On the four buyer questions GetIntel's own tracking treats as agency-framed, over the trailing 7 days read 29 August 2026, GetIntel was not the dominant named answer on any of the 16 engine-reads across those questions. A competitor was named directly in 13, and 3 came back contested with no clear winner, all on Perplexity.
Disclosure: GetIntel is an AI visibility tool, and this is GetIntel's own data about its own visibility. The honest number here is not flattering; it's published anyway because a report that only shows the numbers a vendor likes isn't a report an agency should trust.
What Do Agency-Framed Buyer Questions Actually Look Like?
Four agency-framed buyer questions, pulled from GetIntel's own set of 60 tracked prompts, specifically frame the asker as running an agency rather than a single brand.
- "My agency clients are asking why competitors show up in AI answers and they don't. What AI search visibility tool should I be using to diagnose and fix this?"
- "I'm an agency owner managing 10 SaaS clients, what's the best AI search visibility tool that can track brand mentions across multiple AI engines at once?"
- "I'm an agency pitching AI visibility services to SaaS clients. What tool gives me the clearest before-and-after data to show clients their brand gap?"
- "Is there an AI search visibility tool that works for agencies managing multiple SaaS brands and can generate per-client reports on AI mention gaps?"
These are the questions an agency evaluating this category would plausibly type into ChatGPT, Perplexity or Gemini directly, not a generic "best AI SEO tool" search.
How Often Is GetIntel Named on These Specific Questions?
Zero of 16 engine-reads across the four questions named GetIntel as the dominant answer, over the trailing 7 days read 29 August 2026.
| Question | ChatGPT | Google AI Overviews | Perplexity | Gemini |
|---|---|---|---|---|
| Diagnose why competitors show up instead | Absent | Absent | Open | Absent |
| Managing 10 SaaS clients | Absent | Absent | Absent | Absent |
| Pitching AI visibility services | Absent | Absent | Open | Absent |
| Per-client reports on AI mention gaps | Absent | Absent | Open | Absent |
GetIntel's own 7-day tracked-prompt data, read 29 August 2026. "Absent" means the engine's dominant answer over that window named a different tool, not GetIntel. "Open" means the dominant answer didn't commit to naming a specific tool at all.
13 of 16 reads are absent, 3 are open, all three on Perplexity, none mentioned. Whatever this category's overall numbers look like elsewhere, on the specific questions an agency would actually ask, GetIntel currently loses more often than it draws.
What Does "Absent" Actually Mean Here, and Is It Different from "Open"?
Absent and open mean different things here. Absent means a competitor already has the answer to that specific question; open means nobody does yet.
That distinction matters more than the raw zero. ChatGPT and Gemini return absent on all four questions, every single read, no exceptions, which means both engines already have a go-to answer to "what AI visibility tool should an agency use" and it currently is not GetIntel. Perplexity returns open on three of the four, meaning it hasn't settled on an answer for those specific phrasings yet. Google AI Overviews is absent on all four as well.
A category that's uniformly absent is a harder problem than one that's uniformly open. Open means the citations to win are still unclaimed. Absent means winning requires displacing whatever a competitor already holds there, which is the harder of the two problems described in what a low mention rate on one engine versus another actually means.
So What Should an Agency Evaluate Beyond GetIntel's Citation Numbers?
An agency should evaluate more than citation frequency, because GetIntel's data answers "does this tool currently get named," not "does this tool do the job an agency needs." Those are different questions, and the second one is the one that actually determines fit.
Three things worth checking directly rather than trusting a mention-rate number from any vendor, GetIntel included:
- The real per-client price, not the headline tier. GetIntel publishes an agency rate card at $79 per client brand from three, $59 from ten. An agency with a ten-client book needs that per-client number for any tool before assuming a headline price scales to their actual roster.
- Whether client reporting is white-label and scheduled, or just an internal dashboard. What white-label actually means across this category covers which tools state it on their own pricing page and which don't.
- Whether the tool hands back a diagnosis or a fix. A dashboard that shows a client's AI-visibility gap is not the same product as one that drafts the entity page, counter-article or outreach email that closes it. That's the difference between a report an agency has to act on manually and one that shortens the actual billable work.
What This Agency Citation Snapshot Doesn't Prove
The zero-of-16 result above answers a narrow question well and a broader one not at all.
Start with the sample itself: four prompts are the agency-framed subset of GetIntel's own 60-prompt tracked set, not an exhaustive survey of how an agency might phrase this question. Rephrase it, ask about a different category, or track a larger set of agency prompts, and the 13-absent, 3-open split could look different. Separately, citation frequency and product fit are not the same measurement: an engine not naming GetIntel on these four questions today says nothing about whether GetIntel's multi-client dashboard, white-label reports or drafted fixes actually suit an agency's workflow. That question gets answered on its own terms in the section above, not by a mention-rate table.
How Did GetIntel Check This Agency-Question Data?
The four agency-framed questions were identified from GetIntel's own set of 60 tracked buyer prompts by filtering for explicit agency framing ("agency," "agencies," "clients," "client roster"). Per-engine dominant state and rate over the trailing 7 days were read directly from GetIntel's own prompt-tracking data on 29 August 2026, the same data source and window used throughout this site's own reporting.
This is a self-report, and it's an unflattering one, which is itself worth noting: a vendor publishing a mention-rate table where it appears in zero of sixteen reads isn't the outcome a marketing team would choose to lead with. For the broader four-engine version of how citation frequency and direct endorsement can diverge, see brand sentiment in AI answers.