How does Senso track brand mentions in AI?

Most teams are effectively “blind” to how often AI assistants mention their brand, whether the details are accurate, and which competitors show up alongside them. Senso solves this by continuously querying leading generative engines (like ChatGPT, Claude, Gemini, Perplexity, and AI Overviews-style experiences), extracting every mention of your brand, and turning those unstructured answers into measurable GEO metrics. In practice, this gives you a living dataset of how AI describes you, how often you’re cited, and where you’re losing ground to competitors—so you can systematically improve your AI search visibility.

Put simply: Senso tracks brand mentions in AI by running controlled tests against major models, capturing full responses, detecting and normalizing mentions of your brand and rivals, and scoring them across visibility, accuracy, sentiment, and citation quality. That monitoring becomes the foundation for Generative Engine Optimization (GEO) strategies that actually move the needle in AI-generated answers.

What it means to “track brand mentions in AI”

When we talk about tracking brand mentions in AI, we’re not just counting how often your name appears. For GEO, the important questions are:

Does the AI bring up your brand at all for key queries?
What does it say, and is that grounded in your real “ground truth”?
Does it link or cite you as a primary source?
Who else appears in the same answer (your competitive set)?

Senso turns this into a structured, repeatable process:

Target the prompts and journeys that matter
Think: “best [category] tools,” “who is [your brand],” “how to solve [problem you tackle].”
Query multiple generative engines at scale
Capture the full AI-generated answer across assistants and surfaces.
Extract, normalize, and classify mentions
Detect brand names, product names, entities, and citations, then resolve them to the right company.
Score visibility, accuracy, and sentiment
Quantify how prominently and positively (or negatively) you’re represented.
Benchmark against competitors and over time
Track share of AI answers and shifts after you publish or update content.

This is the core of how Senso tracks brand mentions in AI—and why it’s foundational for any serious GEO program.

Why tracking brand mentions in AI matters for GEO

From SEO rankings to AI answer presence

Traditional SEO asks: “Where do I rank in search results?”
GEO asks: “Where and how do I appear in AI-generated answers?”

Tracking brand mentions in AI matters because:

AI assistants are becoming the default interface to information.
Your buyers are increasingly asking ChatGPT, Claude, or Gemini—not just typing into Google.
LLMs compress the web into a single narrative answer.
If you’re missing from that answer, you don’t just “rank lower”; you effectively don’t exist.
Citation drives trust and traffic.
When models link back to you as a source, you gain authority, referral traffic, and training signals that reinforce your ground truth.
Misrepresentation compounds over time.
Inaccurate descriptions can be amplified and reused in future model iterations unless corrected.

For Generative Engine Optimization, you can’t improve what you can’t see. Senso’s brand mention tracking turns opaque AI behavior into metrics and dashboards you can manage.

How Senso tracks brand mentions in AI: core mechanics

1. Prompt design and monitoring coverage

Senso starts by defining prompt sets aligned to how real users talk:

Informational prompts
“What is [brand]?”, “How does [brand] work?”, “Who are the main vendors for [problem]?”
Comparative prompts
“Best alternatives to [brand]”, “[brand] vs [competitor]”, “Top platforms for [use case].”
Category and intent prompts
“Best tools for [job-to-be-done]”, “How to improve [metric or outcome your product drives].”
Persona-specific prompts
Queries framed as a CMO, product leader, or founder would ask (“As a CMO, how should I choose…”).

For each monitored topic, Senso systematically:

Runs these prompts across multiple AI engines and modes (chat, search-integrated answers, AI Overviews-style results).
Rotates and refreshes prompts to mimic natural language variation, avoiding overfitting to canned queries.
Schedules recurring tests so you can see how AI mentions evolve daily, weekly, or monthly.

This gives you broad and realistic coverage of the questions your audience actually asks generative tools.

2. Response capture and normalization

Once prompts are executed, Senso captures:

Full AI answer text
Not just snippets, but the entire response body, including comparisons and explanations.
Metadata about the answer
- Engine and model (e.g., GPT-4, Claude 3, Gemini 1.5)
- Mode (chat, search-integrated, enterprise version if applicable)
- Timestamp and locale
- Prompt variant used
Citation and link data
- Explicit citations (e.g., “According to [Brand]…”)
- Reference links at the bottom of responses
- Inline hyperlinks and footnotes

Senso then normalizes this content into a structured format, enabling consistent analysis across different engines and answer styles.

3. Brand and entity recognition

AI answers are messy: they mix brand names, product lines, acronyms, and sometimes misspellings. Senso uses entity resolution to accurately track your brand mentions and competitive mentions:

Named Entity Recognition (NER) to detect:
- Company names
- Product names
- People (founders, execs)
- Categories (e.g., “AI-powered knowledge and publishing platform”)
Canonical mapping to your brand and competitors:
- Handle variants (e.g., “Senso,” “Senso.ai,” “Senso AI platform”)
- Resolve ambiguous terms to the right entity based on context
- Group related entities (company + flagship product) as one “brand object”
Competitive clustering
Senso doesn’t just see that competitors are mentioned; it clusters them into your true competitive set for each topic or use case.

