Industry
GEO for B2B SaaS: be on the shortlist AI builds for buyers
Software buyers now ask AI for tools, comparisons and alternatives before they visit a vendor site. We make your product clear, consistent and citable.
Fixed price, done for you, 30 days. We do not promise citations or pipeline.
| Prompt | Engine | Visibility | Status |
|---|---|---|---|
| best crm for a 10 person sales team |  ChatGPT | 66% | Cited |
| compare project management tools for agencies |  Perplexity | 51% | Mentioned |
| alternatives to a big enterprise suite |  Google AI Overviews | 37% | Not shown |
| does it integrate with slack and hubspot |  Gemini | 59% | Cited |
| is it soc 2 compliant | ChatGPT | 33% | Mentioned |
| pricing for 50 users | Google AI Mode | 24% | Not shown |
A SaaS product has a particular problem. Engines often rely on several kinds of source at once: your own site, review platforms, community discussions, analyst style roundups and documentation. If those sources describe you differently, the answer may be vague or wrong.
We cannot control what third party sites say, and we cannot promise a mention. We can fix the part that is yours: what your pages say, how clearly they say it, whether crawlers can read them, and whether your product facts agree everywhere you control.
Buyer questions
What software buyers ask AI
B2B software prompts tend to follow the buying journey. Early on, people describe a problem and ask what kind of tool solves it. Then they ask for lists of tools in a category, often with constraints such as team size, region, budget range or required integrations. Later come comparisons between two named products, requests for alternatives to a market leader, and questions about security, pricing models and implementation.
A typical prompt reads like a mini brief: a tool for a mid sized team that connects to a specific system and supports a specific compliance need. That shape matters, because a vague homepage cannot answer it. A page that states who the product is for, what it connects to and where it does not fit can.
Buyers in the UAE, USA and UK add their own flavour. UAE buyers often care about data residency and Arabic support. UK buyers often ask about data protection and procurement. US buyers often ask about integrations and security attestations. These are our examples of the shape of the questions, not measured volumes, and the real list comes from your sales calls and demo requests.
- Problem led questions
- Best tools in a category
- Product versus product comparisons
- Alternatives to a market leader
- Integration, security and pricing model questions
Your sales team already knows the questions. A one hour call with them is worth more than a keyword export.
Compare
B2B software prompts by buying stage, and the page each needs
| Stage | Example prompt shape | Page or asset that should answer it |
|---|---|---|
| Problem framing | How do finance teams automate month end reconciliation? | A guide to the problem that defines terms and steps, with your product as one option, not the whole page. |
| Category discovery | What are the best tools for X for a mid sized company? | A clear category page: what the product is, who it is for, who it is not for. |
| Shortlisting | Alternatives to a named tool, or tools like it | A fair alternatives page with dated, attributable facts. |
| Head to head comparison | Your product versus a named competitor for a specific need | A comparison page that states differences by use case and says where the competitor fits better. |
| Fit and integration | Does it integrate with a named system? Does it support SSO? | An integrations page and docs that state support plainly, with version or date. |
| Security and procurement | Is it compliant with a named standard? Where is data stored? | A security page that lists only what you hold, with links to your trust centre. |
| Pricing and rollout | How is it priced? How long does implementation take? | A pricing explainer that states plans and what drives cost, even if exact quotes are private. |
Example shapes only, not measured volumes. We build the real prompt list from sales calls, support tickets and your CRM notes.
What engines need
What AI engines tend to need from a software source
A working view as of October 2026. Engines change often and differ from each other.
A one sentence definition
A plain statement of what the product is, who it is for and what category it belongs to, repeated consistently across your site.
Specifics over adjectives
Named integrations, supported platforms, deployment options, security practices and limits, stated as facts instead of slogans.
Fair comparison content
Pages that compare approaches or features honestly, with dates and with clear notes on where another type of tool is a better fit.
Readable documentation
Docs, help articles and API references that are crawlable, well structured and not hidden behind a login or a script only viewer.
