AEO ka fɛɛrɛ SaaS kama : fɛɛrɛ 6 minnu bɛ mɔgɔ kɔnɔnafililenw sɛmɛntiya ka kɛ kɔrɔbɔliw ye

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AEO fɛɛrɛ min bɛ SaaS kama, o tɛna yɔrɔ jan kojugu SEO fɛɛrɛ ɲuman na, nka fɛɛrɛ dɔw bɛ nafa don AI ɲinini na ka tɛmɛ dɔw kan, wa a bɛ dɛmɛ k’a dɔn ninnu ye mun ye. An bɛɛ b’a dɔn ko AI ye fɛn caman Changé cogo min na markaw bɛ yecogo sɔrɔ, ani cogo min na yecogo tɛ bɛn klikɛliw ma. Nka SaaS ta fan fɛ, sannikɛlaw bɛ sɔrɔli ni jateminɛ kɛ cogo min na, o b’a jira ko fɛn caman Changé (Yɛlɛma) cogo min tɛ bɛn. A tɛ se ka kɛ tugun ka jɔyɔrɔ ɲuman sɔrɔ ɲinini jaabiw la; fɛn dilannen, a taamasiyɛn dɔnniya, ani danfara ka kan ka faamuya ani ka bɔ kɛnɛ kan ka ɲɛ ni AI-driven systems ye, kɛrɛnkɛrɛnnenya la sannikɛla ka sɔrɔli ni a jateminɛ waatiw la. Nin gafe in kɔnɔ, n b’a jira cogo min na SaaS ekipuw bɛ se ka ɲɛtaa kɛ AEO ye. N y’a jira mun na AEO ka fɛɛrɛbɔ nafa ka bon SaaS bolo, fɛɛrɛ minnu ka kan ka bila jɔyɔrɔ fɔlɔ la, ɲɛtaa nɔfɛtaamacogo, ani baarakɛminɛn minnu bɛ AEO fɛɛrɛ nɔgɔya. Tablo kɔnɔkow Mun na AEO nafa ka bon SaaS Sosiyetew bolo. AEO ka fɛɛrɛbɔ ye SaaS sosiyetew ye. AEO for SaaS: Fɛɛrɛw walasa ka ɲɛtaa nɔfɛtaama. AEO Baarakɛminɛn ɲumanw SaaS Jagokɛlaw ka Jɛkuluw ye Ɲininkali minnu bɛ kɛ tuma caman na AEOf walima SaaS kan. Mun na AEO nafa ka bon SaaS Sosiyetew bolo. Jaabi-minɛn minnu bɛ baara kɛ ni AI ye, olu jɔyɔrɔ ka bon sisan SaaS sannikɛlaw bɛ porogaramuw sɔrɔ cogo min na ani k’u jateminɛ. Responsive ka ɲinini, n’o ye Inside the Buyer’s Mind ye, o y’a jira ko B2B sannikɛlaw bɛ feerekɛlaw sɔrɔli daminɛ ni AI chatbots generatives ye waati 32%, n’i y’a suma ni 33% ye laadala ɛntɛrinɛti ɲinini fɛ. Ni SaaS bɛ danfara la, o jiginni bɛ ye ka tɛmɛn fɔlɔ kan. SaaS sannikɛlaw kɛrɛnkɛrɛnnenya la, 56% b’u ka feerekɛlaw ka ɲininiw daminɛ sisan AI baarakɛminɛnw kan minnu bɛ se ka mɔgɔw lawuli. SaaS taamasiyɛnw bɛ farati la cogo bɛnbali la ka sababuw tiɲɛ n’u ka taamasiyɛnw ma jira AI ɲinini na. Source (Sɔrɔyɔrɔ). Jaabi-minɛnw tɛ i n’a fɔ ɲininikɛlaw ka laadalakow, u tɛ ɲɛw sigiyɔrɔma dɔrɔn. U bɛ dɔnniyaw lajɛ ka bɔ ɛntɛrinɛti yɔrɔ walima dɔnniyada la, ka sugandiliw suma ɲɔgɔn na, ani ka ladilikanw bɔ kɛnɛ kan k’a ɲɛsin ɲininikɛla ma ani o bɛɛ bɛ AI kɔnɔna na. O kɔlɔlɔ : Ni taamasiyɛn dɔ ma fɔ ɲinini jaabiw kɔnɔ minnu bɛ ɲɛminɛ AI fɛ, sannikɛlaw bɛ se ka kɛ minnu ye, olu bɛ ɲinɛ o taamasiyɛn kɔ k’a sɔrɔ u bɛ ka feerekɛlaw ka lisi surun dɔ sigi sen kan ; sosiyetew bɔra boli la a daminɛ na, wa hali u tɛna se ka se jateminɛ walima kɔrɔbɔli dɔ la. AEO ka fɛɛrɛbɔ ye SaaS sosiyetew ye. Fɛɛrɛ minnu bɛ duguma, olu bɛ yɔrɔ minnu jira SaaS ekipuw ka kan ka jigin siɲɛ fila AEO kama. U kelen-kelen bɛɛ bɛ ɲinini kɛcogo laadalata dɛmɛ, nka min nafa ka bon kosɛbɛ, o ye dɔ fara u ka se ka bɔ kɛnɛ kan, ka ɲɛsin u ma, ani ka da u kan jaabi-minɛnw fɛ waati minnu na ŋaniya ka bon sanni taama na. 1. Aw bɛ se ka yecogo ɲuman kɛ daminɛ na min bɛ jateminɛ balo. Walasa k’u yɛrɛ jira kalan ni ɲinini ɲininkaliw senfɛ, SaaS jɛkuluw ka kan k’u sinsin jaabi masinw bɛ fɛnw kɔrɔ fɔ cogo min na ani k’u fara ɲɔgɔn kan ni gɛlɛyaw, baarakɛcogo ani sɔrɔw ye. Ni an y’a lajɛ ni waleyali ye, o kɔrɔ ye ko: Ka kulu ni baarakɛcogo ɲɛfɔ ka jɛya walasa AI baarakɛminɛnw ka se ka fɛn dilannen ni gɛlɛya ɲumanw ni sannikɛlaw magow jɛ. Ɲɛfɔli kɔnɔkow bɔli minnu bɛ ɲininkaliw jaabi “min bɛ yen”, “a bɛ kɛ cogo di”, ani “i ka kan ka baara kɛ ni waati jumɛn ye” kan jɛlen na, kan min tɛ jɛya Baara kɛli ni daɲɛw ye minnu bɛ bɛn ɲɔgɔn ma ani jɔyɔrɔfacogo ɲɛ kolomaw, sɛbɛnniw ani kɔnɔkow dɛmɛnanw kɔnɔ Kɔnɔkow labɛnni walasa ka bɔli kɛ ni barokun jɛlenw