Agencies That Track and Improve Brand Mentions in ChatGPT, Gemini & Perplexity

Why Brand Mentions in AI Search Matter in 2026

This is not a future-state problem.

An Exploding Topics / Semrush survey of 1,009 US consumers (April 2026) found 77.6% have used AI tools to shop in the past six months. Of those, 68.64% say AI directly influenced them to purchase something they would not have bought otherwise. Product research (68.5%) and price comparison (55.19%) are the top tasks they hand to AI.

If those buyers ask ChatGPT which brand to buy and you are not being cited, a competitor is getting that conversation. That is not a trend to prepare for. It is already happening.

The B2B signal is just as concrete. A March 2026 analysis by Loganix, combining data from six studies across 680 million AI citations, found 73% of B2B buyers now use AI tools in their purchase research. The brands being cited in your category are building pipeline from queries you are probably not tracking.

We went deep on the fundamentals of getting cited in our companion guide: How Do You Get Your Ecommerce Brand Cited by ChatGPT and Perplexity? This piece focuses on the tracking and improvement layer on top of that foundation.

What AI Brand Mention Tracking Actually Involves

AI visibility tracking is not rank monitoring. There is no position 1 through 10. The primary metric is share of voice: out of a defined set of buyer-intent prompts, how many AI responses include your brand?

A proper tracking practice involves three things.

A query library. The agency builds a set of prompts based on how your buyers actually use AI: category research, comparison, and purchase-intent prompts. The library is custom, not generic. Running the same 50 prompts for every client is a sign the agency is running a reporting product, not a GEO program.

Regular prompt runs across platforms. Prompts get run across ChatGPT, Gemini, Perplexity, and often Claude and Google AI Overviews. Results get logged: which brands were cited, how prominently, in what context, and alongside which competitors. Because AI responses vary across sessions, share of voice across a large query set is more reliable than any single prompt output.

A content and authority feedback loop. The measurement shows you the gap. Closing it requires content production, link building, and structured data work. Agencies that deliver reports without executing on the improvement strategy are selling data, not outcomes.

Tools common in agency stacks for this work include Profound, Otterly AI, Frizerly, and Ahrefs Brand Radar. Most agencies layer one of these onto their own content and editorial workflows.

Agency vs. Tool: Which One Do You Actually Need?

If you have a content team and a dedicated internal owner for AI visibility, a self-serve tool can work. For most brands, the bottleneck is execution, not data access. A dashboard showing that your brand appears in 12% of relevant AI responses is not useful if no one has a plan to move it to 25%.

The Best Agencies for AI Brand Mention Tracking and Improvement (2026)

Jetfuel

Best for: DTC and B2B brands that want AI brand visibility measured and improved alongside paid media and conversion optimization, not as a standalone service.

We track brand share of voice in ChatGPT, Gemini, Perplexity, and Google AI Overviews as part of client onboarding. The baseline audit shows which queries you appear in, which you should be in but are not, and who is being cited instead.

The improvement work ties directly to content production, structured data, and link building. We focus on conversion-adjacent prompts: not just category awareness queries but buyer-intent queries that reflect someone deciding which brand to work with.

In practice, the first 90 days are about establishing the baseline and closing the most obvious gaps. The onboarding audit sets your starting share of voice across the query set, names the buyer-intent prompts you should appear in but do not, and identifies which competitors are being cited in your place. From there the content, structured data, and link building work targets the lowest-competition, highest-intent prompts first. Meaningful movement in AI citation generally takes three to six months as the platforms refresh their retrieval systems, so early reporting focuses on baseline coverage and the specific gaps being worked, not on a headline number.

Limitation: We are not a pure-play GEO agency. Brands looking for AI visibility as a standalone monthly service, separate from any content or paid program, are better served by a specialist.

NoGood

Best for: VC-backed startups and growth-stage DTC brands that need AI visibility built alongside performance marketing.

NoGood has published detailed GEO methodology content and runs AI visibility measurement as part of broader growth marketing retainers. Their approach is experiment-led: they test prompt variations and content structures to identify what actually shifts citation rate, rather than applying a static checklist.

Their focus is on growth marketing outcomes, so brands that need deep link building and editorial production as part of the GEO program should evaluate whether their content production capacity fits the scope.

Conductor

Best for: Enterprise and mid-market brands with established SEO programs looking to extend into AI visibility measurement.

Conductor integrated AI visibility monitoring into their managed services platform and has the scale for large enterprise query libraries. For brands already on Conductor's platform, adding AI mention tracking is a natural extension of the existing relationship.

The tradeoff: Conductor's strength is reporting depth and enterprise workflow. Brands that need aggressive content production velocity to move citation rate will sometimes find a smaller agency moves faster on execution.

Siege Media

Best for: Brands whose SEO gap is content quality and specificity, looking for an agency that treats GEO as a natural extension of a content program.

Siege Media produces content at a quality and specificity level that performs in both traditional search and AI citation. Their public GEO thinking emphasizes original research, attributed expert quotes, and specific data as the drivers of AI citation. Content quality is often the real constraint for brands being ignored by AI, and that is where Siege Media specifically executes.

How to Evaluate GEO Agency Capabilities

The clearest proof of a GEO agency worth hiring: they can show you a before-and-after chart of a client's share of voice across a real query set. Methodology slides are not results.

Frequently Asked Questions About AI Brand Mention Tracking

The Right Agency for AI Brand Visibility

AI brand mentions are not an SEO side project. They reflect where your buyers are getting recommendations before they ever run a Google search. The brands being cited are the ones that built their content, authority, and data infrastructure with AI platforms in mind.

The agencies on this list have different client profiles and different execution strengths. The evaluation process itself is revealing: an agency that cannot show you a client's share of voice baseline and trajectory probably does not track it consistently. That is the right first question to ask.