Best AI Visibility Audit Service in Ireland 2026: The Buyer’s Guide

'Best' for an Irish SME choosing an AI visibility audit service is not 'cheapest' or 'most enterprise'. It is the audit whose scope, method, and deliverable match what the buyer actually needs to make a decision about the next 90 days of investment.

BeaconSites uses six evaluation criteria when Lee reviews another provider's audit deliverable for a client:

• Founder-led vs template-driven. Is a named senior practitioner conducting the work, or is a junior account manager running a template through the client's URL?
• Cross-engine coverage. Does the audit test the same buyer prompts across the major AI engines Irish buyers actually use — or does it check only Google?
• Competitor benchmarking. Does the audit identify which specific competitors ARE getting cited on the buyer's target prompts, and what those competitors are doing differently?
• Prioritised remediation roadmap. Does the deliverable rank the fixes by impact and effort, or just list issues generically?
• Written report the client keeps. Does the client walk away with a document they can share with a board, hand to another agency, or act on independently?
• No retainer obligation. Can the client take the report and implement it themselves (or with another partner) without penalty?

The BeaconSites AI Visibility Audit meets all six criteria. Free five-minute automated audits typically miss all but the first. Enterprise consultancy engagements often meet all six but at €3,000+ and with a 90-day contract minimum.

BeaconSites' AI Visibility Audit is a founder-led engagement priced from €299. Every BeaconSites audit combines three components: the BeaconSites AI Visibility Engine (the data instrument that runs the audit across every covered AI engine during the audit period), the BeaconSites Six-Factor Framework (the editorial lens Lee Graham uses to priority-order remediation moves against Perplexity's known ranking factors), and a 30-minute founder findings call with Lee (the walkthrough that ties findings to next moves).

The deliverable is a snapshot PDF report from the BeaconSites AI Visibility Engine PLUS the 30-minute founder findings call. The snapshot report contains:

• Visibility, Rank, and Sentiment headline metrics. The percentage of AI responses that mention the client's brand across the tracked prompt set, the average citation rank when mentioned (lower is better), and the sentiment score of each mention (0-100 scale).
• Prompt Performance table. 20+ buyer-intent prompts scoped during the BeaconSites onboarding call, tracked with per-prompt visibility, sentiment, and rank plus month-over-month change. New prompts flagged as new; declining prompts flagged as decliners.
• Visibility Over Time chart. Daily visibility share for the client plotted against auto-discovered competitor brands over the tracked period.
• Brand Rankings table. Client visibility vs top competitors, with sentiment score, average rank, and change vs previous period. Auto-populates as new competitors appear in AI answers on the target prompts.
• Biggest Movers report. The prompts where the client gained the most visibility and the prompts where visibility fell the most, versus the previous measurement period.
• Sentiment Breakdown. Percentage split of Positive / Neutral / Negative mentions across all AI responses that mention the client.
• Recent Chats view. The actual text of AI answers from ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Google Gemini, Microsoft Copilot (and Claude when included) on each tracked prompt — with the source domains AI cited to construct each answer.
• Most-Cited Domains and Top Cited Pages. Ranked list of the domains and specific pages that appear most frequently across the AI answers for the client's topic. Shows exactly which competing pages are winning the AI citation share.
• On-Page Opportunities. Specific competitor pages cited by AI that the client's site does not currently match, with a recommended page type (Product Page, Category Page, Topic page) to create or improve.
• Off-Page Opportunities. Specific third-party domains AI heavily cites on the target prompts, with a recommended action for each — pitch a new piece to that domain, get featured in an existing high-citation article, or update a shared reference source AI already draws from — to earn placements the client currently lacks.
• Top Themes. Auto-detected term-frequency patterns extracted from AI answer text and cited URLs, showing which topic tokens and source patterns AI engines cluster together for the tracked prompts.
• AI Readiness technical checks. Site-level technical review of AI crawler accessibility, schema markup, semantic HTML, llms.txt presence, and structured-data completeness — conducted by BeaconSites alongside the engine-tracking data.

