Azure AI Search vs. BrightLocal

It's very useful when used with large file systems, once the models index the files good enough, the suggestions are very impressive and produce grounded answers. Since it can natively work with blob storage the requirement for pre-processing the data is eliminated i.e. the data can be searched in its raw form, this makes Azure AI Search a very powerful tool when used with Azure Stack.

Incentivized

If you are a local business owner or marketing agency catering to local businesses, BrightLocal is a must have software. It has everything you need to track your local marketing efforts and to identify opportunities to make improvements, all at a very reasonable price point. You can also create nice looking reports to send to clients which are simple to create.

Incentivized

• Incredibly robust back-end infrastructure.
• Streamlined integration into Microsoft's Azure Cloud.
• From a user standpoint, it lets the customer easily access their data and provide useful search tips.

Incentivized

• When we use BrightLocal's citation building service, I know that we're getting quality citations done right. Their staff will email you with any questions and always double check the information before creating inaccurate citations.
• I love that BrightLocal is very quick about making changes when requested. For example, if we can't find a city on the drop-down list, you can chat them and they'll add it. Or if a report is pulling incorrectly, they'll re-run it within a reasonable timeframe.
• BrightLocal has a lot of different reports that are easy to send to your clients. You can even add them to a web-viewable dashboard so that your client can simply bookmark a link and view their reports when they please.

Incentivized

• Like virtually all Azure services, it has first-class treatment for .Net as the developer platform of choice, but largely ignores other options. While there is a first-party Python SDK, there are only community packages for other languages like Ruby and Node. Might be a game of roulette for those to be kept up-to-date. This might make it a non-starter for some teams that don't want to do the work to integrate with the REST API directly.
• In my opinion, partitions inside of Azure Search don't count as data segregation for customers in a multi-tenant app, so any application where you have many customers with high-security concerns, Azure Search is probably a non-starter.
• To elaborate on the multi-tenant issue: Azure Search's approach to pricing is pretty steep. While there is a free tier for small applications (50MB of content or less) the first paid tier is about 14x more expensive than the first SQL Database tier that supports full-text search. For many applications, it makes a lot more economic sense to just run some LIKE or CONTAINS queries on columns in a table rather than going with Azure Search.

Incentivized

• Up and down rankings were not always right on with the local search, but only off by one or two spots
• It felt like it was only used for local SEO, and I know there are more features, just never got to them.
• Didn't seem useful for every single client in the way Ahrefs or Spyfu did

Incentivized

I give 10 rating because by using this endpoint and api key only we able to build that chatbot product in a timeline given by our client and also creating the endpoint and keys from the portal is also very easy for Azure AI Search and it doesn't take much time and also scalability is good.

Although their customer support has always contacted me, they have not always been helpful. Many times I've had reports or information disappear with them telling me they had no record of it, even when I had reports that the information was in there. There are times when their system did have bugs and the support was able to help me there. Overall, the support staff is there but they cannot always do much and need to wait for their development team to get back to them which often takes a long time.

Incentivized

It is good for me, and I want to rate this product 9/10. I hope they continue to improve and also offer a free plan with more benefits to learn Azure AI Search.

Incentivized

Thryv reached out to me about 3 weeks before signing up with BrightLocal. While all of their features were impressive, there were only about 3 features that I would have used. Thryv wanted $200 per month for their service, which I found to be way overpriced for what I was wanting to use it for. I selected BrightLocal because it had the features I wanted at a lower price and then add ons. After using BrightLocal for a week and speaking with Becki, a customer service executive, I have discovered more features that I would use on BrightLocal than on Thryv.

• When integrated with our existing file system the Azure AI Search helped users tremendously by reducing search times and improve efficacy of intended result.
• Since Azure AI Search is a PaaS solution, we had very short ideation to go-live timespan, which ended up reflecting in our product performance.
• A rare but not negligible occurrence was correctness of search being questionable when new data was added to the system. The search returns false positive results.

Incentivized

• BrightLocal's ranking reports have helped us better serve our clients' SEO needs, especially local SEO.
• Reporting is nicely accomplished with their online client report dashboards.
• Negative: some of their software defects are glaringly obvious take forever to fix, creating a number of awkward moments when we talk our clients through their reports.

Incentivized