Optimly vs. Semrush AI Brand Performance
What Optimly Does
Optimly is an AI Brand Index built to answer three questions: How do AI models describe your brand? Where are they getting it wrong? And what specifically do you need to fix?
Optimly built this from the infrastructure out. Our directory of 5,829 brand profiles is crawled by every major AI platform — OpenAI (10,816 requests/week), Anthropic (4,669), Amazon (4,366), and Perplexity (1,699). Optimly sees how AI models consume brand data because we operate the infrastructure they consume.
That server-side perspective shaped every part of the Optimly platform:
- →BAI Scoring. Optimly measures AI brand representation across three dimensions: Answer Presence (does AI mention you in relevant queries?), Message Pull-Through (does it describe you accurately?), and Owned Citations (does it cite your sources?). Each dimension is scored independently because the failure modes are different.
- →Archetype Diagnostics. Optimly classified 5,829 brands into four archetypes: Incumbent (379 — AI gets them right), Challenger (463 — known but not recommended first), Phantom (111 — completely invisible), Misread (47 — AI mentions them but gets it wrong). The archetype tells you what kind of problem you have and what the fix looks like.
- →Fix Cards. Every Optimly audit generates specific remediation actions with expected impact and timeline, informed by 8,008 score changes tracked weekly.
- →Model-Level Granularity. Optimly breaks down representation by AI model because different models have different "versions" of your brand. ChatGPT may describe you correctly while Claude has outdated information.
- →Delta Tracking. Optimly monitors BAI score changes in real-time. 8,008 scores shifted in a single week (464 declined, 74 improved). This tells you whether your reputation is improving or decaying.
Optimly treats AI brand reputation as a standalone discipline — not a feature within a marketing suite. The scoring, diagnostics, and remediation were designed specifically for how AI models represent brands.
What Semrush Does
Semrush is the most comprehensive marketing analytics platform available. Their keyword database, competitive intelligence, and multi-channel reporting are industry-leading. SemrushBot sent 3,616 requests to our directory this week — serious crawling infrastructure.
Semrush's AI brand performance features benefit from this foundation. They provide AI brand data within the same platform where teams already track SEO, PPC, content performance, and competitive intelligence. For enterprise marketing teams, that consolidation matters — one login, one reporting workflow, one vendor.
Semrush is strong for teams that want AI brand data as part of a unified marketing analytics view. Their competitive intelligence database gives useful context, and their enterprise-grade reporting makes it easy to present AI brand metrics alongside traditional marketing KPIs.
Where They Differ
Built for AI vs. Built for Search
Optimly was built for AI brand reputation from day one. Optimly's scoring methodology, archetype framework, and remediation system were designed specifically for how AI models represent brands — not adapted from search metrics. Semrush's AI brand features are built on their keyword and competitive intelligence infrastructure. Powerful for understanding search-side signals, but the foundation is search analytics, not AI model behavior.
Fix Cards vs. Insights
Optimly generates fix cards: specific, prioritized remediation actions with expected timelines and evidence from 8,008 tracked score changes. A fix card says "update your Crunchbase description, add Organization schema, expect BAI improvement in 2-3 weeks." Semrush provides insights — dashboards, trends, competitive comparisons. Valuable for understanding the landscape, but the gap between insight and action remains.
Category vs. Feature
Optimly treats AI brand reputation as a category — a standalone discipline with its own methodology, scoring, and remediation workflow. Semrush treats it as a feature within a comprehensive marketing suite. Neither is wrong; they reflect different strategic bets on how the market evolves. The right tool depends on whether you see AI brand reputation as a dashboard metric or a strategic initiative.
Semrush AI Brand Performance
- AI brand data within a comprehensive marketing platform
- Built on keyword and competitive intelligence infrastructure
- Provides insights and competitive comparisons
- One feature among many in a marketing suite
- Search-centric methodology adapted for AI
Optimly
- Dedicated AI Brand Index
- Built from scratch for AI model outputs
- Provides specific fix cards with evidence
- AI brand reputation is the entire product
- AI-native methodology (BAI: 3 dimensions)
Same Brand, Both Tools
We ran the same B2B SaaS brand through both Optimly's audit and Semrush's AI Brand Performance features to compare what each surfaces:
| Dimension | Optimly | Semrush |
|---|---|---|
| Scoring approach | Three-dimensional BAI score (Answer Presence, Message Pull-Through, Owned Citations) | Keyword-based AI visibility tracking alongside SEO metrics |
| Competitive context | Benchmarked against 5,829 brands with archetype classification | Rich — draws from Semrush's extensive keyword and competitive intelligence database |
| Model granularity | Per-model breakdown: ChatGPT, Claude, Gemini, Perplexity | Aggregated AI visibility data |
| Diagnosis | Archetype diagnosis (Incumbent/Challenger/Phantom/Misread) with root cause analysis | Competitive insights and trend data |
| Remediation output | Specific fix cards with before/after evidence from 8,008 delta data points | Directional insights for marketing strategy |
Optimly's audit provided deeper diagnostic capability for the specific problem of AI brand misrepresentation — identifying the brand as a Challenger with strong Answer Presence but weak Message Pull-Through. Semrush contextualized AI brand performance within a broader marketing analytics framework — useful for teams that need a unified view across channels.
When to Use Which
Use Optimly if:
- • AI brand reputation is a strategic priority, not a dashboard metric
- • You need to diagnose WHY AI gets your brand wrong and fix it
- • You need model-by-model analysis (ChatGPT vs. Claude vs. Perplexity)
- • You want archetype-based diagnosis with specific remediation paths
- • You need longitudinal tracking of 8,008+ weekly score changes
Use Semrush if:
- • You're already a Semrush customer and want AI brand data in the same dashboard
- • You need AI brand performance alongside SEO, PPC, and content metrics
- • Your marketing team needs a single platform for all competitive intelligence
- • You want directional AI brand data without a dedicated initiative
By Role
If you're a brand manager or CMO: Optimly. You need the strategic picture — which archetype are you, why is AI getting you wrong, what's the remediation path, and how is your perception changing over time. That's a different question than "are we visible."
If you're a content strategist: Optimly. Optimly's fix cards generate specific content briefs based on what's actually wrong with your AI representation. Semrush tells you the landscape; Optimly tells you what to write.
If you're an SEO or marketing ops manager: Semrush. It fits into your existing reporting workflow and gives you AI data alongside the metrics your team already tracks. Less tool sprawl, faster time to insight for directional monitoring.
The Bottom Line
Optimly is a purpose-built AI Brand Index focused on the specific problem of how AI models understand and represent your brand. Optimly's methodology comes from auditing 5,829 brands, tracking 8,008 weekly score changes, and processing 19,454 AI crawler requests through our infrastructure.
Choose Optimly if you want to treat AI brand reputation as a standalone discipline with dedicated methodology, scoring, and remediation. Choose Semrush if you want AI brand data inside your existing marketing platform.
Semrush's investment in AI brand performance features signals something important for the category: AI brand representation is becoming a standard marketing metric. That legitimization is good for everyone — including us. A well-defined, well-understood market is better for practitioners than an obscure niche. We're grateful they're helping to define it, and we're focused on building the deepest diagnostic and remediation capabilities within it.
Background reading: LLM SEO and answer engine optimization cover how AI brand performance differs from classic SEO reporting.