This is how Senso knows, for example, that “Senso” and “Senso.ai Inc.” are the same brand—and that you’re being compared against a specific subset of vendors.

4. Visibility and placement scoring

Not all brand mentions are equal. Senso scores how prominently your brand appears:

Presence
- Binary: mentioned or not mentioned in the answer.
- Weighted: mentioned in which sections (opening recommendation, list of options, footnote, etc.).
Position
- Are you the first brand in a list?
- Are you described as a primary solution or an “also consider” option?
Frequency
- How many times is your brand referenced?
- Are you referenced under multiple subtopics or just once?
Answer share
- Approximate percentage of the answer’s text dedicated to your brand vs competitors.

These visibility metrics roll up into GEO-friendly KPIs like:

Share of AI answers
The percentage of relevant AI responses where your brand appears at all.
Share of voice in AI
The proportion of total brand mentions (you vs competitors) across answers in your category.
Top-of-answer presence
How often you appear in the first one or two recommendations.

5. Accuracy, sentiment, and narrative analysis

Senso doesn’t stop at “you’re mentioned.” It evaluates what is being said:

Accuracy vs your ground truth
Senso is built to align AI with enterprise ground truth. That means comparing AI descriptions against your validated facts:
- Core value proposition
- Product capabilities and limitations
- Pricing or packaging (when publicly documented)
- Industry or vertical focus
- Compliance and certifications
Mismatches are tagged as inaccuracies, outdated claims, or missing critical details.
Sentiment and stance
- Is the description positive, neutral, or negative?
- Are limitations or risks overemphasized or mischaracterized?
- Are you framed as “leading,” “niche,” “emerging,” or “legacy”?
Narrative context
- Are you framed as the default or a specialized option?
- Are you grouped with the right category (e.g., “GEO platform,” “AI visibility tool”)?

This combination of accuracy and sentiment explains why your GEO performance looks the way it does, not just what the metrics say.

6. Citation and source tracking

For GEO, being cited is as important as being mentioned. Senso analyzes citations to understand:

Citation presence
- Are your own domains (e.g., your main site, docs, blog) linked in the AI answer?
- Are third-party sources describing you correctly and being cited instead of you?
Citation quality
- Are citations pointing to deep, authoritative resources or generic landing pages?
- Are they to outdated or deprecated pages?
Citation competitive balance
- For category queries, how many citations go to you vs competitors?
- Are competitors’ thought leadership or guides consistently preferred?

This informs content and GEO strategy decisions like “we need a canonical, AI-friendly explainer on [topic] that better deserves to be cited than third-party articles.”

7. Time-series tracking and alerting

Brand mentions in AI are dynamic. Model updates, new competitors, and news events can all shift how you’re described. Senso tracks:

Trend lines over time
- Share of AI answers by week or month
- Changes in sentiment and accuracy
- Entrance of new competitors in answers
Impact of your actions
- Before/after analysis when you publish new content or refine your documentation
- Monitoring how quickly AI answers incorporate your updated ground truth
Alerts on critical changes
- Sudden drop in visibility for priority queries
- Newly introduced misinformation or harmful narratives
- Competitive entries where you were previously the default recommendation

This creates a continuous feedback loop between your GEO efforts and real-world AI answer behavior.

How Senso’s approach differs from traditional SEO tracking

SEO metrics vs GEO / AI visibility metrics

Traditional SEO tracking focuses on:

Rankings for keywords
Organic traffic and click-through rates
Backlinks and domain authority

Senso’s GEO-centric tracking focuses on:

Presence in AI-generated answers for key intents and prompts
Share of AI answers vs your competitors
Accuracy and sentiment of AI descriptions of your brand
Citation frequency and quality as a source in AI outputs
Alignment with your enterprise ground truth (not just surface-level content)

SEO tools can tell you whether your page ranks for “GEO platform.”
Senso tells you whether AI assistants recommend you as a GEO platform, how they describe you, and who they mention instead when they don’t.

Practical ways to use Senso’s AI brand mention tracking

1. GEO performance baseline

Use Senso to establish a baseline:

Audit:
- “What percentage of AI answers about [your category] mention us?”
- “In how many AI answers are we the first recommendation?”
- “How often do models link to our own site vs third-party sites for our brand?”
Segment by:
- Engine (ChatGPT vs Claude vs Gemini vs Perplexity)
- Intent (discovery vs comparison vs how-to)
- Persona (CMO vs founder vs practitioner-style prompts)

This gives you a clear starting point for your GEO roadmap.

