10 Things to Look for in a GEO/AEO Tool

1. Questions that reflect how people actually buy

Start with questions from sales calls, customer support or your own research. Include the constraints that matter: a small team, a specific integration, a tight budget. Keep direct questions about your brand separate from questions that ask for options.

Ask the vendor to use a few of your questions in the demo. If it suggests additional prompts or estimates their popularity, ask where those suggestions or estimates come from. A generated question can be useful without being evidence that thousands of buyers ask it.

You want control over the question set, plus a record of what changed when you edit it.

2. A clear account of which AI experiences it measures

A row of logos leaves important questions unanswered. Ask which product or surface each logo represents, how responses are collected, and which country and language settings apply. If a setting is unavailable, the vendor should say so.

For example, Google documents AI Overviews and AI Mode as distinct experiences that can produce different responses and links. A generic “Google” label does not tell you which one was measured. Google’s AI features guide.

The same principle applies to collection method: an API response should not silently be presented as a capture from the consumer product you use at home.

3. Full answers behind the charts

Pick a number and ask to see the records behind it. Read a complete answer, including the qualifications after the product list.

The tool should let you distinguish a mention from a recommendation. “Consider this product if you already use the suite” means something different from an overall first choice. A warning can also contain your brand name.

Our CRM study shows why the full answer matters. In all 28 saved Perplexity responses to one selected question about a B2B sales team with several decision-makers, Capsule and Salesflare were linked as sources while Salesforce, HubSpot and other CRM products were suggested for particular needs. Collection took place October 8–9, 2026 (UTC).

That is 28/28 for this selected question, not a rate for the CRM category. The citations do not establish which page supplied the advice. The study did not test content changes or sales outcomes. In a demo, ask to inspect the answer and its source links together.

Try an awkward example during the demo. Ask how the system treats a conditional recommendation, a namesake or a product mentioned only as an integration. You need a way to inspect or flag the interpretation, even if automated scoring does most of the first pass.

4. Source links you can actually investigate

A domain leaderboard is a starting point. Ask for the exact cited URL and the answer in which it appeared. Can you see the page that was linked, rather than only the publisher’s domain?

Have the vendor explain its labels for cited, mentioned, found or retrieved sources. Those words should map to evidence it collects. A displayed citation does not, by itself, prove that a particular sentence came from that page.

Also check what happens to redirects and duplicate URLs. You should be able to group records for analysis without losing the original link.

5. Honest handling of missing answers

Ask what happens when collection fails, an answer is incomplete, or the requested feature does not appear. Those outcomes need to remain distinguishable from a usable answer that simply does not mention you.

Use an invented example: 100 planned observations, 80 usable answers and 20 failures. If your brand appears in 40 usable answers, that is 50% of the usable answers. Reporting 40% without explaining the failed collections would describe a different denominator.

A useful product makes the coverage visible beside the result. It should not require a support ticket to discover what the percentage counts.

6. Trends that survive changes to the question set

Ask to compare two periods, then find out what happens when someone adds questions or changes an AI surface. Can you recover the comparison using the unchanged set?

Check the dates behind “daily tracking” too. One observation each day and several repeated answers in a collection cycle are different designs. Ask how much history is retained and whether the tool records changes to its collection method.

You want to know whether the brand’s observed visibility moved, whether the panel changed, or whether the evidence is too incomplete to compare. For a fuller example, see our weekly AI visibility report guide.

7. Competitors and products you can define sensibly

A parent company, its product and a similarly named business should not become one entity by accident. Nor should a retailer, a manufacturer and a review site automatically be treated as equivalent competitors.

Bring a real naming problem to the demo: an acronym, an acquired brand or two products from the same company. Ask how aliases and affiliations are handled, and whether you can inspect the supporting answer.

The goal is a comparison that matches your business question. A report on your CRM product should not quietly count every mention of your company’s email software as the same result.

8. Recommendations that lead to a concrete next step

Choose one suggested action and ask what evidence prompted it. “Improve your content” is not enough. Which page needs attention, what is missing, and what would the team change?

Look for a workflow that lets you assign the work and retain the reason for it. If the product can edit your website, ask to see the proposed change before it goes live, along with the approval and undo process.

Treat a recommendation to improve citations as a hypothesis to investigate. Fixing an inaccurate specification is useful in its own right; a later citation increase does not automatically prove which change caused it.

9. A handoff your team can use

Have someone export a small sample or prepare the report you would actually send to colleagues. Can another person find the underlying answer and explain the claim without the presenter helping?

Check access for the people involved. An analyst may need to edit questions; an executive may only need to read the findings. Agencies should test client separation rather than assuming that a folder or a branded PDF provides it.

Ask about retention, exports and access after cancellation. If an API is essential, request its current documentation and a sample response. An export button does not establish API availability.

10. A price for the work you need, including the work you keep

Give each vendor the same brief: brands, questions, named AI surfaces, collection frequency and the reporting you need. Ask it to calculate the cost using its own billing rules.

Include the analyst time needed to inspect answers and prepare a useful report. A cheaper subscription can leave more work with your team; a larger plan can buy capacity nobody uses.

Confirm growth thresholds and exit terms before comparing totals. Our seven GEO pricing checks go deeper into the quote itself.

Make the demo complete one real job

Choose three non-sensitive customer questions. Ask the vendor to show the collected evidence, explain one finding and produce the handoff your team needs. Record what worked and what remained unclear.

That small exercise gives you a more useful buying basis than a long feature list. Apply it to every candidate, including Gist. Buy the workflow your team can repeat.