Service
SEO reporting: the monthly proof the work happened
Most SEO fails in the dark: work happens, invoices arrive, nobody can say what changed. Reporting is our answer and the centre of the whole program: one monthly document built from accounts you own, covering Google, Bing, and the AI engines.
What's in a monthly SEO report?
Five sections: what we changed this month, what your Google data shows (traffic, queries, clicks from Search Console and GA4), what your Bing data shows, your AI visibility (citations and which AI bots crawled your site), and what we're doing next. One document, plain language, every claim traceable.
| Section | Source | What it answers |
|---|---|---|
| Work log | Us | What did we actually do for the money? |
| Google performance | Your Search Console + GA4 | Who found you, searching what, and did they act? |
| Bing performance | Your Bing Webmaster Tools | The half of search everyone else ignores |
| AI visibility | Bing AI Performance + bot logs | Are AI tools citing you and reading your site? |
| Next month | Us | What's the plan, and why? |
How do you track AI search visibility?
Two data streams. Microsoft's AI Performance in Bing Webmaster Tools shows how your content appears across Copilot and Bing's AI summaries (including how often you're cited and which URLs get referenced). On sites we build, we also tag and log which AI bots hit which pages.
The per-bot layer is the part clients find addictive: seeing that PerplexityBot read your pricing page forty times last month, or that GPTBot suddenly discovered your service pages, turns "AI visibility" from a vibe into a trend line. When one engine favours certain content, we make more of it: that feedback loop is the practical payoff of measuring at all, and it feeds straight back into the AI optimization work.
Why does Bing get its own section?
Because Bing is where AI search is most measurable, and almost nobody looks. Microsoft's ecosystem (Bing, Windows search, Copilot) runs citation-first: when BrightLocal studied generative AI in local search back in 2023, Bing's AI surfaced local business info 100% of the time versus 80% for traditional Google search.
That architecture is why Bing Webmaster Tools shipped AI-performance reporting before anyone else: the citations were already the product. For a local business the practical translation is simple: Bing is smaller than Google but measurable deeper, and it's the cleanest window available into how AI assistants use your content. Your report reads both ecosystems side by side.
Can you show results from before we started?
Yes, that's the quiet superpower of the setup. Verifying your domains in Google's and Bing's webmaster tools surfaces months of historical search data (both platforms keep about 16 months), so your baseline is visible from day one and the before-and-after is honest.
This matters more than it sounds. Without history, an agency can take credit for your existing seasonality: every landscaper's traffic "doubles" in May. With 16 months on screen, this May sits next to last May, and the only thing left to credit is the actual work. We set the verification up in the first week precisely so neither of us can fool the other later.
How is the report delivered?
As an exportable document, monthly, written to be read, not decoded. Two versions when you want them: the full technical report and a plain-language summary that says what happened in sentences a non-marketer enjoys reading. A client dashboard is on the roadmap; the reports come first because the reports are the product.
Reporting is bundled into the program pricing (from month one on the three-month plans, from month three on month-to-month) and it's the reason we can offer a money-back guarantee at all: both sides can see whether anything moved. If you want to understand the rest of what the program builds, start with local SEO.
Never pay for invisible work again.
The reporting tier exists so you always know what changed and why. See how it's priced, or start with the free audit.