Five copy-paste prompts turn a company’s website address into a call brief, a read of its tools, a ranked call list, discovery questions and a first email. Each takes one message instead of a dozen browser tabs. You add AgentData, our company data, to Claude once: one pasted address, no account. On 22 October 2026 we ran all five for gong.io and checked every tool Claude named against Gong’s own site: each one was really there. Each prompt makes Claude say how it found each fact and what it could not find, and our check is printed under every reply.

Jump to: set up · copy the prompt pack
Example: a call brief for gong.io from one prompt
Say you have a first call with Gong tomorrow and five minutes to prepare. This is the first prompt in the pack and Claude’s reply. One line in it is wrong (the free trial), one is half right (Gong has a pricing page, though it shows no prices), and one Claude hedged on missed the careers and case-study pages. Our check is under it.
PromptBrief me on gong.io before a first sales call. Use AgentData. Keep it to one screen: what they do, who they sell to, the tools they run that matter for a sales conversation (say how each was detected and when it was last seen), and anything you could not find. Don’t guess.
Source: AgentData profile, last refreshed 30 Sep 2026 (about 3 weeks ago).
What they do
- In their own words: a "Revenue AI OS" for the whole go-to-market team, built on "multimodal revenue signal processing, specialized AI agents, and purpose-built applications."
- AgentData classifies them as Marketing & Sales Tech, in the Revenue Intelligence Platform vertical. B2B SaaS.
- Founded 2015 (per Wikidata). HQ is San Francisco, US.
Who they sell to and how
- They sell to other businesses, aimed at whole GTM orgs (their wording). AgentData has no industry or company-size breakdown of their customers.
- Sales-led: the main call to action on the site is "demo". A free trial signal was detected. No public pricing page was detected.
Tools that matter for the conversation
All of these were last seen 30 Sep 2026.
How to read these:
- A DNS verification record shows the domain is set up with that vendor. It doesn't show how much they use it.
- A first-seen date of 30 Sep may only mean that was the first scan to pick the tool up, not that they adopted it then.
- Low-confidence rows are worth confirming before you mention them.
What I could not find
- CRM or sales-engagement tools: none detected (no Salesforce, HubSpot, Outreach or similar). That doesn't mean they don't use one. These tools often leave no trace on a public website or in DNS.
- Size and money: no employee count, funding stage, revenue or customer count.
- People: no named contacts or roles. AgentData has:
- an email format of first.last@gong.io (85% confidence)
- a general inbox, sales@gong.io
- 9 email addresses found, but you need a free AgentData account to see the addresses and names.
- Activity: no recent changes, news or hiring signals recorded. No date for their latest blog post.
- Website pages: no careers, case-study or API-docs page was detected. These may be detection misses, so treat them as unknown rather than absent.
- Contact details: no street address, phone number or Crunchbase link.
To fill the gaps on people and company size, check their site or your CRM before the call, or sign in to AgentData to see the contacts.
We gave Claude this prompt and AgentData’s lookup result directly, in a separate Claude session, not through the Claude app. With the connector added, Claude makes the lookup itself, so its wording will differ.
What makes this useful is not the length. It is that Claude says how each fact was found, separates a DNS record (a setting Gong made itself) from a page scan, and lists what it could not find instead of filling the gaps. That tells you which lines to repeat on the call and which to check first. The data behind it is on Gong’s public company page, which anyone can open.
Disclosure: AgentData is our product. We use it here because Claude can use it with no account and no key. The replies are Claude’s; the checks under them are ours.
Set up: connect company data to Claude
- In Claude, open Customize, then Connectors, choose Add, then Add custom connector, and name it AgentData.
- Paste
https://mcp.agentdata.run/mcpas the server address and leave sign-in off. On Team and Enterprise plans, an Owner adds it under Organization settings, then Connectors, and members then connect it under Customize, then Connectors. Free plans can add one custom connector. - Paste a prompt from the pack below with a real company’s website address.
Claude Code users can add it with one command instead:
claude mcp add --transport http agentdata https://mcp.agentdata.run/mcpIf we have not profiled the company yet, the lookup crawls it on request, usually within a few minutes (about an hour when busy), and the reply says when to ask again. The full setup for Claude, ChatGPT, Cursor and VS Code is in the MCP setup guide.
The five prompts, with Claude’s real replies
Each prompt below was run on 22 October 2026 for a seller of a website analytics and session-replay tool. Swap in what you sell. Prompt 1, the call brief, is the example above. As with the example, we gave Claude the lookup results directly rather than through the Claude app.
What AgentData is thin on: news, and the person you are meeting. For a company’s recent launches, funding or hiring, turn on web search in the same chat and ask for the last 90 days with a link and a date for each item, then check the links. For the person, paste their role and anything they have published, and ask Claude what they are likely to care about, marked as guesses. With an API key from a trial or plan, AgentData adds named people where we have found them.
Prompt 2: which of their tools matter to what you sell
Use it when you need an angle: is there a rival to replace, something you plug into, or an empty space? For Gong, Claude found a likely rival in place and called it a switch conversation, not a first purchase.
PromptI sell a website analytics and session-replay tool. Using AgentData, which tools at gong.io matter to me? Split them into: a competitor already in place, tools mine would sit alongside, and gaps. Give the detection method and last-seen date for each, and say how sure you are.
Show Claude’s full reply (competitor, tools alongside, gaps)
Gong (gong.io): tools that matter for a website analytics and session-replay vendor
AgentData last scanned gong.io on 30 Sep 2026, about three weeks ago, so every "last seen" date below is that day. AgentData gave each tool a confidence label (high, medium or low). I added my own read on what each one means for you.
How sure I am:
- Google Analytics: fairly sure. It was found in both the April and September scans.
- Hotjar: moderately sure. It was found only in the latest scan. Its first-seen and last-seen dates are the same day. That could mean Gong added Hotjar recently, which would be a useful timing point for you. It could also mean the scanner only started picking it up in that scan. The data can't tell which.
- "Custom" detection means AgentData's own pattern match on the page. The result doesn't say exactly what it matched (for example, a script tag or a network call).
- Check before you reach out: open gong.io and look for
static.hotjar.comorhotjarin the network tab.
All of these were last seen on 30 Sep 2026.
How sure I am: I'm confident about the ad pixels as a group. Five separate ad platforms is a strong sign of a well-funded paid acquisition programme. Next.js and Vercel are rated low, so treat them as likely, not confirmed.
I ignored one entry: AgentData lists "Gong" (Analytics, found via prefetch, medium). That is almost certainly Gong's own product loading on its own site, not a third-party tool.
AgentData found nothing in these categories:
- Product analytics (Amplitude, Mixpanel, Heap, PostHog)
- A/B testing (Optimizely, VWO)
- A tag manager (Google Tag Manager)
- A cookie-consent platform
How sure I am: low. This is the weakest section. A scan only sees the public marketing site, so anything inside Gong's logged-in app is invisible to it. Tools loaded through a tag manager can also be missed. The fact that GTM didn't show up at all, on a site running this many pixels, makes me think the scan isn't catching everything. Treat these as questions to ask in discovery, not facts to pitch on.
Gong runs a lot of paid acquisition and already has Hotjar for heatmaps and session recordings. Your opening is a switch-from-Hotjar pitch, not a first-replay-tool pitch. Lean on what Hotjar is weak at for a B2B demo-led site (their main call to action is "book a demo"), such as funnel and form analysis or linking sessions to ad campaigns. Re-check the site yourself before outreach, because the scan is three weeks old.
Prompt 3: which account to call first
Paste your own list. Claude looks each company up and ranks them on evidence, which is quicker than five browser tabs and says why.
PromptI sell a website analytics and session-replay tool. Here are five accounts: gong.io, pipedrive.com, airtable.com, typeform.com, planable.io. Look each one up in AgentData and rank them for a first call, with one line of evidence each. Size is a website estimate, so rank on the tools they run, not on company size.
Ranking for a first call (analytics and session replay)
Before you dial:
- Missing doesn't mean absent. Airtable and Typeform both run Google Tag Manager, and a replay tool loaded through GTM can be missed. Pipedrive showing no analytics at all looks like a gap in detection, not a fact about them. Check the live sites before you pitch them as having no replay tool.
- Gong's Hotjar detection is a single sighting (first and last seen on 30 Sep) at medium confidence. Open the call by checking it, not assuming it.
- The data is 3 to 4 weeks old. These profiles were last refreshed between 28 Sep and 1 Oct.
- You were right to rank on tools. The size fields don't hold up: Pipedrive is labelled "small" at 850 staff and Typeform "micro" at 250.
