What is the biggest weakness of food manufacturing websites?

The biggest weakness for food manufacturing websites is AEO, with an average score of just 13 out of 100. This means most sites in this vertical have significant room for improvement in this area.

Food Manufacturing Website Audit Report - AISO Studio

Overview

The food manufacturing industry faces a clear challenge online. Most websites in this space score well below what search engines and AI systems need to surface content. The average AISO score across all 202 sites is just 44 out of 100. That is a low bar. It also means there is a big opportunity for businesses that invest in their web presence now.

The strongest area for food manufacturing sites is SEO, with an average of 68. The weakest area is AEO, at just 13. According to Google's SEO documentation, sites that fail to meet basic technical standards risk losing visibility in both traditional and AI-powered search results.

What does this mean for your business? If your site scores above 44, you are already ahead of most competitors. If it scores below, you risk losing traffic to rivals who fix these issues first. According to the W3C Web Accessibility Initiative, accessible websites also reach a wider audience and reduce legal risk.

Key insight: 72% of food manufacturing websites score below 50. The majority of sites in this vertical are underperforming across multiple dimensions.

Summary Scores

AISO Score

SEO

Readability

Engagement

AEO

WCAG

Key Findings

72%

Score Below 50

More than half of sites in this vertical are underperforming.

39%

Missing Schema Markup

These sites have no structured data, making them harder for search engines and AI to understand.

27%

No Open Graph Tags

Without OG tags, shared links on social media appear without rich previews.

What This Means

These findings tell a simple story. Most food manufacturing websites were built without modern optimization in mind. They load, they look fine, but they fail to communicate with the systems that drive traffic today.

Search engines need structured data to understand your pages. AI answer engines need clear, direct answers to cite your content. Screen readers need proper HTML to serve users with disabilities. Missing any of these means missing out on visitors, customers, and revenue.

Key Takeaways

After analyzing 202 food manufacturing websites, here's what stands out most. These are the three most important points from the data.

Most sites score poorly overall. An average AISO score of 44 means the typical food manufacturing website misses more than half of what modern search and AI systems look for.
AEO is the weakest link. At just 13 on average, this dimension drags down overall scores. Fixing it first gives the biggest return.
Basic technical issues are widespread. 39% of sites lack schema markup. 27% have no Open Graph tags. These are quick wins that most sites have not addressed.

Bottom line: The food manufacturing industry is behind on web optimization. Early movers who fix these issues will gain a real edge in both search rankings and AI visibility.

How to Improve Your Score

Want to beat the average? Follow these steps in order. Each one builds on the last. Start with the basics and work your way up.

Step 1: Fix your technical SEO. Add a meta title, meta description, and canonical URL to every page. Add schema markup using JSON-LD. Add Open Graph tags so your links look good when shared. These changes take less than an hour and have an immediate impact.
Step 2: Improve readability. Rewrite your main pages at an 8th grade reading level. Use short sentences. Use simple words. Break up long paragraphs. According to Google, clear and simple content performs better in search results.
Step 3: Add engagement elements. Use headings, bullet lists, bold text, and blockquotes. Add images with descriptive alt text. Make your content easy to scan. Visitors decide within seconds whether to stay or leave.
Step 4: Optimize for AI engines. Add a FAQ section to your key pages. Use direct answer formats. Define what your business does in one clear sentence at the top of your homepage. AI systems like ChatGPT and Perplexity prefer content that gives a straight answer.
Step 5: Check accessibility. Run a WCAG audit. Ensure all images have alt text. Check that color contrast meets minimum ratios. Use semantic HTML elements like headings, lists, and landmarks. According to the W3C, over one billion people worldwide live with some form of disability.

Score Distribution

The charts below show how scores are spread across all 202 sites. The histogram groups sites by score range. The grade chart shows how many sites earned each letter grade. A score of 80 or above earns an A. Below 30 is an F.

AISO Score Ranges

0-9

10-19

20-29

30-39

40-49

50-59

60-69

70-79

80-89

90-99

Grade Distribution

0 (0%)

3 (1%)

53 (26%)

146 (72%)

Dimension Breakdown

Average scores across all 202 food manufacturing websites for each scoring dimension.

SEO

Readability

Engagement

AEO

WCAG

Full Results

The table below lists all 202 websites ranked by their overall AISO score. Each row shows the total score, letter grade, and individual dimension scores. Use it to see how sites in the food manufacturing space compare against each other.

Domains are partially blurred to protect privacy. Scores range from 0 to 100. Higher is better.