The snapshot report shows what is happening — where the client is cited, where competitors are cited that the client isn't, which sources AI engines are drawing from. The 30-minute founder findings call is where Lee Graham interprets what competitors are doing structurally that the client isn't — content depth, distribution surface, schema, freshness — and translates that into the prioritised remediation roadmap. No junior account managers, no pre-recorded overview decks read aloud, no upsell theatre.

Total delivery timeline: 7-10 working days from the BeaconSites onboarding call to the founder findings call. For clients who want ongoing tracking after the initial audit, the BeaconSites AI Visibility Monitoring subscription keeps the dashboard live and continues to accumulate data — making it straightforward to produce follow-up snapshots that measure the impact of the remediation moves the client implements. The one-off €299 audit itself is a snapshot in time; the monthly subscription is a separate engagement.

The BeaconSites Six-Factor AI Visibility Audit Framework is the interpretive lens BeaconSites uses when translating audit findings into a prioritised remediation roadmap. The snapshot report shows what is happening. The BeaconSites Six-Factor Framework guides how Lee Graham interprets why, and what to change first. It is grounded in the six factors most consistently identified across GEO industry analyses of Perplexity's ranking algorithm. Per StackMatix's 2026 Perplexity Optimization Strategy — the most widely-cited reverse-engineered breakdown — Perplexity weights sources by approximately these estimated proportions:

• Content Relevance and Semantic Match (~30 per cent). How closely a page's content matches the query intent and covers the topic completely. BeaconSites scores each buyer-prompt result on relevance signal strength.
• Visual Placement and Citation Position (~20 per cent). Front-loaded content earns higher citation placement. BeaconSites reports where the client's content sits in the retrieval order for each prompt.
• Domain Authority and Trust (~15 per cent). Backlinks, brand recognition, publishing history. BeaconSites benchmarks the client's domain-level trust signals against the competitors who ARE being cited.
• Content Freshness and Recency (~15 per cent). Time decay — recently updated content boosted. BeaconSites reports the freshness distribution of the client's pages and flags where refresh cadence is required.
• Source Diversity and Cross-Platform Presence (~10 per cent). Reddit, YouTube, LinkedIn, forums signal broader authority. BeaconSites reports the client's presence across each surface AI engines heavily cite.
• Structured Data and Technical Accessibility (~10 per cent). Schema.org markup, semantic HTML, llms.txt. BeaconSites inspects every relevant page for the JSON-LD schema types AI engines pattern-match against.

The BeaconSites Six-Factor Framework matters because it makes recommendations traceable to factor lifts the client can independently verify. Raw BeaconSites AI Visibility Engine data tells the client where they stand today; the Six-Factor Framework guides how Lee Graham priority-orders the recommended structural investments in the findings call — targeting the factors most likely to move the needle fastest for that client's specific gap pattern.

Whichever provider an Irish SME chooses, a genuine AI visibility audit should cover six deliverable categories. If the provider's proposal misses one, the buyer should ask why in writing before signing.

1. Cross-engine testing scope. The audit should run each buyer prompt across every major AI engine — ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Google Gemini, and Microsoft Copilot as standard scope (plus Claude where the client's buyer audience skews toward Claude-heavy verticals). Testing on one engine (usually ChatGPT) misses the majority of AI-mediated buyer research routing through the other five.
2. Presence and citation analysis. How often is the brand mentioned when AI engines are asked about the industry, products, or services? Which specific websites, reviews, and articles are AI engines using as sources? What is the brand's share of voice against the top three competitors? Where does the brand appear (first mention, middle, buried at bottom)?
3. Content accuracy and sentiment. Does the AI correctly report the brand's offerings, features, pricing, and key personnel? Is the brand described positively, negatively, or neutrally? Is the brand framed as a market leader, cheaper alternative, or niche player?
4. Competitive benchmarking. Which specific competitors are being cited on the buyer's target prompts that the client isn't? What are they doing that the client isn't — richer schema, more third-party citations, higher content freshness, better FAQ architecture?
5. Technical and content foundation. Can AI bots (GPTBot, ClaudeBot, PerplexityBot, GeminiBot) crawl and index the site? Is structured data in place — FAQPage, Organization, Article, HowTo, LocalBusiness where applicable? Are third-party authority signals (awards, reputable citations, consistent web mentions) in place?
6. Prioritised remediation roadmap. Specific fixes, ranked by impact and effort. Not a generic checklist. The roadmap should tell the client which three moves in the next 30 days will produce the largest citation lift and which moves can wait.