Consistent entity facts
Company name, product name, founding details, category and pricing model that agree across site, profiles and review listings.
Crawler access
Robots rules and server settings that let the AI crawlers you choose reach marketing pages and public docs.
Sources
Which sources do AI engines tend to draw from for software questions?
Quick answer: for software questions engines tend to draw on vendor sites and documentation, review and comparison platforms, community discussions on Reddit and forums, developer sources such as GitHub, integration marketplaces and partner directories, analyst and industry publications, and listicle style articles. The mix depends on the engine, the category and the week. This is a working view as of October 2026, to be verified against your own baseline.
For a SaaS company this has a plain consequence. Your own site is rarely the only source describing you, and in a crowded category it is often not the most cited. An engine asked for the best tools in a category may rely on a comparison article, a review profile and a discussion thread more than on any vendor page. Your site still matters because it is the source of record for what the product does, who it serves and how it integrates, and engines tend to check facts against it.
So the useful question is where the gaps are. In Week 1 we record which outside sources each engine names for your category prompts. Some will be pages you can correct or complete yourself, such as marketplace profiles and review listings. Others, such as editorial articles, take longer and are outside the Pilot. The audit tells you which is which. For background on how this works, see how AI search engines choose sources.
- Review and marketplace profiles complete and current
- Product description identical across profiles
- Documentation public and crawlable
- Outside sources ranked by how often engines name them
- Vendor site and docsYour own definitions and facts
- Review and comparison sitesThird party views of the category
- Community threadsReddit, forums and Q and A
- Developer sourcesGitHub and integration marketplaces
- Analyst and trade pressLists and industry articles
What we change
The changes we make on a SaaS site
Technical first, then up to 10 pages rewritten for answers.
On the technical side we test AI crawler access, fix robots rules and the sitemap, tidy canonicals, and add structured data that matches the page. For software this often means Organization, SoftwareApplication where it fits, and FAQ markup on pages that truly answer questions. If your site is a JavaScript app, we check what a crawler receives and recommend server rendering or prerendering for key pages. Our post on JavaScript and headless sites covers the detail.
On content, we rewrite and restructure up to 10 priority pages. Typical picks are the homepage, the main product page, two or three use case pages, an integrations page, a pricing explainer, a security page and one or two comparison or alternatives pages. Each gets a direct answer at the top, headings that match real questions, a short FAQ and schema.
- Product definition made consistent
- Use case and integration pages made answer ready
- Comparison pages written fairly and dated
- Rendering checked for crawlers
- Structured data matched to visible content
- Direct answerTwo sentences with the range
- What moves the priceScope, markets, competition
- Comparison tableRetainer vs project vs tools
- Proof and limitsDated facts, honest caveats
- FAQSix real questions
Page types
Page types to build for a software company
The Pilot rewrites up to 10 pages. These are the types that usually make the list.
Product and category page
One sentence that defines the product, then who it is for, key capabilities and what it is not. This sentence should be the same everywhere.
Use case pages
One per job the product does. State the problem, the steps in the product, the typical buyer role and the limits.
Integrations hub
Each integration named, what data flows, the direction, and any plan limits, with a last updated date.
Alternatives and comparison pages
Fair, dated, specific. Say which kind of buyer each product suits. Never attack a vendor.
Security and compliance page
What you hold, what you do not, where data is stored and who to contact. Link to evidence when you can.
Documentation and glossary
Public, crawlable help pages and plain definitions of the terms in your category.
Beyond your site
The sources you do not own
For software, a lot of the evidence lives elsewhere.
Review sites, community threads, partner directories and integration marketplaces often show up as sources in AI answers. The Pilot does not include ongoing digital PR or link building. What it does include is an audit that shows which outside sources engines currently use for your category, so you know where gaps exist.
That audit feeds your 90 day roadmap. It may point to profile corrections you can make yourself, a partner page to update, or a type of content worth earning over time. Our page on authority building and our post on community mentions explain how that side works.
