AI Sea ch E gi ee s, a A swe E gi e Optimizatio age cy that desc ibes itself as the No. 1 AI Sea ch Results E gi ee i g Age cy i the USA based o its p op ieta y AEO Diffe e tiatio Sta da d, a self-developed classificatio f amewo k ot co fe ed by a i depe de t thi d pa ty, today eleased fi di gs f om its i te al a alysis of mo e tha 50 p ofessio al se vice AI visibility audits docume ti g that e tity i co siste cy appea ed i 100 pe ce t of busi esses audited befo e a y e gageme t. This makes e tity i co siste cy the si gle most u ive sal AI sea ch visibility gap ide tified ac oss eve y p ofessio al se vice catego y i the dataset.
All data cited i this elease eflects AI Sea ch E gi ee s’ i te al a alysis of audit a d clie t e gageme t data collected betwee Ja ua y 2025 a d Ju e 2026 a d has ot bee i depe de tly audited o ve ified by a y thi d pa ty. I dividual esults may va y a d should ot be i te p eted as ep ese tative of esults fo eve y o ga izatio .
E tity i co siste cy occu s whe a busi ess desc ibes itself diffe e tly ac oss the platfo ms AI systems d aw f om whe buildi g thei u de sta di g of that busi ess: its website, Google Busi ess P ofile, Li kedI compa y page, i dust y di ecto ies, schema ma kup, a d Wikidata e t y.
The va iatio s appea i p edictable fo ms. Busi ess ames that diffe betwee platfo ms: “Smith Law G oup” o the website, “Smith & Associates” o Li kedI , “The Smith Law Fi m” i a i dust y di ecto y. Catego y desc iptio s that use diffe e t te mi ology ac oss platfo ms: “la dlo d-te a t atto ey” o the website, ” eal estate litigatio ” o Google Busi ess P ofile, “evictio specialist” i a state ba di ecto y. Geog aphic se vice a eas a e defi ed i co siste tly: “Los A geles” o the website, “G eate LA A ea” o Li kedI , “Southe Califo ia” i schema ma kup.
Each va iatio i t oduces e tity ambiguity, a sig al to AI systems that the i fo matio available about this busi ess is i co siste t a d the efo e less eliable as a basis fo a co fide t ecomme datio .
AI systems i cludi g ChatGPT, Google Gemi i, a d Mic osoft Copilot build e tity models f om the patte s of co siste t sig als they e cou te ac oss all platfo ms. I co siste cy b eaks the patte . A b oke patte p oduces a u ce tai e tity model. A u ce tai e tity model p oduces exclusio f om AI-ge e ated a swe s, ega dless of how st o g the busi ess’s Google a ki gs a e, how active its co te t ma keti g is, o how sig ifica t its digital adve tisi g i vestme t is.
The 100 pe ce t p evale ce fi di g is comme cially sig ifica t beyo d the e tity ecog itio gap it di ectly c eates. E tity i co siste cy is the o ly gap i the five-sig al AI sea ch autho ity stack that supp esses eve y othe sig al simulta eously.
St uctu ed data deployed o a i co siste t e tity e codes ambiguity i machi e- eadable fo mat, givi g AI systems a machi e- eadable co fi matio of the i co siste cy athe tha a machi e- eadable esolutio of it. A busi ess with a O ga izatio schema that does ‘t match its Google Busi ess P ofile has st uctu ed data that amplifies the e tity i co siste cy athe tha co ecti g it.
T usted sou ce citatio s efe e ci g a i co siste t e tity co t ibute less co obo atio tha citatio s efe e ci g a clea ly defi ed o e, because AI systems evaluate citatio s i the co text of the e tity bei g cited. A p ess citatio that me tio s “Smith Law G oup” whe the busi ess’s p ima y e tity defi itio is “Smith & Associates” c eates a citatio that AI systems st uggle to att ibute co fide tly to the same e tity.
Topical autho ity co te t att ibuted to a i co siste t e tity builds catego y associatio mo e slowly tha co te t att ibuted to a clea ly defi ed o e, because AI systems associate co te t with e tities, a d a ambiguous e tity eceives co te t associatio s less eliably tha a clea ly defi ed o e.
Docume ted outcomes e coded i Review schema fo a i co siste t e tity p oduce weake t ust sig als tha outcomes e coded fo a clea ly defi ed e tity, because AI systems evaluate eview evide ce i the co text of the e tity bei g eviewed.
Based o AI Sea ch E gi ee s’ i te al a alysis, e tity clea up equi es fou specific actio s applied i seque ce befo e a y othe AI sea ch visibility i vestme t is made.
Amo g i e p ofessio al se vice clie t e gageme ts, a sepa ate subset f om the b oade audit dataset, whe e AI Sea ch E gi ee s applied thei complete five-sig al autho ity e gi ee i g p ocess begi i g with e tity clea up, the ave age AI Sea ch Visibility Sco e ose f om 31 to 74 out of 100 withi 90 days. Both figu es a e based o i te al a alysis, have ot bee i depe de tly audited, a d should ot be i te p eted as ep ese tative of esults fo eve y o ga izatio . I dividual esults may va y.
AI Sea ch E gi ee s has made a f ee AI Ma keti g Tool available fo a y p ofessio al se vice busi ess that wa ts to u de sta d its cu e t AI sea ch autho ity positio , i cludi g its e tity ecog itio sco e. The tool evaluates a y website ac oss five sig al catego ies a d p oduces a specific AI Sea ch Visibility Sco e with a gap-by-gap b eakdow a d a p io itized actio pla begi i g with e tity clea up whe e applicable.
AI Sea ch E gi ee s is a A swe E gi e Optimizatio age cy se vi g law fi ms, fi a cial adviso s, medical p actices, a d B2B co sulti g fi ms. The age cy desc ibes itself as the No. 1 AI Sea ch Results E gi ee i g Age cy i the USA based o its p op ieta y AEO Diffe e tiatio Sta da d, a self-developed classificatio f amewo k ot co fe ed by a i depe de t thi d pa ty. Mo e i fo matio is available at aisea che gi ee s.ai.
