Google shows up in
67%
Google appears in 67% of buyer questions and 100% of direct comparison questions that include Google. Amazon Web Services appears in 100% of buyer questions.
AI search report
See where Google is losing buyers in AI search
See when AI mentions Google, where buyer questions leave you out, and what to fix first so more buyers discover you before competitors.
What buyers see in AI search
What AI says before buyers reach Google's site
Buyer questions missed
33%
Google is left out of 33% of the buyer and comparison questions checked.
Who AI recommends instead
Amazon Web Services
Amazon Web Services is the competitor AI surfaces most often here.
Where AI already picks you
AI does not consistently connect Google with a clear reason buyers would choose it yet. That usually means the evidence buyers need is either missing, scattered, or easier to find on competitor sites.
Where competitors beat you
- Competitors beat Google on Auto-scaling Compute. Amazon Web Services is rated strong while Google is limited.
- Competitors beat Google on Availability Zones. Microsoft Azure is rated strong while Google is limited.
- Competitors beat Google on Customer support. IBM Cloud is rated strong while Google is limited.
How AI describes you vs competitors
What AI connects each brand with
| What buyers care about | What this means | Amazon Web Services | Microsoft Azure | IBM Cloud | |
|---|---|---|---|---|---|
| Customer support | AI gives IBM Cloud more credit for customer support than Google. | Barely associated | Sometimes associated | Barely associated | Clearly associated |
| Integrations | AI gives Amazon Web Services more credit for integrations than Google. | Barely associated | Clearly associated | Sometimes associated | Barely associated |
| Global Region Coverage | AI gives IBM Cloud more credit for global region coverage than Google. | Barely associated | Barely associated | Barely associated | Clearly associated |
| Availability Zones | AI gives Microsoft Azure more credit for availability zones than Google. | Barely associated | Sometimes associated | Clearly associated | Barely associated |
| Low-latency Networking | AI has little clear evidence connecting Google with low-latency networking. | Barely associated | Barely associated | Barely associated | Barely associated |
| Auto-scaling Compute | AI gives Amazon Web Services more credit for auto-scaling compute than Google. | Barely associated | Clearly associated | Barely associated | Barely associated |
Buyer questions you are missing
The questions where buyers may never see Google
These are high-intent questions where AI did not mention Google. Each one can become a clear answer page AI can trust and reuse, supported by evidence from Google's site.
Buyer question
scalable cloud computing solutions for global ad serving and real-time bidding
Google was not mentioned in this AI answer.
See the AI answerBuyer question
reliable cloud platform for building and deploying cross-region advertising technology solutions
Google was not mentioned in this AI answer.
See the AI answerComparison question
IBM Cloud vs AWS cloud platform pricing and features
Google was not mentioned in this AI answer.
See the AI answerComparison question
Amazon Web Services vs IBM Cloud for enterprise workloads
Google was not mentioned in this AI answer.
See the AI answerWhat to fix first
The shortest path to better AI search presence
Readable turns missed buyer questions into pages AI can trust, clearer evidence buyers can verify, and comparison answers that make it easier for AI tools to recommend you.
Close the Auto-scaling Compute gap before competitors keep winning the recommendation.: Buyers are asking about Auto-scaling Compute, but your homepage barely explains it. AI answers currently connect Amazon Web Services more strongly with that need.
Build dedicated comparison landing pages targeting 'Google Cloud vs IBM Cloud for enterprise workloads' and 'Google Cloud vs AWS pricing' that explicitly address TCO, compute pricing, and egress costs with structured data markup, so AI assistants can cite GCP as a named alternative in IBM-vs-AWS and cost-focused queries.
Develop category-positioning content that ties GCP's specific attributes—global fiber network, Cloud Spanner multi-region consistency, GKE auto-scaling, and 99.99% SLA commitments—to ad tech and enterprise infrastructure buyer criteria, enabling AI models to associate Google Cloud with scalability, reliability, and integrations rather than only analytics.
Pursue citations in third-party analyst reports, ad tech industry benchmarks, and cloud infrastructure review platforms (G2, Gartner Peer Insights, Forrester) that explicitly rank GCP on reliability, global region coverage, and partner ecosystem depth, as these are the source types AI assistants draw on when constructing comparison and buyer-intent responses.
In the 'IBM Cloud vs AWS' and 'AWS vs IBM Cloud for enterprise workloads' comparisons, Google Cloud is entirely absent despite being a credible alternative for enterprises evaluating legacy infrastructure modernization—these are uncontested slots where GCP could be inserted as a cloud-native migration path.
What you’ll see in the AI search review
Find the AI answers costing you buyers
In one review, we’ll show where Google is missing, which competitors AI is recommending instead, and the first pages or evidence updates most likely to help you show up.
The buyer questions where Google is left out.
The competitor claims AI is repeating instead.
The first fixes most likely to help Google show up.
Fix the buyer moments AI is missing
We’ll show you which AI answers are costing you buyers and what to publish first.
Bring this report to a short review with Readable. You will leave knowing the buyer questions, evidence gaps, and answer pages that matter most.
Improve my AI visibility