- Outside sources mapped per prompt
- Profile gaps listed
- Roadmap for the next 90 days
| 1 yourbrand.com | Your site | 31% | |
| 2 industry directory | Directory | 22% | |
| 3 review platform | Reviews | 17% | |
| 4 competitor site A | Competitor | 14% | |
| 5 community forum | Forum | 9% | |
| 6 news and trade press | Press | 7% |
Limits
What GEO will not do for a SaaS company
It will not guarantee that your product is named. Engines choose from many sources, and a competitor may be a better fit for a given prompt. It will not turn a weak product page into a trusted one without real facts to put on it. It will not replace your sales process or fix a product that does not match the market.
We also do not write false or unverifiable claims. If your page says you are the fastest or the most secure, we ask what evidence supports it. Claims about customers, awards or numbers go on a page only if you can show where they came from, and we do not invent any. If a statistic is used, it should name its source and date.
Some regulated buyers, such as finance or public sector teams, ask AI about compliance. We will write what your security and legal teams approve, and we will not state certifications you do not hold.
- No unsupported superlatives
- No invented customers or numbers
- Certifications stated only if held
- No guarantee of mentions
The problem
Common SaaS GEO mistakes and how to fix each
A tagline instead of a definition
Phrases such as the platform for modern teams tell an engine nothing. Write a plain sentence that names the category, the buyer and the main job.
Comparison pages that only praise you
Engines and buyers distrust them. State where each product fits and date the page.
Hiding integrations in a dropdown
Buyers ask whether you connect to a named system. Publish a crawlable page with one section per integration.
Gated documentation
If help content sits behind a login, engines cannot cite it. Keep core docs public.
Ignoring review profiles
Outdated listings can contradict your site. Update them and keep the product description identical.
Worked example, hypothetical
Worked example, hypothetical: a project management tool for agencies
- 1
The situation
An invented UK based vendor sells project management software for creative agencies. The site is a React app, the homepage says it is a platform for teams, and there are two blog posts about productivity. This is a scenario to show the method, not a client result.
- 2
Baseline
We write 20 prompts across stages: best project tools for a 20 person agency, alternatives to a named tool, whether it integrates with a named accounting tool, and how it is priced. We run them in five engines and record named vendors and cited sources.
- 3
Findings
Typical findings: crawlers receive an almost empty page, the product is described three different ways across the site, the site, a review profile and a marketplace listing give different integration lists, and there is no page that says who the tool is not for.
- 4
Fixes
We make key pages server rendered, define the product in one sentence and use it everywhere, and rewrite up to 10 pages: product, three use cases, integrations, security, pricing explainer, an alternatives page and a comparison page. We list the profile fixes the team should make.
- 5
Retest
In Week 4 we repeat the prompts and report what moved, including where a competitor still leads. The roadmap decides whether reviews, community presence or documentation comes next.
Compare
Compliance and claims sensitivities for software content
| Sensitivity | Why it matters | How we handle it |
|---|---|---|
| Security certifications | Claiming SOC 2, ISO 27001 or similar when you do not hold it is misleading and a contract risk. | We state a certification only when you confirm you hold it, with the scope and date where you can give them. |
| Data protection claims | Statements about GDPR, data residency or privacy must match your real setup and policies. | Your security or legal lead approves each statement. We link to your policies. |
| Customer names and logos | Using customers without permission is a contract and trust problem, and fake logos are worse. | We use only customers who agreed in writing. We never invent any. |
| Performance and ROI claims | Numbers such as time saved or revenue gained need a source and a method. | We use figures only with a named source and date, or leave them out. |
| Competitor comparisons | Unfair or outdated claims can breach advertising law in some markets and damage trust. | We compare on documented facts, add a date and note where a competitor fits better. |
| Regulated buyers | Finance, health and public sector buyers ask AI about compliance before they contact vendors. | We write what your legal team approves and do not stretch a claim to fit a prompt. |
We are not lawyers. Your legal and security leads approve final wording.
