GEO for SaaS: How Software Companies Get Recommended by ChatGPT, Claude and Perplexity

Shortlists now arrive pre-compared

Software buying used to begin with a search, a listicle and a dozen tabs. Now the first draft of the shortlist is written by a model, complete with a comparison table nobody at your company approved. The questions are national, specific and often about you by name:

• "Best CRM for a 10-person sales team."
• "[Your product] vs [competitor]: which is better for agencies?"
• "Alternatives to [competitor] that are cheaper."
• "Does [your product] integrate with QuickBooks?"
• "Is [your product] SOC 2 compliant?"
• "How much does [your product] cost per seat?"

Category questions draw on review sites, listicles and forum threads. Comparison, integration and security questions can only be answered well from your own pages, or, if you have none, from a competitor's version of you. SEO is still the base layer. In a January 2025 Seer Interactive study of finance and SaaS queries on GPT-4o, page-one Google rankings correlated about 0.65 with brand mentions in the answers, while backlinks showed weak or no correlation. Correlation is not cause, as brand mentions versus backlinks explains, but it is a strong hint about where to start.

G2 now owns Capterra, and both are courting the models

On January 29, 2026, G2 agreed to buy Capterra, Software Advice and GetApp from Gartner. G2 says the combined platforms hold nearly 6 million verified reviews and reach more than 200 million software buyers a year, and it pitches that data for AI and LLM recommendations. Most of the software review record now sits under one owner. Here is where a model learns about your product, and what each source asks of you.

Google is not the only index that counts here. Press reports say Claude's web search appears to use Brave Search, which Anthropic had not confirmed at the time; Microsoft says Copilot runs on Bing's index; and Seer Interactive found in February 2025 that 87% or more of ChatGPT search citations matched Bing's top organic results. A SaaS company that only watches Google rankings is watching one scoreboard of three. Engine detail: ChatGPT, Claude, Perplexity. Forum strategy without astroturf is in Reddit, forums and directories.

Your robots.txt is a go-to-market decision

Somebody on the platform team once added a block for every AI bot to keep the docs out of training data. It probably also took the product out of AI search. The vendors split training from search, and the distinction decides whether you can be cited at all:

• OpenAI: GPTBot is the training crawler. OAI-SearchBot surfaces sites in ChatGPT search, and OpenAI says sites that block it will not appear in ChatGPT search answers. Changes take about 24 hours to register.
• Anthropic: ClaudeBot collects training data. Claude-SearchBot indexes for search and Claude-User fetches pages when someone asks Claude a question; Anthropic says blocking either may reduce visibility.
• Perplexity: PerplexityBot surfaces and links sites in Perplexity results and is not used for model training. Perplexity-User fetches on a user's request and, Perplexity says, generally ignores robots.txt.
• Google: the Google-Extended token governs Gemini training and grounding in the Gemini apps. It does not affect Google Search, AI Overviews or AI Mode.
• Apple: Applebot feeds Siri, Spotlight and Safari search; Applebot-Extended only controls training.

Rendering is the second gate. Vercel's December 2024 analysis found the crawlers from OpenAI, Anthropic and Perplexity did not execute JavaScript. A marketing site built as a single-page app, or a pricing table drawn by a script, can look empty to them. Next.js and other server-rendered setups put the words in the HTML; so does a well-built WordPress or Webflow site. The full token table is in AI crawlers, and the curl test is in JavaScript and AI crawlers.

One gift card, four different verdicts on review requests

Review volume is the SaaS currency, and every platform prints its own. The law sets the floor; the platforms build higher walls on top of it.