#	Domain	Score	Grade	SEO	Read.	Eng.	AEO	WCAG
1	mission***********	66	C	92	46	78	25	100
2	paea******	62	C	89	55	75	33	60
3	evansf*********	60	C	79	59	65	28	70
4	mbci*****	59	D	79	37	95	18	78
5	dhhs*******	59	D	82	31	90	25	79
6	extens***********	59	D	97	30	90	18	70
7	built*********	58	D	89	36	90	33	45
8	blackriv*************	58	D	82	49	68	20	77
9	cityo*********	57	D	64	37	80	28	90
10	diversif*************	57	D	84	47	65	10	89
11	partne**********	57	D	84	18	90	25	83
12	builti***********	57	D	92	27	90	33	45
13	sitese***********	56	D	67	49	95	26	43
14	be-n******	56	D	94	38	90	10	50
15	pickyo*********	56	D	77	53	80	33	33
16	madein**********	56	D	62	55	65	18	86
17	glanbianu**************	56	D	74	68	53	10	76
18	calmai***********	55	D	79	47	80	28	39
19	rhino*********	55	D	89	46	68	18	57
20	built********	54	D	92	21	90	26	45
21	builti***********	54	D	92	27	90	18	45
22	choos*******	54	D	89	0	75	34	95
23	tourt*********	54	D	68	67	50	10	78
24	felb******	53	D	77	41	60	25	72
25	tipton*********	53	D	87	31	63	18	79
26	arkans*********	52	D	72	27	95	26	47
27	builtin***********	52	D	92	20	90	18	45
28	business*************	52	D	86	38	78	10	52
29	mda.st*********	52	D	80	12	78	20	86
30	provid*********	52	D	79	31	58	18	86
31	edpn*****	52	D	89	25	60	30	67
32	seaboa***********	52	D	71	55	73	10	47
33	tnec*****	52	D	89	9	90	26	57
34	gastron***********	52	D	75	27	60	18	100
35	virginia*************	52	D	79	53	55	10	65
36	wed*****	52	D	84	32	68	10	79
37	lush*****	52	D	76	53	65	18	48
38	industr***********	51	D	94	30	58	23	55
39	choosed***********	51	D	94	27	95	18	20
40	goods*********	51	D	92	15	85	18	58
41	commerc***********	51	D	74	41	80	18	41
42	tapinto************	51	D	84	17	73	10	92
43	elpinto*************	51	D	86	40	65	10	58
44	newmexi***********	51	D	77	34	65	10	82
45	greaterp**************	51	D	86	19	80	10	73
46	stonesist***************	51	D	71	39	60	18	76
47	heritagesp****************	51	D	69	53	60	10	67
48	builtin***********	51	D	92	22	83	18	45
49	sheboyga**************	51	D	57	41	80	20	60
50	builtin************	50	D	89	16	90	18	45
51	frescaf***********	50	D	84	40	80	25	12
52	clf*****	50	D	61	35	90	18	50
53	agr.ge*********	50	D	92	18	55	10	92
54	pembertons****************	50	D	81	46	70	10	40
55	maryland*************	50	D	70	25	93	10	64
56	agricul***********	50	D	66	41	80	10	58
57	shamro***********	49	F	71	22	60	18	89
58	rivi*******	49	F	79	43	70	10	45
59	crowno*********	49	F	69	57	73	18	21
60	web.merrima*******************	49	F	64	38	65	10	75
61	missourip**************	49	F	86	29	63	35	30
62	unitedpr**************	49	F	69	37	53	10	89
63	lehigh**********	49	F	77	43	80	10	30
64	choose**********	48	F	83	35	60	10	58
65	develop***********	48	F	87	6	60	10	100
66	pnwca********	48	F	74	33	80	10	45
67	steube**********	48	F	59	38	65	10	80
68	manufac***********	48	F	55	45	48	8	98
69	belbra**********	48	F	69	41	55	10	70
70	empiric***********	48	F	89	19	85	18	33
71	hibw*****	48	F	72	65	40	10	47
72	livab*********	48	F	89	29	70	10	46
73	wyomingtable********************	48	F	64	46	60	18	56
74	planet***********	48	F	71	56	60	25	16
75	buil*******	47	F	92	9	70	26	49
76	select***********	47	F	79	25	85	18	29
77	jmsmu********	47	F	55	51	60	10	64
78	michi*******	47	F	82	31	63	10	53
79	delici*********	47	F	62	52	60	10	50
80	madein***********	46	F	79	16	70	18	55
81	fpe*****	46	F	74	40	60	10	50
82	business.indu***********************	46	F	67	56	50	10	47
83	thurst***********	46	F	57	50	80	10	27
84	greaterfo**************	46	F	79	9	75	10	73
85	florafo***********	46	F	84	42	68	10	23
86	mfca*****	46	F	67	31	80	25	25
87	reques**********	46	F	59	39	70	10	56
88	biz4******	46	F	86	32	65	10	40
89	svbfo*******	46	F	70	43	65	10	40
90	golden**********	45	F	45	55	56	25	40
91	dulcefo***********	45	F	79	44	60	10	27
92	ustit*********	45	F	79	40	60	10	35
93	thecampbe**************	45	F	74	36	50	10	58
94	comfortfoo****************	45	F	56	56	23	10	88
95	qualityf**************	45	F	79	35	40	10	72
96	gehlfooda**************	45	F	44	39	60	10	80
97	northcen*************	45	F	59	54	55	10	46
98	kab*****	45	F	74	36	55	18	45
99	bounce*********	45	F	76	5	75	10	75
100	alaska**********	44	F	66	46	50	10	46