ye, dakun surunw, ani jaabi tilennenw minnu bɛ se ka lajɛ AI sitɛmuw fɛ (dɔn bɛ fara o kan nata la) Jaabi-minɛn minnu bɛ baara kɛ ni AI ye, olu bɛnnen don kosɛbɛ sannikɛlaw ma minnu bɛ ka sugandiliw kalan, ka sɛgɛsɛgɛli kɛ, ani ka hakilinaw sɛgɛsɛgɛ sani jateminɛ fɔlɔ ka daminɛ. Ni marka dɔ ma ye nin waati in na, a ka c’a la, a tɛna sannikɛla dɔ ka lisi surun kɛ. McKinsey ka ɲininiw y’a jira ko ɲininikɛlaw 70% minnu bɛ baara kɛ ni AI ye, olu bɛ ɲininkaliw kɛ hali bi sanfɛla la walasa ka kunnafoni sɔrɔ kulu dɔ kan, fɛn dɔ kan, fɛn dɔ kan, walima baarakɛminɛn dɔ kan. Source (Sɔrɔyɔrɔ). Nin ɲininkali fɔlɔ ninnu bɛ AI ɲininikɛlanw suguya labɛn cogo min na, u bɛ feerekɛla minnu jɛ ni baarakɛcogo kɛrɛnkɛrɛnnenw ye, ani fɛn minnu bɛ bɔ kɛnɛ kan siɲɛ caman ko “u bɛ tali kɛ” ni SaaS kuntigiw ka ɲɛnamaya kɛcogo bɛ taa ɲɛ. SaaS sannikɛlaw fɛ, o nafa ka bon bawo feerekɛlaw ka lisi bɛ dilan joona. A ka c’a la, sannikɛlaw bɛ daminɛ ni fura minnu bɛ se ka kɛ, olu lisɛli jan ye ani feerekɛla 8 lamini na, ka kɛɲɛ ni Responsive ka ɲininiw ye, sanni u k’a dɔgɔya ka se saba walima naani ma walasa ka jateminɛ jugu kɛ. Ka ɲɛtaa kɛ AEO yecogo daminɛ na, o kɔrɔ ye ko a jɛlen don ko fura in bɛ tali kɛ gɛlɛya ɲumanw na, baarakɛcogo ɲumanw na, ani a kɔlɔlɔw la jaabiw la minnu bɛ sɔrɔ AI fɛ. O jirali joona bɛ dɔ fara a kan ko taamasiyɛn dɔ bɛ taa ɲɛ ka don jateminɛ-taama ɲininkaliw la, yɔrɔ minnu na lisi surunw ni kɔrɔbɔli latigɛw bɛ kɛ. Mun na a ka di ne yenin fɛɛrɛ in : A nafa ka bon ka yecogo jateminɛ daminɛ na ani k’a jɔyɔrɔ faamuya feereli siratigɛ la. Kunnafoni kɔnɔkow tun bɛ digili kɛmɛ caman walima ba caman bila ka taa ɛntɛrinɛti yɔrɔw la, nka ni AI Overviews de tun bɛ Google sanfɛ, o ɲininkali caman bɛ jaabi k’u ɲɛsin SERP ma, tuma caman na, o bɛ kɛ sababu ye ka digili kɛ hali dɔɔnin. Ni an ye SEO ni klikɛli jateminɛw lajɛ, a bɛna nɔgɔya k’a fɔ ko sugukɛlaw ka kan ka sanfɛla cɛsiriw bila jɔyɔrɔ fɔlɔ la, nka o tɛ kɛ SaaS AEO la, bawo AEO jateminɛw bɛ maana wɛrɛ fɔ. Yecogo, citation ani doncogo sumani AI-generated jaabiw kɔnɔ, o bɛ maana wɛrɛ fɔ. Kɔnɔkow daminɛ na, olu bɛ kɛ donfɛn nafamaba ye sannikɛlaw bɛ taamasiyɛnw sɔrɔ cogo min na, k’u dɔn, ani ka taa ɲɛ sannikɛlaw ka taama bɛɛ kɔnɔ — k’a ta jateminɛ na ka se kɔrɔbɔli ma ani kiliyan maralenw ma. 2. Aw bɛ se ka jateminɛ kɛcogo ɲuman kɛ ɲininkaliw kama, aw kana gɛlɛyaw dɔnni dɔrɔn kɛ. Ni sannikɛlaw ye gɛlɛya dɔ faamuya dɔrɔn, u sinsinnen bɛ bɔ kalan na ka taa jateminɛ na. Nin waati in na, sannikɛlaw bɛ sugandiliw suma ɲɔgɔn na ani ka bɛnkanw sɛmɛntiya. SaaS jɛkuluw ka kan ka o mago in ɲɛnabɔ cogo la min bɛ baara kɛ AEO ɲinini na. I n’a fɔ kunnafoni ɲininiw, jateminɛ ɲininkali caman bɛna jaabi AI kɔnɔ ni digili ma kɛ marka‘s site kan. Ni yecogo tɛ nin waati in na, a ka c’a la, fɛn dɔ tɛna kɛ sannikɛla ka lisi surun ye. Walasa ka se ka jateminɛ-taama ɲininkaliw kɛ ka ɲɛ: Aw ye to ka siti in ladamu ni kunnafoniw ye i n’a fɔ sɔngɔko, fɛnw ani fɛnw faralen ɲɔgɔn kan. Aw ka kunnafoniw sɔrɔ minnu bɛ se ka sɛgɛsɛgɛ ani minnu bɛ se ka sɛgɛsɛgɛ waleyali cɛsiri, sɔngɔko, ani dɔnniyaw kan walasa ka a jira ko taamasiyɛn bɛ bɔ baarakɛcogo suguya bɛɛ la min bɛ tali kɛ o la walima kiliyanw ka ɲininkali. Aw bɛ landingɛsɛbɛnw dabɔ minnu ɲɛsinnen bɛ fɛn dilannen nafa jiracogo ma ka jɛya ani a bɛ baara kɛ ni lamɛnnikɛlaw ye minnu ka fisa ni tɔw bɛɛ ye. Kɔlɔsili nafama: Jateminɛ-yɔrɔ ɲininkali minnu tɛ jaabi sɔrɔ fɛntigi dɔ fɛ, mɔgɔ wɛrɛ bɛna olu jaabi, wa o kɔnɔkow tɛ se ka fɛn dilannen jɔyɔrɔ jira ka ɲɛ. Misali la, ni SaaS sɔngɔko dogolen don, AEO sitɛmuw tɛ se ka kunnafoni lakikaw fɔcogo wɛrɛ fɔ, wa u bɛna sama ka bɔ sɔrɔyɔrɔ bɛɛ la min bɛ sɔrɔ o nɔ na. Mun na nin fɛɛrɛ in ka di n ye: Jateminɛ-yɔrɔ yecogo ye yɔrɔ damadɔw dɔ ye, yɔrɔ minnu na, fɛntigiw bɛ se ka nɔ bila k’a ɲɛsin fɛn dɔ ma ni fɛn dɔ bɛ kɛ lisi surun kɔnɔ. 3. Aw ye aw sinsin kosɛbɛ PR, mɔgɔ sabananw ka tiɲɛni, ani dannaya taamasiɲɛw kan. Jaabi-minɛn minnu bɛ baara kɛ ni AI ye, olu bɛ girinyaba da mɔgɔ sabananw ka sɔrɔyɔrɔw kan n’u bɛ SaaS fɛn minnu ka kan ka bɔ kɛnɛ kan, k’u suma ɲɔgɔn na, ani k’u laadi, olu jateminɛ. Hali ni mɔgɔ fɔlɔ kɔnɔkow bɛ dɛmɛ ka nafa sɔrɔ, dannaya bɛ sɔrɔ tuma caman na ni yɛrɛmahɔrɔnya tiɲɛni ye. A kɛcogo: Aw ye wari bila PR ɲɛfɔli basigilen na izini sɛbɛnw kɔnɔ minnu tɔgɔ ka di. Seginkanni yɔrɔw ɲɛnabɔ ni timinandiya ye (misali la, G2, Capterra, Gartner Peer Insights) ni jɔyɔrɔfalen tigitigi ye ani dalilu yɔrɔw ye minnu bɛ waati la. Secure partner mentions minnu bɛ fanga di fɛn dɔ baarakɛcogo n’a jɛ-ka-baara ma. Ka bɛnkan sabati mɔgɔ sabananw ka sɔrɔyɔrɔw la tɔgɔdacogo la, kuluw ɲɛfɔli la, ani nafa jiracogo la. Ni sɔrɔyɔrɔ yɛrɛmahɔrɔnyalen caman bɛ SaaS fɛn dɔ ɲɛfɔ cogo kelen na, AI sitɛmuw bɛ dannaya sɔrɔ a taamasiyɛn lajɛlen n’a jɔyɔrɔfalen na. PR dakunw, sɛgɛsɛgɛlikɛlaw ka hakilinaw, seginnkanniw, ani jɛɲɔgɔnw kɔnɔkow bɛ jaabiw masinw dɛmɛ ka fɔtaw tiɲɛ, ka daɲɛ fila-fila ɲɛnabɔ, ani ka dannaya jateminɛ. O nafa ka bon kɛrɛnkɛrɛnnenya la ɲɔgɔndan, “best for,” ani ɲininkaliw cogoya wɛrɛw la, yɔrɔ minnu na jaabi-minɛnw tɛ u jigi da mɔgɔ fɔlɔ ka cikanw dɔrɔn kan. SaaS taamasiyɛn minnu bɛ ni mɔgɔ sabananw senna-tɛgɛrɛ barikama ye, olu bɛ fɔ ka caya, wa u bɛ don tuma bɛɛ AI ka jateminɛw kɔnɔ. Tiɲɛ na, marka dɔ bɛ se ka yecogo sɔrɔ AIO kɔnɔ k’a sɔrɔ a ma jɔyɔrɔ ɲuman sɔrɔ (walima hali a ma jɔyɔrɔba sɔrɔ hali dɔɔnin) Google ɲinini jaabiw laadalama kɔnɔ. Nin ye misali ɲinini kumasen ye: “crm ɲuman ɲinw furakɛli kama.” CareStack jɔyɔrɔ ka bon AIO la, nka a bɛ ɲɛ filanan cɛmancɛ la laadala jaabiw la. Mun na nin fɛɛrɛ in ka di n ye: N b’a ye tuma bɛɛ ko AI baarakɛminɛnw bɛ u jigi da mɔgɔ sabananw ka sɔrɔyɔrɔw kan ni sannikɛlaw bɛ ka sugandiliw suma ɲɔgɔn na. A kɛra ten tuma bɛɛ. “Best for” suguya ɲininkaliw tun bɛ mara tuma bɛɛ (a fanba) mɔgɔ sabananw ka dannaya kama laadala SEO la, wa a bɛ kɛ cogo la. Google tun b’a fɛ ka sɔrɔyɔrɔw bila jɔyɔrɔ fɔlɔ la minnu tɛ mɔgɔ bɔ mɔgɔ la. 4. Aw bɛ hyper-targeted sɔrɔ. AEO bɛ sara di kɛrɛnkɛrɛnnenya la. Mɔgɔw ​​bɛ baara kɛ ni AI baarakɛminɛnw ye ka taa a fɛ walasa ka ɲininkali caman kɛ, minnu bɛ tali kɛ sigida la; ɲininkaliw bɛ ka kɛ fɛn bɛɛ lajɛlen ye, wa u bɛ ka kɛ cogoya ye. Sanni u ka suguya caman ɲini, sannikɛlaw bɛ ladilikanw ɲini sisan minnu bɛ bɛn u ka baarakɛyɔrɔ ma, u jɔyɔrɔ ma,dantigɛliw, walima baarakɛcogo. Ni ɲininkali kɛrɛnkɛrɛnnenba dɔ ɲɛnabɔra, SaaS kɔnɔkow minnu bɛ jɔyɔrɔba la, olu bɛ kɛ ɲɔgɔndan ye kosɛbɛ bawo u tɛ sigida taamasiyɛn bɛrɛ di. Kɔnɔkow minnu ɲɛsinnen don kosɛbɛ — minnu sinsinnen bɛ lamɛnnikɛlaw, izini, jɔyɔrɔ walima ko kɛlen dɔ kan min ɲɛfɔlen don — a ka c’a la kosɛbɛ ka bɔ kɛnɛ kan, ka u lajɛ ka surunya, ani ka ladilikan di ni sannikɛlaw ye ɲininkaliw kɛ niche walima contextual questions ye. A kɛcogo: Aw bɛ ɲɛw dilan minnu ɲɛsinnen bɛ izini walima yɔrɔ kɛrɛnkɛrɛnnenw ma (misali la, “CRM ka ɲɛsin ɲinw furakɛli ma,” “ERP ka ɲɛsin jɔli baarakɛyɔrɔw ma”) Kɔnɔkow bɛn sannikɛla ka kan lakika ma, lamɛnnikɛla kɛrɛnkɛrɛnnenw b’u ka gɛlɛyaw n’u ka baarakɛcogo ɲɛfɔ cogo min na, o fana sen bɛ o la. Ɲininkali minnu bɛ kɛ sigida la, olu ɲɛnabɔ, i n’a fɔ sariya labatoli wajibiyalenw, jɛ-ka-baara, walima baarakɛcogo gɛlɛyaw minnu ɲɔgɔn tɛ yɔrɔ dɔ la. Aw ye aw yɛrɛ tanga jɔyɔrɔfacogo bɛɛ ma walasa ka kuma jɛlenw