• The FTC review rule (16 CFR Part 465, effective October 21, 2024) bans fake and AI-generated reviews, incentives conditioned on positive or negative sentiment, undisclosed reviews by officers, managers, employees or relatives, company-controlled "independent" review sites, review suppression and bought followers. Asking every customer for an honest review is allowed.
• The FTC Endorsement Guides (revised 2023) require clear disclosure of material connections such as payment, free product or employment, say not to ask only the customers you expect to be happy, and require advertisers to train and monitor endorsers, affiliates included.
• G2 requires incentives to be disclosed (incentivized reviews are labeled), caps them at $100, bans incentives conditioned on positive reviews and selective solicitation, and bars reviews by the vendor's employees or direct competitors.
• Capterra says it offers reviewers nominal incentives paid regardless of rating.
• Trustpilot requires inviting all customers the same way at the same point and forbids incentives of any kind, selective invitations, employee or family reviews and pressure.
• Subscription terms. The Eighth Circuit vacated the FTC's 2024 click-to-cancel rule, and the FTC opened a new advance notice of proposed rulemaking on March 11, 2026. The existing Negative Option Rule and ROSCA are still enforced, so plans need clear terms, consent and a workable way to cancel.

Pricing, comparison and security pages that answer before the demo

Engines compare products using whatever facts they can find. If you do not publish yours, they use a reseller's, a review site's or a competitor's. These pages close that gap.

For markup, Google's software app rich result uses SoftwareApplication with a name, an offer price (zero if free) and either an aggregate rating or a review, under its review snippet guidelines. Microsoft recommends JSON-LD schema to help its AI systems interpret content, while Google says its AI features need no special markup. Add Organization markup on the homepage and keep everything identical to the visible text. Content AI can quote covers the writing side.

Measuring a pipeline that starts in a chat window

Since May 13, 2026, GA4 has an AI Assistant channel for visits referred by ChatGPT, Gemini, Copilot and similar tools. It excludes Google's AI Overviews and AI Mode, which stay in Organic Search, and AI apps that send no referrer still land in Direct. Bing Webmaster Tools reports Copilot citations, and Search Console's generative AI report shows AI Overview and AI Mode impressions only. As practice, add "an AI assistant" to the how-did-you-hear field on your demo form; it catches what analytics misses. The setup is in tracking AI traffic in GA4, and the math behind AI share of voice explains how to compare yourself against rivals without fooling yourself.

A software company's first thirty days of AI search work

1. 1

   Build the prompt set

   Twenty to thirty questions across category, comparison, alternatives, integration and security. Run a few through our free AI visibility check, which queries engines through their APIs live and shows who was named; API answers can differ a little from the apps. Prompt tracking covers set design.

2. 2

   Audit robots.txt and rendering

   Allow the search crawlers you want to be cited by, decide on the training crawlers separately, and confirm pricing and docs appear in the raw HTML.

3. 3

   Reconcile every profile

   G2, Capterra, Software Advice, GetApp, Product Hunt and your site should agree on category, pricing and integrations.

4. 4

   Publish the missing facts

   Public pricing, the top three integration pages and a dated security page come first.

5. 5

   Write two fair comparison pages

   Against the rivals the engines named most often in step one.

6. 6

   Launch a compliant review request

   Every customer, same moment in the lifecycle, designed for the strictest platform you use.

7. 7

   Rerun and record the sources

   Ask the same questions on day thirty and log which pages each engine cited.

Managed program, consulting, or an in-house sprint

Our GEO work runs inside a monthly SEO program: defined scope, no long contract, starting at $625 a month. Most local businesses pay $625 to $2,250 (SEO pricing); a software company competing nationally for crowded category questions should expect the free GEO audit to place it by how contested those questions are and how much the site needs. GEO pricing lists what moves the number, and financing exists. We monitor with AICiteBeam, which DataCram built on Next.js, Supabase and the Vercel AI SDK to track whether ChatGPT, Claude, Gemini, Perplexity and AI Overviews name a brand, which sources they cite and how competitor share of voice moves.

A SaaS company that only watches Google rankings is watching one scoreboard of three.

The honest note: many SaaS teams already have a content marketer and a developer, and they can run most of this as an in-house sprint. For them, GEO consulting delivers a plan, a prompt set and a fix list without a retainer, and AI visibility monitoring adds tracking. If the marketing site itself needs a rebuild, our SaaS industry page covers it. Neighbors in this family: fintech shares the compliance questions, e-commerce shares the comparison shopping, and the rest are in our industry guides.