Reframing Brand Visibility in the Age of AI: How Seshes AI Helps You Stay Ahead of the LLM Search Wave

In a world where consumers increasingly ask AI assistants, chatbots and large-language models (LLMs) instead of typing queries into a keyword box, brand visibility is being redefined. Traditional search-engine optimisation (SEO) is no longer sufficient on its own. What matters now is how your brand appears (or doesn’t) inside the responses, summaries, and citations pulled by LLMs. That’s where Seshes AI comes in.

Below we walk through the “how to use” journey of Seshes AI – how to set up your account and project, what you’ll measure, and how to interpret the dashboards — and then we place that within the broader context of the LLM-search transition described by Exploding Topics, outlining why it matters for your brand, how behaviour is changing, and what actionable steps you can take via Seshes AI to capture this wave.

Why LLM Search Matters

First, let’s zoom out and understand the tectonic shift.

What is LLM Search – and Why Should You Care?

According to the Exploding Topics article, LLM search refers to information retrieval via AI-driven chatbots and large language models (for example: ChatGPT, Claude, Gemini) rather than through traditional, link-based search engine results. Exploding Topics+1
With these systems, users ask conversational queries, receive synthesized answers, and often don’t click further into websites. Exploding Topics cites data showing that AI-overview results (for example via Google’s “AI Overviews”) already cover ~13.14% of all queries as of March 2025, and within those results, only ~8 % of users always click through to the source material. Exploding Topics

This has major implications: your brand might be cited, or not, in AI-generated answers — and you may receive no direct click, yet still generate awareness or preference from that exposure. Moreover, when your brand isn’t visible inside the answer, you’re potentially invisible to a rapidly growing segment of users.

LLM Search vs Traditional Search

Exploding Topics outlines key differences:

• In traditional search (e.g., Google), users type keywords, click through a ranked list of blue links, and traffic can be relatively measured via click-throughs. Exploding Topics
• In LLM search, users ask a question, the LLM generates a synthesized answer drawn from many sources, may or may not provide a link, may mention a brand without linking it, and often the user stops once satisfied. Exploding Topics
• Attribution becomes murkier. If a user asks an LLM “What’s the best ski goggles for triathlon?” and the LLM says “Brand X makes top goggles…” without linking, then you’ve gained brand mention without a click. Exploding Topics calls this “the great decoupling” — rising impressions but falling traditional clicks. Exploding Topics

The Argument for Urgency

The data calls this a sea-change rather than an incremental shift. For example:

• Exploding Topics cites Semrush projections showing that traffic via LLM search is expected to rise from ~4% in 2025 to ~75% by 2028, overtaking traditional organic search. Exploding Topics
• It also states that visitors arriving via LLM-based answers may convert at higher rates (ChatGPT-driven visitor ~4.4× more likely to convert than typical organic search user) because they’re more informed when they arrive. Exploding Topics

Taken together, this means that if your brand isn’t optimised for how LLMs “see” your brand and products, you risk being invisible in the most important channel of the near future.

How Seshes AI Helps Brands Navigate the LLM Visibility Frontier

Now, let’s walk through how Seshes AI is built to map, measure, and improve the way your brand appears – or should appear – in LLM search.

Creating an Account and Getting Started

According to the “How to Use” page, Seshes AI offers a free AI Visibility Snapshot to get you started (no credit card required). Seshes.ai
What you get for free:

• An “AI Visibility Score” – a high-level measure of how your brand shows up across major LLMs. Seshes.ai
• Brand mentions across top LLMs. Seshes.ai
• Sentiment & tone analysis of how LLMs talk about your brand. Seshes.ai
• Competitor visibility in your category. Seshes.ai
• Keyword & topic visibility (up to 5 each) along with brand- and competitor-analysis prompts. Seshes.ai

This is designed as a “first look” into how LLMs perceive you; it’s a low barrier entry to assess the scale of opportunity and discover gaps.

Setting Up Your First Project

After verification, you configure your first project. Key setup steps include: Seshes.ai

• Choose project name (your brand/company)
• Select business type (e-commerce vs. standard)
• Add key products or keywords you expect the AI to recognise
• Define topics and categories your brand should appear in
• Create brand prompts (to capture tone, sentiment, visibility)
• Set competitor prompts (to benchmark performance)
• Either accept automated suggestions or customise everything manually

Why this matters: In the LLM age, visibility isn’t just about ranking for keywords—it’s about whether the LLM recognizes your brand, associates it with the right keywords/themes, surfaces it when users ask relevant prompts. Seshes points out:

“If customers can’t see you inside AI systems… they can’t choose you.” Seshes.ai

So the project setup is foundational: you’re defining what you expect from the LLMs, which enables the platform to measure whether your brand is showing up as planned.