fɔ, minnu b’a jira ko fura in dilannen don jɔn de kama—ani a ma kɛ mɔgɔ min ye Laɲiniw barika bonya ɲɛw, sɛbɛnw, PR, ani mɔgɔ sabananw ka lisi kan walasa AI sitɛmuw ka taamasiyɛnw ye minnu bɛ bɛn ɲɔgɔn ma. Relevance ye sababuba ye min b’a to niche ɲininkaliw bɛ bɔ hali feerekɛla misɛnninw na AI Overviews kɔnɔ. Ni an seginna CareStack kan, “CRM ɲuman ɲinw furakɛli kama” misali fɔlɔ la, CareStack bɛ bɔ kosɛbɛ jaabiw la minnu bɛ tali kɛ AI la hali ni a ma jɔyɔrɔ fɔlɔ la laadala ɲinini jaabiw la. Fɛn min bɛ dilan ka bɛn lamɛnnikɛla kɛrɛnkɛrɛnnen dɔ ma, o b’a kɛ bɛnkan barikama ye ɲininkali in na, hali n’a ma kɛ ni jatebɔyɔrɔ organique sanfɛtaw ye. Mun na nin fɛɛrɛ in ka di n ye: Nafa ni kɛrɛnkɛrɛnnenya ye fɛɛrɛw ye minnu bɛ se ka da u kan kosɛbɛ walasa ka yecogo sɔrɔ ɲinini na min bɛ kɛ ni AI ye. SaaS ekipuw fɛ, hyper-targeting tɛ dɔ fara fɛnw jirali kan dɔrɔn—a bɛ jɔyɔrɔ jɛlen di ani ka sira barikamaba dilan ka taa fɛn caman tigɛli la. Ni sannikɛlaw bɛ segin-ka-bɔnye ye ko fɛn dɔ ɲɛfɔra ko a jɔra u ka baarakɛcogo walima u ka baarakɛyɔrɔ tigitigi kama, o bɛ dɔ bɔ ɲɔgɔnkanu na, ka dɔ fara u ka dannaya kan, wa a bɛ kɛ sababu ye ka tɛmɛn ka bɔ sɔrɔli la ka taa kɔrɔbɔli la, o ka teli ka kɛ kosɛbɛ. 5. Aw bɛ kɔnɔkow labɛn walasa AI ka se k’u bɔ, k’u lajɛ, k’u fɔ Kɔnɔkow minnu labɛnna ka jɛya ani minnu kɔrɔ fɔli ka nɔgɔn, a ka c’a la, olu bɛ lajɛ ka surunya. A kɛcogo: Baara kɛ ni ɲininkali ni jaabi cogoya jɛlen ye sannikɛlaw bɛ ɲininkali jɔnjɔn minnu kɛ, baara kɛ ni ɲininkaliw kunbabaw ye minnu bɛ tugu ɲɔgɔn kɔ ni jaabi tilennenw ye. Aw bɛ fɛnw ɲɛfɔ ka jɛya, i n’a fɔ fɛn dilannen ye min ye, a bɛ kɛ mɔgɔ minnu ye, ani a ni fura wɛrɛw tɛ kelen ye cogo min na. Ɲɛfɔliw ka surunya ani ka ɲɛsin u ma, kɛrɛnkɛrɛnnenya la ɲɛfɔliw, u kɛcogo ani baarakɛcogo. Baara kɛ ni daɲɛw ye minnu bɛ bɛn ɲɔgɔn ma ɲɛw bɛɛ kɔnɔ walasa ka AI sitɛmuw ɲagami Kɔnɔkow tila-tila ka kɛ yɔrɔw ye minnu bɛ se ka sɛgɛsɛgɛ ni kunkankow jɛlenw ye ani ni u sigiyɔrɔw ye minnu bɛ bɛn hakili ma Aw ye aw yɛrɛ tanga kunnafoni jɔnjɔnw suturali ma fo ka se yɔrɔ janw na minnu bɛ kopi kɛ walima minnu bɛ lakali kojugu Ni kunnafoniw nɔgɔyara AI sitɛmuw bolo ka u lajɛ ka ɲɛ, a ka teli ka fɔ ko taamasiyɛn in bɛ fɔ sɔrɔli ni jateminɛ ɲininkaliw senfɛ, o bɛ dɔ fara yecogo kan waatiw la minnu bɛ nɔ bila lisi surunw ni kɔrɔbɔliw la. Mun na nin fɛɛrɛ in ka di ne ye: Kɔnɔkow minnu labɛnna ka ɲɛ, olu nafa ka bon tuma bɛɛ. A nafa ka bon caman na; a nafa ka bon SEO la tiɲɛ na, nka jateminɛ wɛrɛ dɔw kɛli ɲɛfɔli jɛlen diliko kan AEO ma, o tɛ dimi. Misali dɔ min bɛ cɛsiri wɛrɛ Kɛ walasa ka jɛya Di, o ye kɔrɔko sabatili ye, HubSpot bɛ baara Kɛ ni fɛɛrɛ ye. Ni kɔrɔ saba-saba ye, sɛbɛnnikɛlaw bɛ jɛɲɔgɔnyaw ɲɛfɔ koɲɛw, fɛnw ani kumasenw cɛ. Misali la, “HubSpot’s AEO grader ye baarakɛminɛn ye min bɛ kɛ AEO kɛrɛnkɛrɛnnenw fɛ walasa ka marka dusukunnataw lajɛ AI ɲininikɛminɛnw kɔnɔ.” 6. Ka fɛɛrɛ dɔ waleya min labɛnna ka ɲɛ. Skema ye cogoya ye min bɛ kɛ ka kunnafonidilanw labɛn minnu bɛ fara ɛntɛrinɛti yɔrɔ dɔ ka HTML kan. A bɛ ɲininikɛlaw dɛmɛ u ka ɲɛ dɔ bɛ min jira, u k’o faamu, n’a ye sigicogo fara kunnafoniw kan. AI sitɛmuw ta fan fɛ, a bɛ kɔnɔkow fara ɲɔgɔn kan walima k’u barika bonya k’a sɔrɔ a ma ɲɛfɛla walima, o la, kalanden degun. A kɛcogo: Skema suguya minnu bɛ bɛn ɲɛw laɲini ma, olu waleya, i n’a fɔ FAQ, Product, SoftwareApplication, Review, Organization ani Article Aw ye aw jija schema bɛ ɲɛ kan kɔnɔkow yelenw jira, aw kana bɛnbaliya walima taamasiyɛn caya kojugu Aw bɛ fɛnw ɲɛfɔ tuma bɛɛ, i n’a fɔ fɛn dilannenw tɔgɔw, u tɔgɔw, sɛbɛnnikɛlaw ani jɛkuluw Baara kɛ ni schema ye walasa ka jɛɲɔgɔnyaw ɲɛfɔ, i n’a