Software claims we only publish when true
- ✓Certification you confirm you hold
- ✓Privacy statements that match your policies
- ✓Customer names used with permission
- ✓Statistics with a named source
- A certification you do not hold
- Invented customer logos
- Fastest or most secure with no evidence
Process
How it runs on the GEO Pilot
- 1
Week 1: baseline
We test up to 20 buyer prompts across five AI engines, check AI crawler access, and run a technical and entity audit.
- 2
Week 2: technical fixes
We fix crawler access and robots rules, the sitemap, canonicals and structured data, and add llms.txt if it helps.
- 3
Week 3: priority pages
We rewrite and restructure up to 10 priority pages with direct answers, question headings, FAQs and schema.
- 4
Week 4: retest and report
We run the same prompts again, hand over a before and after report, and give you a 90 day roadmap.
FAQ
Questions people ask
How do I get my SaaS recommended by ChatGPT?
There is no switch and no guarantee. What helps is a clear product definition, crawlable pages, honest comparison and use case content, and consistent facts across the web. Our guide on getting mentioned in ChatGPT explains what is known.
Does GEO work for early stage products?
It can help with clarity, but a young company often has few outside sources engines trust. We will tell you honestly in Week 1 what the baseline looks like and what the 90 day roadmap should focus on.
Our site is a JavaScript app. Is that a problem?
It can be. Some crawlers do not run scripts, so they may see little. We check what a crawler receives and recommend rendering fixes for key pages. It works on custom code and headless builds.
Will you write comparison or alternatives pages?
Yes, if they are fair and dated. We do not write pages that attack other vendors or make claims we cannot support. Engines and buyers both tend to distrust one sided comparisons.
Do you need access to our product or docs?
We need access to your website and its public content, via admin login, staging or a Git repo. For documentation, we work with whatever system hosts it, as long as it is public and crawlable.
Does this include link building or PR?
No. The Pilot does not include digital PR, link building or paid media. It maps outside sources and gives you a roadmap, and ongoing work is quoted separately.
What does it cost?
The GEO Pilot is a fixed $999 USD, one time, delivered inside 30 days. See the pricing page for how ongoing work is quoted.
Which sources do AI engines use when buyers ask for software?
They tend to mix vendor sites and documentation, review platforms, community threads, developer sources, marketplaces and editorial roundups. The mix varies by engine and category, so we map it per prompt in the Week 1 baseline. See brand mentions versus citations for how outside mentions differ from links to your site.
Should we publish alternatives and comparison pages?
Yes, when they are fair, specific and dated. Say which kind of buyer each product suits, link to the competitor's own documentation for facts you cite, and avoid claims you cannot support. One sided pages tend to read as adverts. Our post on GEO content strategy covers page structure in more depth.
How many pages does a SaaS site need for GEO?
Fewer than most teams expect. A clear product page, a handful of use case pages, an integrations page, a security page and a pricing explainer cover most buyer prompts. The Pilot rewrites up to 10, chosen after the baseline. The GEO Pilot sets the list after Week 1, and the free AI Visibility Checker gives an early view.
Keep reading
Guides on this topic
AI Search in the UAE: How Buyers Use AI to Find Businesses
How UAE buyers phrase questions to ChatGPT, Google AI Overviews and Perplexity, what that means for your pages, and a simple method to test it for your own market.
Read moreAI search traffic in Google Analytics: how to track ChatGPT and AI referrals in GA4
GA4 can show some visits from ChatGPT and other AI tools, but not all. This guide explains how channels and referrers work, how to set up a report, and where the data stops.
Read moreAI visibility metrics: citation share, share of voice and mention rate defined
Mention rate, citation rate, citation share and AI share of voice are often used loosely. This guide defines each one, shows how to compute it from a fixed prompt set, and explains the limits.
Read moreStart your GEO Pilot
Tell us your website and the five questions your buyers ask. We reply within one working day with a clear next step.
- Fixed $999, one time
- We implement the work for you
- Any platform, delivered in 30 days