How to Use Promptwatch Agent Chat as Your AI Search Analyst: 10 Prompts Worth Saving (2026)

Key takeaways

• Agent Chat in Promptwatch is a conversational analyst that works over your live visibility, citation, crawler and traffic data. It is only as sharp as your question.
• Pin a date range, ask for a comparison baseline, and ask to see the evidence. Those three habits fix most vague answers.
• The 10 prompts below are grouped by job: diagnosing a drop, watching competitors, planning content and reporting.
• A few prompts need extra setup (crawler logs, visitor analytics, a stored content gap analysis), so connect those first.
• Once a question becomes routine, schedule it and let the answer arrive in Slack.

What Agent Chat actually is

Most AI visibility tools give you dashboards and leave the interpreting to you. Agent Chat is the other approach: you type a question, and it digs through tracked prompts, responses, citations, competitors, crawler logs and traffic to answer it. It can run multi-step analyses and render charts inside the conversation.

The official docs describe it as project-scoped. Read-only research agents handle the digging across visibility, citations, sentiment, crawler data, site health, visitor analytics, content and the Action Board. The main agent can also write: mark an action as done, create a report, add prompts. Those changes happen visibly in the conversation, and unattended scheduled runs get no write tools at all. That is a sensible guardrail.

If you want the reference material, Promptwatch publishes an Agent Chat guide and a page called "Agent Chat: 20 questions worth asking" in its docs. The ten prompts below are my picks from that set, rewritten the way I would actually save them.

Before you ask anything: setup and habits

Connect the data first

Most questions run on data your monitors already collect: tracked prompts and responses, visibility, sentiment, mentions, citations and competitor detection. A few need more:

• Crawler logs, for anything about AI bot activity
• Visitor analytics, for AI-referred traffic and conversions
• A stored content gap analysis, for coverage questions
• Search Console and Bing Webmaster connections (Settings > Project settings), if you want to toggle those sources on

If a tool returns nothing, the agent is instructed to say so rather than invent an answer. Good behavior, but it means an empty answer often signals missing setup, not missing data.

Three habits that change the output

1. Give a date range, and make it a comparison. "Compare the last 7 days against the 7 before" beats "last 7 days" because it forces a baseline. Data is stored in UTC days, so be explicit.
2. Name the cut you care about. "Perplexity visibility on comparison prompts" gets a real answer. "How am I doing" gets a broad summary.
3. Ask for evidence. "Show the responses behind this" turns a claim into something you can check.

One more from the docs: one well-scoped question beats five fragments. The agent breaks your question into research tasks with a fixed tool-call budget, so a focused goal per message gets more depth.

The + menu and credits

Under the "+" menu you can toggle extra tools: Search Console, Bing Webmaster, Web search, News search, Google Trends, DataForSEO and Webscrape. Webscrape is on by default, the other six are off, and Reddit, YouTube and LinkedIn are always on. Tool choices apply to the current chat only.

You also pick a model tier: Standard (default, for everyday tasks), Advanced, or Max. Cost per question rises across those tiers, so save Max for the genuinely hard investigations. A credit meter next to "+" shows what is left and when it resets. When credits run out, chat pauses until the reset. Every paid plan includes between 500 and 6,500 credits a month, and the exact amount depends on the plan, so confirm on promptwatch.com/pricing.

Diagnose a drop

The most common reason to open Agent Chat is that a number moved and nobody knows why. These three prompts take you from "something changed" to "here is who replaced us."

Prompt 1: the weekly movers

Compare my visibility for the last 7 days against the 7 days before. Which models and prompts drove the change? Show me the responses behind the three biggest movers.

This is the one I would save first. It gives you the baseline, splits by model, and forces the agent to show actual responses, not just a delta. A drop that lives on one model usually has a different cause than a drop across all of them.

Prompt 2: the vanished prompts

Find prompts where my brand appeared last month but is missing this month. Inspect two of those responses and tell me who replaced me.

Mentions disappearing is a different problem from mentions shrinking. This prompt finds the first kind and names the replacement, which is the thing you actually need for a response plan.

Prompt 3: the sentiment check

Did sentiment change on any model in the last 14 days? Quote the negative responses and list any repeated criticisms.

Sentiment scores sit around 50 when neutral, so small wobbles are noise. The useful part is the quote. If three responses repeat the same complaint, that is a reputation issue with a source behind it, and you can go find that source.

Competitor watch

Prompt 4: who is gaining, and why

Which competitor gained the most mentions in the last 7 days, and on which prompts? For each, tell me whether they outrank me or I am simply absent.

The last sentence matters. "They outrank me" is a prominence problem. "I am absent" is a coverage problem. They get different fixes.

Prompt 5: the listicle gap

Find listicles and comparison pages cited in my tracked prompts that include my competitors but not me. Rank them by how many prompts they influence.

