TL;DR
- A conversational query optimisation tool shows how AI assistants answer your buyers' questions, and helps you get mentioned and cited more often.
- Do not buy one that hides the raw answers and the URLs each engine cited. A score you cannot audit is a mood, not a measurement.
- Compare tools on the eight criteria in the table below, and ask vendors to show live answers rather than slides.
- Run a fixed 30-day trial with a baseline, a few page changes and a measured result before you sign.
Introduction
In November 2026 we pulled the AI Performance report for our own site, pingaura.ai, from Bing Webmaster Tools. The single biggest opportunity query on it was "evaluate conversational query optimization tools". Bing showed it being cited in roughly 5,000 to 10,000 AI answers.
We did not have a page that answered it.
This post is that page. We build software in this category, so read it with that in mind; we have tried to write the guide we would want as buyers. For the background, see our explainer on what AI visibility is.
A conversational query is a full question put to an assistant, such as "which accounting software suits a small agency?", rather than a keyword. Tools in this space run questions like that across AI engines, store the answers, and try to explain why you are or are not in them. Some are far better at that last part than others.
Our position: raw answers or nothing
Before any feature list, one test. Ask the vendor to open a prompt you care about and show you each engine's full answer and every URL it cited.
If they cannot, stop there.
Scores and trend lines are fine as summaries. But AI answers change between runs, engines and sometimes cities, and a number built on that variation hides every choice the vendor made: which runs they kept, how they counted a passing mention, whether a competitor in a footnote scored the same as one recommended outright. Without the answers underneath, you cannot check any of it. A score you cannot audit is a mood, not a measurement.
Citations matter just as much. The URLs an assistant leans on tell you exactly what the engines trust, and so what you need to match or beat. A citation count with no sources throws away the part you can act on.
The evaluation criteria table
Score every tool you look at against the same eight criteria, and ask for evidence on each rather than a yes.
| Criterion | What good looks like | Weak answer to watch for |
|---|---|---|
| Engine coverage | ChatGPT, Gemini, Perplexity, Google AI Overviews, Copilot and others, with clear notes on how each is queried | "We cover the main ones" with no list |
| Prompt tracking | Custom prompt sets, grouped by topic, buyer stage and region, rerun on a schedule | Only vendor-suggested prompts, or one-off checks |
| Citation sources | The exact URLs and domains each engine cites, for you and competitors | Citation counts with no source detail |
| Share of voice | Your mention share versus named competitors, by engine and topic | A single blended number |
| Content recommendations | Specific, page-level actions tied to prompts you are losing | Generic advice such as "add more FAQs" |
| Technical and crawler checks | Site audits covering AI crawler access, structured data, page speed and content readability | No technical layer at all |
| Reporting and integrations | Exports, scheduled reports, and links to analytics, search console and your CMS | Screenshots only |
| Pricing model | Clear limits on prompts, engines, domains and seats, with predictable costs | Opaque credits that run out mid-month |
You will not weight these equally. A brand team will lean on share of voice and tone; a content team on citations and recommendations, because those tell a writer which page to open on Monday morning.
Under prompt tracking, check for sub-questions too. Assistants often split a question into several smaller searches before answering, and our guide to query fan-out explains why that matters.
What good looks like in practice
One case from our own work shaped how we think about this category.
A small, family-run dive centre on India's west coast wanted to show up when people asked AI assistants about diving in its area. Nothing dramatic fixed it. It added an FAQ page answering the questions divers actually ask. It added structured data. And it made its name, address and phone number identical across its website and listings, where the old versions disagreed in small, boring ways.
After those plain fixes, it started appearing first among local dive centres when people asked ChatGPT, Gemini and Google's AI about diving there.
The lesson is about what a tool is for. The hard part was knowing which small fixes mattered. A good tool's job is to show you that list, grounded in the answers and citations it collected, not to sell you a dashboard you glance at once a week.
So in a demo, ask the vendor to take one prompt you are losing and walk you through what they would change, on which page, and why.
Questions to ask vendors, and red flags
Ask these in demos, with live answers on your own domain:
- Which engines do you query, and how: the public interface, an API, or both?
- How often do you rerun each prompt, and how do you handle answers that differ between runs?
- Can we bring our own prompts, competitors and regions?
- Can we see the full answer and every cited URL behind any number?
- How is share of voice calculated?
- Do you check whether AI crawlers can reach our pages?
Some answers should end the conversation. A guaranteed place in ChatGPT is something nobody can sell. One engine sold as "AI visibility" is a partial view at a full price. A one-off audit is a snapshot, not tracking. Recommendations that would read the same for any website mean the tool is not looking at yours. And credits that hide how many prompts you really get tend to run out mid-month, just when you want to measure a change.
For the writing itself, our guide on how to optimise content for AI visibility covers answer-first openings, entities and structure.
How to run a 30-day trial
Every tool looks good in an unstructured trial. Give it a fixed shape instead.
| Week | Goal | What to do |
|---|---|---|
| Week 1 | Baseline | Load 30 to 100 prompts across topics and buyer stages, add three to five competitors, and record mention rate, share of voice and top cited sources per engine |
| Week 2 | Diagnose | Review the prompts you are missing, read the most cited competitor pages and run a technical site audit |
| Week 3 | Act | Change a small set of pages, three to five is plenty, using the tool's recommendations |
| Week 4 | Measure | Compare against the baseline, read the actual answer text and citations, and note how much team time the tool saved |
Four weeks can be too short for engines to pick up a change, so do not judge the tool only on whether the numbers moved. Judge it on whether you now understand why you were missing and what to do next.
FAQs
What is a conversational query optimisation tool?
Software that tracks how AI assistants answer your customers' questions, shows which sources they cite, and helps your brand get mentioned more often.
What should I look for when comparing AI visibility tools?
Raw answers and cited URLs behind every metric, the engines your buyers use, competitor share of voice and page-level recommendations. Then run a 30-day trial.
Which AI assistants should a tool track?
At least ChatGPT, Gemini, Perplexity, Google AI Overviews and Microsoft Copilot. Add others if your audience uses them.
Can any tool guarantee my brand appears in ChatGPT?
No. Nobody controls what an AI model says. A good tool shows where you stand and what to change to improve your chances.
How long does it take to show up in AI answers?
It depends on the engine and topic. Some changes show within weeks, others take longer, so track over time rather than checking once.
Conclusion
Pick the tool that shows its working: the engines your buyers use, every answer and cited URL, named competitors, and specific pages to change. Then prove it on your own site over a structured month.
PingAura is built around that idea. It tracks how the major AI engines answer your buyers' questions, keeps the answers and citations behind every score, and audits your site for the fixes that matter.
Ready to See How AI Assistants Talk About Your Brand?
See which questions you win, which you miss and which sources AI engines trust in your category. Start tracking your AI visibility with PingAura.ai.
