Competitor intelligence in Glara: Attribution, Monitor, and competitor tiers explained

Every ecommerce brand using AI visibility tools eventually asks the same question: why is AI recommending my competitor instead of me?

It is the right question. But the answer is only useful if it tells you what to do next. Knowing a competitor has higher visibility is one thing. Knowing which of their products are being recommended, why AI rates their pages highly, and where their weaknesses are, that is what turns competitor data into a brief for your own team.

Glara has built three features that work together as a competitor intelligence suite, each one designed not just to show you what competitors are doing but to help you use that information to improve your own brand's visibility in AI search.

See which attributes AI is crediting to competitors. Then make sure it credits them to you.

When someone asks AI to recommend a product, the response adds attributes the shopper never mentioned. Waterproof. Lightweight. Dermatologist-tested. AI is building a vocabulary around every brand in your category, whether those brands know it or not.

Glara's Attribution feature surfaces those attributes across your entire competitive set. You can see which attributes appear in AI responses for your category, how frequently each one shows up, and which brands are being credited for them, including attributes that never appeared in the original prompt.

For your own brand, this tells you exactly how AI currently understands your products and where the gaps are. For competitors, it shows you which attributes AI consistently associates with them and why those associations are driving recommendations.

The strategic use is direct. If a competitor is being credited for an attribute that your products also have but AI is not surfacing for you, that is a content and optimization gap you can close. If a competitor is being credited for attributes that genuinely differentiate them, that tells you where you need to build or articulate your own strengths more clearly.

Attribution does not just show you why AI recommends your competitor. It shows you exactly what your own brand needs to say to earn those same recommendations.

See which competitors are taking your visibility. Focus on the gaps you can actually close.

Not every competitor in your category represents the same kind of problem. A direct rival targeting your exact customer with your exact product range is a different challenge from a market-leading brand with significantly more domain authority appearing in the same prompts.

Glara's competitor tiers let you separate your competitive set into direct and indirect. Direct competitors are head-to-head rivals, same customer, same shelf, same category prompts. Indirect competitors are market leaders, category benchmarks, or brands you track for broader context.

The tier view in your visibility charts gives you a cleaner read on which situation you are in. If you are losing visibility primarily to direct competitors, that is an optimization problem at SKU level with a clear path forward. If visibility is going to indirect competitors with structural advantages, that is a different signal and requires a longer-term response around content depth, authority building, and category coverage.

This matters for your own roadmap. Without the tier view, it is easy to spend optimization effort competing against brands you cannot realistically outperform in the short term, while missing the direct competitor gaps where a few well-optimized product pages could shift the balance quickly.

Competitor tiers help you prioritize where your own optimization work will have the most immediate impact.

See how competitor product pages are scored for AI search. Find where yours can be stronger.

AI search engines read product pages directly. How well a page is structured for AI legibility, whether it includes the right attributes, technical specifications, and contextual signals, has a direct impact on whether a product gets recommended.

Glara's Monitor feature lets you point at any product page, yours or a competitor's, and get a score for how well that page is set up for AI search. You see what the page does well and what it is missing. Then Monitor keeps watching. If the page changes, Glara tells you what changed and how it affects the overall score.

For competitor intelligence, this creates two immediate opportunities.

First, if a competitor's page scores poorly on AI legibility, that is a category prompt where your own well-optimized product page has a real chance to take visibility. A weak competitor page is not just a data point, it is an opening.

Second, if a competitor starts improving their page score, Monitor notifies you. You can see exactly what they changed and respond before the visibility gap widens. Competitor optimization is not a one-time event, staying ahead means knowing when they move.

For your own pages, Monitor tells you the same things in reverse: where your pages are strong, where they are leaving visibility on the table, and what specifically needs to change to improve your score.

Three features, one strategic loop

The value of these three features together is that they create a complete loop between competitor intelligence and your own optimization.

Attribution tells you what AI is saying about competitors and identifies the attribute gaps in your own content. Competitor tiers tell you which gaps are worth prioritizing and where your effort will have the most impact. Monitor tells you how competitor pages are performing structurally and where the openings are for your own products to take visibility.

Used together, every competitor insight becomes an input to your own strategy. You are not just watching competitors. You are using what you learn about them to make your own brand stronger, more visible, and harder to ignore in AI search.

All three features are available now in Glara.

Not on Glara yet? Get your free AI brand report and see how your brand compares to competitors in your category today.