101	vibranti**************	44	F	89	30	68	0	36
102	armstro*************	44	F	83	21	50	0	78
103	kingmak***********	44	F	64	34	68	10	50
104	kansasc***********	44	F	88	19	58	8	56
105	stone*******	44	F	76	33	63	18	26
106	vrol*****	44	F	62	41	60	18	35
107	visitrh*************	44	F	67	24	71	18	43
108	easw*******	44	F	69	38	60	10	43
109	bridgetown****************	44	F	68	49	45	0	64
110	dshs.*********	44	F	77	0	66	10	88
111	liana*********	44	F	57	41	43	20	67
112	culturef*************	43	F	64	36	75	10	30
113	colum*********	43	F	62	26	65	10	62
114	brown*********	43	F	74	12	65	25	50
115	wheatm**********	43	F	49	64	55	0	40
116	business**************	43	F	62	35	75	10	35
117	southwe************	43	F	74	31	60	10	44
118	redr******	43	F	77	17	53	10	70
119	bacho*********	43	F	57	39	68	26	22
120	weste********	43	F	66	39	60	10	38
121	griffi***********	43	F	89	11	80	10	29
122	trident************	42	F	75	7	50	10	89
123	simmon**********	42	F	76	33	53	0	50
124	nemep********	42	F	50	27	43	10	100
125	indepen*************	42	F	52	14	60	10	91
126	mkere********	42	F	45	42	80	10	33
127	impactw*************	42	F	69	16	61	0	77
128	alaska*********	41	F	52	29	50	25	53
129	fchente***********	41	F	64	47	60	0	27
130	roches**********	41	F	67	31	83	10	8
131	miocoa**********	41	F	54	36	60	10	47
132	esi*****	41	F	77	0	65	10	69
133	stirf********	40	F	76	5	55	10	73
134	tod*****	40	F	76	32	55	20	10
135	web.iow************	40	F	69	44	60	10	6
136	locatein*************	40	F	72	0	60	10	75
137	mit*****	40	F	84	5	70	10	38
138	suno*******	40	F	74	20	75	10	18
139	peachtr***********	39	F	51	66	30	0	40
140	bluefro*************	39	F	61	28	50	10	50
141	desertgol****************	39	F	71	41	50	10	16
142	ohio******	39	F	69	29	45	20	30
143	network.ga****************	39	F	63	35	60	10	22
144	ved*****	39	F	66	1	55	18	75
145	yesfred***********	39	F	52	5	65	10	82
146	everma***********	39	F	59	37	50	10	40
147	goldens*************	39	F	81	17	55	18	25
148	arizonaf*************	38	F	32	47	53	18	38
149	ipfi*******	38	F	54	3	60	10	80
150	upstates*************	38	F	89	0	70	10	28
151	agricultu**************	38	F	47	13	65	10	67
152	elfp*****	38	F	57	41	50	10	32
153	ready*********	37	F	61	43	43	0	39
154	florid**********	37	F	54	13	75	18	32
155	idahop**********	37	F	66	37	45	0	39
156	merg*****	37	F	56	43	60	10	6
157	kemper*********	37	F	47	29	25	10	86
158	rootskitc**************	37	F	74	0	45	0	90
159	manufact*************	37	F	76	18	35	0	67
160	global***********	37	F	44	44	50	10	33
161	columbu***********	37	F	84	0	70	10	30
162	tasty*********	37	F	42	41	50	10	44
163	business**************	37	F	56	33	68	10	10
164	sparta*********	37	F	67	15	55	10	47
165	seam*******	36	F	85	0	45	20	37
166	natc*******	36	F	47	44	50	10	25
167	valley*********	36	F	51	38	30	0	70
168	npco*******	35	F	69	0	80	10	18
169	southe***********	35	F	55	0	58	10	71
170	web.north****************	35	F	57	32	50	10	23
171	scri******	35	F	66	0	50	10	67
172	freedo***********	35	F	30	47	35	10	54
173	mende*********	35	F	40	36	58	10	28
174	chica*********	34	F	35	36	70	18	2
175	mich*******	34	F	42	20	68	10	31
176	madeino***********	34	F	57	34	30	0	55
177	surlea**********	34	F	42	36	40	10	42
178	avonf*******	33	F	71	20	50	10	15
179	missio**********	33	F	76	0	65	10	19
180	ncs*****	33	F	40	30	75	10	6
181	alpine*********	33	F	64	18	50	10	23
182	emmaus*********	32	F	42	31	50	10	25
183	mdme*****	32	F	59	8	45	10	47
184	milla*********	32	F	35	32	70	10	5
185	newkentu**************	31	F	37	23	50	18	28
186	azfr*******	30	F	61	10	50	20	9
187	choosec***********	30	F	15	64	25	15	20
188	f6s****	30	F	20	63	8	0	57
189	carolin*************	30	F	72	0	55	10	19
190	cloverd************	30	F	66	2	50	10	29
191	prosper***********	30	F	67	2	60	10	15
192	centr********	30	F	59	0	65	10	19
193	ricel*******	29	F	59	13	40	8	32
194	mn.***	29	F	12	72	15	0	40
195	cc1fo*******	29	F	37	37	50	0	18
196	tovaind***********	28	F	25	45	35	10	16
197	foodscien****************	28	F	15	59	20	15	20
198	right*********	27	F	54	0	40	10	41
199	fdac*****	26	F	47	0	25	0	80
200	njfoodp*************	25	F	45	0	43	10	36
201	porta********	24	F	20	30	33	15	20
202	edp*****	19	F	15	29	15	15	20

