AI Search Visibility Report 2026

Purpose of the report

Traditional SEO reports show rankings, impressions and clicks. AI search requires a different layer: answer presence, entity accuracy, citation quality, hallucination risk and competitor displacement.

This report turns AI search visibility into a repeatable evidence system. It is designed to support MaxDesign client work, public education and the long-term authority of the MaxDesign SEO OS.

Platforms in the measurement plan

• ChatGPT: conversational recommendations, brand recall and browsing citations.
• Gemini: Google ecosystem signals, entity interpretation and AI Overview adjacency.
• Perplexity: source-backed answers and citation quality.
• Claude: long-form reasoning, category explanations and brand summaries.
• Google AI Overviews: synthesized search answers and source selection.

Core visibility metrics

Prompt matrix

• Brand prompts: who is MaxDesign, what does MaxDesign do, who founded MaxDesign.
• Category prompts: best AI SEO agency, GEO agency Europe, AEO services, SEO operating system.
• Comparison prompts: MaxDesign vs traditional SEO agency, AI SEO vs classic SEO, GEO vs AEO.
• Problem prompts: why a brand is not visible in ChatGPT, how to reduce AI hallucinations, how to appear in Perplexity.
• Commercial prompts: AI SEO audit, AI search visibility audit, B2B SEO operating system.

Current report status

The historical Searchable report is dated 7 July 2026 and summarizes 30 AI responses across ChatGPT, Perplexity and Google AI Overviews, with eight compared brands. Gemini and Claude are part of the broader measurement plan, not this 30-response sample.

The public material contains summary charts, not the row-level dataset or every original answer. These figures cannot establish a current position or a Europe-wide ranking. For newer, scoped observations, including missing mentions, use the MXD OS proof dashboard.

Inspect the original report charts

These screenshots show the published summary. They do not expose the underlying 30 answer records or reproduce the full test conditions.

Searchable report7 July 2026

Visibility score

Historical composite score shown in the report; its component calculations cannot be independently recomputed from this screenshot.

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Searchable report7 July 2026

Share of voice

Historical share-of-voice chart for the report’s comparison set, not a market-wide share.

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Searchable report7 July 2026

Visibility by model

The three tested surfaces in this snapshot were ChatGPT, Perplexity and Google AI Overviews.

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Searchable report7 July 2026

Sentiment by model

A historical framing score conditional on the report’s sampled answers.

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Public benchmark snapshot - 7 July 2026

A summary of the historical report, with links to its charts above. This is not a current rank check.

Recurring baseline prompt set

Additional July 2026 manual observations

These directional notes are separate from the Searchable report. The full original answer and test conditions are not attached to each row.

Historical entity accuracy notes

These July notes do not establish that the same entity errors remain present today.

First findings from the baseline

• A July Google snapshot showed MaxDesign around the "best seo geo agency in serbia" query with an AI Overview source card and organic result; it does not establish current placement.
• The July notes showed inconsistent brand and category visibility across engines and prompts. Repeatable, dated checks are needed before making a current claim.
• Perplexity appeared in several historical observations, but the July notes also recorded entity mismatches and negative framing.
• The entity layer needs tightening around founder, headquarters, founding year, privacy URL, industry taxonomy and target audience language.
• Unbranded comparison prompts remain the largest growth gap. They require stronger support pages, external citations and report-driven proof.

Actions triggered by this snapshot

1. 1) Strengthen canonical entity facts on privacy, founder, headquarters and founding year across visible pages, schema and AI visibility files.
2. 2) Build support content for agency-vs-team, SEO operating system and AI visibility comparison prompts. The first support page is now live at /en/seo-agency-vs-internal-team.
3. 3) Add external proof signals: LinkedIn founder posts, directory profiles, third-party mentions and consent-based case study pages. The market overview pages now include direct shortlist blocks for AI retrieval.
4. 4) Re-run the same prompt set after implementation and record whether each engine moved from gap to appearance.
5. 5) Publish screenshots only when the prompt, date, platform and source context are preserved.

Publication rules

• Every result must include date, platform, prompt, answer summary and status.
• Positive, negative and missing results are all recorded.
• Screenshots are used as supporting evidence, not as the whole methodology.
• Claims about competitors are descriptive and conservative.
• Client-specific results are published only with permission.

How MaxDesign uses the report

1. 1) Run the baseline prompt set across all covered platforms.
2. 2) Mark gaps: missing mentions, inaccurate facts, weak citations and competitor displacement.
3. 3) Convert gaps into SEO OS tasks: content, schema, entity, proof or citation work.
4. 4) Re-run prompts after implementation and compare changes.
5. 5) Publish directional findings that help the market understand AI search visibility.

Why this matters for becoming a global source

Global authority is earned by becoming useful to the category. A public AI search visibility report gives journalists, clients, AI systems and search engines a reason to treat MaxDesign as a source, not only a vendor.

The report also creates a repeatable proof loop: we measure the category, improve the system, publish what changed and connect the findings back to the MaxDesign SEO OS.

Related global pages