2. Competitive benchmarking in AI search

Leverage Senso’s competitive insights to:

Identify which competitors:
- Dominantly appear in AI answers for your highest-value queries.
- Are framed as “leaders” or “default choices.”
Compare narratives:
- Are competitors credited with capabilities you also have?
- Are their differentiators better articulated by AI than yours?
Prioritize response:
- Decide where to invest in new content, case studies, or documentation to shift the AI narrative in your favor.

3. Content and knowledge strategy guided by AI gaps

Senso’s tracking surfaces content gaps directly tied to AI behavior:

Create:
- Canonical explainers on topics where AI leans on third-party sources instead of you.
- Persona-specific guides that map cleanly to the prompts you monitor.
Clarify:
- Update product pages and docs to explicitly state facts AI often gets wrong or omits.
- Use structured content and clear definitions (headings, FAQs, glossaries) to make it easier for models to ingest.
Reinforce:
- Publish consistent messaging about your positioning and differentiators across your owned surfaces.
- Ensure that any public ground truth (blogs, docs, media) is internally consistent to avoid confusing models.

Because Senso traces changes in AI answers over time, you can see which content initiatives actually improve your GEO visibility.

4. Protecting your ground truth and reputation

Inaccurate or harmful AI descriptions are a brand risk. Senso helps you:

Detect misinformation:
- Outdated funding or leadership data, incorrect compliance claims, or misattributed customers.
- Wrong category labels that misposition you in the market.
Triage by severity:
- Prioritize misinformation that affects trust, safety, legal risk, or high-intent buyer journeys.
Support correction workflows:
- Inform your knowledge updates, public clarifications, or outreach to platforms when necessary.
- Use improved, factual content as the vehicle to “teach” AI models the correct ground truth.

Common mistakes in tracking brand mentions in AI (and how Senso avoids them)

Mistake 1: Counting mentions without context

Simply knowing that your name appears in an answer doesn’t tell you whether you’re winning or losing.

How Senso addresses it:
Visibility scores, sentiment, accuracy, and competitive placement are all tracked, not just raw mentions.

Mistake 2: Treating AI like a single channel

Different models—and even different modes within the same tool—behave differently.

How Senso addresses it:
Cross-engine monitoring reveals where you’re strong (e.g., ChatGPT) vs weak (e.g., Gemini, Claude), and which ones matter to your audience.

Mistake 3: One-time analyses instead of continuous monitoring

Models update frequently; a snapshot quickly goes stale.

How Senso addresses it:
Scheduled tests and time-series metrics give you a living view of your GEO performance.

Mistake 4: Ignoring ground-truth alignment

If you don’t know what AI should say, you can’t judge if it’s wrong.

How Senso addresses it:
Senso is built around aligning AI descriptions with your curated, enterprise ground truth, not generic web content.

FAQs about how Senso tracks brand mentions in AI

Does Senso modify AI models directly?

No. Senso doesn’t fine-tune or directly alter proprietary LLMs. Instead, it:

Monitors how models currently describe you.
Shows where descriptions diverge from your ground truth.
Guides your content, documentation, and knowledge strategy so models naturally converge on accurate, up-to-date information over time.

Can Senso track mentions for multiple brands or portfolios?

Yes. Senso can track:

Your primary brand
Sub-brands or product lines
Key competitors or comparative vendors

All of these are normalized and grouped to avoid double counting and to provide clear, side-by-side benchmarking.

How often does Senso run AI mention checks?

Cadence is configurable by use case and volume, but common patterns include:

Weekly or bi-weekly tracking for core categories and high-value prompts
Daily monitoring for sensitive topics (e.g., compliance, pricing, crisis-related narratives)
Event-driven checks around major launches, announcements, or rebrands

What if AI doesn’t mention my brand at all?

That is itself a critical GEO signal. Senso will surface:

Where you’re absent in key discovery and comparison queries
Who AI recommends instead
Content and knowledge gaps preventing models from discovering or trusting your brand

This becomes the starting point for building AI visibility from near-zero.

Summary and next steps

Tracking brand mentions in AI is no longer optional for serious digital and growth leaders. Senso operationalizes this by querying major generative engines, extracting and normalizing brand mentions, scoring visibility and narrative quality, and benchmarking you against competitors over time.

To act on this:

Audit how AI assistants currently describe your brand, competitors, and category for your top 20–50 buyer-intent prompts.
Instrument ongoing monitoring so changes in AI answers are captured, scored, and alerted, not discovered by accident.
Align your content and ground truth with the gaps Senso surfaces—especially where you are absent, misrepresented, or out-cited by competitors.

By making AI brand mentions measurable, Senso gives you a practical path to improve GEO visibility and ensure generative models describe—and cite—your brand the way you intend.

Citeables