This turns citation data into an outreach list. A page that shows up across twenty prompts and leaves you out is worth a lot more effort than a one-off mention. If you want to pair this with tools for the outreach side, the GEO software directory lists options.

Content planning

Prompt 6: coverage quick wins

List my 5 weakest content-coverage prompts with their recommendations, and flag which ones look like quick wins.

This needs a stored content gap analysis. Once you have one, the agent maps your pages against the prompts AI answers and tells you where coverage is thin.

Prompt 7: fan-out clusters

Collect the query fan-outs behind my tracked prompts, cluster them by intent, and show me the clusters my site does not answer.

Fan-outs are the web searches an AI runs behind a single response. Promptwatch Data tracks how this behavior shifts, for example ChatGPT started using the site: operator at scale on August 8, 2026, taking it from about 0.4% to about 17% of fan-out queries. Clustering those searches by intent tells you which sub-questions you are failing to answer.

Prompt 8: what your cited pages share

Which of my pages earn citations, and what do they have in common? Contrast them with pages that get high traffic or heavy crawling but no citations.

This one needs crawler logs and ideally Search Console. It is a surprisingly good diagnostic, because it separates pages AI reads from pages AI actually uses. On content type, Promptwatch's data shows product pages are the most cited type in ChatGPT at 22.4% of citations (Sep 28 to Oct 4, 2026), so check whether your cited pages match that pattern or break it.

Reporting

Prompt 9: the executive briefing

Build a 7-day executive briefing covering visibility, sentiment, self-citation frequency, the strongest competitor and AI-referred visits. Give me one chart, three findings and three actions.

Constraints are the trick. "One chart, three findings, three actions" stops the agent from producing a wall of text nobody reads. The built-in "7-day GEO briefing" skill covers similar ground if you want a ready-made version.

Prompt 10: the monthly Slack summary

Draft a monthly GEO summary for Slack: wins, losses, and the one thing to fix next month, each backed by a number.

"Each backed by a number" is the part that keeps it honest. Slack chats are also the one exception to chat privacy: Agent Chat conversations are private to whoever started them, but Slack chats are visible to all project members, which is exactly what you want for a team report.

All 10 at a glance

Scheduling the prompts you repeat

If you find yourself pasting the same question every Monday, stop. Under Agent in the left rail, next to New chat, there is a Scheduled section. The agent runs the question on your cadence, records each result and notifies you when the answer changed. Delivery to Slack is supported.

Prompts 1, 4, 9 and 10 are the obvious candidates. Remember that scheduled runs are read-only, so anything that needs a write, such as "create these prompts on the US monitor," has to happen in a live chat.

The Agent Skills grid is the other shortcut. Tabs cover Popular, Visibility, Citations, Content and Research, and cards with a timer icon can be scheduled. One gotcha: clicking a card sends it immediately and does not prefill the input. If you want to read the full wording first, send it and read your own message back.

Pitfalls worth knowing

• Undated questions produce broad answers. Always pin a range.
• Max-tier questions burn credits faster. Start on Standard and escalate only when the answer is thin.
• Missing connections cause empty results. Check crawler logs, visitor analytics and Search Console before blaming the agent.
• Archiving a chat cancels any run in progress. Runs otherwise continue server-side if you close the tab, and the chat resumes when you return.
• Charts are capped at two per answer, so ask for the two that matter most.

Where Agent Chat fits among AI visibility tools

Many trackers stop at dashboards. Agent Chat is part of what separates Promptwatch from monitoring-only products such as Otterly.AI or Peec AI, because the same data also feeds the Action Board and the Content Agent. That said, independent reviewers are measured about it. The SE Visible review recommends testing on one real client account, having the agents draft one article, and timing the edit before committing, which is advice I would follow for any tool.

The same review notes plan limits that matter for how much you can ask: brand plans track a subset of engines while agency plans include all, and crawler logs start at the Professional tier. Prices quoted on third-party blogs vary ($89 to $249 for entry tiers), and some of those figures look stale, so check promptwatch.com/pricing directly. Promptwatch lists plans from $95 a month with a 7-day free trial on monthly Essential and Professional.

For a wider comparison of tools in this category, the AI rank tracking directory is a useful starting point.

A first-week routine

1. Day one: connect crawler logs, visitor analytics and Search Console, then run prompt 1 to learn your baseline.
2. Day two: run prompts 2 and 4 and write down the two competitors who keep appearing.
3. Day three: run prompt 6 or 7 and pick one content gap to close.
4. End of week: run prompt 9, then schedule it for Monday mornings.

Save these in a doc, edit the brand and competitor names, and adjust the date ranges as you go. The agent does the digging, but you still decide which finding deserves a week of work.