ChatGPT
Perplexity
Gemini
Google AI Mode

AI Visibility Blueprints for Local SEO Agencies

Not a score. A method.

Traceponse runs real buyer questions across ChatGPT, Perplexity, Gemini, and Google AI Mode, records every answer and the sources it cites, and names the exact evidence gap behind every loss. Built for SEO and marketing agencies.

Actionable, white-labeled insights for your clients.

Request a free audit How it works

AUDIT_CONSOLEv1.0

Built for local businesses across

Dental

Legal

HVAC

Home services

Medspa

Auto repair

Real estate

Veterinary

How we find the gap

Every audit runs through the same four steps, in this order, every time. Nothing skipped, nothing estimated after the fact.

[ 01 ][ 02 ][ 03 ][ 04 ]

scroll to explore v

01 / ASK

We don't send one generic prompt per topic. Each persona built for this specific business gets its own real questions, research, comparison, price, mapped to where they actually are in deciding. That question goes live to the engine exactly as a real buyer would type it, not a guess at what it might say.

That's the shape of it. The full technical breakdown, including how we check crawl access and local listing consistency, lives on the methodology page.

Read the full methodology

Why agencies use this

Evidence, not a score

We don't score you against a black box. We build real buyer personas for this specific business, run their actual questions live, and when a citation is lost, we run the same retrieval-and-rerank comparison these engines use internally, cosine similarity between the business's content and whatever source won, to name the exact missing fact. Not a topic. Not a page. The sentence.

Confidence, not a guess

AI answers change from one run to the next, that's just how these models work. We rerun every query across multiple permutations before we report a change, and every finding carries a stated confidence, not a guess dressed up as fact. Nobody else in this category says that part out loud.

Built to resell

Win the pitch with evidence: show a prospect what ChatGPT, Perplexity, Gemini and Google AI Mode say about their business today, who they recommend instead, and the exact fact their page is missing. Then add AEO to your services under your own brand, with no specialists to hire and no new tool to learn. White-labeled, ranked, and written for your client to read, not a login you have to explain every month.

How Traceponse compares

How Traceponse compares to prompt trackers, one-off reports, and manual checking
	Traceponse	Prompt Trackers	One-Off Reports	Manual
What it's built on	✓Live queries across ChatGPT, Perplexity, Gemini & Google AI Mode, run fresh, not cached.	✓Live queries too, checked on a schedule.	~Live queries, poured into a templated PDF.	✗Whichever engine someone remembers to open.
Persona & question fan-out	✓Personas and questions built around the business's real buying journey, not a generic list.	~Prompt builders and persona tagging exist, you select and maintain the set yourself.	✗A handful of generic, boilerplate prompts.	~Possible, but hours of mapping, and easy to miss a segment.
Evidence Gap Analysis	✓The winning source and the exact missing fact, per lost query, built on the same retrieval-and-rerank layer engines use to decide citations.	~Surfaces the gap at the page or topic level, rarely the exact quoted sentence, per query.	✗Generic “improve your content” copy.	~Possible: pull the transcript and the competitor's page by hand, but no real scoring.
Finds what you didn't think to ask	✓Captures the engine's own sub-searches and checks them against your query set.	✗Not tracked.	✗Not tracked.	✗Invisible without reading raw model traces.
Confidence & noise handling	✓Every query is rerun across multiple prompt permutations before we report a change. Each finding carries a stated confidence, not a guess dressed up as fact.	✗One run, reported as fact.	✗A single snapshot, presented as certain.	~Possible by rerunning by hand, but nobody tracks the variance.
Local listing / NAP consensus	✓Cross-checks name, address & phone as engines state them against the business's own listings.	✗Out of scope.	~Sometimes, one generic checklist line.	~Possible. Costs hours of directory-by-directory checking.
What you hand the client	✓A ranked, evidence-linked brief with before and after rewrites. White labeled and built to resell.	~A login and a chart they have to learn to read.	~A templated PDF, thin on specifics.	~Possible to turn into something presentable, but it's on you to build it.
Real-time alerting & continuous trend tracking	✗Not our lane. Point-in-time audits, compared pairwise on request. No running trend line.	✓Built for exactly this, recurring monitoring dashboards that track visibility over time.	✗Not built for this at all.	~Possible if someone checks daily, but it's just a manual log of what changed.

Not shown: Profound. Real breadth, nine platforms, daily trend dashboards, SOC 2, at enterprise scale and pricing. We trade that for depth: the exact fact a page was missing, per query.

The follow-up audit

Run once as a baseline. Anytime after, a page ships, a listing gets fixed, a quarter passes, rerun it as a follow-up. Same personas, same questions, same competitors: a controlled comparison, not a redo. You get the same headline metrics, which findings resolved, which persisted, and which are new.

Every finding ties back to a real query, a real model response, or a real citation. We report what changed between two audits. We do not claim which fix caused it. That is the same discipline we would want from anyone auditing our own work.

For agency partners

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