fɔ jɔn ye kɔnɔkow da, fɛn dɔ bɛ min kɛ, ani a bɛ lajɛ cogo min na Schema ye laadala SEO dɛmɛ kabini tuma jan, nka a jɔyɔrɔ bɛ ka jɛya kosɛbɛ AI yecogo la — kɛrɛnkɛrɛnnenya la Google ka AI Overviews la. Molly Nogami ni Ben Tannenbaum ye sɛgɛsɛgɛli kɛ yecogo nɔfɛkow kan, minnu bɛ sɔrɔ sɛgɛsɛgɛli kɛcogo barikamaw, barikamaw, ani minnu tɛ yen. U ka sɔrɔw y’a Jira ko ɲɛ minnu bɛ ni schema (schema) waleyali ɲuman ye, olu bɛ To ka Bɔ AI Overviews kɔnɔ, wa u fana bɛ baara Kɛa ka fisa ni laadala ɲinini jaabiw ye. Ɲɛ minnu ka schema ma waleya ka ɲɛ — walima schema tɛ minnu na fewu — olu ma se ka bɔ AI Overviews kɔnɔ. Mun na nin fɛɛrɛ in ka di n ye: Schema waleyali ka di n ye kabini san caman. Tuma dɔw la, markaw bɛ se ka o sɛgɛsɛgɛli jaabiw ye ɲinini kɔnɔ tile kɔnɔ. Misali la, ni seginnkanni kɛcogo bɛ kɛ SaaS fɛn dɔ kan, seginnkanni dolow bɛ bɔ lisi organique kɛrɛfɛ. N ye dɔnniya panɛliw lakana n yɛrɛ ni kiliyanw ye k’a sababu kɛ schema ye. AEO for SaaS: Fɛɛrɛw walasa ka ɲɛtaa nɔfɛtaama. AEO ka ɲɛtaa nɔfɛtaama bɛ hakilina caman cili de wajibiya. SEO ye klikiw ni impressions minnu di, brands tɛ olu sɔrɔ tugun. O nɔ na, ​​jateminɛw ka kan ka AI yecogo, marka wulicogo, ani min nafa ka bon, sɔrɔko dafa. A doncogo ni a yecogo AI jaabiw kɔnɔ Sani sɔrɔli min bɛ kɛ ni AI ye, o ka se ka nɔ bila kɔrɔbɔliw la walima sɔrɔ la, fɛn dɔ ka kan ka bɔ jaabiw la sannikɛlaw bɛ minnu ye tiɲɛ na. AI ka jaabiw sendoncogo n’a yecogo ye taamasiyɛn jɔnjɔnw ye minnu b’a jira ko AEO ka fɛɛrɛ dɔ bɛ baara la. AI ka yecogo tɛ i n’a fɔ laadala jatebɔw, o bɛ tali kɛ sɔrɔli, jɔyɔrɔ ani sigida la. Ka fɔ, ka kuma surunya, walima ka ɲɛfɔli kɛ jaabi dɔ kɔnɔ, tuma caman na, o nafa ka bon ka tɛmɛ ɲɛ kelen ka jatebɔ kan, sɔrɔcogo fɛnɲɛnamaw la. Walasa ka o nɔfɛtaama ka ɲɛ: Kɔlɔsili kɛ fɔlɔfɔlɔ sɔrɔli ni jateminɛ ɲininkaliw la AI Lajɛba ni fɛnw falen-falen baarakɛminɛnw kɔnɔ A sɛbɛn ni o taamasiyɛn, o fɛn dilannen walima o ɲɛw kofɔlen don walima ni u kofɔra, hali ni o yɔrɔ tɛ yen min bɛ se ka digi AI bɛ fɛn dilannen ɲɛfɔ cogo min na, i k’o lajɛ, i n’a fɔ kuluw bilali, baarakɛcogo, ani a kɛcogo Aw ye yecogo suma ɲininkali suguyaw la, i n’a fɔ hakilijagabɔ, sangaɲɔgɔnma, ani ɲininkaliw “ka fisa ni tɔw bɛɛ ye”. Aw bɛ a ɲini ka kɛ kelen ye waati kɔnɔ, sanni ka kɛ siɲɛ kelen ye Kɔlɔsili nafama : N hakili la, yecogo tɛ se a yɛrɛ ma, bawo a tɛ baara kɛ ni feereli ye tuma bɛɛ. Yeli ka kan ka tugu fɛn caman tigɛli ni sɔrɔ kɛrɛfɛ. N bɛ don o la o kɔfɛ. Kɔrɔbɔli tɔgɔladonni minnu bɛ nɔ bila AI ka cikanw na Kɔrɔbɔli bolonɔbila ye taamasyɛn jɛlen ye min b’a jira ko sɔrɔli jiginna ka kɛ laɲini ye. Ni AEO bɛ baara kɛ jago in kama, a bɛna jira yan, i n’a fɔ fɛn laban min bɛ kɛ ka fɛnw digi, nka a bɛna kɛ fana fanga ye min ye sannikɛlaw bila ka kɔrɔbɔli daminɛ ni u ye fɛn in sɔrɔ jaabiw kɔnɔ minnu bɛ tali kɛ AI fɛ. Walasa k’a faamu cogo min na AEO bɛ dɛmɛ don kɔrɔbɔli hakɛ la, ekipuw bɛ se ka: Kɔlɔsili Referral Traffic ka bɔ AI Tools la Seginw ni kɔrɔbɔli daminɛw dɔn minnu bɛ bɔ sɔrɔyɔrɔw la i n’a fɔ ChatGPT, Perplexity, ani Gemini. Ekipuw bɛ se ka tuguni sigi sen kan nin cogo in na GA4 kɔnɔ ni ko kɛlenw ye. Yɛlɛma minnu kɛra, olu sɛbɛn i n’a fɔ butɔni digilen, ka kɔrɔbɔli ɲini, walima ka sɛbɛn ci mɔgɔw ma minnu nana o yɔrɔ la AI fɛ. Formulaire cilenw bɛ sɛbɛn u yɛrɛma GA4 kɔnɔ, nka u ka kan ka daminɛ fɔlɔ. Walasa ka sɛbɛnfura falenw daminɛ: Aw ye taa GA4 la > “Admin” digi (cog min bɛ duguma kinin fɛ) > Data Streams > I ka site web digi. O ka kan ka “web stream details” ani “Enhanced Measurement” da wuli, i n’a fɔ a jiralen bɛ cogo min na nin ja in na. Aw bɛ sumanikɛlan ɲininenw bɛɛ wuli walasa ka