Product update

Competitive Gap Analysis Update

Kojable now gives teams a clearer way to find AI visibility gaps: the places where competitors are appearing, cited, or recommended, while your brand is missing or underrepresented.

The update helps teams move from "are we visible?" to "where are competitors winning, why, and what should we prioritize next?"

Published Updated By Kojable
Topic
Gap Analysis
Stage
Competitive Intelligence
Read
3 min read
Format
News

Previous view

A broad visibility result could show that a brand was behind without explaining the competitive observation.

Now

Kojable separates competitor-winning prompts, topic gaps, positioning and source-pattern differences.

User impact

Teams can move from observation to diagnosis and choose the next investigation without assuming every gap is a content gap.

Investigation path

Observation stays separate from interpretation

A competitive gap is evidence to inspect, not automatic proof of missing content or a ready-made publishing task.

  1. Prompt observation

    Record what appeared for the specific prompt.

  2. Company comparison

    Compare the company and configured competitors.

  3. Cited evidence

    Inspect the sources supporting the observed answer.

  4. Possible diagnosis

    Frame explanations as interpretive and conditional.

  5. Next investigation

    Choose the next evidence-gathering step.

What changed

Kojable now maps competitive AI visibility gaps

Brands need to know more than whether they appear in AI answers. They also need to understand where competitors are mentioned, cited, recommended, or positioned ahead of them across answer engines and AI search experiences.

Kojable's gap analysis now helps teams compare their brand against competing brands across the topics, prompts, categories, and source patterns that shape AI-generated answers.

Answer

teams can identify where competitors are winning in AI search, where their own brand is absent or underrepresented, and which gaps deserve action first.

Why it matters

AI search creates competitive visibility gaps

When AI answers compare options, summarize categories, or recommend vendors, the answer may give competitors more attention than your brand. That can happen even when your own content exists, because answer engines rely on broader source patterns, clearer positioning, and repeated third-party evidence.

Missing prompts

Your brand does not appear for questions where competitors are named or recommended.

Weak categories

Competitors are easier for AI systems to place in the category or use case buyers ask about.

Stronger sources

Competitors show up more often in the sources answer engines cite, summarize, or trust.

Better positioning

The answer frames a competitor as a better fit, clearer choice, or more proven option.

What teams can identify

The queries, topics, and sources behind the gap

The update helps teams see where competitors are stronger across buyer questions, category language, comparison prompts, and cited sources. It also clarifies whether the issue is absence, weak representation, source quality, or positioning.

  1. Competitor-winning prompts

    Questions where competing brands appear more often, earlier, or with stronger recommendations.

  2. Underrepresented topics

    Subjects where your brand should be part of the answer but is missing or thinly represented.

  3. Category and use-case gaps

    Areas where competitors have clearer fit, comparison, or use-case signals.

  4. Source pattern differences

    External pages, publications, review sites, and other sources that reinforce competitor visibility.

AEO priority

Use gaps to decide what to fix first

Competitive gaps are useful because they point to the next best action. Teams can prioritize new content, source building, comparison coverage, positioning updates, and AEO work based on the places where competitors are already winning attention.

The goal is not to create a long research report. It is to give teams a practical view of where AI visibility is being lost and what work is most likely to close the gap.

One prompt is an observation, not a conclusive diagnosis. Teams should review repeated observations and cited evidence before deciding what to change.

  1. Observation

    Confirm the prompts, topics or sources where a competitor appears and the company does not.

  2. Diagnosis

    Review whether the evidence points to absence, positioning, source quality or another representation issue.

  3. Next investigation

    Choose the content, source, positioning or measurement question that deserves attention; a competitor gap is not automatically a content gap.

About this product update

This update was published by Kojable, an AI answer alignment platform for understanding and improving how companies are represented across AI systems.

KojableAI answer alignment platform