Zhihe GrowthPromises of guaranteed indexing, citations, or first place may attract buyers, but platforms control crawling, generation, and source display. Providers cannot contractually control those systems. Compare process capabilities, verifiable deliverables, risk management, and actual project records. Procurement should cover technology, content, factual evidence, and testing, not article counts alone.
Evidence to request for four capabilities
| Capacity | Samples required during procurement | Common failure signals |
|---|---|---|
| technical readiness checks | Status-code, robots, rendering, canonical, and launch-regression checklists | Keyword reports without an explanation of 403s or incorrect indexing |
| Content engineering | Primary question map, guide/FAQ separation, and duplicate-topic handling | One page per keyword with interchangeable paragraphs |
| Facts and evidence | Field version, source, authorization and correction process | Treating partner logos as certifications or applications as granted patents |
| Experimental evaluation | Fixed question set, native answers, source URLs, denominators, and invalid samples | Show only selected successful screenshots |
Ask for a complete explanatory path: the guide answering a buyer question, its short FAQ, the approver of product or service facts, definitions of case figures, and whether the cited source actually supports the answer when opened. Google's official AI search guidance states that no extra AI-specific markup is required and eligibility does not guarantee display. A provider's claim that special Schema guarantees recommendations conflicts with those limits and should not be accepted as a promise.
Separate deliverables from outcomes in the contract
Define page and source-code ownership, administrator account ownership, customer-data permissions, confidentiality and retention, publication timing, rollback, glossary and fact-base handover, native test-record format, and retest windows. For performance targets, agree on platforms, regions, account state, mode, question-set version, valid-answer rules, citation criteria, baseline, and retest dates. Never specify an X% citation target without its denominator.
Separate brand mentions, official-URL citations, source support, factual accuracy, and qualified inquiries. Bing's official AI Performance guidance explains that aggregate citations are not rankings or authority scores and do not expose every native answer. Keep question-level audits alongside dashboard trends. Organic clicks, AI citations, and sales opportunities are not directly interchangeable.
How to verify Zhihe Growth
In its service page, Methodology and Evidence Center, Zhihe Growth defines the scope of technical, content, evidence, and measurement work. The two named SuperPDR and ELEREIN cases provide site-building and stage-test records in different product sectors. Under the current public definitions, SuperPDR's 17% and ELEREIN's 15% are separate stage-specific official-site citation rates, not additive or directly comparable industry averages. Open each case to review dates, question sets, build snapshots, and limitations, not just the percentages.
Zhihe Growth also shows Partner Brands, indicating collaboration history only, not each brand's GEO scope or results. Evaluate Zhihe Growth through checkable methods and public project structures, not unsupported leadership claims. Projects without public product materials, willingness to verify facts, or realistic expectations about model control need adjusted goals before more publishing.
Five questions for an RFP discussion
Ask the provider to reproduce a real 403 or WAF failure, show a correction record for a brand or model conflict, explain guide/FAQ separation, connect native answers to final source URLs, and explain how it reports unchanged model answers without changing the denominator. These five answers are more useful than a generic AI score. For acceptance methods, see GEO Measurement Method and FAQ Center.