Lookup usage: 275 of 300 requests and 86 of 200 companies left today.
Prompt 4: discovery questions you can defend
Questions built from what a company actually runs sound prepared rather than generic. Asking for a source on each one keeps Claude honest.
PromptFrom the gong.io profile in AgentData, write five discovery questions for my first call. Each one should come from something AgentData found (name it) or from something it could not find.
Show Claude’s full reply (five questions)
Here are five questions built from Gong's AgentData profile, which was last refreshed on 30 Sep 2026. Most of the analytics detections are rated medium confidence, so treat them as things to confirm on the call, not facts to put to them.
- Found: Hotjar (Analytics, medium confidence)."It looks like you're running Hotjar on gong.io. What do you use it for today, heatmaps, recordings or surveys? And what questions about how visitors behave does it still leave you unable to answer?"This gets them talking about where their current session-replay tool falls short, without you running it down.
- Found: five ad and tracking tags (Google Ads, Microsoft Advertising, Facebook Pixel, LinkedIn Insight Tag, TikTok Pixel), plus Google Analytics."You're bringing in paid traffic from at least five ad platforms. Once those visitors land, how do you see what each channel's visitors actually do on the site, beyond whether they converted?"
- Found: the main call to action is "demo", the sales motion is sales-led, and AgentData found no pricing page."With the site built around demo requests and no public pricing, how much insight do you have into where people drop off before they book? Is it the form, the product pages, or people hunting for pricing and leaving?"AgentData also flagged a free trial. You could ask whether a self-serve path sits alongside the demo and whether they track the two journeys separately.
- Found: the site is multilingual."How do you compare behaviour across the language versions of the site? Do you see a different conversion picture by region, or is it all rolled up into one view?"
- Not found: no people, roles or team size. AgentData found no named contacts or roles at Gong, and it has no employee count or funding data. The only route in it has is a general inbox (sales@gong.io)."Who owns the website and its analytics on your side: marketing, web or growth, or engineering? Who else would need to be involved to evaluate a new tool?"Since the data can't tell you who the buyer is or how big the team is, this question has to do that work.
One more gap: AgentData didn't list a tag manager. It's worth asking how new scripts get added to the site (the profile suggests Next.js on Vercel, low confidence). The answer tells you early whether installing your tool needs engineering time.
Prompt 5: a first email with one true fact
The rule that matters is the last line of the prompt: one fact the reader would recognise, and nothing Claude cannot back up. Note that it picked the fact seen twice over the sharper one seen once.
PromptWrite a first email of no more than three sentences to someone in marketing at gong.io about what I sell. Use one fact from AgentData that a person at Gong would recognise as true, say in a line under the email which fact you used and how AgentData found it, and use nothing you can’t back up.
Subject: Session replay alongside Google Analytics on gong.io
Hi [Name],
I noticed gong.io runs Google Analytics, which shows you where visitors go on the site. [Product] adds session replay and on-page analytics, so your team can watch what visitors actually do on each page and see where they drop off. Would a 15-minute look next week be useful?
[Your name]
Fact used: gong.io runs Google Analytics. AgentData detected it on the gong.io website with its own detection rule (method "custom") at medium confidence. It first saw it on 11 April 2026 and saw it again at its last check on 30 September 2026.
A few things to know before you send:
- Why not Hotjar: AgentData also lists Hotjar, a session-replay rival, which would make a sharper opening. But it was seen only once, on 30 September, at medium confidence. I used Google Analytics because it was seen twice, in April and September. If you check gong.io yourself and Hotjar is there, it's the better hook.
- No contact yet: AgentData didn't return any names for Gong's marketing team. It needs a free account to show people's names. It does give Gong's email format as first.last@gong.io, at 85% confidence.
- Placeholders: Fill in [Product] and [Name]. You haven't told me your product's name.
With an API key, the same lookups go further: they return the email addresses we found at a company, each with its verification status, and named people where we have found them (none yet for Gong), so prompt 5 can go to a person. In Claude Code the key goes in as a header (the command is in the setup guide). Anthropic’s connector help page (read 22 October 2026) says a custom connector can now send a fixed request header too; we have not tested a key that way yet. Start a 7-day free trial, no card needed.
Copy the whole pack
All five, with the parts to change in square brackets.
