FAQ
Questions about GetIntel
What it is, what it costs, how it works, and how it compares. If your question is not here, reply to any email from us and it reaches a person.
The basics
What GetIntel is
GetIntel is an AI search visibility platform for SaaS founders, marketing teams and agencies. It asks ChatGPT, Perplexity, Gemini and Google AI Overviews your buyers’ questions every day (Claude weekly on Growth), scores each buyer topic, and turns the gaps into a ranked task list, with the pitch, reply or page copy written for you where it can.
ChatGPT, Perplexity, Gemini and Google AI Overviews on every paid plan, with Claude added on the $149 Growth plan. Each engine is scored separately rather than blended into one number, because engines cite very different sources from one another — in our own 100-question run across three Google surfaces, 1,011 of 1,364 cited domains appeared on exactly one surface.
SEO competes for a position in a list of links. AI visibility competes to be the source an engine reaches for when it composes an answer. The technical groundwork overlaps — crawlable, well-structured content helps both — but the measurement differs: rank and clicks for SEO, citation and mention share for AI visibility. A page can rank first and never be cited.
Teams where the same one or two people have to spot the problem and fix it: SaaS founders, lean marketing teams, and boutique agencies running several client brands. It is less useful if you already employ writers and developers with the capacity to act on a monitoring report — in that case a measurement-only tool may be the better buy.
Pricing
What it costs
Monitor is $29/month for one brand and 25 tracked buyer questions, and it is monitoring only. Pro is $79/month for one brand and 60 questions, and it adds the ranked task list, brand perception, Reddit signals and your AI crawler and visitor traffic. Growth is $149/month for 120 questions and Claude as a fifth engine, refreshed weekly. In India the same plans are ₹2,700, ₹7,500 and ₹14,000. Every plan starts with a 7-day free trial, which asks for a card and charges on day 8.
Yes: 7 days free, with a card. The trial is the full Pro experience on 25 buyer questions probed daily across ChatGPT, Perplexity, Gemini and Google AI Overviews, so you see your own topics scored, the rivals AI names instead of you, and the tasks that follow. You are charged on day 8 on the plan you picked, and you can cancel before then from the Plans page.
No. Plans are monthly, there are no setup fees, and you can cancel from inside the app. Annual billing is available if you prefer it.
25 on Monitor, 60 on Pro, and 120 on Growth. Prompt counts are account-wide, not per brand. The trial covers 25. Question count is the number worth comparing between tools, because it decides how much of your category you can actually watch — 15 questions covers one product’s core buying moments, not a category.
How it works
How it works
Daily, on every paid plan. The same fixed set of buyer questions goes to each engine each day. Keeping the set fixed is deliberate: rewriting a question changes the answer, so a changing set would make your own history incomparable.
No. Every fix is a draft you approve. It ships through the coding agent you already use — Claude Code or Cursor — as a reviewable diff, or to a connected CMS such as WordPress or Ghost. Nothing is published without your sign-off.
The artifact that closes the gap it found: llms.txt entries and Schema.org markup for technical gaps, Wikidata and directory entries when an engine does not recognise your brand, counter-article briefs when a competitor is cited instead of you, and outreach emails when the citation sits on someone else’s domain.
There is no confirmed evidence that it does. SE Ranking studied roughly 300,000 domains and found no measurable citation effect, and Google has said it does not use the file. We generate llms.txt inside the product and still would not claim it moves citations on its own — treat it as one small unproven signal, not a fix.
Comparisons
How it compares
Profound reaches more engines at its Enterprise tier — up to nine — and is the more established procurement choice. Its self-serve tiers are narrower: $99/month tracks ChatGPT alone with 50 questions, and $399/month covers three engines. GetIntel tracks four engines from $29 and drafts the fix rather than stopping at the report.
Ahrefs is a full SEO suite with AI visibility layered on, and its prompt corpus is far larger than any dedicated tool’s. It is also priced accordingly: plans start at $129/month and each AI platform index is $199/month on top, or $699/month for all of them. GetIntel includes its engines from $29 and adds the drafted-fix workflow, but does not attempt backlink or keyword research.
No, and most teams should not. GetIntel measures a different thing — whether AI engines cite you — and sits alongside rank tracking and keyword research rather than replacing them. The common setup is keeping an existing SEO suite and adding AI visibility separately.
Finding the gap
Finding where AI skips you
Start from the questions a buyer actually types, not your brand name, because almost nobody searches your brand before they know it exists. Pick the ten to twenty phrasings that decide a purchase in your category, run the same set on a schedule, and record two things per answer: which brands were named, and which URLs the answer cited. The questions returning zero mentions of you are the list worth working. GetIntel tracks 25 questions on Monitor, 60 on Pro and 120 on Growth, scores each one separately, and flags the ones where you are absent while a competitor is named.
