What are the best GEO tools for SaaS?

This is a review of official product and pricing pages checked on October 21, 2026. It is not a hands-on benchmark, a ranking based on our customer results, or a claim that one vendor produces more accurate answers. Features, access, and prices can change, so confirm the final configuration with the vendor before purchasing.

Start with the decisions your team needs to make. A founder checking ten buying questions has different needs from a team reporting across several markets. Prompt coverage, product surface, evidence export, and review time usually matter more than a large undifferentiated score.

These prices do not normalize every model, prompt, seat, country, or export allowance. Read the Profound, Peec AI, Otterly.AI, and Semrush pages for the exact current plan.

Profound’s current official pricing page presents a limited trial and a custom Enterprise package. It describes Answer Engine Insights, Agent Analytics, and AI Marketer capabilities. The trial’s stated engine set is not evidence that every paid configuration includes every possible platform.

Our assessment: include it in an evaluation when several teams need to turn answer analysis into a shared marketing workflow. Ask for the engines, countries, historical access, raw-answer exports, and security requirements in your proposed package. Do not copy older published Starter prices into a current budget without a matching current offer.

Peec AI’s official pricing page describes plans organized around prompts, selected models, projects, and collection frequency. It lists daily tracking for its main brand plans and a larger customizable Enterprise option. The readable page reviewed for this article did not establish a stable numeric price, so this comparison directs you to the website.

Our assessment: consider it when your primary need is a focused brand analytics workflow. Reproduce your intended prompt-by-model allocation before comparing cost. Ask how changing markets or model selection affects collection and whether the export contains the full answer and source URLs behind each metric.

Otterly.AI’s monthly pricing page lists a Lite plan with 15 search prompts, daily tracking, and citation source tracking. It shows ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot in the included engine set, with other engines offered as add-ons. Higher plans add capacity and capabilities.

Our assessment: it is a candidate for a small team seeking recurring collection with a clearly published starting price. Check the exact add-ons you need, the meaning of a prompt allowance, the retention period, and whether the plan you choose includes the required exports or API access. A low entry price is not a complete configuration price.

Semrush describes AI analysis, brand performance, and prompt tracking as related capabilities. Its official data explanation distinguishes the datasets and specifically describes Prompt Tracking coverage. Do not assume the list of platforms mentioned for a broad analysis report is identical to the list supported in a custom prompt campaign.

Our assessment: it merits evaluation when your team already works in Semrush and needs AI reporting alongside existing SEO processes. Confirm the target platform and location for each collection method. Compare the AI-only package with any bundle using the actual domain and prompt limits your team needs.

The llms.txt Generator reads a public homepage and available sitemap links, then produces an editable download. It makes no model call, does not monitor answer engines, and does not promise a ranking gain. Google Search explicitly says it ignores llms.txt; see our official evidence review.

The AI Visibility Check page explains the intended Perplexity API snapshot and a manual checking method. Live checks and paid reports are currently unavailable. This site does not offer subscription monitoring, and a Perplexity response would not count as a measured ChatGPT answer.

1. Freeze ten representative buyer questions and a brand alias list.
2. Ask every candidate to explain its collection surface and conditions.
3. Review raw answers, citations, ambiguous matches, and failed collections.
4. Calculate total cost for your prompts, models, markets, users, and exports.
5. Choose the option that supports a decision your team will actually make.

Keep a manual baseline during the evaluation. If a tool’s number changes, inspect the answer evidence before interpreting it as a business outcome. Visits and conversions still need their own measurement.