tuguni daminɛ. Ni o kɛra, o ko kɛlenw bɛna jira ko kɛlenw jatebɔsɛbɛn kɔnɔ. Pro tip: Ni a sigilen don, ekipuw bɛ se ka waati yɛrɛyɛrɛ dashboardw dilan Google Looker Studio kɔnɔ walasa ka ɲɛtaa kɔlɔsi ni filɛli filɛli ye min kɔnɔ AEO taamasiyɛnw dɔrɔn bɛ sɔrɔ. Baara kɛ ni Assisted-Conversion Reporting ye AI-driven discovery, a man teli ka kɛ sababu ye ka mɔgɔw ladɔnniya joona. SaaS taama fanba la, sannikɛlaw bɛ fɛn dɔ sɔrɔ jaabi dɔ la min bɛ bɔ AI fɛ kabini a daminɛ na. O kɔfɛ, u bɛ taa a fɛ ka ɲinini kɛ yɔrɔ wɛrɛw la, ka fɛn caman sɛmɛntiya kɔfɛ dɔrɔn ni ɲinini ye min bɛ kɛ ni taamasiyɛn ye, ni taamasiyɛn tilennenw ye, walima sira wɛrɛ fɛ. O de y’a to AI ka kan ka jate i n’a fɔ dɛmɛbaga, a man kan ka jate i n’a fɔ fɛn min bɛ kɛ ni fɛn laban ye. Sani i k’a jira ko AI taamasiyɛnw bɛna fɛn caman tigɛli kɛ u dan na, i ka AI-driven sessions (AI-driven sessions) bɛ dɛmɛ don fɛn caman tigɛli la cogo min na waati kɔnɔ ni multi-touch attribution (maga caman-caman) ni lamɛnnikɛlaw ka sɛgɛsɛgɛli ye, olu lajɛ. GA4 kɔnɔ, o kɛcogo nɔgɔman dɔ ye segin-ka-bɔnye rapɔɔri ye. O b’a to ekipuw bɛ se ka baarakɛlaw suma minnu sera AI sɔrɔyɔrɔ dɔ fɛ ni baarakɛlaw ye minnu labanna ka fɛn caman sɛmɛntiya, k’a jira siɲɛ joli kulu fila ninnu bɛ ɲɔgɔn dafa. Walasa k’o waleya waleyali la: Segin dɔ dabɔ AI-driven sessions kama, ka baara kɛ ni source walima medium filters ye minnu bɛ traffic minɛ ka bɔ baarakɛminɛnw na i n’a fɔ ChatGPT, Perplexity ani Gemini Aw ye tilayɔrɔ filanan dabɔ fɛn caman tigɛlikɛlaw ye, i n’a fɔ baarakɛlaw minnu ye kɔrɔbɔli tɔgɔsɛbɛnni dafa walima sɛbɛn cilen Baara kɛ ni segment overlap view ye walasa ka baarakɛlaw dɔn minnu sera fɔlɔ AI fɛ nka u jiginna kɔfɛ sira wɛrɛ fɛ O fɛɛrɛ in bɛ dɛmɛ ka AEO ka dɛmɛ lakika bɔ kɛnɛ kan. Hali ni AI tɛ touchpoint laban ye, overlap analysis b’a jira ni AI-drivensɔrɔli bɛ ka baarakɛlaw bila senkan minnu bɛ se ka fɛn caman sɛmɛntiya kɔfɛ — a ka c’a la, laadala siraw fɛ minnu ka ca. Lift de demande min tɔgɔ ye ko Marka Ni fɛn dɔ bɔra jaabi dɔ la min dilanna AI fɛ, mɔgɔ nataw bɛ se ka segin kɔfɛ ni u ye o taamasiyɛn ɲini k’a ɲɛsin o yɔrɔ ma, ka taa o yɔrɔ la, walima ka fɛn kɛrɛnkɛrɛnnenw daɲɛw ɲini ni nafa sɔrɔla. Ikomi AI baarakɛminɛnw ka teli ka ɲininkali fɔlɔw jaabi k’a sɔrɔ u ma digi, ɲinini min bɛ kɛ ni taamasiyɛn ye, o bɛ kɛ fanga jateminɛnan ye. A b’a jira ko taamasiyɛn dɔ dɔnna, k’a hakili to a la, ka taa n’a ye sanni taama nata la. Walasa ka branded demand lift nɔfɛtaama ka ɲɛ: Kɔlɔsili kɛ ɲinini yiriwali taamasiyɛn na Google Search Console ani GA4 kɔnɔ. Fɛn kɛrɛnkɛrɛnnenw ɲininkali hakɛ lajɛ, i n’a fɔ fɛnw tɔgɔw, fɛnw faralen ɲɔgɔn kan, walima “{fɛn} sɔngɔko” ɲininiw. SaaS ekipuw fɛ, branded demand lift bɛ dɛmɛ ka attribution gap min dabɔra AI ɲinini fɛ, o bali. Pro Tip: Teori la, marka bɛna jira fɛn o fɛn na min bɛ kɛ ni marka ye. Aw ye ɲininiw ɲini minnu kɔnɔ, fɛntigi tɔgɔ ni ɲɔgɔndankɛlaw bɛ yen, k’a lajɛ ni fɛn dɔ bɛ yen min bɛ se ka kɔnɔkow lawuli, i n’a fɔ “danfara minnu bɛ u ni ɲɔgɔn cɛ,” “fɛn wɛrɛw,” walima kɔnɔkow lamini na, fɛntigi bɛ fɛn dɔw ɲɛnabɔ cogo min na ni i y’a suma ni ɲɔgɔndankɛlaw ye. Kɔrɔbɔli-ka-sara-Yɛlɛma hakɛ AI-Influenced baarakɛlaw fɛ Trial volume tɛ maana bɛɛ fɔ. Feereli ni kalo walima san sɔrɔ segin-seginlen de nafa ka bon kosɛbɛ SaaS kɔnɔ. AEO ka baarakɛcogo ɲuman hakɛ jiralan lakika ye ni AI ka baarakɛlaw bɛ wuli ka kɛ kiliyan saralenw ye. Walasa k’o suman ka ɲɛ: Segment baarakɛlaw minnu ye ɲɔgɔn sɔrɔ ni AI-driven touchpoints ye, hali n’a y’a sɔrɔ AI tun tɛ fɛn caman tigɛli sɔrɔyɔrɔ laban ye. Ekipuw bɛ se ka kɛ sababu ye k’o ɲɛnabɔ u kɔnɔna na, n’u ye kiliyanw ɲininka u