Dashboard & Reporting: The Command Centre

Once your project is live, you have several dashboards/reports to track and act upon. Key ones include:

Visibility Dashboard (Snapshot + Over Time)

• The Snapshot gives you your current brand presence, visibility across major LLMs like GPT-4, Claude, Gemini. Seshes.ai
• Metrics include: Brand Presence (how often your brand is mentioned), Visibility (ranking relative to other brands), Competitor insights, Prompt winners/losers, Citations (which sites the LLM pulls your mentions from) Seshes.ai
• The “Overview” dashboard lets you visualise performance across models, identify strengths/weaknesses, and see which models mention you most and where your competitors are ahead. Seshes.ai

Brand Sentiment & Tone Report

• This report analyses how LLMs talk about your brand: the language used, sentiment, phrases associated with your brand, and how tone shifts over time. Seshes.ai
• The business logic: LLMs don’t simply surface your website; they characterise your brand in their answer-generation. If the tone is off, users might get a mismatched impression.

Query / Prompt Insights

• Here you get beyond the question of whether you appear — to how you appear in context. Seshes reports your AOE (Answer-Engine Optimisation) Score and GEO (Generative Experience Optimisation) metrics. Seshes.ai
• Metrics include: Intent distribution (awareness, consideration, transactional), sentiment trends across LLMs, keywords and URLs driving positive/negative mentions, and which other websites are cited alongside you. Seshes.ai
• This piece matters because in an LLM world you’re competing on meaning and experience, not just link rank.

Competitor Visibility Report

• Compare your brand vs up to your top 5 competitors across major LLMs: visibility, mentions, co-mention (brand overlap), ranking gaps, discoverability trends, keywords/products/topics driving visibility. Seshes.ai
• For e-commerce contexts: The “Shelf View Products Report” shows how LLMs pull specific products in category-level queries (e.g., “top skate shoes”) and the share of voice (product-level ranking) your brand has. Seshes.ai

Actionable Takeaways & Insights

• Seshes doesn’t stop at measurement: it offers what they call your “AEO coach” (Answer-Engine Optimisation) and GEO takeaways. Seshes.ai
• For example: GEO Visibility → Smart action items; AEO Visibility → Smart tasks; Brand Sentiment & Tone → Smart actions. Seshes.ai
• Their framing: AEO = about being found. GEO = about being understood. Seshes.ai

Putting It All Together: A Strategic Action Plan

Here’s how a brand could use Seshes AI to strategize around the LLM-search shift.

Step 1: Baseline Your AI Visibility

Use the free Snapshot to understand: how often do LLMs mention you? How do they describe you (sentiment and tone)? Are you visible for the topics/keywords you expect? Are your competitors more visible?

Insights from the Exploding Topics article highlight urgency: the shift to LLM search is happening now, and early movers will gain advantages. If you wait, you may find your brand trailing in the “AI shelf space”.

Step 2: Define Your Brand Context & Competitors

In your project setup, carefully define the keywords/topics your brand should be associated with. Include your products, your category, the buyer-funnel intents (awareness, consideration, purchase). Define realistic competitor brands as your benchmark.

From the Exploding Topics framework: one key step in optimizing for LLM search is targeting comparative and question-based prompts. For example, “Brand X vs Brand Y” or “How to choose product Z” – you’ll want to ensure your brand appears in those prompts. Exploding Topics

Step 3: Monitor What LLMs Show About You

Using Seshes dashboards, track how LLMs mention you:

• Which LLM models are you in (GPT-4, Gemini, Claude…and which ones matter to your market)?
• What keywords and topics do they associate with you?
• What sentiment and tone do they use when describing you?
• How does your competitor share of voice compare?
• For product brands: which products appear in LLM responses vs yours?

Step 4: Diagnose Gaps & Opportunities

Use the competitor report and prompt-insights:

• Are there high-value prompts (questions, comparisons) where you aren’t present or your brand is mis-represented (negative sentiment, off-toned)?
• Are your products less visible in LLM-search responses compared to competitors?
• Are you cited by low-authority sources (making the LLM less likely to reference you) or absent entirely?
• Is your digital footprint consistent across channels? (Exploding Topics emphasises that LLMs rely on a consistent brand footprint.) Exploding Topics

Step 5: Refine Your Content & Footprint for LLMs

Exploding Topics prescribes a set of optimisation tactics which align tightly with what Seshes is measuring. Key tactics:

• Structure content for easier AI analysis: headings, bullet lists, FAQ sections, comparisons. Exploding Topics
• Target question-based and comparative prompts: write content like “How does X compare with Y?” or “What’s the best Z for A?” Exploding Topics
• Build a consistent digital footprint: uniform branding, author bios, trust signals, participation in forums/UGC. Exploding Topics

Seshes helps you monitor whether this work pays off by tracking how LLMs react in terms of citations, mentions, sentiment, and ranking.

Step 6: Iterate & Optimise

Because Seshes gives you visibility over time (trend dashboards) and prompt-level insights (AOE/GEO metrics), you can repeatedly refine: change brand prompts, update content, enhance product listings, improve citations and then track improvement. Over time you’ll shift from being invisible (or mis-represented) in LLMs to appearing consistently in high-impact prompts.

Why This Approach Is Important

It may help to summarise why this new visibility paradigm matters – and why a tool like Seshes is timely.

