Guide

AI ranking tool checklist: 12 questions to ask before you buy

Jan NovakGEO Expert, FullReach AI · Updated
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TL;DR

What features should I look for in an AI ranking tool? Twelve, in four groups. The data: platforms, prompts, markets and cadence. The evidence: citations, perception and history. The output: an API and a report. The deal: price unit, trial and support. The platforms differ. In the 28 days to 30 October 2026, Copilot named a brand our project monitors in 67% of its answers, and Gemini in 50%.

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A marketing manager with two tools on a shortlist needs the same answers from both. This guide asks twelve questions and states the answer that matters for each. It shows how our own project answers them, with the numbers of its last 28 days. For the definition of the term, and how it differs from a model leaderboard, read what an AI ranking tool is. For the tools side by side, read the roundup.

What features should I look for in an AI ranking tool?

Look for twelve features in four groups. The groups are the data the tool collects, the evidence it keeps, the output it gives you and the terms of the deal. The table is the checklist. Print it, and write each tool's answer beside the question.

#QuestionThe answer that matters
1Which AI platforms does the plan include?Every platform your buyers use, in the price, not as add-ons.
2How many prompts does the plan allow?Enough for a steady number, in each language.
3Can a prompt run in a second country, and what does it cost?A second market at the same unit price, with no cap on markets.
4How often does the tool ask, and in what kind of session?Once a day per platform and market, in a fresh session.
5Does it store the cited pages, and say what to do about them?Every cited URL with its domain, and a worklist built from them.
6Does it read what the answers say about the brand?Attributes and objections with their quotes, and a check that each answer describes your company.
7How long does it keep the answers?For as long as the account exists, on every plan.
8Can software read the data?An MCP server or an API, on the plan you buy.
9What does the report look like?A monthly report per brand with your own logo, and CSV or Data Studio for your own charts.
10What is the price unit?Per prompt, per brand or per seat, stated before the add-ons.
11What does the trial include?The full product, long enough for one full analysis, with no card.
12Who answers when a number looks wrong?A named contact with a stated reply time, on every plan.

The AI platforms ask the same question before they answer. In the 28 days to 30 October 2026, Grok ran 10 web searches for "features to consider when evaluating AI ranking tools for brand visibility". It ran them before it answered our prompts. It searched for "trade-offs between different AI ranking tools" 9 times, and for "what is an AI ranking tool" 8 times. The search counts come from the searches our project stores with each answer.

The Actions list of our project holds an open Action that asks for a page on the evaluation question. In the 28 days to 30 October 2026, 49 losing answers stood behind it. A losing answer names a monitored rival and not FullReach AI. This guide is that page. Our guide on what an AI ranking tool is holds the answer counts of the six prompts on the topic.

Which questions cover the data: platforms, prompts, markets and cadence?

Questions 1 to 4 decide what the tool collects.

1. Platforms. The same question gets a different answer on each platform, so a missing platform is a missing share of your buyers. FullReach AI asks 7 platforms on every plan: ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, Google AI Overviews and Grok. Our project counts the answers of each platform. In the 28 days to 30 October 2026, Copilot named one of the six monitored brands in 67% of its 1,119 answers. Gemini did so in 50% of its 1,307 answers. A plan that sells one of the two as an add-on prices that difference.

2. Prompts. A prompt is one question in one language, asked on a schedule. The self-serve plans of FullReach AI allow 50, 150 and 350 prompts, and the Advanced plan grows to 2,000. A prompt counts once for each market it runs in. Our guide on how many prompts to track states the count a steady number needs.

3. Markets. A market is the country the tool asks a prompt from, or Worldwide. No FullReach AI plan caps markets. Our guide on AI visibility across markets puts the markets of one brand on one scorecard, with the answer counts of our own markets.

4. Cadence. FullReach AI asks each prompt once a day on every platform, in each market, in a fresh session with no history. A number from one day misleads, because the answers move. Our project stores a daily series for each brand. In the 28 days to 30 October 2026, the most visible rival ranged from 37% to 47% a day. Its visibility over the whole 28 days was 41%.

Which questions cover the evidence: citations, perception and retention?

Questions 5 to 7 decide whether you can trust a number and explain a change.

5. Citations. A citation is a page an answer links to. The tool must store every one, with its domain and the answer it came from. Our guide on AI visibility metrics holds the citation counts of our own domain. The tool must also turn the cited pages into a worklist. In the 28 days to 30 October 2026, the Actions list of our project held 495 Actions. They covered 3,881 of the 4,395 losing answers in that window.

6. Perception. Perception is what the answers say about a brand when a platform gets a question about that brand alone. Ask whether the tool checks that each answer describes your company, because a similar name pollutes the quotes. Our guide on AI visibility metrics counts how many of our own perception answers described another company. On FullReach AI, perception and objections come from the Pro plan. Our guide on AI brand perception holds the themes and the scoring.

7. Retention. The tool must keep every answer for as long as you are a customer, because a trend is a comparison with the past. FullReach AI stores every answer for as long as the account exists, and no plan limits that history. A plan that keeps 90 days cannot compare this quarter with the same quarter last year.

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Which questions cover the output: API and report?

Questions 8 and 9 decide who else can use the numbers: your software, your manager and your client.

8. API. FullReach AI has an MCP server on every plan, and no REST API. The MCP server lets an AI assistant read the numbers of your project and the answers behind them. Our guide on AI visibility by API and MCP states what Claude, ChatGPT and Looker Studio can read.

9. Report. Every plan has a monthly report per project that prints to PDF, with your own name and logo. Dashboard tables export to CSV from the Pro plan. The Data Studio connector comes from the Advanced plan. Our guide on reporting AI visibility to clients holds the template of the report itself.

Which questions cover the deal: price unit, trial and support?

Questions 10 to 12 set the bill and the help you get after you pay.

10. Price unit. Our guide on how AI visibility tools price holds the price unit of every tool we compare. FullReach AI prices by prompt and charges nothing for a seat. FullReach AI costs 65€, 165€ and 360€ a month, billed yearly, for 50, 150 and 350 prompts, with every platform included.

11. Trial. A trial must run the full product long enough for one full analysis, so the first number you see is a real one. Every FullReach AI plan starts with a trial: 7 days free, no credit card required. The first analysis runs during the trial, on your own prompts.

12. Support. Every plan comes with an assigned contact in the dashboard, who replies within one business day. You can also book a call.

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What to do next

  1. Print the checklist. Write the answers of each shortlisted tool in one column per tool.
  2. Start a trial on the tool with the fewest blank cells. Read the answers behind its first number.
  3. Compare the twelve answers after the first full analysis, not after the demo.

For how FullReach AI collects the answers it counts, read the methodology.

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