Frequently Asked Questions

What is the average AISO score for food manufacturing websites?

The average AISO score for food manufacturing websites is 44 out of 100. This is based on a scan of 202 sites in the manufacturing & industrial industry. The score combines five dimensions: SEO (68), readability (31), engagement (62), AEO (13), and WCAG accessibility (50).

How do food manufacturing websites perform on accessibility?

The average WCAG score is 50 out of 100. Many food manufacturing websites still lack basic accessibility features like alt text on images, proper heading structure, and sufficient color contrast. Improving accessibility helps you reach more users and reduces legal risk.

Are food manufacturing websites ready for AI search engines?

Not yet. The average AEO score is 13 out of 100. AI engines like ChatGPT, Perplexity, and Google AI Overview need structured data, FAQ sections, and direct answer formats to cite a website. Currently, 39% of food manufacturing sites have no schema markup at all.

What is the biggest weakness for food manufacturing websites?

The weakest dimension is AEO, with an average score of just 13. This represents the area where food manufacturing websites have the most room to grow. Focusing improvement efforts here will have the largest impact on overall scores.

How can I check my own website's score?

You can run a free audit on any website using AISO Studio. Enter your URL and get a full breakdown of your SEO, readability, engagement, AEO, and WCAG scores in under a minute. No signup required.

Methodology

We score each website across five areas. The AISO Score is a weighted mix of all five. It shows how well a site works for both people and AI systems. Here is what each area measures.

SEO checks meta tags, schema markup, headings, and other signals search engines use to crawl and index pages.
Readability looks at sentence length, word complexity, and plain language. Higher scores mean easier reading.
Engagement counts headings, lists, bold text, images, and other elements that make content easy to scan.
AEO checks if AI engines can find and cite the content. It looks for FAQ sections, direct answers, and structured data.
WCAG tests for color contrast, alt text, ARIA labels, and proper HTML. It follows the W3C accessibility guidelines.

SEO (Technical Search Optimization)

Checks meta titles, descriptions, canonical URLs, schema markup, Open Graph tags, heading structure, and other signals that help search engines crawl and index a page.

Readability

Measures the Flesch Reading Ease score, average sentence length, and word complexity. Higher scores mean the content is easier for the public to read and understand.

Engagement

Looks at content formatting: headings, lists, bold text, blockquotes, images, and other elements that make content easy to scan and read.

AEO (AI Engine Optimization)

Checks how well content is set up for AI answer engines like ChatGPT, Perplexity, and Google AI Overview. Looks for direct answer formats, FAQ sections, and clear definitions.

WCAG (Accessibility)

Tests for Web Content Accessibility Guidelines compliance: color contrast, alt text, ARIA labels, semantic HTML, and keyboard navigation support.

How Does YOUR Food Manufacturing Website Score?

The average food manufacturing website scores 44/100. Run a free audit to see where you stand and get actionable recommendations to improve your search visibility, AI readiness, and accessibility today.

Get Your Free Audit