The Shift in User Behaviour and Attribution

As users rely more on LLMs, fewer click through multiple links. Exploding Topics: for queries that trigger AI Overviews, 43 % don’t click at all. Exploding Topics
Your brand needs to make the answer, not just the page. If the LLM says “Brand X is best for Y”, that’s arguably more valuable than a 10th page result link. It’s a shift from “being found” to “being cited and recommended”.

Visibility Is No Longer Just Ranking

In traditional SEO, you care about ranking keywords, backlinks, click-throughs, bounce rate. In LLM search you care about: Does the brand exist in the model’s responses? What context is it placed in? What sentiment? What phrases do users associate with it? Seshes’ dashboards precisely measure those semantic/visibility dimensions.

The Competitive Advantage for Early Movers

Because this shift is still in progress (the projection suggests 75 % LLM-search traffic by 2028) you have a window to shape how your brand is perceived in AI. Brands that invest early in being visible and coherent in LLMs will likely capture more of that attention share, before the “shelf space” becomes crowded.

The Multi-Model Reality

It’s not just Google anymore. LLMs from different vendors (OpenAI, Anthropic, Google, etc) all factor. The Seshes dashboard’s multi-model view (GPT-4, Gemini, Claude) is critical. Your brand may appear in one model’s responses but not another – you’ll want a unified view.

Example Use-Case to Bring It to Life

Let’s say you’re a mid-sized consumer brand: “AquaSwim”, a manufacturer of high-performance swim gear for triathlons. You sell wetsuits and swimskins and goggles.

1. Snapshot: You run the free Seshes Visibility Snapshot. You find your brand is mentioned rarely in LLM-generated responses, and when it is, the comments focus on “basic swim gear” (not premium triathlon) and are neutral or slightly negative.
2. Competitor Benchmarking: You add a competitor, “TriGearPro”, in the Seshes project. You discover TriGearPro appears more often, with positive tone, and a higher AOE/GEO score.
3. Prompt Analysis: You discover that common user prompts like “best wetsuit for triathlon 2025” or “what swimskins do elite age-groupers use” list TriGearPro but not you.
4. Action: Based on Seshes insights plus the Exploding Topics optimisation recommendations, you restructure content: you add a FAQ section (“What makes a triathlon swimskin premium?”), create comparison tables (“TriGearPro vs AquaSwim – features, materials, race-performance”), publish thought-leadership articles showcasing your tech, and ensure your brand name and product names appear naturally in high-value prompts (e.g., “AquaSwim Elite Race”) across your website, blog, social channels.
5. Footprint Consistency: You make sure your branding, logo, naming is consistent across LinkedIn, X, Reddit posts, user reviews and forums. You engage in triathlon forums and Q&A sites discussing “which wetsuit to buy”.
6. Re-Measure & Iterate: After 4-6 weeks you check Seshes again. You see your brand mentions have increased, sentiment improved, you appear in more prompts, and your competitor gap has narrowed. You refine further: add product-level tracking (“Top swimskins for age-group triathletes”), test different prompts, and repeat.

Over time you build a lead in LLM visibility – not just being found, but being recommended by AI assistants when users ask.

Key Takeaways

• The era of clicks alone is fading: LLM search is shifting how brands are discovered.
• Traditional SEO remains valuable, but you now need to optimise for “how LLMs talk about you” (visibility, context, sentiment) as much as “how you rank for keywords”.
• Seshes AI gives you the tools to measure that hidden dimension: whether LLMs recognise your brand, how they describe you, how you compare to competitors, and which prompts/opportunities you’re missing.
• The optimization levers: structured content, question-based prompts, comparative analyses, consistent brand footprint, and product-level visibility.
• Early adoption matters. The projected shift to ~75 % of search traffic being from LLMs by 2028 means brand visibility inside AI is becoming a critical competitive battlefield.

Why Seshes AI Is the Right Platform for This Moment

While you could attempt to measure LLM visibility via spreadsheets and manual tracking, Seshes AI is built specifically for this new frontier. It offers:

• Multi-model reporting (not just Google, but GPT-4, Claude, Gemini)
• Brand, product, competitor visibility metrics
• Sentiment, tone, prompt-level insights (AOE/GEO)
• Actionable takeaways each reporting period
• A free entry-point to begin the journey

Because of the unique nature of LLM search (citations, no-click results, brand mentions without links), you need a specialised lens – and Seshes provides exactly that.

Final Thoughts

If you’re still thinking in terms of traditional search engine ranking: “I just need more backlinks, more keywords, higher click-through rate” – you’re missing a broad shift. The next frontier is about how your brand shows up inside AI-driven discovery: in conversational answers, summarised responses, recommendations inside chat assistants.

By leveraging Seshes AI now, you can position your brand to be seen, mentioned, recommended and effective when users ask “Which brand should I pick?” or “Which product is best for me?” inside an LLM.

The transition may feel daunting – it’s new territory, the metrics are different, the attribution is fuzzier. But that’s exactly why the opportunity is there: brands that move early and smart will win the shelf-space inside AI.

If you haven’t yet run your visibility snapshot, now’s the time. And if you have, take the next step: define your project carefully, track your visibility, and turn insights into targeted action. That’s how you harness the wave of LLM search rather than get caught behind it.