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Description
Adobe Brand Visibility serves as a comprehensive generative engine optimization tool designed for enterprise-level brands, enabling teams to comprehend, enhance, and evaluate how AI systems discover, reference, and depict their presence. The application offers insights across multiple AI platforms such as ChatGPT, Claude, Perplexity, Google AI Mode, Google AI Overviews, and Microsoft Copilot, while also providing benchmarking for share-of-voice and understanding how AI crawlers interact with a website. Leveraging data from over 281 million AI search prompts, clickstream analytics, competitive assessments, SEO authority, and various search signals, it pinpoints areas where brands fall short in AI-generated answers and highlights the topics, prompts, and content investments that could boost their visibility. The platform generates actionable briefs that reveal how a single optimization can enhance a cluster of topics and identify where competitors are succeeding or leaving gaps in the market. Additionally, teams can address issues such as blocked crawlers, absent structured data, 404 errors, and technical geo-related challenges directly at the CDN edge or the content source without needing engineering assistance, streamlining the process of improving brand representation in AI systems. This functionality not only saves time but also empowers teams to make informed decisions that drive brand growth.
Description
Algomizer is an AI search optimization agency. We work on the retrieval layer that determines whether a language model mentions your product when someone asks it a question in your category.
The mechanics differ from search engine optimization in ways that matter technically. A generative engine does not return a ranked list of documents. It issues one or more reformulated queries against a retrieval index, pulls back passages rather than pages, scores them for relevance and source credibility, and synthesizes an answer that may cite four sources out of several hundred retrieved. Page-level authority still contributes, but the unit that gets retrieved is the chunk, and a chunk that depends on surrounding context to make sense will be retrieved and then discarded.
Most of our engineering work follows from that. We restructure content so passages are self-contained: explicit entity naming instead of anaphora, claims stated in full within the chunk, question-shaped headings aligned to actual query phrasing rather than to editorial style. We implement structured data properly, which in practice means Organization, Product, FAQPage and HowTo schema that validates and reflects what is actually on the page rather than schema bolted on for its own sake. We audit crawlability for AI user agents specifically, since GPTBot, ClaudeBot, PerplexityBot and Google-Extended are frequently blocked by robots.txt rules written years ago for a different threat model, or by CDN bot rules nobody has revisited. We implement llms.txt where it makes sense.
The off-site half is corroboration. Models are more willing to state a claim about a company when that claim appears consistently across independent sources. That is addressable through original research designed to be cited, consiste
API Access
Has API
API Access
Has API
Integrations
ChatGPT
Claude
Google AI Overviews
Microsoft Copilot
Perplexity
DeepSeek
Gemini
Gemini Enterprise
Google AI Mode
OpenAI
Integrations
ChatGPT
Claude
Google AI Overviews
Microsoft Copilot
Perplexity
DeepSeek
Gemini
Gemini Enterprise
Google AI Mode
OpenAI
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
10,000
Our pricing is performance based, we only get paid when we achieve the desired results.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Adobe
Founded
1982
Country
United States
Website
business.adobe.com/products/brand-visibility.html
Vendor Details
Company Name
Algomizer
Founded
2013
Country
Canada
Website
algomizer.com