How can a B2B SaaS track its visibility in ChatGPT? Methods and tools

B2B software buyers now ask ChatGPT things like "best project management tool for a 50-person agency," "alternatives to [competitor]," and "does [tool] integrate with Salesforce." The answer is often a shortlist, and the shortlist shapes who gets a demo request. For a SaaS company, tracking ChatGPT visibility is therefore a pipeline question. This guide covers what to track, how to attribute it and which tools fit.

The prompts a SaaS should track

Software buying has a recognizable pattern, and your prompt set should mirror it.

Category prompts: "best CRM for small teams," "top help desk software."
Use-case prompts: "tool to automate invoice approvals for finance teams."
Comparison prompts: "[Your tool] vs [Competitor]."
Alternatives prompts: "alternatives to [Competitor]," which is where many shortlists begin.
Integration and pricing prompts: "does X integrate with Slack," "X pricing." These are the questions models answer from your pricing and integration pages.
Brand prompts: "is [Your tool] good for enterprise?"

Tag them by topic and persona. A CFO and a developer ask about the same product differently, and answers differ. Thirty to fifty prompts is a sensible start.

What to measure

Visibility and share of voice across the prompt set, against named competitors.
Position in the answer. First recommendation versus fifth.
Sentiment, meaning how the answer describes you.
Cited pages, which tell you which of your pages ChatGPT trusts.
Crawler access: whether OAI-SearchBot and ChatGPT-User reach your pricing, integration and comparison pages.
AI-referred visits and signups. In Google Analytics, visits from chatgpt.com show up as referrals, but this only counts clicks.

Pipeline attribution matters most for SaaS. A demo request that started with a ChatGPT answer is hard to see in standard analytics. Tagging AI-referred sessions with conversions makes it visible.

Tools that fit a SaaS company

1. Promptwatch

Promptwatch fits the SaaS workflow end to end. ChatGPT is tracked through its live search experience with daily prompt panels, with Visibility Score, Share of Voice, Sentiment and Position in Answer. Prompts carry types (organic, brand, competitor comparison) and intent, and persona stacking runs one prompt as several buyer roles. Citation analytics shows which pages ChatGPT cites, and Page Tracker follows specific URLs, such as a competitor's alternatives page.

Agent Analytics logs IP-verified AI crawler visits with a citation rate per page, so you can confirm that your pricing and docs pages are fetched. Visitor analytics attributes AI-referred traffic and conversions through a lightweight script, a GTM template or the WordPress plugin. Search Insights overlays Google Search Console and Bing Webmaster traffic on AI crawls and citations. For fixes, the Action Board lists prioritized tasks and the Content Agent (Business) can plan and publish against gaps, with Webflow, Framer and WordPress publishing.

Explore is free (10 prompts, ChatGPT only). Essential is $95 a month, Professional $245 and Business $579, with agency plans from $199. Crawler logs start on Professional.

2. AthenaHQ

AthenaHQ lists Webflow and Shopify integrations and Google Analytics and Search Console connections. Starter is $295 a month with 3,600 credits (one per AI response) across 11 models. An Action Center assigns tasks. It has no crawler analytics.

3. Scrunch AI

Scrunch AI Core is $250 a month for 125 prompts, 5,000 responses and four LLMs, with site audits and bot traffic reporting.

4. Profound

Profound targets enterprise marketing teams, with a Prompt Volumes dataset and agents. Custom pricing, earlier estimated near $40k a year.

5. SEO suite add-ons

Semrush AI Toolkit and Ahrefs Brand Radar add AI tracking for teams already in those suites. Ahrefs lists an AI Visibility Index from $199 a month. Semrush pricing could not be re-verified.

Simple trackers

Otterly.AI and Peec AI are quick for small teams who want a mention tracker without attribution or crawler data.

Who should pick which

A SaaS that wants tracking, crawlers and pipeline attribution: Promptwatch.
A product-led team that will work an action queue: AthenaHQ.
A large marketing org buying agents: Profound.

A first month plan

Week one: write prompts and install the visitor script. Week two: let tracking run, check crawler logs on pricing and docs pages. Week three: review share of voice against two or three competitors, and read the cited sources. Week four: fix the pages that lose the most prompts, starting with comparison and alternatives pages. No tool can guarantee a recommendation, and answers vary by run, so judge the trend.

Pitfalls specific to software companies

Two mistakes come up often. The first is tracking only brand prompts. A SaaS company can look healthy on "is [brand] good" and still be missing from the category and alternatives prompts, which is where unfamiliar buyers start. The second is ignoring third-party sources. For software questions, models often cite review sites, community threads and comparison pages written by others, so a gap in those places can matter more than an edit to your own homepage. Open the citation report for your lost prompts and list which outside sources appear, then decide where you can legitimately be present and accurate.