The Question Nobody's Tracking Yet
Ranking on page one used to be the whole game. Check position, check traffic, move on.
But a growing share of "search" doesn't happen on a search results page anymore. It happens inside ChatGPT, Gemini, and other AI assistants — someone asks "what's the best visual field analyzer for an eye clinic" or "who's the top vendor for X" and gets a direct answer, not a list of blue links.
If your business isn't the answer, it doesn't matter how well you rank on Google. You're invisible in the conversation that actually influenced the buying decision.
Almost nobody is monitoring this yet. Traditional SEO tools weren't built for it — they measure rankings and backlinks, not whether an AI model actually recommends you by name. So we built a system that measures both, automatically, every week.
What the System Actually Tracks
This runs on a weekly schedule for a client, completely on autopilot. No one logs into five different tools to pull reports. Everything lands in one dashboard.
- Site performance and technical health. The system pulls Google Lighthouse scores — performance, accessibility, best practices, and SEO — plus core technical checks like HTTPS, meta descriptions, and mobile viewport configuration. This is the foundation: an AI model is more likely to trust and surface a site that's fast, secure, and well-structured in the first place.
- Keyword rankings and search volume. Every relevant keyword in the client's space gets checked for search volume, cost-per-click, and competition level, batched and pulled automatically rather than looked up one at a time. Actual SERP position is tracked for the keywords that matter most, so the client always knows exactly where they stand.
- Domain authority and backlink health. Domain rank, organic traffic, referring domains, dofollow ratio, and new backlinks — all pulled and tracked over time, so a slow authority decline or a sudden backlink drop doesn't go unnoticed for months.
- Competitor benchmarking. The system doesn't just track the client in isolation — it pulls the same domain rank, organic traffic, and keyword data for a defined list of named competitors, side by side. That turns "how are we doing?" into "how are we doing relative to the companies we're actually losing deals to?" — a much more useful question.
- Keyword and link gap opportunities. Beyond current rankings, the system surfaces keyword ideas the client isn't ranking for yet and finds link-gap opportunities — domains linking to competitors but not to the client. Both are handed over as a ready-made action list, not raw data someone has to sift through.
- AI mention tracking — the part most tools skip entirely. This is the piece that answers the real question. The system runs real industry questions — the kind an actual customer would type into ChatGPT or Gemini — and checks the response for two things: does the client's brand get mentioned, and in what context? If not, which competitors show up in their place? Over time, that builds a picture of whether the business is actually part of the answer AI gives people, not just a link Google happens to index.
Why This Changes What "SEO" Even Means
Search engine optimization used to be a single discipline with a single scoreboard: rank position. That scoreboard still matters. But it's no longer the only one.
Generative AI search — sometimes called GEO, generative engine optimization — runs on a different logic than classic SEO. A model isn't ranking ten blue links; it's synthesizing an answer from whatever it considers most authoritative, most consistent across sources, and most clearly associated with the topic. That means the old signals (backlinks, keyword density, page speed) still matter, but a new signal matters just as much: does the internet, taken as a whole, associate your brand with the thing you actually do?
You can't manage what you don't measure. Most businesses have no idea whether they show up in an AI-generated answer, because there's never been a tool sitting on their desk telling them.
One Dashboard, Zero Manual Reporting
Before a system like this, getting this full a picture meant logging into Google PageSpeed, a keyword tool, a backlink tool, a competitor research tool, and manually prompting ChatGPT with test questions — then stitching all of it into a report by hand. That's easily a day of work, and it's the kind of task that quietly stops happening the moment things get busy.
After: it all runs on a schedule, gets parsed and cleaned automatically, and lands in one live dashboard. The report doesn't need to be remembered. It just shows up.
This Is the Pattern Behind Everything We Build
Site health, competitor pressure, and AI visibility are three different questions that used to require three different habits to check. Now they're one system, running quietly in the background, every week, without fail.
That's the same principle behind every automation we build at A.KM — take a process that depends on someone remembering to do it, and turn it into a process that just happens.
If you don't know whether AI recommends your business by name, you're not behind — almost nobody has checked yet. That also means it's one of the easiest gaps to get ahead on right now.