Every BeaconSites AI Visibility Audit covers all six. When evaluating any Irish AI visibility audit provider, request their sample deliverable in writing and cross-check it against this list.

The Irish market for AI visibility audits in 2026 has three broad tiers, each fitting a different buyer.

• Free five-minute automated audits (€0). Multiple platforms offer these — typically a URL-scan tool that produces a PDF listing surface-level issues (missing schema, no llms.txt, generic content structure notes). No competitor benchmarking. No cross-engine testing with real buyer prompts. No prioritised roadmap. No human review. Suitable for buyers just curious whether their site is AI-visible at all; not suitable for a business making a real investment decision.
• Founder-led structured audits (from €299 — the BeaconSites tier). The BeaconSites AI Visibility Audit sits here. Fixed scope, transparent pricing, senior practitioner conducting the work, snapshot report deliverable, 30-minute walkthrough with Lee Graham. Suitable for Irish SMEs that need real data before committing to remediation spend, and want a written report they can act on independently or with another partner.
• Enterprise consultancy engagements (typically €3,000+). Typically bundled inside larger digital transformation programmes. Comprehensive but slow (6-12 week delivery), often subsumed into broader marketing operations work, and usually paired with a 90-day contract minimum. Suitable for enterprise brands with multi-country operations and dedicated AI-search line items in the marketing budget.

The middle tier — the BeaconSites tier from €299 — is where most Irish SMEs actually make purchase decisions from. It is priced within a single-month marketing budget, delivered inside two working weeks, and produces the specific data a Managing Director or Marketing Lead needs to justify the next 90 days of AEO investment (or to conclude that AEO investment is not the right priority right now).

A BeaconSites AI Visibility Audit is the right fit for Irish SMEs in one of these situations:

• The business ranks reasonably well on Google but suspects it is invisible on ChatGPT, Perplexity, and the other AI engines its buyers now use for shortlisting.
• Competitors keep appearing in AI-generated answers on target buyer prompts while the client's brand does not — and the client wants specific data on why.
• The business is preparing for a website redesign or rebrand and wants a baseline measurement of the current site's AI visibility before the project begins, so post-launch impact can be measured.
• The Marketing Lead needs written third-party data to justify AEO investment to a board or investor.
• The business is considering a partnership, acquisition, or agency change and wants an independent AI visibility assessment before proceeding.

A BeaconSites audit is NOT the right fit in these situations:

• The business is already dominant across every major AI engine with named brand citations on every relevant buyer prompt — in which case an ongoing AEO Content Creation and Syndication engagement is a better next step than an audit.
• The business has no capacity or intent to act on findings — an audit only pays back when someone is prepared to implement at least the top three recommendations.

Pricing: BeaconSites AI Visibility Audit starts at €299 as a standalone one-off snapshot from the BeaconSites AI Visibility Engine. If the client subsequently engages BeaconSites for a Local Visibility, SEO & AEO or Content Creation & Syndication retainer, the audit fee is credited against the first month of retainer. Ongoing live dashboard tracking is available separately via the monthly BeaconSites AI Visibility Monitoring subscription. Multi-location or enterprise audits are quoted separately.