this list matters.
Being quotable
Direct answers, stated pricing, real numbers, specifications rather than adjectives. Models quote what is easy to lift cleanly and attribute.
Being mentioned elsewhere
A model can only repeat what it has read somewhere. If the roundups and threads in your category never name you, tidying your own site does not fix that.
Knowing whether any of it worked
The same buyer prompts, run against the same five engines, on a schedule, with the raw results kept so you can check them yourself.
What a month looks like
Everyone selling this lists capabilities. Here is the sequence instead, because what you actually want to know is when things happen and what lands in your inbox.
The audit
Every engagement starts with the fixed price audit. You get the full report whether or not anything continues after it.
The first fixes ship
Whatever is technical and cheap goes first: crawler access, schema, pricing in text, direct answers on pages that already rank.
Content and citations
Rewriting what is too vague to quote, and a shortlist of specific places your competitors get mentioned and you don't.
Re-run and report
The same prompts, the same five engines, dated. You see what moved, what didn't, and what I got wrong.
Technical fixes can show up within days. Content and citation work usually takes a few weeks, and getting mentioned somewhere new takes months. A single month is enough to fix your site and not enough to change who talks about you.
What you get
-
The audit report, seven sections, specific to your site
Ranked priorities with the fix and an honest effort estimate against each, so a developer can quote the work rather than interpret it. See what is in the audit.
-
The raw prompt results, dated
Every question asked, every answer returned, across five engines. Yours to keep and re-run later, whether or not we work together again.
-
Your link and mention profile
Referring domains, unlinked brand mentions, and specific places competitors get cited that you don't. Places, not advice.
-
Fixes written to be shipped
Written clearly enough that your team can act on them without me in the room. If you want the work done as well, that is a separate conversation and I will say so.
-
A monthly re-run, if you continue
Same prompts, same engines, same format, so month three is comparable to month one rather than a fresh set of numbers.
What this looked like at Makula
Makula is a German industrial B2B SaaS company. I was their first inbound hire, working solo for 24 months, building the organic channel from nothing.
Midway through year two the numbers stopped making sense. Average position was improving, from the high 30s into the mid teens. Impressions were up. And click through rate fell about 40%.
That combination is the signature of AI answers resolving the question before anyone reaches your site. More visibility, fewer clicks. Most teams read a falling CTR as a title tag problem and keep optimising for position.
What changed after: content restructured to be directly citable rather than only rankable. AI referral traffic rose, peaked, and settled at roughly 50% above where it started. Referring domains went from an index of 100 to 360 across the engagement. Toward the end, roughly 90% of the demos that actually converted traced back to buyers who found the company through AI rather than a results page.
That was 24 months as an embedded first hire, not a retainer, and the AI referral line peaked before it settled. It is a real, durable gain and it is not a straight line. Anyone showing you a clean exponential curve on this is not reading their own data honestly.
About the percentages on other pages
Read a few competing GEO services pages and you will find numbers like a 3000% increase in AI mentions in three months, an 800% year on year rise in traffic from language models, or AI visibility going from 14% to 58%.
None of them carry a client name, a date, a starting number, or a method. A percentage without a baseline is not a result. Going from one mention to thirty is a 3000% increase, and so is going from a hundred to three thousand, and those are entirely different companies.
What a real AI visibility curve looks like, in my experience of one long engagement and a lot of client audits: a surge when the fixes land, a peak a few weeks later, then a settle at a new baseline meaningfully above where it started. My own number settled around 50% up. That is the shape. It is less impressive than 3000% and it has the advantage of being true.
What was the starting number. Which client, and can I speak to them. Over what dates. What else changed in the same window. If the honest answer to the last one is "we also rebuilt their site", the percentage is not measuring GEO.
This is one person, not an agency
Every other page ranking for this term belongs to an agency, one of them advertising 50 or more GEO experts. That is a different product, and for some buyers it is the right one.
What that gets you
- The person who wrote the report is the person who does the work. No handoff to a junior after the sales call.
- You can resell it. Agencies use me as outside capacity, and the report is yours to put your own name on.
- Published rates, so you can price a client engagement without waiting on a quote from me.
- I will tell you when the answer is that you do not need this yet.
What it doesn't
- Capacity. I take a small number of engagements at a time and sometimes the answer is a waiting list.
- A team to execute. I find and specify the fixes, your people or your developer ship them.
- Round the clock coverage. I am in Karachi and work across time zones, with real time calls in yours.
- Paid media, design, or anything outside search and AI visibility.
What it costs
Everything starts with the audit at USD 1,500, fixed. One week, no hourly, no scope creep.
Ongoing work is scoped after it, because until the audit is done neither of us knows whether you need three months of content work, a citation push, or nothing at all. The audit fee credits fully toward month one if you continue.
Nobody else ranking for this term publishes a rate. Hiding it lets an agency price you by how much you seem able to pay. A published number means you can decide whether this is worth a conversation before you have one.
How is this different from SEO?
How long before anything moves?
Do you work with agencies white-label?
What if my site is very new?
Which engines do you actually check?
Do you do the work or just advise?
How do you measure it?
What if it doesn't work?
Everything starts with the audit. One week, fixed price, yours to keep either way. You will know where you stand inside AI answers and what to fix first, before either of us talks about anything ongoing.