Your clients are already asking why they do not show up in ChatGPT. AnswerRank gives you the audit that answers them, the work list that fills your retainer, and the tracked chart that renews it.
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Every agency has had the call by now. A client pastes a screenshot of an AI answer recommending their competitor and asks what you are going to do about it. The honest answer at most agencies is that nobody knows, because nothing in the SEO stack measures answers.
That gap is dangerous and lucrative at the same time. Dangerous because a client who discovers their AI invisibility on their own starts wondering what else the agency is not watching. Lucrative because answer engine optimization is a service almost nobody sells yet, with demand rising in every vertical you already serve.
Consider what happens if you wait a year. AEO stops being a differentiator and becomes table stakes, the way mobile once did. The agencies that moved early will hold the case studies, the process, and your prospects. Being second to sell a new service in your own client base is an expensive place to stand.
There is also the quiet churn risk sitting in your book right now: clients whose organic traffic is drifting down because buyers moved to answers. Without answer data, that drift looks like your SEO underperforming. With it, the same drift becomes a renewal conversation about a new line of work.
AnswerRank is built to be run across a book of clients: unlimited brands, analyses priced by the run, shareable public reports, and a tracked score per brand. Audit a prospect in minutes, hand the playbook to your delivery team, and show the chart at the quarterly review.
Every capability above is covered in depth on the features page.
For an agency, AEO's real product is legibility. Classic SEO deliverables have become hard to explain: rankings wobble, algorithm updates blur causality, and clients tune out. An answer is different. You can put the actual paragraph in front of a client, point at the competitor's name inside it, do the work, and later show the same question naming the client instead. Cause and effect a CFO can see in one slide is rare in marketing services, and it changes how renewals feel.
The operational difference is portfolio thinking. One brand's analysis is a report; twenty brands' analyses are pattern recognition. Agencies quickly learn which fixes move which verticals, which local categories are open, and which citations matter across a whole niche, and that institutional knowledge, not the tool, becomes the moat. AnswerRank's per-brand histories are deliberately kept separate so an agency can build exactly that library client by client.
Enter your domain and, optionally, a topic to focus on. AnswerRank builds a realistic question set for your category, asks the live engines, and reads every answer. For a agency brand this takes minutes, and a question like “why does chatgpt not mention my business” is exactly the kind it checks.
Answer share tells you how many answers name you; mindshare tells you who they name instead and on which questions. Read the actual answers behind the numbers. This is usually the moment the problem stops being abstract.
Content gaps rank the unanswered and weakly held questions by demand and difficulty. Choose the handful your team can genuinely answer better than anyone, and use the one-click drafts to start.
The fix list orders concrete actions by impact: page fixes, citation outreach, community answers. Checkboxes persist, so the playbook doubles as your team's tracker between analyses.
Run it again after each push. The tracking chart plots answer share across every run, which tells you what worked, and gives you the one chart that justifies continuing the work.
Answer engine optimization (AEO) is the work of getting your brand named when an AI assistant answers a buying question. Generative engine optimization (GEO) is the broader craft of making your content quotable and citable by generative engines. In practice they overlap almost completely: both come down to being present, credible, and readable in the places engines draw answers from. When someone asks “best marketing agency for dental clinics”, AEO decides whether the reply includes you.
Neither replaces SEO. Search still matters, and much of the underlying work, clear pages, real proof, consistent facts, serves both. The difference is measurement: SEO measures positions in a list of links, while AEO measures presence inside the one answer most buyers now read. AnswerRank exists because that second number did not have a scoreboard.
These are the patterns that keep working across the agency analyses we see. AnswerRank tells you which of them apply to your brand and in what order; here is the full list so you can judge the work for yourself.
Run your ten best clients before you pitch anyone new. Some will already have an AI visibility problem worth a project; presenting it proactively positions the agency as ahead of the curve rather than reacting to a client screenshot.
The single most effective AEO pitch is showing a prospect the actual answer recommending their competitor, next to their own absence. It lands harder than any deck because it is their buyer's real experience today.
A fixed-price AI visibility audit, one analysis plus a walkthrough call, is an easy yes that regularly converts into monthly work. The report and playbook are generated; your margin lives in the interpretation and the roadmap.
Most fixes, FAQ schema, comparison pages, citation outreach, sit naturally inside work you already sell. Rebadging part of the retainer as answer optimization, with its own metric, raises perceived value without raising delivery cost.
The mindshare table shows how entrenched the category leader is before you promise anything. Contested categories get a longer roadmap; open ones get quick wins. Agencies that scope from data burn fewer relationships.
Add answer share to the monthly report next to rankings and traffic. It reframes the agency as measuring what buyers actually see in 2026, and it is a number competitors' reports do not have.
Pick one vertical you know, move two clients' answer share, and write the case study with real numbers. Vertical proof plus a repeatable process is how a service line becomes a growth engine.
Public report links are clean and client-presentable today. Full white-labeling is on the roadmap; agencies currently present the report alongside their own recommendations deck, which is where the billable value sits anyway.
Brands are unlimited; the plan meters analyses per month. An agency running a monthly check per client fits a mid-sized book on one plan and can re-run key clients more often in push months.
No. You run everything from your workspace and share results via public report links. If a client later wants their own seat, their brand's history can continue in their account.
Agencies we see typically price a standalone audit in the mid hundreds and fold ongoing answer optimization into retainers at existing rates, with answer share as the reported metric. The service is new enough that positioning, not price, wins the deal.
Yes. The MCP server exposes scores, gaps, fixes, and history to any MCP client, so your team can pull client numbers into their own assistant or dashboard workflows.
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