Is an AI search audit the same as an SEO audit?

No. SEO audits focus on crawl, indexing, ranking and traffic. AI search audits also track mention, citation, answer structure, sources and competitor presence.

How many keywords should we test?

First round, 15-30 P0 queries. More keywords mean more audit, content and re-test work, but better statistical confidence.

Why archive raw AI responses?

AI answers fluctuate. Without raw archives you cannot tell whether a later improvement is real lift or random.

No. GEO is iterative — at minimum you want T0, T1, T2, T3 comparison rounds.

Does the audit lead straight into content production?

Usually not. First decide whether site capture pages are clean, then decide on off-site distribution channels.

mingde.ai/Knowledge/№ 15

№ 15April 2026 · 8 min read

How to Run an AI Search Optimization Audit — Phase 0 Baseline, Source Mapping, Review Cadence

An AI search audit starts with a Phase 0 baseline — run a long-tail set across major AI platforms, record mentions, citations and sources, then decide whether to fix the site or distribute first

ByMingde Team

Direct Answer

An AI search audit doesn't start with writing content. It starts with a Phase 0 baseline — run a set of long-tail queries across Doubao, DeepSeek, Tongyi, Kimi and similar platforms, record mention, citation, third-party sources and competitor positions. Only after that baseline exists can you decide site capture pages, distribution, and review cadence.

Who This Piece Is For

✓ Fits you if

—Companies trying to know whether GEO is producing results
—Teams ready to run AI search optimization but unsure where to start
—Service providers who need to explain audit methodology to clients
—Leads who finished one round and don't know whether to fix the site or distribute next

✗ Skip for now if

—Companies whose core service or product isn't yet defined
—Teams unwilling to keep a structured record (single audits are limited use without iteration)

Quick Check

Decision tree after the audit (find the row, take the action)

Core pages aren't indexed

→ Fix crawl, sitemap, internal linking first

Indexed but AI never mentions

→ Strengthen off-site sources and brand co-occurrence

Mentioned but not cited

→ Add citable pages — FAQs, evidence, structure

Cites third parties but not your site

→ Reinforce first-party authority pages

AI is hallucinating brand facts

→ Run brand entity disambiguation and fact consistency

An AI search optimization audit doesn't start with writing content. It starts with a Phase 0 baseline.

Most teams jump straight into site rewrites and content publishing, then discover they cannot tell whether anything changed because there is no T0 to compare against. The audit fixes that.

1. What Phase 0 records

The audit isn't "is the answer pretty?" — it is what is recordable and comparable.

For each long-tail query, capture at minimum:

The query (specific to industry + question — avoid head terms)
The AI platform (Doubao / DeepSeek / Tongyi / Kimi — at least 4 platforms)
Raw answer (markdown or screenshot)
Mention y/n
Mention position (first / top-3 / tail / footnote)
Citation y/n
Third-party sources cited (URL list)
Competitor appearances (brand + position)
Answer structure (list / paragraph / table)
Hallucination risk (factual errors?)
Next action (fix site / publish off-site / fix brand entity)

Mention and citation are different signals — keep them in separate columns. See AI mention vs. citation.

2. Why source mapping comes first

Without seeing which sources AI is currently pulling from, channel decisions are guesswork.

In our Phase 0 data, AI search results for GEO-related questions repeatedly cite CSDN, Zhihu, Sohu, Toutiao, Douyin, Tencent Cloud and Aliyun developer communities. That isn't universal — but it is a useful first-pass priority.

Source mapping yields a table:

Query	AI's most-cited source	2nd, 3rd source	Our current content there
Query 1	CSDN	Zhihu / Sohu	0 / 0 / 0
Query 2	Zhihu	Tencent Cloud / CSDN	1 / 0 / 0

This table tells you exactly which platform to publish on next, instead of pouring effort into channels AI doesn't retrieve from.

3. Decision tree after the audit

Each finding maps to a different next action:

Finding	Next action
Core pages not indexed	Fix crawl / sitemap / internal linking
Indexed but never mentioned	Strengthen off-site sources and brand co-occurrence
Mentioned but not cited	Add citable pages — FAQs, evidence, structure
Cites third parties but not your site	Reinforce first-party authority pages
Hallucinating brand facts	Run entity disambiguation and fact consistency

Each branch has its own work estimate, ranging from 1-2 weeks to 4-6 weeks. For specifics on which pages to rewrite first, see Which pages should AI search redesign hit first.

4. Review cadence (T0 / T1 / T2 / T3)

A single audit doesn't show a result. The standard cadence:

T0 — before changes: establish the baseline (the 11 columns above)
T1 — site changes + 7-14 days: re-run the same queries, watch indexing and mention
T2 — off-site posts + 7-21 days: re-run, watch citation and source diversity
T3 — full round + 3-6 weeks: complete re-test, compare against T0, generate the next iteration list

Same Phase 0 sheet at every checkpoint. The comparison is then automatic. If T1 mentions don't move, the bottleneck is usually answer-first capture. If T2 citations stay zero, the bottleneck is off-site source pool reach.

5. When to run a second audit

The first Phase 0 answers "where are we now." Second-round triggers:

A T0-T3 round is complete and you're planning the next quarter
Major business change (new product line, new industry, brand refresh)
Competitive landscape shifts and AI answers reorder
A brand hallucination event needs full sweep

Sample size can flex with budget. The 11-column structure stays constant — that's what makes cross-period data comparable.

6. Standard audit deliverables

Our GEO audit hand-off:

Phase 0 baseline table (30 P0 queries × 4 platforms)
Source mapping table (AI's most-cited sources per query)
Decision tree (finding → next action)
Site capture page rewrite list (priority-sorted)
Off-site distribution channel priority
T1 / T2 / T3 review cadence proposal
Risks & limitations (which data is provisional this round)

Typical turnaround: 3-5 days. This is the GEO project's actual starting point.

If you're preparing a GEO round but don't yet have a Phase 0 baseline, book a free AI visibility audit — we'll start by sketching 30 P0 long-tail queries against your industry.

Boundary Conditions

Common pitfalls / when not to do this

✗ 01

Treating an AI search audit like an SEO audit (different inputs, different outputs)

✗ 02

Testing only 5 keywords (sample too small — answers vary, use 15-30 P0 queries)

✗ 03

Failing to archive raw AI responses (you'll lose the ability to compare later)

✗ 04

Going from one audit straight into mass content production (likely wasted on channels AI doesn't index)

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