AI SEO for Software Development Companies
Get named when a founder or CTO asks an AI who should build it.
Cited means a model read your page. Recommended means it said your name back. We work on the second one.
Ask an AI which agency to hire for a software development company and it will hand you a list of SaaS agencies. You do not sell a product. You sell a team, and the questions your buyers ask are nothing like the ones a SaaS company gets asked.
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Thirty minutes. We go through where you show up in AI answers today, and how we would get you into the ones you are missing.
Book your AI visibility callWhat AI SEO for software development companies means
AI SEO for software development companies, also called generative engine optimization or GEO, is the work of getting your firm named when someone asks an AI who should build their software.
Throughout this page, you means your development company, whether you do custom software, mobile apps, web, AI work, staff augmentation or offshore delivery. Buyer means the founder, CTO or product lead deciding who to hire.
The systems that decide it are ChatGPT, Google AI Overviews and AI Mode, Perplexity, Gemini and Claude.
A model does not evaluate development firms. It reads pages that already list them, then repeats what those pages say. So the work splits in two: what your own site says about you, and what other people's pages say about you.
The agencies recommended to you are SaaS agencies
Ask ChatGPT for the best AI SEO agency for software development companies and you get a list. We ran it in a clean session on 3 September 2026 and got seven names.
Then read what it says each one is for. B2B SaaS. Established B2B software and SaaS. SaaS companies focused on pipeline. SaaS and content-led growth. B2B SaaS again.
Six of the seven serve SaaS companies. The engine even says so itself: if you are a software development company doing custom, mobile, web, AI or offshore work, it would not automatically pick a SaaS SEO agency. Having said that, it names nobody else.
Why the difference matters more than it sounds
A SaaS company sells a product. Its buyer compares features, pricing tiers and integrations, and the questions are about the thing.
You sell a team. Your buyer is not comparing features. They are trying to work out whether you can be trusted with something that does not exist yet, on a budget, in a timezone, under a regulation.
So the questions look like this:
- Best software development company for [industry]
- Custom software development company in [country]
- Who should build a [technology] product for a Series A company
- Hire dedicated developers for [stack]
- [Country] versus [country] for offshore development
- Development partner with [compliance framework] experience
- Alternatives to [the firm they are already talking to]
None of those is a feature comparison. Every one of them is a judgement about risk. A SaaS playbook aimed at feature and pricing questions will not win a single one.
What we know about winning those questions
In August 2026 we ran 40 buying-intent prompts across eight B2B SaaS categories in ChatGPT and Google, and classified all 490 cited URLs by page type and owner.
Comparison pages took 56.7% of citations on head-to-head questions. Pricing pages took 53.4% on cost questions. Listicles took 30.0% on category questions.
The last of those three matters most to you. Category questions, the best development company for something, are answered from listicles more than from any other format. Which means most of the work is not on your own site. It is on the pages that already list firms like yours.
We published the raw JSON, the classified CSV and the classifier script, so you can check the classification rather than take the number on trust.
Your peers are already buying this
We read 524 verified client reviews on Clutch. Every one a real engagement with a disclosed budget.
Software development and IT services firms were 15.3% of all buyers, the largest single group. Among the buyers who purchased AI search work specifically, they were 22.2%. Also the largest.
Two other things from the same set. 37 of the 45 AI search purchases happened in 2026, so this became a line item inside the last year. And only 2 of the 524 reviews quantify a commercial result at all, which is why the same few pages keep getting cited: almost nobody publishes a number.
What we do
Sourced Prompt Discovery
The problem: I cannot tell where we stand. Every time I check I get a different answer.
We build your prompt space from the questions your buyers actually ask, using the industries you serve, the stacks you work in, the regions you deliver from and the firms you lose deals to. Then we run it repeatedly in fresh sessions across ChatGPT, Perplexity, Gemini and Claude. The result is recorded as a ratio, not a screenshot.
