Sauror AIGEO for SaaS: get your product recommended in AI answers
GEO for a SaaS company is getting ChatGPT to recommend your product when a buyer asks what to use. This guide is the practical version: which prompts to track, which pages assistants quote, how to read share of voice, and how to measure without guessing.
TL;DR
Write the questions buyers already type (best X for Y, X vs Y, alternatives, pricing). Measure who ChatGPT, Gemini, Perplexity, Google AI and DeepSeek name. Fix pricing, integrations, comparisons, docs and security so a fact can be quoted. Earn mentions on G2, Reddit and roundups. Let AI crawlers read HTML. Repeat the same prompts and compare share of voice. Start with a free AI visibility check if you have no baseline yet.
What GEO means for a SaaS company
GEO is generative engine optimization: being named inside the answers AI assistants write. For a SaaS team that sentence is concrete. Your buyer is not searching your brand. They are asking which product fits a job, a stack, a team size or a budget. The assistant answers with a shortlist. If you are not on it, the rest of your site never gets a visit.
GEO for SaaS is therefore not "write more blog posts about AI". It is: appear in the shortlist for the prompts that precede a demo, and be described accurately when you do appear.
Why buyers shortlist in ChatGPT
A results page shows many links. An assistant writes one answer and usually names two or three products, with a reason for each. That is a shortlist, produced before anyone opens your pricing page.
The buyer may still search later. They may not. Either way, the first names they see shape the comparison. GEO is the work of being one of those names, for the questions your category actually receives.
ChatGPT is the example most teams start with because that is where many buyers type the question. The same shortlist logic applies to Gemini, Perplexity and Google AI Overviews / AI Mode. DeepSeek belongs in the same set when your buyers use it. Claude and Grok are optional extras, not a substitute for the five above.
SaaS GEO versus SaaS SEO
SaaS SEO still matters. Assistants that search the web need pages they can crawl, index and trust. Google AI Overviews sit on Google's index. If your pricing page is blocked, slow, or only painted in by JavaScript, GEO cannot repair that by itself.
The unit of success changes. SEO asks whether you ranked and earned a click. GEO asks whether you were named in the answer. SEO can live mostly on your own domain. GEO also depends on what G2, Reddit, comparison sites and roundups say, because a recommendation question needs a page that discusses several options.
SEO positions can hold still for a while. AI answers move. The same prompt can name you on Tuesday and skip you on Thursday. Measure a rate, not a screenshot.
The prompts SaaS buyers ask
Start from the buyer, not from your keyword list. Most discovery prompts fall into four shapes. Write them in the language your buyers use, with their constraints (country, team size, stack, industry).
Keep most prompts unbranded. A question that already contains your name tells you how you are described, not whether you are found. A small branded set is still useful: "what is {you}" and "is {you} good for Y" show accuracy, not discovery.
Twenty to thirty prompts is enough for a first baseline. Spread them across the jobs you sell, not only the homepage slogan. One average across everything hides the theme where you are absent.
- Best X for Y: "best invoicing tool for a ten-person studio", "best CRM for a real estate agency".
- X vs Y: "Pipedrive vs HubSpot for a 20-person team". Use the pairs your sales team already hears.
- Alternatives: "alternatives to X", "what should I use instead of X". These prompts often run when someone is unhappy with the incumbent.
- Pricing: "how much does X cost", "X pricing for a small team", "is X worth it". If the assistant cannot find a clear price story, it will quote someone else or guess.
Step 1. Baseline
Before you rewrite pages, write down where you stand. A baseline is a fixed set of prompts, asked on each assistant you care about, with the same country and language each time.
For every answer, record three things: mentions (does the answer name you), citations (does it show a source, and is that source you or someone else), and competitors (who else is named, and in what order).
Do this per assistant. A good ChatGPT week says nothing about Perplexity. Google AI Overviews and AI Mode are their own surface. DeepSeek is separate again.
