We don't rate ourselves and we don't invent customer surveys. Instead: three named references, our published benchmark data, and three steps to verify us without us.

Botfusions Reviews: Why You Won't Find a Star Rating on This Page

You almost certainly opened this page with one question: does Botfusions actually work? Here is the direct answer — you will not find a score out of five, a satisfaction-survey average, or a "customers reported a 42% increase" figure here. We deliberately don't publish those. Below is why, and what you can look at instead.

Why we don't publish our own rating

A GEO agency giving itself 4.9/5 on its own website is not verifiable information; it is a sentence a company wrote about itself. The same goes for claims like "our active accounts report an average 35–50% impression uplift": no sample, no measurement method, no third-party verification. A reader has no way to tell whether that came from a survey or from a marketing meeting.

Our methodology page states this as an explicit commitment: no fabricated expert quotes, no invented awards, no aggregateRating, no invented numeric scores. That isn't a slogan — the schema validator in this site's build pipeline treats a Review node on any page as an error and fails the build.

Hiding the score in prose changes nothing. "Support Quality: 4.9/5" is no less invented for being written without a schema tag around it.

Three things you can look at instead

1. Clients who agreed to be named

The testimonials section on our homepage lists three organisations: Alafranga Translate, Hakan Turizm and Sandaluci. Their names and companies are shown because all three consented to publication.

That is also why you see three cards there and not five: we have three references. We are not inventing a fourth and fifth name to fill out the grid.

2. Our own measurement data — but not as customer outcomes

Our AI Visibility Benchmark 2026 collected 560 data points across 80 queries, 7 AI models and 8/8 engines. The method and the findings are published in full.

The distinction matters: those are measurement results, not customer results. Measuring how much source citation affects visibility is one thing; saying "our clients gained X%" is another. We don't blur the two.

3. Case studies, with their limits stated

The work on our case studies page sits under NDA, so we give sector and scale instead of company names. Labelling an anonymous engagement a "Fortune 500 tech firm" is itself a claim, and since it can't be verified, we don't make it either.

Verify us yourself — you don't need us for this

These three steps take ten minutes and give you an answer that doesn't depend on us:

Ask ChatGPT, Claude, Gemini or Perplexity a buying question from your own sector. Which brands get cited? Do you appear? Do your competitors? That single test tells you more than anything an agency can say to you.
Read the sources on our methodology page yourself. We cite the KDD 2024 study measuring the effect of GEO tactics (Aggarwal et al., Princeton/Georgia Tech) — that is not our finding, it is public academic literature, and you can check it directly.
Open the source of any page on this site and inspect the JSON-LD. See for yourself whether we actually implement the structure we recommend.

Let's be clear about what you'd be buying

Botfusions is not a self-serve dashboard subscription. There is no platform login we hand you, and no public API feeding your BI tool. Executive-level reporting exists only in the top tier.

What we do is a service: measuring your brand's visibility in generative search engines, identifying the gaps, and implementing the technical and content changes that close them. Scope per package is on the pricing page.

If you're not sure where to start, the sensible first step is measuring where your brand stands in AI engines today: the GEO Readiness analysis.

Botfusions Reviews: Why You Won't Find a Star Rating on This Page