What you hold: your position. Every buying question, and where you stand on each. Named, cited or absent, and who was named instead.
Citation Gap Analysis
The problem: I do not know what actually moves it. I have tried things and nothing happened.
Every run logs every source the model cited. We tally them by site and by exact page and rank them by how often they decide the answer. Then we work out why those pages win and yours does not.
In development company answers the recurring sources are usually directories, review platforms, roundup listicles and a small number of practitioner threads. We name the specific pages deciding the answers for the work you actually want.
What you hold: your gaps. The sources that decide your category, and for every question you are losing, the specific reason the winning page beats yours.
Source Engineering
Getting your firm onto the pages these models already trust, written so a model will repeat it.
The problem: the pages that decide these answers are not mine, and I cannot get onto them.
We split the work between what belongs on your site and what has to live on someone else's. We write it so it can be lifted as a recommendation rather than read as information, place it, then re-run your questions to check it is being used. If it is not picked up within a run cycle, it moves.
What you hold: your placements. The pages you are now on that you were not before, each tied to the question it was meant to win.
What we do not do
We sell one thing. Getting you named in AI answers, and the tracking underneath it.
We do not run your organic SEO programme. We do not manage paid. We do not build links on a monthly quota. We do not write your blog on a content calendar. We do not report on closed revenue, because AI answers do not pass a referrer and any agency claiming that attribution is guessing.
We also do not run your Clutch or GoodFirms profile for you. We will tell you which of those pages decide your answers and what is missing from your listing, and then you or your team fill it in. It is your account and your reviews.
If you want one vendor for the whole marketing function, we are the wrong firm and we will say so on the call.
Pricing
Published in full on our pricing page, including what each tier is not for.
Movement Clause. If your tracked Share of Answer has not moved by day 90, month three is free.
Day-30 Kill Switch. Cancel inside the first 30 days and keep the audit, the prompt set and everything built.
AI SEO for software development companies: questions we get asked
Do founders and CTOs really use AI to pick a development partner?
Some do, and the number is rising. We will not hand you a percentage we cannot source. What we can tell you is that across the 524 reviews we analysed, 37 of the 45 AI search purchases happened in 2026, and software and IT services firms were the largest group buying it.
How is this different from a SaaS SEO agency?
A SaaS agency optimises for feature and pricing questions, because that is what a product buyer asks. Your buyer is judging risk, not features. Ask any agency you are considering to show you the exact prompts they would run for a development firm. If the list looks like it was written for a product company, it was.
Does our Clutch profile matter?
Often more than your own site does. Category questions, the best development company for something, are answered from listicles and directories more than any other format. In our study, listicles took 30.0% of citations on category questions. We identify which of those pages decide your answers and what is missing from your listing.
Does an llms.txt file help?
Not measurably. SE Ranking tested about 300,000 domains and found no effect on citation frequency. We will add one because it is free. It is not the work.
How many prompts do you test?
As many as your category needs, and the number moves. We build the set around the industries you serve, the stacks you work in and the regions you deliver from, then keep adding as the questions change. Anyone quoting you a fixed number is selling a snapshot. You see the whole set and can run any of it yourself.
Why does the answer change every time I check?
Because it does, for everyone, including us. We put geocited.io live on 19 July 2026 and six weeks later ran our own brand through ChatGPT 18 times across eight phrasings of the same question. It named us in 4. One phrasing got us named in 4 runs out of 7, always first. Reordering the same words got us 0 out of 5. One check is noise.
Can you show client work?
Zakro is published as a full case study, including the findings that were unflattering to them. We also publish two studies we ran on our own site.
What if it does not work?
No movement in tracked Share of Answer by day 90 and month three is free. Cancel inside 30 days and keep everything.
Written by Lourdes Paul Agilan, founder of GeoCited. Published .
Book a consultation call
Thirty minutes. We go through where you show up in AI answers today, and how we would get you into the ones you are missing.
Book your AI visibility call