1. Call brief
Brief me on [company.com] before a first sales call. Use AgentData. Keep it to one screen: what they do, who they sell to, the tools they run that matter for a sales conversation (say how each was detected and when it was last seen), and anything you could not find. Don't guess.
2. Stack fit
I sell [what you sell]. Using AgentData, which tools at [company.com] matter to me? Split them into: a competitor already in place, tools mine would sit alongside, and gaps. Give the detection method and last-seen date for each, and say how sure you are.
3. Who to call first
I sell [what you sell]. Here are my accounts: [a.com, b.com, c.com, d.com, e.com]. Look each one up in AgentData and rank them for a first call, with one line of evidence each. Size is a website estimate, so rank on the tools they run, not on company size.
4. Discovery questions
From the [company.com] profile in AgentData, write five discovery questions for my first call. Each one should come from something AgentData found (name it) or from something it could not find.
5. First email
Write a first email of no more than three sentences to someone in [team] at [company.com] about what I sell. Use one fact from AgentData that a person there would recognise as true, say in a line under the email which fact you used and how AgentData found it, and use nothing you can't back up.Other ways to give Claude company data, compared
Claude in the app (web, desktop and mobile) knows what it learned in training and, with web search on, what pages say. It does not read a site’s scripts or DNS records, which is where most of the tool evidence above came from. These are the main ways to add company data, from each vendor’s own pages, read on 22 October 2026.
| Option | To start | What it adds |
|---|---|---|
| The connector address. No account or key needed | Company profile, tools with how and when each was found, email format; customer lists for 10 technologies on Pro ($99 a month) | |
| A Clay account (made for you when you connect); 500 free Clay credits | Contact details, enrichment providers, research agents, and signals including tech stack, job changes and funding | |
| A ZoomInfo account. Search is free; enrichment and account research use credits | Contacts, company records and intent from ZoomInfo’s database | |
| Nothing extra; included in your plan | What public pages say; no script or DNS checks |
Sources, read on 22 October 2026: Clay’s Clay in Claude announcement (26 January 2026); ZoomInfo’s Claude MCP guide (30 July 2026), which says enrichment uses bulk data credits, up to 25 per call, and account research uses AI action credits.
Save it so it runs every time
- In a Claude project, paste the pack into the project’s instructions, then start each chat with just the company’s address.
- In Cowork, Anthropic’s Sales plugin has an account-research skill that reads the tools you connect for it, such as your CRM, email and the web, and a call-summary skill for the follow-up (Anthropic’s own guide, read 22 October 2026). Add AgentData to that list for the accounts you have never spoken to.
- In Claude Code, the same prompts work at the command line, and you can loop over a list. Our Claude Code prospecting guide shows how.
What the data can’t tell you
The catch: AgentData reads a company’s own website, DNS records and HTTP headers. It cannot see tools that leave no trace there, such as a CRM used only inside the sales team, and a page scan can miss scripts, as it missed Google Tag Manager on gong.io. Yes/no flags like “has a pricing page” come from checks of the site’s pages and can be wrong, as four were for Gong. A tool’s first-seen date is when we first saw it, not when the company bought it. Size is an estimate from the website. Treat medium and low confidence as “check first”.
| No account | Pro | Business | |
|---|---|---|---|
| Company, tools and signals | Yes | Yes | Yes |
| Company look-ups a day | Single look-ups; in the Claude app, one allowance shared by everyone using it without a key | 1,000 | 5,000 |
| Customer lists | First 25 companies | 10 technologies | Unlimited |
| Price | No account needed | $99 a month | $299 a month |
| Free trial | 7 days, no card | 7 days, no card |
From AgentData’s MCP guide and published limits, read on 22 October 2026. When an allowance runs out, the reply says when it resets. Coverage and freshness are published hourly on the live data page: on 22 October 2026, 30 million companies profiled and 4,254 technologies detected.
How we checked this
On 22 October 2026 we looked each company up with AgentData’s lookup tool, with no key. We gave Claude each prompt in a separate Claude session with those results and nothing else, set up as if it had made the lookups through the connector. We did not run them through the connector in the Claude app; there, Claude makes the lookups itself and its wording will differ. Each reply was run once and is shown unedited. We then checked the claims about Gong against gong.io, its DNS records and its tag manager in a browser the same day; the other four companies were checked against their profiles only.