Consolidating disparate, fragmented digital footprint audits into a single, unified visibility engine makes exceptional operational sense for small-to-medium enterprises (SMEs) and early-stage founders. Most optimization software completely isolates performance—forcing you to track technical SEO in a tool like Ahrefs, evaluate localized Google Business Profiles in another, monitor user friction in an analytics suite, and manually query LLMs to determine your Generative Engine Optimization (GEO) footprint. The clear unlock here is the holistic "Visibility Score" canvas that treats your website structure, local citation maps, content distribution channels, and user conversion flows as a single, connected pipeline. By aggregating these distinct surfaces into a uniform audit layer without forcing founders to stitch multiple third-party tools together, it drastically reduces the administrative time spent pinpointing exactly where a business is leaking prospective customer intent.
the machine-crawlability framing on the AI discoverability check makes sense as a proxy, but crawlability and actually getting cited in an AI answer are two different things - a perfectly crawlable site can still lose to a competitor the model just happens to favor for reasons that have nothing to do with schema or structure. do you have any way of validating the AI discoverability score against real-world outcomes, like actually querying ChatGPT/Perplexity with relevant prompts and checking if the business shows up, or is it purely structural signals for now?
Sharp distinction, and you're right \u2014 right now this measures structural readiness (schema, FAQ content, consistent business info, quotable sentence structure), which is a proxy, not validated outcome. It doesn't yet fire real prompts at ChatGPT/Perplexity/Gemini and check for actual citation \u2014 that's a genuinely different, harder problem, and I don't want to overclaim what this does today. Good feedback, actively thinking about how to close that gap properly rather than fake it
@lindo_zuma that's the honest answer and I respect it more than a made-up validation number would've gotten. structural readiness is still genuinely useful on its own, just label it as that and not as "will get you cited" and you're fine.
@galdayan good catch. thanks
How does this handle businesses that operate in multiple locations or industries at the same time, or is it strictly single niche?
@remziye6uti Good question. Right now it's built around one Google Business Profile and one website at a time — deliberately, since visibility is genuinely local and brand-specific, not something that averages well.
For multi-location businesses, we'd actually recommend running it once per location rather than combining them — 3 branches means 3 different GBP profiles, 3 different review pools, 3 different local search positions. A single blended score would hide exactly the location-specific gaps this is meant to surface.
For multi-brand businesses, same logic — once per distinct brand/website.
how does the visibility score actually stay current, like does it rerun automatically when my site or reviews change or is it a one-time snapshot?
@gol_sar33694 It operates as a live, real-time snapshot on-demand.
We engineered it this way on purpose to avoid stale, cached data from weeks ago. Because the public signal checks and the new competitor comparison module hook directly into Google’s live APIs using your key, every single time you click "Run Auto-Check," it pulls millisecond-fresh data straight from the source.
If you optimize your site speed, fix a structural leak, or pick up five new Google reviews today, you can hit rerun immediately and watch your visibility infrastructure update in real time.
How does the AI discoverability check actually work, since AI tools vary so widely in how they surface information?
@havavyad You hit on the exact reason why traditional keyword-stuffing fails in 2026. Because AI engines (like Perplexity, ChatGPT, and Google AI Overviews) synthesize answers on the fly, you can't optimize for just one specific platform's algorithm.
Instead, our AI discoverability check evaluates your site's Machine Crawlability. Since most answers are now driven by ai, most of us stop at the top where gemini has answered instead of scrolling past. It measures how easily an AI scraper running a live search (RAG) can find, map, and trust your brand.
How does the scoring actually work when you pull in competitor data, are you comparing against the same eight categories or a different benchmark set?
@kaanildan84332 This is a brilliant technical question.
To keep the tool lightning-fast and respect data privacy, the competitor module uses a focused reputation and local authority benchmark rather than running all 8 deep technical categories on your rivals.
Here is how the scoring scales when you pull in competitor data:
The Core 8-Pillar Score: This remains uniquely calculated for your business, because it analyzes your deep backend plumbing—like your specific JSON-LD schema layers, technical crawlability, and mobile-responsiveness.
The Competitor Benchmark: When you input your rivals, the engine uses the Places API to extract their live public footprint—specifically their Review Volume, Average Rating, and Map Optimization Status.
The app then benchmarks your core local plumbing directly against their real-world market authority. It maps out the exact gap you need to close (e.g., "You need 42 reviews to outpace Competitor 1 on the map grid"). It’s a side-by-side view of your inner technical readiness versus their external public presence.
How does the AI discoverability scoring actually work under the hood, and does it need my API key for every single assessment or just the first one?
@volkanon8q Nope, the AI check doesn't need your API key at all!
The only feature that uses your free Google key is the recently added competitor comparison module, this is the only time you need your API key. We built it that way so your rival research happens entirely in your own browser—meaning your data stays 100% private to you and never touches our servers