Know where you stand before you spend on fixing it
A one-off audit that runs a real prompt panel across ChatGPT, Gemini, Perplexity and Copilot, checks the entity and crawler signals behind the answers, and hands you a prioritised roadmap. No guaranteed-placement claims — just a credible baseline.
Prompt panel · "best {category} agency for {city}"
3 of 4 assistants named a competitor first — none cited your pricing or methodology pages.
What is an AI visibility audit?
An AI visibility audit is a one-off diagnostic that measures whether your brand is mentioned, cited and accurately described when buyers ask ChatGPT, Gemini, Perplexity and Copilot category questions — then explains exactly why, and what to fix first.
Unlike a retained programme, the Digital Otters audit is a fixed-scope engagement built for teams who need a credible baseline before committing budget. Most clients convert their roadmap into a scoped programme; some hand it straight to an in-house team instead. It runs alongside our ChatGPT Visibility and Gemini & Perplexity Visibility work, under the AI Search Visibility programme.
Six deliverables, one fixed-scope engagement
A prompt set built around how your real buyers ask — not generic keywords — mapped to their actual research stage.
The panel run against ChatGPT, Gemini, Perplexity and Copilot, with mentions, citations and named competitors logged per platform.
Whether your Knowledge Graph entity, structured data and cross-web facts are clean and consistent enough to be cited with confidence.
Checking that each assistant's crawler can actually reach, render and parse the pages you need cited.
Where competitors are being cited instead of you, and what evidence or third-party mentions are missing.
A ranked action list by effort and impact, walked through live with your Digital Otters team.
How the audit runs
The exact schedule depends on access, but a typical engagement moves from scope to a delivered roadmap in about three weeks.
- Week 1Scope & panel design
We confirm your category, markets and real buying questions, then build the prompt panel and lock the baseline methodology.
- Week 1–2Baseline testing
The panel runs across ChatGPT, Gemini, Perplexity and Copilot. Every mention, citation, competitor and inaccuracy gets logged.
- Week 2Technical & entity audit
Schema, crawler access, Knowledge Graph signals and third-party corroboration reviewed against what the assistants actually use.
- Week 3Findings call & roadmap
You get the full report plus a live call through what's working, what's costing you visibility, and what to fix first.
Run these before your call with us
Copy one into ChatGPT, Gemini and Perplexity and see who gets named — the Digital Otters audit turns this into a structured, repeatable panel.
Fill these in and every prompt updates as you type.
“What's the best {industry} agency in {city} for a mid-size business?”
“Compare Digital Otters to other {service} agencies in {region}.”
“What should I look for when hiring a {service} agency?”
“My {industry} business isn't showing up in AI search results — what's wrong?”
“Who are the top-rated marketing agencies near {city}?”
“What do you know about Digital Otters and what do they specialise in?”
Four numbers, scored per assistant
How often your brand appears at all across the prompt panel, per assistant.
How often your actual pages get linked, not just your name mentioned.
Where you land among the sources each assistant chooses to cite.
Your mentions versus named competitors, recorded at this baseline.
One fixed-scope engagement, one clear price
No agency can guarantee an assistant's output — the systems are non-deterministic and change without notice. What Digital Otters can do is put a credible, repeatable baseline in front of you, with a roadmap ranked by effort and impact.
If you choose to continue, the findings roll straight into a retained programme — ChatGPT Visibility, Gemini & Perplexity Visibility, or a custom multi-market scope. Nothing about the audit locks you into that.
Read more about ChatGPT Visibility, Gemini & Perplexity Visibility and Generative Engine Optimization, or start with the AI Search Visibility overview.
For teams who need to know where they stand before committing budget.
- Prompt set built for your category
- Baseline run across four assistants
- Entity and schema audit
- Crawler access review
- Prioritised roadmap and findings call
Where the roadmap goes next
The full cross-platform strategy the audit feeds into.
Explore Sibling serviceChatGPT VisibilityThe most-used assistant, with its own ranking mechanics.
Explore Sibling serviceGemini & Perplexity VisibilityGoogle's assistant and the always-cited research engine.
Explore ImplementationAnswer Engine OptimizationThe retained programme most audit roadmaps turn into.
Explore ImplementationGenerative Engine OptimizationTurns audit findings into eligible, citable content.
Explore FoundationSEO ServicesIndexed authority still feeds most assistants' answers.
ExploreWhat engineers and heads of growth ask us
Send the URL, the platform and what changed. You get a written technical read from the person who would run the audit.
Ask a questionWhat is the difference between an audit and ongoing technical SEO?
An audit is a point-in-time diagnosis with a prioritised backlog. Ongoing work supports implementation, reviews new templates before release, QAs staging, monitors regressions and keeps the backlog current as the site changes. Most teams need the audit once and the ongoing support during a period of heavy development.
Can you work with Next.js, Nuxt, Remix or a custom SPA?
Yes. We review source HTML, rendered output, routing, metadata timing, canonical behaviour, streaming, caching and deployment patterns. Recommendations differ depending on whether rendering is static, server-side, streamed or client-side — we scope after seeing how your app actually renders, not from the framework name.
Do you fix the issues or only report them?
Either. For client-controlled codebases we write implementation tickets with acceptance criteria and work alongside your developers, including PR review. Where the CMS and scope allow, we implement directly and validate the release ourselves.
How long does a technical SEO audit take?
A small marketing site is one to two weeks. Large ecommerce, marketplace or international sites take three to six, because findings have to be segmented by template, market and business impact — and because log-file analysis needs a full 30-day window to be meaningful.
Can technical SEO recover traffic lost after a migration?
It can resolve migration-caused problems: missing or chained redirects, changed canonicals, blocked resources, altered architecture, indexation errors. Recovery also depends on how long the problems persisted and whether content, links or demand changed at the same time. We tell you which of those we can see in the data before quoting.
Is Core Web Vitals a ranking factor?
Page experience is one input among many, and a weak one relative to relevance. We improve field vitals because speed and stability affect conversion and crawl efficiency as well as search — not because one score is a strategy. Anyone selling a 100 Lighthouse score as an SEO plan is selling the wrong thing.
How much does a technical SEO audit cost?
It moves with URL count, template variety, JavaScript complexity, international or ecommerce features, whether log-file analysis is in scope, and how much implementation support you need. Starting points are on this page; we review the site before proposing a scope.
Does technical SEO affect ChatGPT, Copilot and AI search?
At the eligibility level, yes. Search-connected AI systems depend on crawlable, indexable, well-structured content. Robots rules, CDN and WAF access, canonicalisation, internal links and clear textual HTML all affect whether your content can be retrieved at all. No agency can guarantee citation — but being unfetchable guarantees the opposite.
Find out what four assistants say about you
Send Digital Otters your domain and the buying questions your customers actually ask. We'll come back with a scope, a fixed price and a start date — usually within one business day.