Because answers vary, one run is a snapshot. The useful number is a rate: how often you were named across the set, how often you were cited, and your share of every brand named (share of voice). Position (first, middle, last) is worth noting when the answer is a list.
You can collect a first snapshot by hand, or run the free AI visibility checker to see who one surface names today. Ongoing tracking is the same questions, repeated, not a new invention each month.
Step 2. Fix the pages AI quotes
When an assistant searches, it quotes pages that already answer the question. For SaaS, those pages are rarely the homepage hero. They are the pages a buyer opens before a call: price, stack, comparison, how it works, and whether it is safe to use.
Write each page around one question, and answer it in the first lines, in plain words. Vague claims ("the leading platform") give an assistant nothing it can repeat. A dated fact, a limit, a supported integration, or a clear "not for" sentence can be quoted.
Pricing
If a buyer asks what you cost and your pricing page is a "contact us" with no model, the assistant will fill the gap from a directory, a Reddit thread, or a competitor's comparison. Explain the model in words even when you quote on request: who it is for, what is included, what changes the price, when a trial or a first month applies.
Keep the same figures everywhere. A price on the site that disagrees with G2 or a roundup is a contradiction the model has to resolve, often by trusting the third party.
Integrations
"Does it work with X?" is a buyer prompt. A dedicated integrations page, or one page per major tool, gives the assistant a sentence it can lift. List what is native, what is via API, and what you do not support. Silence reads as "unknown", and unknown products drop off a shortlist.
Comparisons and alternatives
Recommendation questions are comparison questions. Publish honest X vs Y and "alternatives to us" pages. Include the case where the other product is the better fit. A page that only praises you is easy to ignore. A page that states differences (who it is for, limits, price model, stack) is what an answer can use.
Do not invent competitor features you have not checked. Link to the other product's own page for facts that are theirs.
Docs and use cases
Docs and use-case pages match "how do I" and "best X for Y". One page per job or industry you actually serve beats a generic solutions page. Say who it is for, what the workflow looks like, and what you need from the customer to make it work.
Security
Security, privacy and compliance pages are what an assistant looks for when the buyer is a company, not a solo user. State hosting region, what you store, and how to ask for a DPA or a list of subprocessors, in HTML, not only in a PDF. If you cannot say it in a sentence, the assistant will not say it for you.
Step 3. Third-party mentions
Your site is one voice. Retrieval for "best X" often prefers a page that already compares several products. That is why G2, Reddit, and independent roundups show up as sources.
G2 and similar review sites: real reviews from people who used the product, a category that matches what you sell, and a profile whose facts match your site. An empty or outdated profile is still a page an assistant can read, and it will read the empty version.
Reddit and communities: useful, specific answers in the threads your buyers already use beat a one-off launch post. You cannot control a thread. You can be present and accurate when someone asks for alternatives.
Roundups and "best of" lists: inclusion in a comparison that covers your category is often worth more than another post on your own blog. Never treat a company's own blog as a third-party mention. If you are missing from a list that assistants already cite, that is a contact job, not a new homepage section.
Look at the sources your baseline already surfaced. Work on those domains first. A mention on a site nobody retrieves for your prompts does not move the answer.
Step 4. Technical GEO
An assistant cannot quote a page it cannot fetch. The technical list is short.
llms.txt (a Markdown file at the root that summarises the product) is cheap to add. It is a proposal, not a promise that any assistant will follow it. Do not wait on it. The technical GEO guide walks through crawlers and structured data in more detail.
- robots.txt: allow the search and user-request crawlers you want to be found by. Blocking a training crawler is a legitimate choice. Blocking the agents that fetch a page to answer a user usually removes you from live answers. Check the operator's current documentation before you edit rules.
- Firewall and bot protection: many stacks block AI user agents before robots.txt is read. If ChatGPT cannot fetch your pricing page when a user asks about you, it will describe you from other sites.
- HTML rendering: put the facts in the HTML. Many crawlers do not run JavaScript the way a browser does. Pricing, integrations and "who it is for" should be readable with scripts off.