ka kurun kɔnɔ, n’u ye jɛɲɔgɔnya kɛ ni AI ye u ka sannikɛlaw ka taama senfɛ. Aw ye kɔrɔbɔli-ka-sara jiginni hakɛw lajɛ nin kulu in na ani k’u suma ni ɲinini organique, kunnafonidilan saralenw, ani kɔrɔbɔliw ye minnu ɲɛmɔgɔya bɛ bɔ kɛnɛma Aw ye waati sɛgɛsɛgɛli kɛ ka se fɛn caman tigɛli ma, a kana kɛ fɛn caman tigɛli hakɛ dɔrɔn ye, walasa ka jateminɛ kɛ jateminɛ kɛcogo janw na. Yɛlɛmaw siri ka segin sɔrɔ kan, bɛnkan hakɛ ni yiriwali seko sen bɛ o la. Kunnafoni minnu bɛ sɔrɔ kiliyanw ka ɲɛnamaya kɔnɔ, olu ka ɲɛsin baarakɛlaw ma minnu bɛ baara kɛ ni AI ye SaaS tɔnw fɛ, kiliyan dɔ ka nafa kuntaalajan nafa ka bon. Ka kiliyanw ka ɲɛnamaya nafa (CLV) nɔfɛtaama AI ka baarakɛcogo la, o bɛ dɛmɛ k’a dɔn ni AEO bɛ ka kiliyanw sama minnu bɛ se ka kɛ kosɛbɛ sanni ka kɔrɔbɔli caman kɛ dɔrɔn. Walasa k’o suman ka ɲɛ: Baara kɛ ni kiliyan tilalenw ye ka bɔ sanfɛ. Track retention and churn rates for AI-influenced cohorts ka kɛɲɛ ni sɔrɔli sira wɛrɛw ye. Aw ye farali jateminɛw suma ɲɔgɔn na, i n’a fɔ fɛnw sɛgɛsɛgɛli, farali, walima sigiyɔrɔ bonya. Aw bɛ sɔrɔ suman waati kɔnɔ, aw kana kɛ bɛnkansɛbɛn fɔlɔ nafa dɔrɔn ye. AEO Baarakɛminɛn ɲumanw SaaS Jagokɛlaw ka Jɛkuluw ye Xfunnel (Funnel) ye Source (Sɔrɔyɔrɔ). XFunnel ye yɔrɔ ye min bɛ AI ɲinini yecogo n’a baarakɛcogo suman kanko misalibaw ni AI-driven jaabi-minɛnw kɔnɔ. A bɛ a lajɛ siɲɛ joli taamasiyɛn, fɛn dilannen walima kɔnɔkow bɛ bɔ kɛnɛ kan, ka fɔ, walima ka ɲɛfɔli kɛ AI sigidaw bɛɛ kɔnɔ, baarakɛminɛnw fana sen bɛ o la i n’a fɔ ChatGPT, Google AI Overviews/AI Mode, Gemini, Perplexity, Claude, ani dɔ wɛrɛw. Xfunnel bɛ hakilinaw di AEO kɛrɛnkɛrɛnnenw ma dusukunnataw kan, citation contexte, kan tilacogo, ani ɲɔgɔndan jɔyɔrɔko kan walasa ka ekipuw dɛmɛ u k’a faamu u bɛ ye yɔrɔ minnu na ani yɔrɔ minnu na danfara bɛ to yen. Mun na a ka di n ye: XFunnel Measure dabɔra kun ye walasa ka yecogo suman AI jaabiw kɔnɔ. A bɛ SaaS feereli jɛkuluw dɛmɛ u k’a faamu u bɛ u yɛrɛ jira yɔrɔ min na AI ka jaabiw la, u ɲɛfɔlen don cogo min na, jɔn b’u ye, ani yecogo bɛ se ka ɲɛ yɔrɔ min na. AEO ka jatebɔlan HubSpot’s AEO Grader bɛ yecogo, dusukunnataw ani ɲɔgɔndan jateminɛ jaabiw la minnu bɛ sɔrɔ AI fɛ walasa ka yɔrɔw jira minnu bɛ se ka dan sigi sɔrɔli la walima ka jɔyɔrɔfalen jira cogo jugu la. AEO Grader b’a lajɛ AI sitɛmuw bɛ taamasiyɛn dɔ kɔrɔ fɔ cogo min na: a ni min bɛ tali kɛ ɲɔgɔn na, a ɲɛfɔlen don cogo min na, ani n’a kɔnɔkow labɛnna ka jɛya fo ka se ka bɔ ani ka fɔ. AEO ka jatebɔlan: A bɛ taamasiyɛn yecogo jateminɛ AI ɲininikɛminɛnw ni LLMw bɛɛ kɔnɔ A bɛ dusukunnataw ni jɔyɔrɔko koɲɛw jira jaabiw kɔnɔ minnu bɛ sɔrɔ AI fɛ A bɛ bɛnbaliya jira cikanw walima jɛkulu faamuyali la A bɛ cogoyaw jira walasa ka jɛya, sigicogo ani bɔli kɛcogo ɲɛ Mun na a ka di n ye: AEO Grader bɛ teliya ani a baara ka nɔgɔn. A ka c’a la k’a miiri ko ni kɔnɔkow bɛ jɔyɔrɔ ɲuman na ani ni cikanw bɛ yɔrɔ la, o tuma na, o bɛna baara kɛ ni AI jaabiw ye, nka o tɛ kɛ tuma bɛɛ. AEO grader bɛ AI yecogo kɛ fɛn ye min bɛ se ka ye, o bɛ fɛɛrɛ teliya di SaaS ekipuw ma walasa u ka se ka ɲɔgɔndɛmɛbaliya ye sani a ka nɔ bilajateminɛ, kɔrɔbɔli, walima pibiliki. Semrush (Semrush) ye Source (Sɔrɔyɔrɔ). Semrush One ye SEO ni AEO-yɔrɔ ye min bɛ fɛn bɛɛ Kɛ kelen ye min bɛ daɲɛ kolomaw ɲinini Dɛmɛ, ɲɔgɔndan sɛgɛsɛgɛli, yɔrɔ jateminɛw, SEO jɔyɔrɔw nɔfɛtaama, kɔnɔkow ɲɛnabɔli, AI yecogo, teliya kɔlɔsili, ani fɛn wɛrɛw. O ye baarakɛminɛn sɔngɔ gɛlɛn ye, wa a bɛ daminɛ dɔrɔmɛ 199/kalo la. Mun na a ka di n ye : N ye Semrush kɛ kabini waati jan, wa a bɛɛ lajɛlen na, n hakili la, AEO ka teliya nɔfɛtaama ni AEO ɲɛtaa ladilikanw ka ɲi tiɲɛ na. N y’a Sɔrɔ baarakɛminɛn in ka