You need a fixed question set re-run on a schedule, because a mention that appears once is not a change, it is variance. We measured a 99.7% source-change rate between consecutive runs of the same prompt, so a single before-and-after tells you very little. GetIntel re-runs your tracked questions daily and raises a signal when a question flips between naming you and not naming you, which is the event worth alerting on rather than a score moving a point.
Usually not your site and not your competitors. Across 9,007 AI answers we probed in our own category, 87% of citations pointed at third-party sources, 12% at competitors and 1% at our own domain. Reddit appeared in 1,772 of those answers and YouTube in 1,694. The practical read is that the highest-leverage fix is often getting into a specific thread or review page rather than editing a page you own. GetIntel lists the exact cited URLs per question, so you can see the individual Reddit thread or G2 page behind an answer instead of a domain-level summary.
Ask in the product itself, logged out, so there is no history bias, and read the sources underneath the answer rather than the wording. This matters because the API and the interface can return different source sets for the same question, which means a tool scoring you from API responses may be measuring a surface your buyers never see. GetIntel captures what the interfaces show. If you want to check any tool, including ours, take one prompt it reports on and run it by hand the same day: the wording will differ, but the cited sources should mostly match.
Different things from ChatGPT, which is the point. Engines cite very different sources from one another, so a blended score hides which surface actually moved. In our own 100-question run across three Google surfaces, 1,011 of 1,364 cited domains appeared on exactly one surface. GetIntel scores Gemini and Google AI Overviews separately on every paid plan, with the per-question answer and its citations kept, so you can see where each engine disagrees rather than averaging the disagreement away.
Diagnose before you write anything. Absence usually traces to one of three causes, and they need different fixes: the engine cannot resolve who you are as an entity, the sources it trusts do not mention you, or your page does not answer the question cleanly enough to quote. Guessing which one you have is how months get spent on the wrong layer. The free check runs 60 checks across three engines with no signup and tells you which questions you are missing from and who is named instead.
Shipping the fix
Acting on what you find
Rank by three things rather than by gap size. How often the question is asked, how many competitors already hold the answer (one is takeable, five is crowded), and which source is feeding it. That third input decides the kind of work: if the citation comes from a Reddit thread or a third-party listicle, editing your own page will not move it, and the task is outreach. If the answer cites a competitor's own site, a better page can win it. GetIntel ranks tasks on this basis rather than listing every gap it finds.
That is the difference worth shopping for, because most of the category stops at the diagnosis. GetIntel drafts the artifact per gap: a generated llms.txt, JSON-LD schema blocks written against what the page already says, a counter-article brief naming the question and the competitor URL that won it, or an outreach email for the off-page gaps. Each arrives as a file or a diff your engineer can act on, rather than a recommendation they still have to turn into work.
Yes, that is what the MCP connection is for. Your coding agent reads the task and applies it in the repo you already have open, or the change lands as a pull request for normal review. Nothing publishes itself and you approve every change before it ships. Separately, the REST API reads your visibility data into whatever you already run, but that one is for reporting and automation rather than for shipping a fix.
Trend, not snapshot, and with the engine breakdown intact. A single score that moves without telling you which engine and which question moved is not reportable. GetIntel re-scores daily against a fixed question set, so the comparison is like for like, and exposes it three ways for reporting: in the dashboard, through a Looker Studio connector for a live chart, and through the REST API if you would rather build your own view.
About twenty minutes a week once it is set up, and setup is a few minutes. The daily probing across engines runs in the background. Your part is reading the score, checking which questions changed, and approving or skipping the drafted fixes. The honest limit: approving a fix is not the same as the fix working, and citations move over weeks rather than days, so this is a weekly habit rather than something that pays off the first time you open it.
For agencies
Running this for clients
Yes. Each client brand gets its own tracked questions, score, competitor set and cited sources, run from one workspace rather than a separate login per account. Reporting comes out as a per-client view, a Looker Studio dashboard, or through the API. Plan limits are account-wide rather than per brand: Monitor covers one brand, Pro two, and Growth is the tier that makes sense once you are running a real book.
The gap on their own category, not a generic deck. Run their buyer questions before the call and show which competitors AI names instead of them, on which questions, and which sources fed those answers. That is a specific, checkable claim about their business rather than an argument about a trend, and it is more persuasive than any market statistic. The free check produces this without them signing up for anything.
More detail: how it works end to end, full pricing, competitor comparisons, the glossary for the terminology, or the full docs FAQ.
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