- Schema: Organization, SoftwareApplication or Product, FAQPage only where the page really has questions, Article on guides. Mark up what is visible. Schema is not a ranking switch. It reduces guesswork about who you are.
How to measure
Reuse the baseline. Same prompts, same language, same country, each assistant kept separate.
Mention rate: share of answers that name you at least once. Share of voice: your mentions compared with every brand named in the same answers (count a brand once per answer). Citation rate: share of answers that show one of your pages as a source. Position: first, middle or last when the answer is a list.
Group prompts by theme (job, industry, competitor pair). Never average the whole set into one number and stop there. The theme where you are at zero is the one to fix.
Repeat on a schedule. Answers move on their own. A change you made last week will not show in a single run. Sauror measures every two weeks, from the answers as users see them in the assistants' interface. That cadence is enough to see a trend without confusing noise for progress.
If you have no set yet, run the free checker, then keep the questions it wrote. The free pass is one surface. The product repeats the set on ChatGPT, Google AI, Gemini, Perplexity and DeepSeek.
GEO for SaaS tools: what to look for
A GEO tool should make the baseline boring: the same prompts, the same assistants, a rate you can explain. The table below is a checklist of criteria. It is not a ranking of vendors. Check each product on its own site before you buy.
If you want side-by-side pages rather than a generic matrix, the comparisons below are the ones we maintain. They are not a claim that every other tool fails a row in this table.
| Criterion | Why it matters | What to ask |
|---|---|---|
| Mentions in the answer | GEO is being named, not only ranked | Do you count brand names in the paragraph, or only source links? |
| Several assistants | One surface is not the market | Which assistants, and is each one scored on its own? |
| Answers as buyers see them | The interface and an API can disagree | Do you read the answer in the assistant's UI, or only a model call? |
| Repeat measurement | A single run is a snapshot | How often do you re-ask the same prompts, and do you keep history? |
| Share of voice | You can be named and still lose the shortlist | How do you count other brands in the same answers? |
| Citations and sources | Third-party pages often decide the shortlist | Do you store the domains the assistant showed? |
| Your own prompts | Category defaults miss "X for Y" | Can I track the questions my buyers actually type? |
| Price you can verify | A tool you cannot explain will not get renewed | What is on the invoice, and what is capped (prompts, assistants, sites)? |
How Sauror tracks it
Sauror measures whether ChatGPT, Gemini, Perplexity, Google AI (AI Overviews and AI Mode) and DeepSeek name a brand. Claude and Grok are optional. Measurement runs every two weeks, from the answers as users see them in the assistants' interface.
You bring a domain and a set of prompts (25 on the Track plan). Each prompt is asked on the assistants you selected. The app records whether you were named, which other brands appeared, and which sources were cited. Visibility is the share of analysed answers that name you. Share of voice is your share of the brands named. Positioning is your rank among those brands.
Track is 10 EUR the first month, then 60 EUR per month, excluding VAT. One project, 25 prompts, two assistants. Nothing to install.
The free AI visibility checker is a first pass on one surface: enter your site, read who is named, then decide whether a repeating baseline is worth it. Documentation for how figures are counted lives in How it works and Prompts.
Questions
- What is GEO for a SaaS company?
- Getting ChatGPT and the other assistants your buyers use to name your product in the answers they write. See What is GEO for the definition.
- How many prompts do I need?
- Twenty to thirty is a solid first baseline, spread across the jobs you sell. Keep most of them unbranded so you measure discovery, not vanity.
- Which pages should we fix first?
- Pricing, integrations, comparisons and alternatives, docs or use cases, and security. Those are the pages assistants quote for buyer prompts.
- Does GEO replace SEO for SaaS?
- No. Assistants that search still need crawlable pages. GEO adds a second scoreboard: mentions in answers. What is GEO covers the difference.
- How do I see if ChatGPT names us today?
- Use the free AI visibility checker. It is one surface and one run. Ongoing tracking repeats the same questions every two weeks on several assistants.
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