AI Search Visibility

AI Visibility Audit

A 30-day, fixed-price sprint to map your AI citation footprint, fix the entity and schema gaps, and put a before/after report in front of your board.

The short answer

An AI Visibility Audit is a one-time diagnostic that runs your brand against the major generative engines — ChatGPT, Gemini, Claude, Perplexity, Bing Copilot, Google AI Overviews — using a structured prompt set across your category. The output is a scored report covering presence, sentiment, accuracy and competitive share-of-voice in answer-engine responses, plus a remediation roadmap to lift each metric. Clickate runs audits for Nigerian and global brands ranging from fintechs and healthcare providers to consumer brands and B2B SaaS.

What's included

  • Citation audit across 5 AI engines
  • 30-prompt brand-specific tracking set
  • Schema & llms.txt implementation
  • 10 citation-ready content fixes
  • Before/after citation report
How we work

Our process

4 steps from brief to result. Proof-of-execution at every handoff.

  1. Discovery

    30-prompt tracking set built for your market

  2. Baseline

    Citation snapshot across ChatGPT, Gemini, Perplexity, Copilot, AIO

  3. Implement

    Entity, schema, llms.txt and content fixes

  4. Re-baseline

    Re-check and board-ready citation report

Why this audit is different from an "SEO audit"

Traditional SEO audits look at rankings, keywords, technical health and backlinks. They do not tell you whether ChatGPT names you when asked for the best Nigerian fintech, or whether Perplexity correctly describes what your product does. Those questions are now first-order important for any brand selling to Nigerian decision-makers who increasingly use generative engines before they ever type into Google. The Visibility Audit answers them with the same rigour traditional SEO answers its older questions - structured prompts, multiple runs, careful scoring, and a remediation plan you can execute.

What a typical audit finds

Roughly seventy percent of brands we audit are mentioned in less than thirty percent of relevant queries - meaning the engines name competitors instead. Roughly forty percent have at least one significant factual error appearing across multiple engine responses (wrong product description, outdated leadership name, incorrect headquarters location). Almost all have at least three remediation opportunities that would lift presence meaningfully within a quarter. The audit pays for itself when you compare it to the pipeline value of being named in five percent more relevant queries - a conservative target for most engagements that follow the remediation roadmap.

Book your AI Visibility Audit

Ninety-minute scoping call this week, full results within ten working days.

Methodology

How we actually do it

  1. Real prompts, not synthetic ones

    The prompts we test reflect how Nigerian buyers actually ask — Pidgin-leaning where relevant, with local context, with the kind of imperfect phrasing real searches contain. Synthetic prompts written to "test the system" give artificial results.

  2. Multiple runs per prompt

    Generative engines are non-deterministic. The same query at different times gives different answers. We probe each prompt multiple times and average, so the result is statistically meaningful rather than a single capricious snapshot.

  3. Citations matter as much as mentions

    Even when your brand is not directly named, the URLs the engine cites to compose its answer reveal who is shaping the narrative in your category. We map those citations because winning them is the leverage point.

  4. Honest scoring

    We do not soften findings. If your brand is invisible in your category, the report says so on page one. The remediation roadmap is then about earning that visibility back.

Fit check

Who this is for - and who it isn't

Brands suspicious of AI-driven discovery

You have noticed pipeline shifts you cannot explain through traditional channels and want to know what AI engines are saying about you.

Boards evaluating AI strategy

Leadership wants a defensible baseline measurement before approving investment in AI visibility work.

Brands targeted by competitor narratives

You suspect a competitor is being preferentially recommended by the engines and want evidence.

PR firms supporting Nigerian clients

Agencies reselling the audit to their clients with our white-label option.

Outcomes

What you actually get back

Baseline measurement for ongoing AI visibility programmes

Every subsequent quarter, the audit can be re-run with the same methodology to measure improvement.

Specific, actionable remediation list

Not "improve your content" but "create these eight specific assets, update these four schema blocks, earn placements in these six publications".

Board-presentable evidence

A deck-ready summary you can take to leadership to justify ongoing investment in AI search optimisation.

Packages

Pricing & what you get

Related services

Often paired with this

FAQ

Frequently asked questions

What is the difference between SEO and GEO?
SEO ranks pages in search engine results. GEO - Generative Engine Optimization - makes your brand the entity that AI engines (ChatGPT, Gemini, Perplexity, Google AI Overviews) cite when answering buyer questions. GEO requires schema, entity work, llms.txt, and digital PR - not just content.
How long does the AI Visibility Sprint take?
Thirty days, fixed price. You receive a citation audit across five AI engines, schema and llms.txt implementation, ten citation-ready content fixes and a before/after citation report.
Can I track AI citations monthly?
Yes - we maintain a 20–30 prompt tracking set for each retained client and report monthly on engine-by-engine citation outcomes.
Why are most Nigerian brands invisible in ChatGPT?
Three reasons: (1) no entity record on Wikidata or .ng publications, (2) no schema markup or llms.txt on the site, (3) thin content that doesn't answer the prompts AI engines paraphrase. We fix all three.

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