ladilikanw bɛ Bɛn n yɛrɛ ka hakilinaw ma. Google Analytics 4. Bamako, Mali GA4 ye tiɲɛ fɔlɔ sɔrɔyɔrɔ ye. Hali n’a tɛ AI yecogo suman k’a ɲɛsin a yɛrɛ ma, a b’a jira min bɛ kɛ tiɲɛ na yɔrɔ dɔ kan AI ka sɔrɔ kɔfɛ — kɔrɔbɔli bɛ daminɛ, sɛbɛn cilenw, fɛn caman tigɛli dɛmɛlenw, ani sɔrɔko ko kɛlenw. SaaS ekipuw fɛ, GA4 bɛ baara kɛ ka ɲɛ walasa ka AI ka baarakɛlaw kɛcogo faamuya, u bɛ fɛn caman sɛmɛntiya cogo min na, ani u bɛ taa ɲɛ cogo min na funteni fɛ ni i y’a suma ni baarakɛlaw ye minnu bɛ bɔ ɲinini biologiki la, kunnafonidilanw na minnu bɛ sara, walima minnu bɛ bɔ kɛnɛ kan. Jagokɛyɔrɔ bɛɛ ka kan ka baara kɛ ni GA4 ye, wa a tɛ sara! Mun na a ka di n ye: GA4 bɛ AEO to dugukolo kan tiɲɛ na. A bɛ jago sɔrɔcogo lakikaw jira i n’a fɔ kɔrɔbɔli dɛmɛlenw, ɲinini minnu bɛ kɛ ni taamasiyɛn ye, baarakɛlaw minnu bɛ se kosɛbɛ, ani fɛn caman tigɛli sira barikamaw. AEO kɛrɛnkɛrɛnnenw ka kan ka AEO ka cɛsiriw siri jago sɔrɔta lakikaw la. Ɲininkali minnu bɛ kɛ tuma caman na AEOf walima SaaS kan. AEO ni SEO tɛ kelen ye cogo di SaaS kama? SEO bɛ sinsin blue link rankings kan, clicks, ani traffic kan. Bi ɲinini na, SEO bɛ daɲɛ kolomaw laɲini minnu bɛ cɛmancɛ- ka taa duguma-dakun na. O ni AEO ta tɛ kelen ye, a bɛ daɲɛ kolomaw laɲini minnu bɛ sanfɛla la, k’u bɔ kɛnɛ kan AI siraw la, sɔrɔli bɛ kɛ yɔrɔ minnu na, u kuncɛcogo, ani u cicogo jaabiw la minnu bɛ sɔrɔ AI fɛ. Yala an ka kan ka ɲɔgɔndan ɲɛw danfaralenw da wa? SaaS tɔnw ka kan ka jateminɛ kɛ ka ɲɛ danfaralenw dilan walasa ka ɲɔgɔndankɛlaw suma ɲɔgɔn na. Sanga ni fɛn wɛrɛw ɲɛ minnu bilalen don, olu bɛ AI sitɛmuw di sigida jɛlen ma, min bɛ se ka bɔ, jateminɛ-taama ɲininkaliw kama. Ikomi AI ka teli ka mɔgɔ sabananw ka tiɲɛni bila jɔyɔrɔ fɔlɔ la ɲininkaliw la i n’a fɔ nin, ka nɔ ɲuman bila mɔgɔ sabananw ka sɛbɛnw na yɔrɔ minnu na a bɛ se ka kɛ, o bɛ jateminɛ-taama yecogo barika bonya. An bɛ se ka sira di AI botw ma cogo di k’a sɔrɔ an ma siti baarakɛcogo tiɲɛ? Fo ni sariya dɔ farala a kan walasa ka AI botw bali ka yɔrɔ in lajɛ, u bɛna sɔn u yɛrɛma ka sɛgɛsɛgɛli kɛ ka da sariyaw kan minnu sigilen bɛ robots.txt file kɔnɔ. A ma jɛya ko AI cidenw b’u janto robots.txt la cogo min na, nka ciden dɔw, i n’a fɔ ChatGPT, y’a jira k’u bɛ disallow cikanw bonya. An bɛ AEO ka sirako cɛsiri cogo di ni kɔrɔbɔliw ni pibiliki ye? Aw bɛ AI minɛ i n’a fɔ dɛmɛn sira ani digi laban sɔrɔyɔrɔ. Baara kɛ ni GA4 dɛmɛnan-yɛrɛlabɔli kunnafonidi ye, segin-ka-bɔnye sɛgɛsɛgɛli, ani taamasiyɛnw i n’a fɔ ɲinini taamasiyɛn ani fɛn caman tigɛli hakɛ minnu bɛ kɛ ka kɛɲɛ ni kɔrɔbɔli ye. An ka kan ka sɔngɔko ni jɛkafɔw kuraya siɲɛ joli AEO ye? SaaS tɔnw ka kan ka sɔngɔko ni jɛ-ka-baara kura kɛ ni fɛn dɔw b’a la. Sannifeere ni jɛ-ka-baara kunnafoniw kura, minnu bɛ tiɲɛ, olu bɛ dɔ fara a kan ko kɔnɔkow bɛ da u la ani ka u fɔ jateminɛ waati la. Ka daminɛ AEO bɛ ka SaaS baarakɛyɔrɔ labɛn kaban ani sannikɛlaw bɛ fɛnw ɲini cogo min na, k’u sɔrɔ, k’u jateminɛ, ani k’u tɔgɔ sɛbɛn. Ekipu minnu bɛ se sɔrɔ bi, olu de b’u ka SEO jusigilanw bɛrɛbɛn AI-driven sɔrɔli kama, ka dɔgɔya siɲɛ fila jateminɛ-taama yecogo la, ka wari bila mɔgɔ sabananw ka dannaya la, ka kɔnɔkow labɛn walasa ka bɔli kɛ, ka ɲɛtaa suman kɔrɔbɔliw, pibiliki, ani sɔrɔ fɛ. Ni takeaway kelen bɛ yen, o ye nin ye : AEO bɛ baara kɛ dɔrɔn n’a bɛ baara la. O kɔrɔ ye ka yecogo baarakɛminɛnw fara ɲɔgɔn kan i n’a fɔ XFunnel ni diagnosticw i n’a fɔ HubSpot’s AEO Grader, ka latigɛw sinsin mɔgɔ fɔlɔ ka kunnafonidilanw kan ka bɔ GA4 la, ani ka to ka kɔnɔkow, PR, ani jɔyɔrɔfalenw bɛn ɲɔgɔn ma sannikɛlaw bɛ ɲinini kɛ tiɲɛ na ani ka latigɛ cogo min na.

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